Abstract
Matrix metalloproteinases (MMPs) are secreted and cell membrane-associated enzymes that remodel the extracellular matrix (ECM) and cleave extracellular proteins to promote tumor invasion, angiogenesis, immune evasion, and many other aspects of cancer progression. Among this family, the gelatinases MMP-2 and MMP-9, specialized for cleaving collagen IV, are tightly linked to metastatic progression in breast cancer and adverse clinical outcomes. Here, we summarize gelatinase biochemistry and regulation, including zymogen activation, TIMP control, cell-surface trafficking and tethering, and receptor-mediated clearance, and explain how crosstalk between ECM and proteases amplifies invasion and metastatic seeding. We then review therapeutic strategies in two parts: direct inhibition and indirect pathway modulation. Direct approaches emphasize selective small molecules (thiirane mechanism-based inhibitors, allosteric blockers of pro-MMP-9 activation) and protein biologics (monoclonal antibodies, nanobodies, engineered TIMPs). Indirect strategies target upstream signals that drive MMP-2/−9, including MAPK/AP-1, PI3K/Akt/mTOR, NF-κB, EGFR/JAK/STAT, and nuclear receptor and Nrf2/HO-1 programs, with agents that curb invasion, angiogenesis, and metastasis in breast cancer models. Together, these advances define a maturing toolkit for precise gelatinase control and support prospective evaluation in rational combinations to restrain metastatic progression in high-risk breast cancer.
Keywords: Matrix metalloproteases, Breast cancer, Tumor progression, Gelatinase inhibitors, Tumor microenvironment
Graphical Abstract

Breast Cancer: Clinical burden and unmet metastatic need
In 2022, female breast cancer was the second most prevalent cancer globally, with approximately 2.3 million new cases, representing 11.6% of all cancer diagnoses. Additionally, it ranked as the fourth leading cause of cancer-related mortality worldwide, resulting in 666,000 deaths, which accounted for 6.9% of all cancer fatalities [1, 2]. Global incidence is still climbing by ~3 % per year, driven largely by population aging and lifestyle shifts [3]. Mortality remains unequally distributed, with rates about 90% higher in low-resource regions such as Western Africa and the Caribbean compared to high income regions including North America, Western Europe, and Australia/New Zealand) [4]. While not all cancer cases are fatal, they substantially diminish quality of life and impose considerable economic burdens [5].
In the United States, the 5-year relative survival rate for women diagnosed with localized breast cancer is 98.9%. This rate decreases to 85.7% for regional breast cancer and drops further to just 28.1% for metastatic breast cancer [6]. Worldwide as well, women diagnosed de novo with stage IV disease still face 5-year survival rates below 30 % [7]. These survival statistics highlight the drastic impact of metastasis on disease outcome and the critical need for improved metastatic inhibitors for treatment in late-stage breast cancer therapy. For localized tumors, management with curative intent combines surgery, radiotherapy and increasingly tailored systemic therapy to eradicate the primary tumor and forestall metastatic spread [8], whereas treatment of metastatic breast cancer focuses on symptom palliation and extending survival through systemic drugs plus selective local measures [9]. In nearly all cases, metastatic breast cancer remains incurable in currently affected patients [10], underscoring the urgency of interventions that prevent or blunt the metastatic cascade.
A key contributor to distant metastasis is the degradation of the extracellular matrix (ECM), which facilitates cancer cell invasion, intravasation, and eventual colonization of distant organs [11, 12]. This process is driven by proteases secreted from tumor and stromal cells; proteases from several mechanistic classes cooperatively participate in ECM degradation and remodeling [13, 14]. In normal physiological processes such as wound healing and angiogenesis, proteolysis is precisely regulated by controlled activation and endogenous inhibitors, preserving tissue architecture [15–17], but this balance is progressively subverted during tumor progression [18]. Within the extracellular tumor microenvironment, the dynamic interplay between proteases, their substrates, and effectors orchestrates key pathological processes that drive cancer progression [14]. Among these enzymes, matrix metalloproteinases (MMPs) are frequently upregulated across malignancies and correlate with poor clinical outcome [19], including advanced stage, increased tumor cell invasion, and metastatic burden in breast cancer [20]. Because gelatinases MMP-2 and MMP-9 specifically cleave native collagen IV, the principal structural component of basement membranes, and can further degrade the denatured collagen fragments (“gelatin”) produced by initial proteolysis, they are implicated as key mediators of metastatic spread in breast cancer [21–23]. We next overview gelatinase structure and biochemistry, before turning to the roles of these enzymes in breast cancer progression.
Gelatinases in context: biochemistry, activation, and regulation
The MMPs are a family of zinc-dependent endopeptidases (23 in humans) that orchestrate ECM remodeling in physiological and pathological settings [24, 25]. These enzymes are traditionally classified into 6 broad groups based on substrate specificity and domain architecture, comprising collagenases (MMP-1, −8, −13), gelatinases (MMP-2, −9), stromelysins (MMP-3, −10, −11), matrilysins (MMP-7, −26), membrane-type (MMP-14, −15, −16, −17, −24, −25), and other, non-classified members. MMPs are multidomain enzymes, containing an N-terminal prodomain that maintains latency through the “cysteine switch” P-R-C-X-X-P-D motif [26], a catalytic domain coordinating the active site Zn2+ ion, and in most family members, a C-terminal hemopexin domain that modulates substrate binding, receptor interactions and inhibition [27, 28]. Most MMPs are secreted as inactive zymogens and require pericellular activation by serine proteases or other MMPs, while their activity is counter-balanced by endogenous tissue inhibitors of metalloproteinases (TIMPs) [25]. Within this framework, the two gelatinases stand out for their unusual collagen IV-directed activity, an attribute central to basement membrane breach during metastasis.
MMP-2 (gelatinase A) and MMP-9 (gelatinase B) share the core MMP scaffold and additionally possess three fibronectin type II repeats inserted into the catalytic domain (Figure 1), a module that confers high-affinity binding to denatured collagens and gelatins [29]. MMP-9 alone contains, in addition, a flexible, O-glycosylated domain (~ 64 amino acids) between the catalytic and hemopexin domains (Figure 1) [30]. Although most MMPs genes cluster on chromosome 11, MMP2 maps to 16q12.2 and MMP9 to 20q11.2, reflecting early evolutionary divergence [31]. Both enzymes cleave native type IV collagen, the principal structural component of basement membranes, and efficiently process the gelatin fragments generated by initial proteolysis, thereby driving progressive matrix degradation [32, 33].
Fig. 1. Gelatinase structure and domain organization.

(A) Human MMP-2 (gelatinase A) showing modular domain organization: signal peptide (S, light gray), prodomain (Pro, pink), catalytic domain (CAT, yellow), fibronectin type II–like repeats (F, red), zinc-binding site (Z, beige), and hemopexin-like domain (PEX, green). The crystal structure of soluble MMP-2 (PDB: 1CK7) illustrates the typical gelatinase architecture, with the CAT domain in yellow, the four-bladed PEX domain in shades of green, zinc ions shown in gray, and calcium ions in green. (B) Human MMP-9 (gelatinase B) with a similar domain organization but containing an additional O-glycosylated domain (OG, gold), which serves as a flexible linker of variable length connecting the CAT and PEX domains. The crystal structure of soluble MMP-9 (PDB: 1L6J) represents its characteristic architecture. Structures were rendered in PyMOL.
Physiologically, MMP-2 and MMP-9 contribute to ECM turnover during wound healing [34] and organogenesis [35]; their tightly controlled expression in these contexts contrasts sharply with the sustained over-production observed in breast tumors [21–23]. MMP-9 transcription is readily induced by proinflammatory cytokines (IL-1β, TNF-α), growth factors (EGF), and hypoxia via AP-1, NF-κB, and HIF-1α responsive elements in its promoters [36–38]. The MMP-9 promoter also has GC-rich Sp1/Ets motifs that can drive expression; for example in breast cancer cells, Ets-1 binding was found to contribute to MMP-9 upregulation and invasive potential [39]. The GC-rich promoter of MMP-2 lacks canonical NF-κB/AP-1 sites and is controlled chiefly by Sp1/Ets motifs; stimuli such as TGF-β or hypoxia up-regulate MMP-2 more indirectly through these elements [37, 38].
Both gelatinases are secreted as latent pro-enzymes: basal pro-MMP-2 (72 kDa) is released at low levels by most mesenchymal and epithelial cells and can be further up-regulated by TGF-β or oncogenic signaling, whereas pro-MMP-9 (92 kDa) is normally restricted to neutrophils, macrophages and other inflammatory cells but is strongly induced in tumor and stromal compartments [40, 41]. Pro-MMP-2 is activated at the cell surface by the membrane-type MMP-14 (MT1-MMP) in a trimolecular complex where TIMP-2 tethers the zymogen to the activator [42, 43]. Pro-MMP-9 can be activated by serine proteases such as trypsin or other MMPs such as MMP-3 [28, 44]. Activity is further regulated by endogenous inhibitors and binding partners. TIMP-1 preferentially inhibits MMP-9, whereas TIMP-2 shows higher affinity for MMP-2; imbalance of these inhibitors is common in breast cancer [45]. MMP-9 uniquely forms a stable complex with NGAL, which shields the enzyme from autodigestion and prolongs activity; the complex can be detected in serum and urine of breast cancer patients [46]. Conversely, both active gelatinases can be internalized for lysosomal degradation through the LRP-1 scavenger receptor [47–49], a clearance route frequently down-regulated in tumors [50].
These regulatory mechanisms enable precise deployment of MMP-2 and MMP-9 to support normal tissue repair, vascular remodeling, and resolution of inflammation. During cutaneous and mucosal wound healing, transient gelatinase induction coordinates controlled ECM turnover, promotes keratinocyte migration, and facilitates angiogenic sprouting required for granulation tissue [17, 34, 51]. In parallel, gelatinases process cytokines and chemokines, for example cleaving CCL2 and CXCL9/10/11 to generate truncated forms with reduced CCR2 or CXCR3 receptor signaling, which limits ongoing leukocyte recruitment and aids resolution of inflammation [52]. In genetic models, Mmp9 deficiency delays re-epithelialization and disrupts collagen fibrillogenesis, underscoring a non-redundant role in orderly wound repair [53]. These mechanisms also support host defense. During infection, MMP-9 expression by neutrophils facilitates their migration across endothelium and basement membrane barriers to sites of infection [54], gelatinase processing of chemokine CXCL8/IL-8 amplifies signaling activity ten-fold and enhances early neutrophil recruitment [55], while cleavage of CXCL9/10/11 promotes the resolution phase [52, 56]. These homeostatic activities highlight how gelatinase activity is normally time-limited and spatially restricted, in contrast to the sustained overproduction observed in tumor settings. Collectively, specialized domain architecture and multilayered regulatory mechanisms endow MMP-2 and MMP-9 with potent, yet finely tunable, capacity to degrade collagen and cleave other critical biological substrates—properties co-opted by breast tumors to breach basement membranes and remodel the metastatic niche (Figure 2).
Fig. 2. Multifaceted roles of gelatinases (MMP-2 and MMP-9) in breast cancer (BC) progression.

Gelatinases act at multiple stages of breast cancer biology. At the tumor front, MMP-2/−9 degrade extracellular matrix (ECM) and basement membrane (BM) components, promoting local invasion enabling cancer cells to penetrate surrounding stroma and intravasate into blood vessels, where they circulate as circulating tumor cells (CTCs). In the pre-metastatic niche, gelatinase activity remodels the ECM to facilitate recruitment of tumor-associated stromal and immune cells, priming distant organs for colonization. Gelatinases also contribute to dormancy escape by releasing matrix-sequestered growth factors that drive proliferative reactivation of disseminated tumor cells. In addition, MMP-2/−9 support angiogenesis and vasculogenic mimicry by reshaping vascular architecture and enabling tumor cell incorporation into vessel-like structures. Collectively, these processes are reinforced by a gelatinase–ECM crosstalk feedback loop that sustains proteolysis-driven tumor progression and metastatic dissemination. (Illustration created with BioRender.com).
Functional roles of gelatinases MMP-2 and MMP-9 in breast cancer progression
Breach of basement membrane and invasion
Many studies have demonstrated that gelatinase expression and activation of their latent forms are critical for ECM degradation and tumor invasion in breast cancer [22]. Immunohistochemistry first showed that “type IV collagenase” activity is present at the invasive edge of breast carcinomas but absent in ductal carcinoma in situ [23]. These enzymes were later identified as the gelatinases MMP-2 and MMP-9, whose preference for type IV collagen, the main structural scaffold of basement membrane, was defined biochemically with synthetic substrate libraries [32, 33]. Gelatinases also act on other basement-membrane components; for example, MMP-2 cleaves the laminin-332 γ2 chain, exposing a cryptic sequence that stimulates breast cancer cell motility [57]. Functional relevance of gelatinase-mediated invasion to metastasis has also been demonstrated in vivo; for example, silencing tumor cell MMP-9 in human triple-negative breast cancer cells greatly reduced invasion through Matrigel artificial basement membranes and blocked spontaneous metastasis in an orthotopic model [58]. Together, these studies establish a direct link between gelatinase activity, basement-membrane degradation, and the onset of invasive behavior.
Actin-based invadopodia focus the enzymes where they are needed; these matrix-degrading protrusions leverage a protease ensemble led by MMP-14 and the gelatinases [59]. Trafficking of pro-MMP-2 and pro-MMP-9 to the invadopodial membrane requires the small GTPase Rab40b, the loss of which dramatically reduces focal matrix degradation and invasion of breast cancer cells [60]. At the cell surface, active MMP-9 is positioned for pericellular proteolysis by the receptor CD44, promoting localized ECM degradation and tumor invasion [61, 62]. Cell surface MMP-9 also cooperates with activated integrin αvβ3 to drive directed migration of breast cancer cells [63]. The tumor microenvironment amplifies this program: breast fibroblasts signal through thrombospondin-1, and macrophages through TNF-α, to enhance tumor cell MMP-9 expression, thereby promoting invasion in co-culture models [64, 65]. Notably, collective invasion of groups of cells is increasingly recognized as a major route, wherein aggressive leader cells (tumor-derived cells, cancer-associated fibroblasts, or tumor-associated macrophages) clear a path through ECM and create tracks for followers [66]. Gelatinases also play a key role here, as demonstrated by the upregulation of MMP-9 in mesenchymal leader cells at the invasive front [67]. In human breast cancers, MMP-2 was observed to be specifically expressed by fibroblasts in close contact with pre-invasive tumor clusters [68]. These converging mechanisms—subcellular membrane targeting, receptor tethering, and stromal induction—underscore the central role of gelatinases in breaching basement membrane and driving local invasion in breast cancer.
Dissemination, colonization, and escape from dormancy
Before tumor cells leave the breast, distant tissues can be primed by host-derived gelatinases to receive them. In an early seminal study, subcutaneous tumors in mice provoked the VEGFR-1–driven upregulation of MMP-9 in lung endothelial cells and macrophages; genetic deletion of either the VEGFR-1 kinase domain or Mmp9 itself significantly reduced lung infiltration and colonization of tail vein-injected tumor cells [69]. Similar lung protection was seen in the immunocompetent MMTV-PyMT mouse mammary tumor model, where germ-line Mmp9 knockout or systemic administration of a gelatinase-neutralizing antibody lowered early lung foci and circulating tumor cell seeding [70]. MMP-2 plays a complementary role: lung fibroblast-derived MMP-2 activates latent TGF-β1, driving fibroblast activation and collagen deposition; loss of stromal MMP-2 substantially curtailed proliferative expansion of breast cancer metastatic foci in an experimental metastasis model [71]. Analogously, in bone, osteoblast-secreted MMP-2 liberated active TGF-β, supporting breast cancer cell survival and osteolysis; bones from Mmp2-null mice showed greater tumor cell apoptosis and smaller lesions [72].
Beyond matrix remodeling, gelatinase activity shapes a permissive immune microenvironment that aids colonization and early outgrowth. First, gelatinase-released TGF-β is potently immunosuppressive, dampening anti-tumor immunity by promoting regulatory T cells (Tregs), suppressing CD8+ cytotoxic T-cell (CTL) effector programs, and inhibiting dendritic-cell activation. It also activates fibroblasts and desmoplasia, which can physically impede T-cell entry into metastatic niches. In breast cancer models, MMP-2 activates latent TGF-β1 in lung and bone niches [71, 72], and tumor cell surface MMP-9, tethered by CD44, can also activate latent TGF-β in the pericellular space [61]. Second, MMP-9 can reduce T-cell trafficking by cleaving and inactivating the CXCR3-binding chemokines CXCL9/10/11, which are the signals that recruit anti-tumor CD8+ cytotoxic T lymphocytes (CTLs) and their activating CD4+ Th1 helper T cells. In a HER2-driven orthotopic model, an anti-MMP-9 antibody preserved intratumoral CXCL10 and Th1-type cytokine signals, which in turn increased effector-memory CD4+ and CD8+ T cells, while combination with anti-PD-L1 further amplified these effects, inhibiting tumor growth [73]. Consistent with this trafficking mechanism, MMP-9 inhibition in PyMT tumors increased intratumoral CD8+ T-cell infiltration and activation [70].
Tumor cells themselves can reinforce this program. In an orthotopic tumor model, lentiviral knockdown of MMP-9 in triple-negative MDA-MB-231 cells eliminated spontaneous metastasis to lung, despite only a modest reduction in primary-tumor size [58]. Forced expression of MMP-2 in MDA-MB-231 cells enhanced systemic colonization of brain, bone, liver, and kidney after intracardiac injection [74]. Furthermore, functional selection of lung-tropic MDA-MB-231 sublines to identify genes responsible for lung metastasis identified MMP-2 as one of four lung-metastatic virulence genes, upregulated exclusively in the most aggressive sublines [75]. MMP-2 was also one of 54 genes in a lung metastasis gene signature that predicted poor lung metastasis-free survival in independent patient cohorts [75]. Collectively, both host- and tumor-derived gelatinases facilitate successful arrival and early outgrowth of disseminated cells by remodeling extracellular matrices, activating TGF-β, and damping antitumor immunity.
Gelatinases also govern whether dormant micrometastases remain silent or resume growth. In mouse lungs harboring quiescent breast cancer cells, chronic inflammation can induce neutrophil influx and formation of neutrophil extracellular traps (NETs). These NETs serve as a scaffolding to facilitate sequential cleavage of laminin by neutrophil elastase and MMP-9, unveiling an integrin-α3β1 binding site that forces dormant tumor cells to awaken and proliferate [76]. This study showed that blocking NET formation, inhibiting MMP-9 activity, or neutralizing the laminin neoepitope revealed by MMP-9 cleavage prevented tumor cell awakening [76]. In a three-dimensional model in which serum-withdrawal was used to induce breast cancer cell dormancy, cells survived extended dormancy by assembling a fibrillar fibronectin matrix via αvβ3 and α5β1 integrin adhesion [77]. MMP-2 and MMP-9 were highly upregulated during growth recovery, while regrowth in response to serum-stimulation was reduced by a pan-MMP inhibitor, suggesting that the observed degradation of fibronectin by gelatinases is an important step during dormant tumor cell reactivation and outgrowth [77]. These studies place gelatinases at both ends of the metastatic timeline—preparing distant niches for colonization and later dismantling dormancy barriers to permit overt relapse.
Angiogenesis and vasculogenic mimicry
In diverse models of multiple cancers, catalytically active MMP-9, especially that secreted by neutrophils in the tumor microenvironment, has been repeatedly demonstrated to be a key driver of tumor angiogenesis, by liberating sequestered VEGF and other angiogenic factors from the ECM [78–80]. In breast cancer, several orthogonal approaches converge on the same conclusion. In a transgenic model, stromal Mmp9 deficiency reduced CD31+ vessel density in primary tumors, consistent with a requirement for host-derived MMP-9 to support neovascularization [81]. Direct suppression of MMP-9 in PyMT tumors using an anti-MMP-9 DNAzyme lowered microvessel density and diminished VEGF bioavailability, linking MMP-9 proteolysis to growth factor release in vivo [82]. Tumor-cell MMP-9 also contributes knockdown in triple-negative MDA-MB-231 xenografts produced a marked reduction in endothelial-lined vessels and disrupted vascular morphology [58]. Secreted, catalytically active MMP-9 can increase angiogenic signaling, as shown by enhanced VEGF-VEGFR2 complex formation and greater capillary density when wild-type (soluble) MMP-9 was expressed in breast cancer xenografts [83]. Complementing this, cell-surface localization of MMP-9 to CD44 on mammary carcinoma cells was sufficient to restore angiogenesis in vivo and to activate latent TGF-β in co-culture and tumor lysates, demonstrating a pericellular route by which MMP-9 can promote neovascularization in breast cancer [61]. Taken together, these studies support complementary modes of action—diffusible MMP-9 from both stromal and tumor compartments that liberates matrix-bound VEGF and tethered MMP-9 that activates TGF-β in the immediate pericellular space—both of which favor angiogenesis in breast tumors.
A supporting role for MMP-2 in breast tumor angiogenesis also emerges in specific contexts. Endothelial αvβ3 integrin recruits MMP-2 via its hemopexin (PEX) domain, while a purified PEX fragment that disrupts this interaction blocked collagenolysis and suppressed angiogenesis in chick embryos and a melanoma model in vivo [84]. The relevance of MMP-2 to breast cancer angiogenesis is supported by human breast specimens, where tumor cell MMP-2 immunoreactivity correlates with a higher fraction of small caliber microvessels, consistent with a role in early capillary formation [85]. Mechanistically, inhibiting MMP-14, the principal cell-surface activator of pro-MMP-2, prevents proMMP-2 processing and diminishes VEGF-driven endothelial invasion and tumor angiogenesis, underscoring the MMP-14/MMP-2 axis as an amplifier of pericellular proteolysis during neovessel formation and endothelial invasion [86].
Vasculogenic mimicry refers to the ability of aggressive cancer cells to organize into perfusable, endothelial-like channels independent of host endothelium, providing an alternative route for blood supply to feed tumor growth. Under hypoxia, HIF-1/2 signaling upregulates VE-cadherin, EphA2, and matrix metalloproteinases—particularly MMP-14, MMP-2, and MMP-9—which cooperate to sculpt pericellular matrix into patterned conduits. In this cascade, MMP-14 activates pro-MMP-2, and active MMP-2 cleaves laminin-332 γ2 to generate promigratory fragments, while MMP-9 further remodels matrix and increases VEGF availability [87]. In triple-negative breast cancer, CD133+ stem-like subclones express VE-cadherin and high levels of MMP-2/-9 and form capillary-like networks on Matrigel, a hallmark of vasculogenic mimicry in vitro [88]. Clinically, breast tumors that exhibit vasculogenic mimicry often co-express endothelial markers with elevated gelatinases and are associated with worse outcomes and resistance to anti-angiogenic therapy [89]. These observations position MMP-2 and MMP-9 as key effectors of vasculogenic mimicry in breast cancer, complementing their established roles in endothelial cell-driven angiogenesis.
Gelatinase-ECM crosstalk in the tumor microenvironment
Matrix mechanics regulate gelatinase expression and function in breast cancer models, and gelatinase activity in turn modulates matrix deposition and characteristics. In three-dimensional collagen, high-density (stiffer) gels amplified prolactin-ERK signaling of breast cancer cells to increase MMP-2 and MMP-9 expression and the level of active MMP-2 in conditioned medium, leading to increased invasiveness that could be suppressed by MMP inhibition [90]. Similarly, MDA-MB-231 cells cultured on substrates of increasing stiffness responded by increasing gelatinase activity, while MMP inhibition reduced cell spreading, lowered FAK phosphorylation, and weakened integrin-based adhesions, consistent with a mechanotransduction pathway linking rigid extracellular matrix to integrin-FAK signaling and gelatinase-driven invasion [91]. Gelatinase activity then feeds back onto the matrix to promote desmoplasia. In metastatic lung niches, stromal fibroblast MMP-2 activated latent TGF-β1, induced myofibroblast differentiation, and increased collagen I/IV and fibronectin synthesis; reducing MMP-2 or neutralizing TGF-β1 diminished these effects, whereas exogenous TGF-β1 restored them [71]. Fibroblast-derived MMP-9 similarly increased active TGF-β1, enhanced Smad3 signaling, and drove collagen gel contraction and fibronectin expression; loss or inhibition of MMP-9 reduced these responses, and reintroduction of MMP-9 rescued them [92]. Together, these studies support a positive feedback mechanism in which matrix stiffening elevates gelatinase output, and gelatinase-dependent activation of TGF-β further increases stromal matrix deposition and tissue stiffness.
Gelatinase cleavage of basement membrane and interstitial matrices also generate bioactive fragments that reinforce malignant behavior. MMP-2 cleavage of laminin-332 at the γ2 chain exposes a cryptic site that promotes epithelial migration, with the cleaved laminin-332 detected in remodeling breast tissue and tumors [57]. During mammary tissue remodeling, MMP-dependent processing of laminin-332 releases an EGF-like γ2 fragment that binds the EGF receptor, activates MAPK signaling, increases MMP-2 expression, and enhances migration [93]. In breast cancer dormancy models, NET-associated neutrophil elastase and MMP-9 can sequentially cleave laminin-111 to reveal an integrin α3β1-binding epitope that activates FAK, Src, MYLK, and YAP signaling and induces dormant cells to resume proliferation, whereas neutralizing the neoepitope or degrading the NETs prevents reactivation [76]. In the interstitial matrix, MMP-9-derived fibronectin fragments bind integrin αvβ6, amplify FAK, Src, and ERK as well as PI3K/Akt and Smad pathways, and increase migration and invasion in breast carcinoma models [94]. Collectively, these examples illustrate reciprocal exchange: ECM stiffness and architecture regulate gelatinase production and activity, and gelatinase proteolysis reshapes matrix structure and generates signaling cues that promote invasion, fibrosis, and metastatic outgrowth.
Beyond ECM remodeling activities, gelatinases can cleave select cell-surface receptors and adhesion molecules, thereby modulating key signaling pathways. For example, MMP-2 cleaves the FGFR1 ectodomain, releasing a soluble receptor fragment that retains ligand-binding capacity and can dampen FGF-2 signaling, adding an additional dimension to protease–matrix crosstalk [95, 96]. Similar receptor-shedding events have been reported for various cadherins and integrins, indicating the potential for gelatinases to influence not only ECM turnover but also receptor availability and downstream signaling. For MMP-9, most evidence points to indirect modulation of receptor tyrosine kinase signaling, for example through crosstalk with Neu1 sialidase to activate signaling ligands of receptor tyrosine kinases such as TrkA and EGFR, linking gelatinase activity to receptor transactivation and biased signaling [97, 98]. In breast cancer, where growth-factor pathways interface tightly with the ECM, these mechanisms likely interact with the ECM processing roles of gelatinases in a context-dependent manner, although definitive data elucidating the consequences in breast cancer models remain limited.
Clinical correlates and biomarker evidence for gelatinase activity in breast cancer
Across clinical studies, elevated gelatinase expression or activity generally associates with more aggressive breast cancer biology. Expression of MMP-2 and MMP-9 in breast tumors is associated with malignant vs. benign tumors [99] and with higher stage or grade, lymphatic metastasis, and poorer overall or progression-free survival [100–102].
MMP-2 (gelatinase A)
Multiple tissue studies and meta-analyses report that higher tumor MMP-2 correlates with worse prognosis [103]. In immunohistochemical and in situ hybridization analyses, MMP-2 is detected in primary breast carcinomas and associates with adverse clinicopathologic features [68, 102]. A study on a large series of poor-prognosis hormone receptor-negative patients revealed a prognostic role for MMP-2 in breast carcinoma [104]. Other studies demonstrated a correlation between expression level of MMP-2 and poorer overall or recurrence-free survival; in one study, the first 10 years of follow-up showed that MMP-2 positivity was associated with an elevated risk of death (1.8-fold higher) [102, 105]. A systematic meta-analysis concluded that MMP-2 could be a prognostic biomarker in breast cancer, and more recent pooled analyses similarly associated tumor MMP-2 overexpression with poorer outcomes, while lower MMP-2 mRNA relates to better overall survival [21, 106].
MMP-9 (gelatinase B)
Concordant observations implicate MMP-9 as an adverse marker in breast cancer [45]. Transcriptional microarray data have shown MMP-9 gene expression to be consistently prognostic for poor survival in numerous large cohorts of breast cancer patients [107, 108]. Moreover, MMP-9 is part of the Rosetta poor-prognosis signature for breast cancer [109]. Tissue microarray and immunohistochemical studies of primary breast tumors have revealed that total MMP-9 staining and specific detection in mononuclear inflammatory cells, stromal fibroblasts, and tumor cells were each associated with poorer relapse-free survival, distant metastasis, and shorter survival [110–113]. Systemic measurements echo these patterns: serum levels of MMP-9 and its endogenous inhibitor TIMP-1 were significantly higher in breast cancer than in benign breast disease or healthy control subjects [114]. The MMP-9/NGAL complex that stabilizes and prolongs MMP-9 activity was detected in 87% of urine samples from breast cancer patients, though rare in healthy controls [46], and elevated serum levels of NGAL, MMP-9, and their complex were associated with disease severity [115]. Conversely, despite the prognostic impact of plasma MMP-9 and TIMP-1 when measured individually in other studies, the inhibited complex was not associated with prognosis in a cohort of breast cancer patients [116], consistent with the idea that catalytically active, TIMP-free MMP-9 is most relevant pathologically in breast cancer progression [78].
Assay considerations and clinical implications
Reported effect sizes and significance vary across studies with assay platform (protein or transcript), sample source (tumor/stroma or circulation), and antibody/epitope differences, which should temper cross-study comparisons. Nevertheless, the aggregate evidence supports a consistent message: higher levels of MMP-2 and MMP-9, particularly when localized to tumor or stromal compartments, associate with greater risk of recurrence and death. These clinical associations align with the mechanistic roles summarized earlier, including basement membrane breach, growth factor mobilization, priming metastatic sites, and immune evasion (Figure 2); together, they provide a rationale for evaluating gelatinase-focused diagnostics and therapeutics in breast cancer.
Direct inhibition of gelatinases: small-molecule strategies
First-generation, broad-spectrum hydroxamates: lessons from breast cancer trials
The development of small molecule inhibitors targeting MMPs began in the 1990s, driven by the recognition that MMPs, including the gelatinases MMP-2 and MMP-9, were key mediators of extracellular matrix degradation, angiogenesis, and tumor invasion (Table 1) [117]. First-generation inhibitors such as batimastat (BB-94) and marimastat (BB-2516) were designed as hydroxamate-containing compounds that chelated the catalytic zinc ion common to all MMPs, and showed initial promise in preclinical tumor models [118]. However, broad inhibition of all MMPs disrupted physiological tissue remodeling and immune regulation, leading to adverse events like musculoskeletal pain and inflammation, particularly in long-term treatments, exposing the central problem of poor selectivity [119]. Clinical experience in breast cancer confirmed the limitation: despite strong biologic rationale for suppressing tumor invasion, angiogenesis, and metastasis, broad-spectrum MMP inhibitors did not improve outcomes and were often associated with dose-limiting toxicities, including musculoskeletal side effects [120].
Table 1.
Direct gelatinase inhibitors in breast cancer: clinical-stage agents, selective chemotypes, and preclinical leads
| Inhibitor | Class / chemotype | Primary gelatinase target(s) (Ki/IC50) | Selectivity notes | Breast cancer model / key finding | Clinical status | Ref. |
|---|---|---|---|---|---|---|
| A. Classical broad-spectrum hydroxamates (pan-MMP active-site chelators) | ||||||
| Batimastat (BB-94) | First-generation hydroxamate; broad-spectrum MMP inhibitor | Multiple MMPs incl. MMP-2/−9 (low-nM enzymatic) | Non-selective; intraperitoneal/poor oral bioavailability | preclinical anti-metastatic activity but limited clinical development | Not advanced in breast cancer | [117, 118] |
| Marimastat (BB-2516) | Oral hydroxamate; broad-spectrum MMP inhibitor | Multiple MMPs incl. MMP-2/−9 | Non-selective; dose-limiting musculoskeletal toxicity (arthralgia/tendonitis) | No improvement in PFS/OS as maintenance after first-line chemotherapy in metastatic breast cancer (ECOG E2196) | Phase III negative in metastatic breast cancer | [118, 121–124] |
| BAY 12–9566 (tanomastat) | Oral biphenyl inhibitor; preferential for MMP-2 | MMP-2 (Ki≈11 nM) ≫ MMP-9 (Ki≈301 nM) | Improved vs hydroxamates but still multi-MMP activity | Reduced regrowth and lung metastases post-resection in xenografts; no objective responses in Phase I (advanced solid tumors incl. breast) | Program terminated after negative Phase III in SCLC; no further breast cancer trials | [125–127] |
| Prinomastat (AG3340) | Non-peptidic hydroxamate; designed for MMP-2/−9 | MMP-2/−9 (nanomolar enzymatic) | Broader MMP inhibition; musculoskeletal toxicity in other indications | Suppressed tumor growth (~50%) in MDA-MB-435 xenografts; paradoxical migration effects in short-term cell assays | No breast cancer trials; development discontinued | [80, 128, 129] |
| Rebimastat (BMS-275291) | Second-generation oral MMPI (reduced collagen-mimic features) | Broad MMP panel incl. MMP-2/−9 | Still non-selective; class-typical musculoskeletal toxicity | Preclinical anti-angiogenic/anti-metastatic activity; adjuvant feasibility study in early breast cancer terminated early for toxicity | Phase II feasibility negative (early breast cancer) | [130, 131] |
| B. Gelatinase-selective, mechanism-based small molecules | ||||||
| SB-3CT (and analogs) | Mechanism-based thiirane; time-dependent inhibition | MMP-2/−9 (selective vs many MMPs) | Prefers gelatinases via transition-state stabilization; spares many non-gelatinase MMPs | Anti-angiogenic/anti-metastatic in non-breast models; reduced PD-L1 and enhanced checkpoint efficacy in syngeneic tumors | Preclinical; no breast cancer trials | [134, 136] |
| ND-322 (water-soluble prodrug) | SB-3CT-based prodrug with improved PK | MMP-2 ≈ MMP-14 ≫ MMP-9 (context-dependent) | Enhanced metabolic stability; retains gelatinase bias | Reduced tumor growth/invasion in melanoma models; rationale for breast cancer testing | Preclinical | [137, 138] |
| JNJ-0966 | Allosteric inhibitor of pro-MMP-9 activation | MMP-9 (zymogen activation step) | Isoform-selective; does not block catalytic site or other MMPs | Efficacy in inflammation/neuro models; conceptually attractive where activated MMP-9 drives pathology | Preclinical (non-oncology) | [139] |
| AZD-1236 | Dual MMP-9/−12 small molecule inhibitor | MMP-9 and MMP-12 | Designed for airway disease; off-target sparing vs pan-MMPs | Biomarker modulation in COPD; potential repurposing where MMP-9 dominates | Clinical (non-oncology) | [140] |
| C. Medicinal-chemistry leads and natural-product scaffolds with preclinical potential | ||||||
| Arylamide series (hemopexin-domain binders) | Non-catalytic site binders to MMP-9 Hpx domain | MMP-9 (EC50 ≈125–139 μM in 4T1 cells) | Conceptually selective for MMP-9 domain; modest cellular potency | Suppressed gelatinase activity in 4T1 breast cancer cells | Preclinical (cellular) | [141] |
| Ugi bis-amide non-hydroxamates (e.g., 8, 11, 28) | Non-zinc-binding MMP-9 inhibitors | MMP-9 (IC50 ≈3.6–7.5 nM) | Selectivity over other MMPs reported in vitro | Potent enzymatic and MCF-7 anti-migration activity; no in vivo breast data | Preclinical (enzymatic/cellular) | [142] |
| Star-shaped triazine dendrimer 8a | Zinc-binding multivalent dendrimer | MMP-9 (cell-based IC50 ≈3.8 nM); ~4× vs MMP-2 | Direct active-site binding; improved MMP-9 preference | Inhibited MMP-9 in MDA-MB-231; reduced VEGF expression | Preclinical (cellular) | [143] |
| Sanguinarine | Natural alkaloid; active-site binder (docking/MD) | MMP-9 (IC50 ≈19 μM) | Limited data vs MMP-2/other MMPs | Reduced MMP-9 activity/expression in TNBC (MDA-MB-468) | Preclinical (cellular/biochemical) | [150] |
| Hinokiflavone | Natural biflavonoid | MMP-9 (IC50 ≈43 μM; MCF-7) | Not fully profiled | In silico selection; reduced MMP-9 and cell viability | Preclinical (cellular/biochemical) | [151] |
| Green tea extract (catechin-rich) | Polyphenol mixture; zinc-chelating activity | MMP-2/−9 (~50% inhibition at 10 μg/mL; enzyme assays) | Non-selective mixture; high concentrations required | Direct enzyme inhibition; limited mechanistic specificity | Preclinical (biochemical) | [149] |
| In silico (Lig-1; L1) | Virtual-screen/4D-QSAR leads | Predicted high-affinity MMP-9 binders | Computational; needs empirical validation | Strong docking/MD stability; no breast cancer data | Discovery (computational) | [145, 146] |
Abbreviations: MMP, matrix metalloproteinase; Hpx, hemopexin domain; PK, pharmacokinetics; SCLC, small-cell lung cancer; PFS, progression-free survival; OS, overall survival; TNBC, triple-negative breast cancer.
The most informative dataset comes from marimastat, an orally bioavailable broad-spectrum MMP inhibitor that effectively suppressed metastasis in breast and lung cancer models [121]. In a randomized Phase III trial in metastatic breast cancer (ECOG E2196), marimastat was evaluated in 179 patients with stable or responding disease following first-line chemotherapy [122]. Marimastat treatment did not extend progression-free survival (PFS) or overall survival (OS) versus placebo and was associated with a higher incidence of musculoskeletal toxicity. Notably, patients who developed grade 2–3 toxicity had significantly worse survival outcomes, and higher plasma levels of marimastat correlated with toxicity but not efficacy [122]. Earlier phase studies also highlighted a narrow therapeutic window and dose-dependent inflammatory polyarthritis [123, 124].
Experience with other early broad-spectrum MMP inhibitors was concordant. Tanomastat (BAY 12–9566) suppressed tumor growth and metastasis in breast cancer xenograft models [125]. It was generally well tolerated and reached target plasma levels in Phase I studies that included breast cancer patients, but no objective tumor responses were observed; the program was discontinued following a negative phase III study in another indication [126, 127]. Prinomastat (AG3340) suppressed growth in a breast cancer xenograft model [128], but did not reach clinical trials in breast cancer, and was ultimately discontinued due to lack of efficacy and high toxicity observed in other settings [129]. Rebimastat (BMS-275291) showed anti-tumor activity in preclinical breast cancer models [130], yet failed a Phase II feasibility trial as prolonged adjuvant therapy in early-stage breast cancer due to musculoskeletal toxicity and early discontinuations, with no survival readouts collected [131]. Collectively, these results argue that poorly selective MMP inhibitors designed to exploit potent zinc chelation moieties are unlikely to succeed in breast cancer, motivating the selective, mechanism-based strategies developed subsequently.
Gelatinase-selective, mechanism-based chemotypes
The early clinical failures with broad, zinc-chelating MMP inhibitors prompted a shift in focus toward selectivity and structural precision. The shortcomings of pan-MMP inhibition revealed the need for inhibitors that could distinguish between individual MMPs, especially those with tumor-promoting roles like MMP-2 and MMP-9, versus those with homeostatic or anti-tumorigenic functions [132]. Building on structure-guided design, fragment screening, and insights into noncatalytic MMP substrate-binding domains (including hemopexin and fibronectin repeats), second-generation chemotypes emerged that could offer therapeutic efficacy with reduced off-target effects (Table 1) [133]. For example, later-generation inhibitors SB-3CT, ND-322, JNJ-0966, and AZD-1236 represent distinct chemical scaffolds and mechanisms designed to selectively engage gelatinases or to block their activation rather than broadly chelating zinc.
Mechanism-based thiirane inhibitors represented a conceptual break from simple zinc chelation by requiring catalytic engagement to form a long-lived inhibitory complex with gelatinases. SB-3CT is a thiirane inhibitor that selectively targets gelatinases [134], and has demonstrated significant anti-metastatic and anti-angiogenic activity in vivo [135]. Notably, the combination of SB-3CT with immune checkpoint blockade enhanced antitumor immune response in murine models of several cancers, consistent with the immune-modulatory effects linked to MMP-9 activity [136]. ND-322 is an orally bioavailable derivative of SB-3CT, developed to improve metabolic stability and pharmacokinetics while retaining selective inhibition of MMP-2 and MMP-9 [137]. It has been tested in melanoma models where it showed potent anti-invasive and anti-tumor effects, supporting the translational premise of catalysis-dependent, gelatinase-selective inhibition [138]. Although direct breast cancer data remain limited for these agents, their mechanism aligns with the gelatinase-driven biology described in earlier sections.
A complementary strategy is to prevent zymogen activation rather than inhibit the catalytic site. JNJ-0966 targets the activation of pro-MMP-9 rather than inhibiting the catalytic domain, binding an allosteric pocket in the pro-domain to prevent MMP-9 activation without affecting other MMP family members, thereby minimizing liabilities of pan-MMP inhibition [139]. AZD-1236, developed primarily for inflammatory lung disease, is a small-molecule inhibitor that achieves dual selectivity for MMP-9 and MMP-12 through careful scaffold design and side-chain chemistry. It has advanced to early-phase clinical trials and demonstrates the feasibility of achieving MMP-9-biased pharmacology with an acceptable safety profile in non-oncology settings [140]. Thus, JNJ-0966 exemplifies allosteric blockade by preventing zymogen activation, while AZD-1236 illustrates how rationally designed zinc-binding scaffolds can achieve greater isoform selectivity while reducing the off-target toxicities that limited less selective inhibitors. In parallel, mechanism-based thiiranes such as SB-3CT and ND-322 demonstrate the feasibility of mechanism-dependent trapping of MMP-2 and MMP-9 in vivo. Together, these approaches define an emerging playbook for direct gelatinase inhibition, spanning catalytic trapping, activation blockade, and selective zinc-binding design, and support further testing in breast cancer contexts where MMP-9 drives angiogenesis, immune exclusion, and metastatic fitness.
Medicinal-chemistry leads and natural-product scaffolds with preclinical potential
Medicinal chemistry programs have explored alternative binding modes and non-hydroxamate scaffolds to improve selectivity for gelatinases and to avoid broad zinc chelation (Table 1). One line of work targets noncatalytic domains: a series of aryl-amide derivatives incorporating heterocyclic moieties were designed as selective inhibitors targeting the hemopexin domain of MMP-9 [141]. These molecules effectively suppressed MMP-9 activity in the 4T1 breast cancer cell line, albeit at high micromolar effective concentrations (EC50 ~ 125–139 μM), underscoring an early proof-of-concept with substantial room for potency optimization [141]. A complementary approach uses non-hydroxamate chemotypes to engage the catalytic domain with greater isoform discrimination. Using an Ugi multicomponent strategy, bis-amide scaffolds were reported with dual activity against MMP-9 and AKT in the single-digit nanomolar range and excellent selectivity over closely related MMP isoforms [142]. These compounds displayed both cytotoxicity and inhibition of migration in breast cancer cell models. While attractive as non-hydroxamate leads, these bis-amides require further studies to disentangle their polypharmacology and to establish in vivo selectivity, pharmacokinetics, and efficacy.
Other chemical architectures attempt to recover selectivity while retaining zinc coordination. For example, star-shaped triazine-based dendrimers bearing terminal carboxylic acid groups as potential zinc-binding moieties were developed as direct inhibitors of MMP-9 [143]. However, the low nanomolar cytotoxicity of these compounds, far below the concentrations required for MMP inhibition, raises concern that the observed biological effects reflect off-target activities rather than specific gelatinase inhibition. Dendrimeric scaffolds may therefore be viewed as concept-generating, illustrating a design space in which classical zinc binding can be paired with topological features to improve isoform bias, rather than validated MMP-9-directed chemotypes at this stage. Additional early-stage concepts include novel potential MMP-9 inhibitors that demonstrate efficient docking scores, offering promising scaffolds for future therapeutic development [144]. For example, a virtual screen based on an MMP-9 E-pharmacophore model identified candidate inhibitors with predicted MMP-9 preference [145], while a separate 4D-QSAR approach predicted β-N-biaryl ether sulfonamide hydroxamate derivatives as potential high-affinity MMP-9 inhibitors [146]. At present, these remain rational starting points for lead optimization and in vivo evaluation rather than validated chemotypes.
Natural products and phytochemical scaffolds, with their long-standing relevance in cancer pharmacology [147, 148], provide another source of candidate gelatinase inhibitors. Among several dietary antioxidants, green tea extract showed the strongest direct inhibition by zymography of both MMP-2 and MMP-9 enzymatic activities, likely due to its potent zinc-chelating ability [149], although the concentrations required were high. Curcumin inhibited MMP-2 at high concentrations but had minimal effect on MMP-9, while resveratrol and olive extract were weaker still [149]. Several additional purified natural products demonstrate clearer mechanistic specificity: sanguinarine, a benzophenanthridine alkaloid derived from bloodroot, inhibited the activity of recombinant human MMP-9 with an IC50 of 19 μM, with predicted binding at the active site, and decreased both the activity and expression of MMP-9 in triple-negative breast cancer cells [150]. Hinokiflavone, a biflavonoid derived from Juniperus communis identified through a ligand-based pharmacophore screen, inhibited MMP-9 in MCF-7 breast cancer cells with an IC₅₀ of 43 μM [151]. Although modest in potency compared to synthetic leads, these examples illustrate how natural scaffolds can serve as starting points for medicinal-chemistry optimization.
Together, current small molecule efforts reflect a pivot from broad zinc chelation toward selective engagement of MMP-2/−9. The most persuasive evidence comes from mechanism based thiiranes and prevention of pro-MMP-9 activation; in contrast, many other medicinal chemistry leads and natural product scaffolds remain early stage, with modest potency, incomplete selectivity profiling, and limited in vivo validation. Given the clinical history with nonselective hydroxamates, credible progress will require clear on-target pharmacodynamic readouts in breast cancer models, acceptable exposure and tolerability, and demonstration of benefit—likely in rational combinations. With these criteria in mind, we next consider protein-based strategies that offer inherently higher selectivity with a different risk-benefit profile.
Direct inhibition of gelatinases: protein-based strategies
Therapeutic antibodies: preclinical mechanisms and early clinical experience
Over the last three decades, therapeutic antibodies have altered the targeted cancer therapy landscape and monoclonal antibodies represent rising class of targeted anticancer agents that improve natural immune system functions to restrain cancer cell activity and eradicate cancer cells [152]. By binding a single protease with epitope-level precision, anti-gelatinase antibodies aim to neutralize MMP-9 (or MMP-2) without the cross-family zinc chelation that produced dose-limiting toxicity with early small molecules. In immunocompetent mouse models of HER2-driven breast cancer, a mouse-specific anti-MMP-9 monoclonal antibody, a preclinical surrogate to the humanized antibody andecaliximab (GS-5745) [153], achieved selective MMP-9 blockade and reduced tumor growth [73]. Mechanistically, MMP-9 inhibition improved T-cell trafficking by preserving the function of CXCR3 ligands (CXCL9, CXCL10, CXCL11), reduced fibrillar collagen, and enhanced effector/memory CD4+ and CD8+ T-cell infiltration. Notably, combination with anti-PD-L1 further augmented antitumor immunity [73], suggesting that selective MMP-9 inhibition may significantly improve the effectiveness of immune checkpoint blockade therapies. Importantly, selective MMP-9 inhibition was shown to avoid the musculoskeletal syndrome typical of pan-MMP inhibitors in preclinical safety studies [153].
Andecaliximab has been clinically evaluated across solid tumors. In a phase I trial (NCT01803282) in patients with advanced solid tumors including breast cancer, recommended dosing was established, confirming target engagement and favorable safety [154]. An expansion cohort in gastric/gastroesophageal junction adenocarcinoma demonstrated encouraging efficacy with a ~50% objective response rate [154]. A subsequent Phase III trial in gastric and gastroesophageal junction adenocarcinoma was negative for PFS/OS improvement, highlighting the importance of disease context and combinations [155]. In breast cancer, a phase I study combining andecaliximab with paclitaxel in patients with previously treated metastatic disease showed reported feasibility and acceptable safety, with signals of activity [156], although no breast cancer data from randomized trials are yet available. Considering the role of MMP-9 in immune suppression, a concept already supported preclinically and under exploration clinically in other tumor settings, MMP-9 inhibition may warrant exploration of combinations with immune checkpoint blockade therapies in breast cancer patients [73].
Compared with early broad-spectrum, zinc-chelating inhibitors, more selective gelatinase-directed agents like andecaliximab and MMP-9-biased small molecule AZD-1236 have shown more favorable tolerability, suggesting the potential for a wider therapeutic window [140, 154]. At the same time, because MMP-2 and MMP-9 contribute to wound repair, vascular remodeling, and aspects of host defense as described earlier, sustained systemic inhibition could carry on-target risks such as delayed wound closure or altered inflammatory responses [51, 53, 157], so peri-operative timing and prospective safety monitoring are important considerations in translational studies. Combination regimens raise two further considerations: potential additive effects on vascular remodeling with anti-angiogenic drugs that could heighten wound-healing risk [158], and a mechanistic rationale for complementarity with immune checkpoint blockade (preservation of CXCR3-ligand chemokines and enhanced T-cell trafficking) [56, 73, 159] that, in principle, could also intensify the immune-mediated toxicities typical of checkpoint therapy. These considerations frame the context for advancing antibody and other engineered-protein strategies discussed next.
Single-domain antibody (“nanobody”) inhibitors provide a complementary format of biologics, offering high specificity, stability, and tissue penetration, making them a promising strategy for selective gelatinase inhibition in cancer therapy [160]. A panel of highly selective nanobodies targeting human MMP-2 has been described, offering potential therapeutic or imaging agents; translation to breast cancer models remains to be shown [161]. Given their short half-life, engineering for half-life extension, such as albumin- or Fc-fusion, may be a consideration for systemic therapy. Beyond antibody-derived constructs, we next turn to compact protein and peptide scaffolds engineered for gelatinase selectivity.
Other protein and peptide scaffolds: engineered TIMPs and peptide inhibitors
Beyond antibodies, small proteins and peptides can be engineered to engage gelatinases with domain-level selectivity. Several peptide-based inhibitors have been developed targeting MMP-2 and MMP-9. For example, hydroxamate-modified peptides were designed that bind to the fibronectin type II domains of MMP-2, achieving IC₅₀ values of 10–100 μM [162]. In previous studies, we used phage display to identify the linear peptide RSH-12, which selectively binds the fibronectin domain of MMP-2/9 and inhibits gelatinolytic activity in vitro [163]. RSH-12 was further optimized by cyclization to enhance serum stability, producing a more potent inhibitor of MMP-9 activity and fibrosarcoma cell invasion [164]. An MMP-2/9-targeted cyclic peptide, CTT, was shown to possess potent gelatinase inhibitory activity, while its radiolabeled derivative was employed for in vivo tumor imaging in models with high MMP-2/9 expression [165]. However, none of these peptides have yet been tested for their anti-cancer activities in models of breast cancer.
Another recent strategy aims to engineer endogenous TIMPs, natural tight-binding protein inhibitors of active MMPs that in their native forms are broadly cross-reactive. By leveraging structure-function insight at the TIMP-MMP interface, protein engineering using yeast surface display and directed evolution can alter the inhibitory spectrum of TIMPs to become much more selective [166]. In practice, mutational tuning of the TIMP binding loops, supported by computation-guided design, enables conversion of TIMP scaffolds into isoform-selective inhibitors while preserving high potency.
The N-terminal domain of TIMP-2 (N-TIMP2) is a compact, well-behaved inhibitory scaffold that retains full MMP-binding activity and is amenable to display-based selection. Using dual-color sorting, N-TIMP2 variants with 30- to 1175-fold enhanced selectively for either MMP-9 or MMP-14 were obtained; biochemical selectivity extended to cells, where MMP-9-selective variants blocked the mobility of MCF-7 cells overexpressing MMP-9 but not their MMP-14-overexpressing counterparts [167]. A next-generation MMP-9-selective N-TIMP2 variant (REY) further improved inhibitory affinity for MMP-9 (Kiapp ~0.15 nM). and exhibited >1000-fold selectivity over off-target MMPs like MMP-3, MMP-10, and MMP-14 [168]. In functional assays with MDA-MB-231 breast cancer cells, REY potently inhibited cell invasion and proliferation in a dose-dependent manner, achieving >90% inhibition at 100 nM without cytotoxicity [168]. Complementing the MMP-9 program, computation-guided evolution yielded an ultra-high-affinity inhibitor of MMP-14 (Ki ~0.9 pM; 900-fold enhanced affinity and up to 16,000-fold higher selectively relative to other MMPs) that functionally suppressed MMP-dependent breast cancer cellular invasiveness [169]. Extending this concept to the pericellular activation machinery, a multi-specific N-TIMP2 heterodimer co-targeting MMP-14 and integrin αvβ3 displayed superior capability to suppress MMP-2 activation and curtailed endothelial invasion and tube formation [170]. This innovative engineering approach underscores a tractable route to interfere with the MMP-14/MMP-2 activation axis relevant to breast cancer stromal and tumor compartments.
Full-length TIMP-1, comprised of two domains, offers a broader epitope surface than N-TIMP2, enabling extensive fine-tuning of affinity and selectivity through directed evolution. In work using MMP-3 as a model, we showed that mutations distributed across both the N- and C-terminal domains can act synergistically to strengthen affinity and shape specificity; variants achieved low-picomolar inhibition and demonstrated that the two domains cooperate in matrix metalloproteinase recognition [171]. A counter-selective screening strategy was further developed to drive fine discrimination between closely related MMPs, illustrating how distal TIMP-1 epitopes can be leveraged to bias binding toward one among near-identical enzymes [172]. We have recently applied these principles to generate a TIMP-1 variant (TIMP-1-C15) with markedly enhanced specificity and potency for inhibiting MMP-9. TIMP-1-C15 incorporated mutations that exploit interactions not only with the MMP-9 catalytic domain but also its unique fibronectin domains, resulting in an improved equilibrium inhibition constant (Ki) for MMP-9, 0.61±0.02 nM for TIMP-1-C15 versus 3.36±0.07 nM for wild-type TIMP-1, a ~5.5-fold enhancement [173]. TIMP-1-C15 also demonstrated dose-dependent suppression of cell invasion in two triple-negative breast cancer cell lines (MDA-MB-231 and BT-549), outperforming wild-type TIMP-1 across tested concentrations [173]. These findings support the idea that full-length TIMP-1 can be programmed for single-MMP selectivity through multisite engagement while retaining a human scaffold conducive to further translational optimization.
Pharmacokinetic engineering is beginning to address a practical barrier for TIMP therapeutics. PEGylation extended the circulation half-life of TIMP-1 from about an hour to roughly a day in mice while preserving inhibitory activity and anti-invasion effects [174], while an unfolded Pro–Ala–Thr extension (“PATylation”) similarly prolonged N-TIMP2 exposure without loss of potency against MMP-9 [175]. Against this backdrop, highly selective TIMP variants that inhibit MMP-9 or MMP-14, nanobody approaches to MMP-2, and clinical-stage anti-MMP-9 antibodies such as andecaliximab define a coherent path for direct gelatinase inhibition by biologics in breast cancer. The mechanistic selectivity and early safety signals with selective MMP-9 blockade suggest a way to leverage gelatinase biology while avoiding the toxicity that limited broad small molecules. However, translation will depend on in vivo validation in breast cancer models, durable target engagement in the tumor microenvironment, and rational combinations with chemotherapy or immune checkpoint blockade. With continued optimization of selectivity, exposure, and delivery, protein inhibitors, including monoclonal antibodies, nanobodies, and engineered TIMPs, are well positioned to test the hypothesis that precise gelatinase inhibition can improve outcomes in aggressive breast cancer.
Indirect modulation of gelatinase expression and activity
Beyond direct catalytic inhibition, gelatinase activity in breast cancer is shaped by upstream signaling networks that regulate MMP-2 and MMP-9 expression. Key pathways include MAPK/AP-1, PI3K/Akt/mTOR, NF-κB, EGFR/JAK/STAT, nuclear receptors, and VEGF-linked stromal loops integrate external cues with transcriptional control, driving invasion, angiogenesis, and metastasis. Numerous pharmacological inhibitors, natural compounds, and repurposed drugs attenuate these nodes, thereby reducing gelatinase output and metastatic behavior (Table 2).
Table 2.
Indirect modulation of gelatinase expression and activity in breast cancer—therapeutic nodes and representative modulators.
| Pathway / node | Mechanism and dominant readouts | Therapeutic modulators (representative refs) |
|---|---|---|
| Growth factor and PKC signaling: MAPK/AP-1 and NF-κB convergence | ERK/JNK/p38 drive AP-1 and NF-κB-dependent MMP-9 transcription. Inhibitors reduce gelatinase activity and invasion; some show in vivo anti-metastatic/anti-angiogenic effects. | Dihydroavenanthramide D [186]; silibinin [178–181]; berberine [182, 183]; curcumin [187]; orientin [188]; triptolide [189]; capillarisin [191]; delphinidin [192]; centchroman [193]; emodin [184]; AP-1–targeting PI polyamide [185]; ursolic acid [194]; Salvia miltiorrhiza extract [195]. |
| PI3K/Akt/mTOR integration with NF-κB/AP-1 | Agents inhibit PI3K/Akt and/or mTOR (often with ERK crosstalk), lower NF-κB/AP-1 signaling, suppress MMP-2/−9, invasion, and (for several) angiogenesis/metastasis in vivo. | DMBT [200]; CoQ0 [201]; dihydroartemisinin [202]; EGCG [203]; piceatannol [204]; sinomenine [206]; antroquinonol [207]; docetaxel/quercetin nanoparticles [197]; curcumol [198]; gypensapogenin H [199]; MPPa-PDT [208]. |
| NF-κB-centered control of gelatinases | Direct inhibition of the Akt/IKK/NF-κB axis reduces MMP-9 transcription/activity and invasion; several agents validated with genetic/pharmacologic tools and in vivo. | DPP23 [210]; DHMEQ [212]; sulforaphane [213]; Saussurea lappa extract (ESL) [214]; celastrol [190, 215]; magnolol [211]; Frondoside A [217]; gallic acid-AuNP [218]; formononetin [219]; docosahexaenoic acid [220]; Euphorbia humifusa [221]; metformin [222]; Anisomeles indica extract (AI)/apigenin [216]. |
| Receptor-level control: EGFR/HER2 and JAK/STAT | EGFR→JAK3/ERK signaling upregulates MMP-9; modulators inhibit EGFR phosphorylation and downstream NF-κB/AP-1, reducing MMP-9 and invasion. | Lapatinib-derivative conjugates (3a, 5b) [225]; pomolic acid [205]. |
| Nuclear receptor and antioxidant programs: PPARγ, retinoids, and Nrf2/HO-1 | PPARγ and retinoids elevate TIMPs and/or damp NF-κB/AP-1; Nrf2/HO-1 induction suppresses MMP-9 and invasion. | PPARγ agonists (pioglitazone, rosiglitazone, GW7845) and 15d-PGJ₂ [226–228]; all-trans retinoic acid [226, 227]; nicardipine [229]; letrozole [230]; tamoxifen [231]; tamoxifen/tranilast [232]; tamoxifen/orlistat nanocrystals [233]. |
| Microenvironment and angiogenesis: VEGF-linked loops and stromal mediators | Breaking MMP-9/VEGF stromal feed-forward loops or blocking VEGF→VEGFR2→FAK signaling lowers MMP-9, curtails angiogenesis, and limits metastatic spread. | Amino-bisphosphonates (zoledronate, pamidronate) [235]; cucurbitacin B [236]. |
Growth factor and PKC signaling: convergence on MAPK/AP-1 and NF-κB
Mitogen-activated protein kinases link growth factor and PKC signals to transcriptional programs that drive gelatinase expression in breast cancer. The MAPK family including ERK, JNK, and p38 represents one of the most extensively studied upstream regulators of MMP-2 and MMP-9. These kinases integrate extracellular cues such as growth factors, cytokines, and stress signals, transmitting them to transcriptional activators like AP-1 and NF-κB that directly control gelatinase expression. Early pathway dissection with heregulin-β1 in SKBr3 and MCF-7 cells revealed that PKCε and p38 were essential and ERK also contributed, while PI3K/Akt was dispensable [176]. Pharmacologic blockade with RO318220 (PKC), SB203580 (p38), or PD098059 (MEK/ERK) effectively suppressed MMP-9 induction and invasion [176]. Selective inhibition of p38α also reduced basal and TGF-β1-induced MMP-9, impaired vitronectin-driven motility, and suppressed osteolytic metastasis in vivo, linking p38 signaling to bone colonization in breast cancer [177].
Multiple agents exploit this node therapeutically. For example, silibinin, a flavonoid from milk thistle, blocked MEK/ERK phosphorylation, reduced MMP-9 and COX-2 expression (phenocopied by the MEK inhibitor U0126 and reversed by constitutively active MEK, establishing pathway dependence), and inhibited invasion in MCF-7 and MDA-MB-231 cells [178–181]. Berberine, an isoquinoline alkaloid, suppressed PKCα/MEK/ERK signaling, reducing MMP-9 expression and activity in MCF-7 and MDA-MB-231 breast cancer cells and blocking migration and invasion [182, 183]. Modulators with in vivo corroboration include emodin, an anthraquinone derivative, which suppressed TNFα-induced MMP-9 expression via p38/IKK/NF-κB signaling, reducing primary tumor invasiveness and lung metastases in xenografted mice [184]. An orthogonal approach blocks AP-1 at the MMP-9 promoter: a pyrrole–imidazole polyamide targeting the AP-1 recognition site reduced MMP-9 mRNA, protein, and activity in MDA-MB-231 cells, curtailing migration and invasion and reducing liver metastasis and angiogenesis in vivo [185]. Numerous additional natural or synthetic modulators converge on the same MAPK/AP-1 and NF-κB axis and recapitulate these phenotypes in breast cancer models, illustrating how pharmacologic blockade of MAPK signaling not only prevents gelatinase expression but blunts their tumor-promoting effects [178–180, 186–195].
In sum, dysregulated MAPK signaling enhances gelatinase-driven invasion and metastasis, making this pathway a central therapeutic target. Across breast cancer models, interrupting ERK/JNK/p38 activation or preventing AP-1 promoter engagement consistently lowers MMP-9 transcription and gelatinolytic activity and curbs migration, invasion, and, in some studies, metastatic spread. Given frequent interplay with PI3K/Akt and NF-κB, rational combinations that co-target cooperating nodes may yield more durable suppression of gelatinase-driven invasion; we address these related signaling pathways in sections below.
PI3K/Akt/mTOR integration with NF-κB/AP-1
The PI3K/Akt axis, often coupled with mTOR, is a central signaling hub orchestrating cell survival, motility, metabolism, and angiogenesis, and is strongly implicated in MMP regulation [196]. Activation of Akt promotes nuclear signaling cascades that upregulate MMP-2 and MMP-9 transcription and secretion, whereas pharmacological inhibition or blockade by natural compounds suppresses gelatinase activity and breast cancer invasiveness. Given its frequent hyperactivation in aggressive tumors, PI3K/Akt/mTOR represents a critical regulatory node for targeting breast cancer metastasis.
Several synthetic agents and natural products have demonstrated anti-invasive properties by suppressing Akt- and mTOR-driven pathways. For example, co-delivery of docetaxel and the Akt inhibitor quercetin in hyaluronic acid (HA)–modified PLGA–PEI nanoparticles in 4T1 murine breast cancer cells downregulated p-Akt and MMP-9, suppressing migration (~95%) and invasion (~99%) in vitro [197]. In vivo, the HA-nanoparticles accumulated in tumors and lungs of 4T1-bearing mice, effectively curtailing both primary tumor growth and pulmonary metastasis [197]. Curcumol attenuated PI3K/Akt-dependent NF-κB activation, reduced MMP-9, and limited tumor growth and metastasis in vivo [198]. Gypensapogenin H similarly suppressed the PI3K/Akt/NF-κB/MMP-9 axis, restraining growth and migration of triple-negative breast cancer in preclinical models [199]. Additional modulators converge on this node, including agents that reduce Akt phosphorylation and downstream NF-κB/AP-1 activity with reductions in gelatinase expression and activity, and consequent reductions in endpoints such as migration, invasion, metastasis, and angiogenesis [200–208]
Collectively, these studies underscore the centrality of PI3K/Akt and mTOR in regulating MMP-2/−9 expression, with multiple agents acting at different levels of the pathway, from receptor tyrosine kinases to Akt phosphorylation and mTOR effectors. A recurring caveat is pleiotropy: many agents modulate PI3K/Akt together with MAPK and NF-κB; while this complicates mechanism assignment, it may be advantageous therapeutically when simultaneous suppression of cooperating nodes is desired. The convergence of findings across synthetic drugs, phytochemicals, and nanoparticle formulations highlights PI3K/Akt/mTOR as a versatile and druggable signaling axis. Given its broad integration with NF-κB, AP-1, and EMT-inducing transcription factors, inhibition of this pathway offers a promising therapeutic avenue to suppress gelatinase-driven invasion, angiogenesis, and metastasis in breast cancer.
NF-κB-centered control of gelatinases
NF-κB is a master transcriptional regulator of genes linked to inflammation, angiogenesis, and invasion, including MMP-2 and MMP-9. Constitutive NF-κB activation is a hallmark of many breast cancer subtypes, particularly triple-negative disease, where chronic signaling supports metastatic behavior [209]. In this context, multiple studies demonstrate that natural products, synthetic small molecules, and nanoparticle formulations suppress MMP-2/−9 expression by disrupting NF-κB activation, thereby attenuating invasion and metastasis. Together, these observations establish NF-κB as a therapeutically relevant node for indirect gelatinase control.
Therapeutic modulation has been demonstrated with mechanistic and in vivo support. The synthetic chalcone DPP23 blocked the Akt/IKK/NF-κB axis, suppressing TNFα-induced MMP-9 transcription, actin remodeling, migration, and invasion; in a 4T1 syngeneic model it attenuated liver metastasis, highlighting pathway-dependent anti-metastatic activity [210]. Magnolol inhibited IκBα phosphorylation and NF-κB nuclear translocation, potently suppressing MMP-9 while sparing MMP-2 across multiple breast cancer cell types, and reduced tumor growth and MMP-9 levels in xenograft models [211]. Additional agents converge on the same pathway and recapitulate anti-gelatinase, anti-invasive phenotypes in breast cancer models [209, 212–222].
These findings reinforce NF-κB as a critical transcriptional driver of gelatinase expression in breast cancer. Across diverse pharmacologic and natural inhibitors, a consistent theme emerges as blocking NF-κB nuclear translocation or promoter engagement reduces MMP-2/−9 expression, dampens gelatinolytic activity, and limits invasion and metastatic spread. These results not only establish NF-κB as a therapeutic target but also highlight its central role as a signaling hub integrating inputs from PI3K/Akt, MAPKs, and oxidative stress responses into MMP regulation.
Receptor-level control: EGFR/HER2 and JAK/STAT signaling
Growth factor signaling via EGFR and its downstream mediators JAK and STAT are central drivers of oncogenic programs in breast cancer, including regulation of MMP expression [223]. Mechanistically, EGF activates MMP-9 transcription through an EGFR/JAK3/ERK-dependent pathway, whereas STAT3 can act as a negative regulator [224]. In HER2-positive SKBR3 cells, pharmacological inhibition of EGFR (AG1478), JAK3 (WHI-P131), or MEK1/2 (UO126), or alternatively JAK3 siRNA or STAT3 overexpression, markedly reduced EGF-induced MMP-9. In contrast, JAK1 or JAK2 inhibition had no effect, defining JAK3/ERK as essential positive regulators and STAT3 as a negative modulator of EGF-induced gelatinase expression [224].
Therapeutically, EGFR-directed strategies reduce MMP-9 output and invasion in breast cancer models. In triple-negative disease, lapatinib-derived conjugates linked to cancer stem cell inhibitors (compounds 3a and 5b) reversed lapatinib resistance by attenuating EGFR signaling, suppressing Wnt/β-catenin, and reducing MMP-2/−9 [225]. In vivo, pretreatment with 3a reduced tumor initiation in xenografted TNBC models, highlighting the therapeutic potential to limit metastasis [225]. In EGF-stimulated MDA-MB-231 cells, the triterpenoid pomolic acid suppressed EGFR phosphorylation and downstream ERK and PI3K/Akt/mTOR signaling, reduced MMP-9 transcriptional activity and protein levels, inhibited NF-κB and AP-1 DNA binding, and decreased FAK phosphorylation, thereby limiting invasion and migration [205].
Collectively, these studies underscore EGFR/JAK/STAT signaling as a pivotal regulator of MMP-9 in breast cancer. Targeting this axis, via direct EGFR inhibition, selective JAK3 blockade, or dual pathway strategies that suppress ERK and PI3K/Akt, emerges as a coherent approach to limit gelatinase-driven invasion and metastasis in tumors with EGF-responsive phenotypes.
Nuclear receptor and antioxidant programs: PPARγ, retinoids, and Nrf2/HO-1
Nuclear receptor signaling through peroxisome proliferator-activated receptor gamma (PPARγ), retinoic acid receptors, and estrogen receptor (ER), together with the antioxidant nuclear factor erythroid 2–related factor 2 (Nrf2) and heme oxygenase-1 (HO-1) axis, provides an additional layer of transcriptional control over MMP activity in breast cancer. These pathways frequently exert anti-inflammatory and antioxidant effects, indirectly reducing gelatinase expression by upregulating TIMPs or suppressing NF-κB and AP-1 transcriptional activity. Importantly, their modulation by natural ligands and FDA-approved drugs highlights their therapeutic potential for limiting invasion and metastasis.
PPARγ and retinoids illustrate two complementary modes of gelatinase control. In MDA-MB-231 cells, PPARγ agonists (pioglitazone, rosiglitazone, GW7845) and the endogenous ligand 15-deoxy-Δ12,14-prostaglandin J₂ (15d-PGJ₂), as well as all-trans retinoic acid (ATRA), suppressed invasion. While MMP-9 protein levels remained unchanged and MMP-2 was undetectable, these ligands robustly increased TIMP-1 expression, thereby elevating the TIMP-1/MMP-9 ratio and reducing gelatinolytic activity; neutralization experiments confirmed that MMP-9 was the dominant mediator of invasion in this context [226]. In ER-positive MCF-7 cells, ATRA treatment significantly decreased pro-MMP-2 activity and expression while increasing TIMP-2 and E-cadherin [227]. It also suppressed MMP-14, EMMPRIN, integrins (α5, β1), FAK, NF-κB, phosphorylated ERK, and VEGF, linking retinoid signaling to integrin/FAK and MAPK nodes that impinge on gelatinase regulation and cell-ECM adhesion [227].
Antioxidant programs intersect with these nuclear receptors via HO-1. In MCF-7 cells, 15d-PGJ₂ inhibited TPA-induced MMP-9 expression and invasion through an HO-1-dependent mechanism; PPARγ activity was required, as the antagonist GW9662 reversed the effect [228]. Mechanistically, 15d-PGJ₂ blocked nuclear translocation and DNA binding of NF-κB and AP-1, and induced HO-1 expression via Nrf2 activation; positive feedback between HO-1 and PPARγ reinforced this axis [228]. Clinically accessible modulation of this axis is exemplified by nicardipine, an FDA-approved calcium channel blocker, which suppressed MMP-9 expression and activity in triple-negative breast cancer models through Nrf2-dependent HO-1 induction, inhibiting migration, invasion, and colony formation [229]. Pharmacological or siRNA blockade of HO-1 restored MMP-9 activity, while HO-1 end products such as bilirubin downregulated MMP-9 [229]. These findings point to a drug repurposing path for Nrf2/HO-1 activation in gelatinase control.
Endocrine signaling adds context as another nuclear receptor modulating gelatinase expression and activity. In ER-positive MCF-7 cells, aromatase inhibition with letrozole reduced androgen-driven proliferation and suppressed secretion of pro-MMP-2 and pro-MMP-9, attenuating estradiol-induced gelatinase upregulation. These results highlight the dual action of aromatase inhibition on both growth and invasion pathways in ER+ breast cancer [230]. In another study, estradiol and the selective estrogen receptor modulator tamoxifen differentially regulated gelatinases in MCF-7 cells, with estradiol generally reducing MMP-2/−9 and tamoxifen increasing them, emphasizing context-dependent ER control of the protease/anti-protease balance [231]. Combination strategies can sharpen the effect: tamoxifen with tranilast decreased VEGF and MMP-9 more than either agent alone in both ER-positive and ER-negative models [232], and tamoxifen with orlistat nanocrystals likewise enhanced tumor suppression with concurrent downregulation of MMP-9 and VEGF among other tumor markers [233].
Taken together, ligands of PPARγ and retinoic acid receptors, inducers of Nrf2/HO-1, and ER-directed endocrine approaches converge on lowering MMP-2/−9 activity by enhancing TIMP expression and repressing integrin-FAK or NF-κB/AP-1 pathways. With several agents already in clinical use or repurposing range, this node offers pharmacologically tractable strategies to restrain gelatinase-driven invasion in breast cancer.
Microenvironment and angiogenesis: VEGF-linked loops and stromal mediators
Angiogenesis is a hallmark of breast cancer progression, and VEGF serves as its central driver. Matrix metalloproteinases, particularly MMP-2 and MMP-9, facilitate extracellular matrix degradation that permits endothelial sprouting and vessel remodeling [234]. This functional interdependence establishes a VEGF/MMP axis critical for tumor vascularization and metastatic dissemination.
Amino-bisphosphonates, including zoledronate and pamidronate, disrupted an MMP-9/VEGF feed-forward loop that promoted myeloid-derived suppressor cell (MDSC) expansion and stromal remodeling in a HER2/neu-driven breast cancer model [235]. Treatment reduced MMP-9 and VEGF, normalized bone marrow progenitor expansion, and curtailed MDSC infiltration, alleviating immunosuppression [235]. Direct interference with VEGF signaling also suppresses gelatinase-linked angiogenesis. Cucurbitacin B bound VEGF and blocked VEGF/VEGFR2/FAK signaling, reducing migration, invasion, and tube formation of tumor and endothelial cells [236]. In vivo, it diminished tumor growth, lung metastases, and microvessel density, while reducing FAK phosphorylation and MMP-9, establishing the VEGF/VEGFR2/FAK/MMP-9 axis as a therapeutic target [236].
Together, these findings illustrate how targeting the VEGF/MMP-9 circuitry, either by breaking stromal feed-forward loops or by blocking VEGF/VEGFR2 signaling, can restrain angiogenesis, remodel the microenvironment, and limit metastatic progression in breast cancer models. Translationally, this axis is well-suited to combination strategies with anti-angiogenic or immune-checkpoint therapies in settings where MMP-9-dependent vascular remodeling sustains metastatic outgrowth.
Conclusions
Gelatinases, particularly MMP-2 and MMP-9, are integral to breast cancer progression, enabling basement-membrane breach, angiogenesis, immune evasion, and metastatic outgrowth. Their dual nature as biomarkers and therapeutic targets has long been appreciated, yet early broad-spectrum MMP inhibitors faltered in the clinic because they indiscriminately chelated zinc across the protease family, leading to toxicity and limited benefit. These experiences underscored the need for selectivity—discriminating tumor-promoting MMP activities from homeostatic functions.
Recent advances point to a more tractable path. Direct inhibitors, including mechanism-based thiiranes, allosteric blockers of pro-MMP-9 activation, and more selective zinc-binding scaffolds, demonstrate that potency can be combined with isoform bias. In parallel, biologics, including monoclonal antibodies, nanobodies, and engineered TIMP variants, offer epitope-level selectivity and encouraging signs of tolerability, with pharmacokinetic engineering beginning to address exposure. These approaches enable precise targeting of gelatinase activity in relevant tumor and stromal compartments.
Complementing direct strategies, indirect targeting of gelatinases through upstream regulatory pathways, including MAPK/AP-1, PI3K/Akt/mTOR, NF-κB, EGFR/JAK/STAT, and nuclear receptor networks, consistently lowers MMP-2/-9 expression and activity, curbing invasion, angiogenesis, and metastasis in preclinical models. Because these pathways frequently intersect, rational combinations and sequencing with chemotherapy, endocrine therapy, or immune checkpoint blockade may be particularly effective in subtypes such as triple-negative disease.
Translationally, progress will hinge on clear pharmacodynamic readouts of on-target gelatinase inhibition, adequate tumor exposure, and biomarker-guided trial designs that align mechanism with patient selection. With these elements in place, selective gelatinase inhibition, achieved by refined small molecules or protein-based agents, has the potential to move from concept to clinic and improve outcomes for patients with aggressive, treatment-resistant breast cancers.
Acknowledgements
This work was supported by NIH grant R01CA258274 to E.S.R.
Abbreviations
- AKT
Protein kinase B
- AP-1
Nuclear translocations of activator protein-1
- COX-2
Cyclooxygenase-2
- CXCR
CXC chemokine receptors
- CXCL
Chemokine (CXC motif) ligand
- DHAvD
Dihydroavenanthramide D
- DHMEQ
Dehydroxymethylepoxyquinomicin
- DMBT
6, 6’-bis (2, 3-dimethoxybenzoyl)-a,a-D-trehalose
- DPP23
E-3-(3,5-dimethoxyphenyl)-1-(2-methoxyphenyl) prop-2-en-1-one
- ECM
Extracellular matrix
- EGFR
Epidermal growth factor receptor
- ERK
Extracellular signal regulated kinase
- FAK
Focal adhesion kinase
- FGF-2
Fibroblast growth factor 2
- FGFR1
Fibroblast growth factor receptor 1
- HER2
Human epidermal growth factor receptor 2
- HO-1
Heme oxygenase-1
- IL-1β
Interleukin-1 beta
- JAK
Janus kinase 3
- JNK
c-Jun N-terminal kinase
- MAPK
Mitogen-activated protein kinase
- MMPs
Matrix metalloproteases
- mTOR
Mammalian target of rapamycin
- NF-κB
Nuclear factor kappa B
- NGAL
Neutrophil gelatinase-associated lipocalin
- PD-L1
Programmed death-ligand 1
- PI3K
Phosphoinositide 3-kinase
- PKC-α
Protein kinase C alpha
- PPARγ
Peroxisome proliferator-activated receptor γ
- STAT
Signal transducer and activation of transcription
- TGF
Transforming growth factor
- TIMP
Tissue inhibitor of metalloproteinase
- TNF
Tumor necrosis factor
- TPA
12-O-tetradecanoylphorbol-13- acetate
- VEGF
Vascular endothelial growth factor
- 15d-PGJ2
15-Deoxy-Delta-12,14-prostaglandin J2
Footnotes
Conflict of interest
The authors declare no conflict of interest.
References
- 1.Siegel RL, Giaquinto AN & Jemal A (2024) Cancer statistics, 2024, CA Cancer J Clin. 74, 12–49. [DOI] [PubMed] [Google Scholar]
- 2.Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I & Jemal A (2024) Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA Cancer J Clin. 74, 229–263. [DOI] [PubMed] [Google Scholar]
- 3.Arnold M, Morgan E, Rumgay H, Mafra A, Singh D, Laversanne M, Vignat J, Gralow JR, Cardoso F, Siesling S & Soerjomataram I (2022) Current and future burden of breast cancer: Global statistics for 2020 and 2040, Breast. 66, 15–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lukasiewicz S, Czeczelewski M, Forma A, Baj J, Sitarz R & Stanislawek A (2021) Breast Cancer-Epidemiology, Risk Factors, Classification, Prognostic Markers, and Current Treatment Strategies-An Updated Review, Cancers (Basel). 13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shrestha A, Martin C, Burton M, Walters S, Collins K & Wyld L (2019) Quality of life versus length of life considerations in cancer patients: A systematic literature review, Psychooncology. 28, 1367–1380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Smolarz B, Nowak AZ & Romanowicz H (2022) Breast Cancer—Epidemiology, Classification, Pathogenesis and Treatment (Review of Literature), Cancers. 14, 2569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lord SJ, Bahlmann K, O’Connell DL, Kiely BE, Daniels B, Pearson SA, Beith J, Bulsara MK & Houssami N (2022) De novo and recurrent metastatic breast cancer - A systematic review of population-level changes in survival since 1995, EClinicalMedicine. 44, 101282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Loibl S, Andre F, Bachelot T, Barrios CH, Bergh J, Burstein HJ, Cardoso MJ, Carey LA, Dawood S, Del Mastro L, Denkert C, Fallenberg EM, Francis PA, Gamal-Eldin H, Gelmon K, Geyer CE, Gnant M, Guarneri V, Gupta S, Kim SB, Krug D, Martin M, Meattini I, Morrow M, Janni W, Paluch-Shimon S, Partridge A, Poortmans P, Pusztai L, Regan MM, Sparano J, Spanic T, Swain S, Tjulandin S, Toi M, Trapani D, Tutt A, Xu B, Curigliano G, Harbeck N & clinicalguidelines@esmo.org, E. G. C. E. a. (2024) Early breast cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up, Ann Oncol. 35, 159–182. [DOI] [PubMed] [Google Scholar]
- 9.Gennari A, Andre F, Barrios CH, Cortes J, de Azambuja E, DeMichele A, Dent R, Fenlon D, Gligorov J, Hurvitz SA, Im SA, Krug D, Kunz WG, Loi S, Penault-Llorca F, Ricke J, Robson M, Rugo HS, Saura C, Schmid P, Singer CF, Spanic T, Tolaney SM, Turner NC, Curigliano G, Loibl S, Paluch-Shimon S, Harbeck N & clinicalguidelines@esmo.org, E. G. C. E. a. (2021) ESMO Clinical Practice Guideline for the diagnosis, staging and treatment of patients with metastatic breast cancer, Ann Oncol. 32, 1475–1495. [DOI] [PubMed] [Google Scholar]
- 10.Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J & Cardoso F (2019) Breast cancer, Nat Rev Dis Primers. 5, 66. [DOI] [PubMed] [Google Scholar]
- 11.Kai F, Drain AP & Weaver VM (2019) The Extracellular Matrix Modulates the Metastatic Journey, Dev Cell. 49, 332–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Paolillo M & Schinelli S (2019) Extracellular Matrix Alterations in Metastatic Processes, Int J Mol Sci. 20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Winkler J, Abisoye-Ogunniyan A, Metcalf KJ & Werb Z (2020) Concepts of extracellular matrix remodelling in tumour progression and metastasis, Nat Commun. 11, 5120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Radisky ES (2024) Extracellular proteolysis in cancer: Proteases, substrates, and mechanisms in tumor progression and metastasis, J Biol Chem. 300, 107347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Westby MJ, Norman G, Watson REB, Cullum NA & Dumville JC (2020) Protease activity as a prognostic factor for wound healing in complex wounds, Wound Repair Regen. 28, 631–644. [DOI] [PubMed] [Google Scholar]
- 16.Curry TE Jr., Dean DD, Sanders SL, Pedigo NG & Jones PB (1989) The role of ovarian proteases and their inhibitors in ovulation, Steroids. 54, 501–21. [DOI] [PubMed] [Google Scholar]
- 17.Davis GE (2011) Angiogenesis and Proteinases: Influence on Vascular Morphogenesis, Stabilization and Regression, Drug Discov Today Dis Models. 8, 13–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bond JS (2019) Proteases: History, discovery, and roles in health and disease, J Biol Chem. 294, 1643–1651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Winer A, Adams S & Mignatti P (2018) Matrix Metalloproteinase Inhibitors in Cancer Therapy: Turning Past Failures Into Future Successes, Mol Cancer Ther. 17, 1147–1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Radisky ES & Radisky DC (2015) Matrix metalloproteinases as breast cancer drivers and therapeutic targets, Front Biosci (Landmark Ed). 20, 1144–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Jiang H & Li H (2021) Prognostic values of tumoral MMP2 and MMP9 overexpression in breast cancer: a systematic review and meta-analysis, BMC Cancer. 21, 149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Duffy MJ, Maguire TM, Hill A, McDermott E & O’Higgins N (2000) Metalloproteinases: role in breast carcinogenesis, invasion and metastasis, Breast Cancer Res. 2, 252–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Barsky SH, Togo S, Garbisa S & Liotta LA (1983) Type IV collagenase immunoreactivity in invasive breast carcinoma, Lancet. 1, 296–7. [DOI] [PubMed] [Google Scholar]
- 24.Nagase H, Visse R & Murphy G (2006) Structure and function of matrix metalloproteinases and TIMPs, Cardiovasc Res. 69, 562–73. [DOI] [PubMed] [Google Scholar]
- 25.Radisky ES & Coban M (2021) Enyzmes| Matrix metalloproteinases in Encyclopedia of Biological Chemistry: Third Edition pp. 336–353, Elsevier. [Google Scholar]
- 26.Van Wart HE & Birkedal-Hansen H (1990) The cysteine switch: a principle of regulation of metalloproteinase activity with potential applicability to the entire matrix metalloproteinase gene family, Proc Natl Acad Sci U S A. 87, 5578–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Dufour A, Sampson NS, Zucker S & Cao J (2008) Role of the hemopexin domain of matrix metalloproteinases in cell migration, J Cell Physiol. 217, 643–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Vandooren J, Van den Steen PE & Opdenakker G (2013) Biochemistry and molecular biology of gelatinase B or matrix metalloproteinase-9 (MMP-9): the next decade, Crit Rev Biochem Mol Biol. 48, 222–72. [DOI] [PubMed] [Google Scholar]
- 29.Murphy G, Nguyen Q, Cockett MI, Atkinson SJ, Allan JA, Knight CG, Willenbrock F & Docherty AJ (1994) Assessment of the role of the fibronectin-like domain of gelatinase A by analysis of a deletion mutant, J Biol Chem. 269, 6632–6. [PubMed] [Google Scholar]
- 30.Van den Steen PE, Van Aelst I, Hvidberg V, Piccard H, Fiten P, Jacobsen C, Moestrup SK, Fry S, Royle L, Wormald MR, Wallis R, Rudd PM, Dwek RA & Opdenakker G (2006) The hemopexin and O-glycosylated domains tune gelatinase B/MMP-9 bioavailability via inhibition and binding to cargo receptors, J Biol Chem. 281, 18626–37. [DOI] [PubMed] [Google Scholar]
- 31.Murphy G & Crabbe T (1995) Gelatinases A and B, Methods Enzymol. 248, 470–84. [DOI] [PubMed] [Google Scholar]
- 32.Ottl J, Gabriel D, Murphy G, Knauper V, Tominaga Y, Nagase H, Kroger M, Tschesche H, Bode W & Moroder L (2000) Recognition and catabolism of synthetic heterotrimeric collagen peptides by matrix metalloproteinases, Chem Biol. 7, 119–32. [DOI] [PubMed] [Google Scholar]
- 33.Seltzer JL, Weingarten H, Akers KT, Eschbach ML, Grant GA & Eisen AZ (1989) Cleavage specificity of type IV collagenase (gelatinase) from human skin. Use of synthetic peptides as model substrates, J Biol Chem. 264, 19583–6. [PubMed] [Google Scholar]
- 34.Agren MS (1994) Gelatinase activity during wound healing, Br J Dermatol. 131, 634–40. [DOI] [PubMed] [Google Scholar]
- 35.Lelongt B, Trugnan G, Murphy G & Ronco PM (1997) Matrix metalloproteinases MMP2 and MMP9 are produced in early stages of kidney morphogenesis but only MMP9 is required for renal organogenesis in vitro, J Cell Biol. 136, 1363–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Benbow U & Brinckerhoff CE (1997) The AP-1 site and MMP gene regulation: what is all the fuss about?, Matrix Biol. 15, 519–26. [DOI] [PubMed] [Google Scholar]
- 37.Yan C & Boyd DD (2007) Regulation of matrix metalloproteinase gene expression, J Cell Physiol. 211, 19–26. [DOI] [PubMed] [Google Scholar]
- 38.Westermarck J & Kahari VM (1999) Regulation of matrix metalloproteinase expression in tumor invasion, FASEB J. 13, 781–92. [PubMed] [Google Scholar]
- 39.Nazir SU, Kumar R, Singh A, Khan A, Tanwar P, Tripathi R, Mehrotra R & Hussain S (2019) Breast cancer invasion and progression by MMP-9 through Ets-1 transcription factor, Gene. 711, 143952. [DOI] [PubMed] [Google Scholar]
- 40.Janowska-Wieczorek A, Marquez LA, Nabholtz JM, Cabuhat ML, Montano J, Chang H, Rozmus J, Russell JA, Edwards DR & Turner AR (1999) Growth factors and cytokines upregulate gelatinase expression in bone marrow CD34(+) cells and their transmigration through reconstituted basement membrane, Blood. 93, 3379–90. [PubMed] [Google Scholar]
- 41.Kobayashi T, Hattori S & Shinkai H (2003) Matrix metalloproteinases-2 and −9 are secreted from human fibroblasts, Acta Derm Venereol. 83, 105–7. [DOI] [PubMed] [Google Scholar]
- 42.Sato H, Takino T, Okada Y, Cao J, Shinagawa A, Yamamoto E & Seiki M (1994) A matrix metalloproteinase expressed on the surface of invasive tumour cells, Nature. 370, 61–5. [DOI] [PubMed] [Google Scholar]
- 43.Butler GS, Butler MJ, Atkinson SJ, Will H, Tamura T, van Westrum SS, Crabbe T, Clements J, d’Ortho MP & Murphy G (1998) The TIMP2 membrane type 1 metalloproteinase “receptor” regulates the concentration and efficient activation of progelatinase A - A kinetic study, Journal of Biological Chemistry. 273, 871–880. [DOI] [PubMed] [Google Scholar]
- 44.Ramos-DeSimone N, Hahn-Dantona E, Sipley J, Nagase H, French DL & Quigley JP (1999) Activation of matrix metalloproteinase-9 (MMP-9) via a converging plasmin/stromelysin-1 cascade enhances tumor cell invasion, J Biol Chem. 274, 13066–76. [DOI] [PubMed] [Google Scholar]
- 45.Radisky ES, Raeeszadeh-Sarmazdeh M & Radisky DC (2017) Therapeutic Potential of Matrix Metalloproteinase Inhibition in Breast Cancer, J Cell Biochem. 118, 3531–3548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Fernandez CA, Yan L, Louis G, Yang J, Kutok JL & Moses MA (2005) The matrix metalloproteinase-9/neutrophil gelatinase-associated lipocalin complex plays a role in breast tumor growth and is present in the urine of breast cancer patients, Clin Cancer Res. 11, 5390–5. [DOI] [PubMed] [Google Scholar]
- 47.Yang Z, Strickland DK & Bornstein P (2001) Extracellular matrix metalloproteinase 2 levels are regulated by the low density lipoprotein-related scavenger receptor and thrombospondin 2, J Biol Chem. 276, 8403–8. [DOI] [PubMed] [Google Scholar]
- 48.Emonard H, Bellon G, Troeberg L, Berton A, Robinet A, Henriet P, Marbaix E, Kirkegaard K, Patthy L, Eeckhout Y, Nagase H, Hornebeck W & Courtoy PJ (2004) Low density lipoprotein receptor-related protein mediates endocytic clearance of pro-MMP-2.TIMP-2 complex through a thrombospondin-independent mechanism, J Biol Chem. 279, 54944–51. [DOI] [PubMed] [Google Scholar]
- 49.Hahn-Dantona E, Ruiz JF, Bornstein P & Strickland DK (2001) The low density lipoprotein receptor-related protein modulates levels of matrix metalloproteinase 9 (MMP-9) by mediating its cellular catabolism, J Biol Chem. 276, 15498–503. [DOI] [PubMed] [Google Scholar]
- 50.Van Gool B, Dedieu S, Emonard H & Roebroek AJ (2015) The Matricellular Receptor LRP1 Forms an Interface for Signaling and Endocytosis in Modulation of the Extracellular Tumor Environment, Front Pharmacol. 6, 271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Caley MP, Martins VL & O’Toole EA (2015) Metalloproteinases and Wound Healing, Adv Wound Care (New Rochelle). 4, 225–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Van Lint P & Libert C (2007) Chemokine and cytokine processing by matrix metalloproteinases and its effect on leukocyte migration and inflammation, J Leukoc Biol. 82, 1375–81. [DOI] [PubMed] [Google Scholar]
- 53.Kyriakides TR, Wulsin D, Skokos EA, Fleckman P, Pirrone A, Shipley JM, Senior RM & Bornstein P (2009) Mice that lack matrix metalloproteinase-9 display delayed wound healing associated with delayed reepithelization and disordered collagen fibrillogenesis, Matrix Biol. 28, 65–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bradley LM, Douglass MF, Chatterjee D, Akira S & Baaten BJ (2012) Matrix metalloprotease 9 mediates neutrophil migration into the airways in response to influenza virus-induced toll-like receptor signaling, PLoS Pathog. 8, e1002641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Van den Steen PE, Proost P, Wuyts A, Van Damme J & Opdenakker G (2000) Neutrophil gelatinase B potentiates interleukin-8 tenfold by aminoterminal processing, whereas it degrades CTAP-III, PF-4, and GRO-alpha and leaves RANTES and MCP-2 intact, Blood. 96, 2673–81. [PubMed] [Google Scholar]
- 56.Bronger H, Magdolen V, Goettig P & Dreyer T (2019) Proteolytic chemokine cleavage as a regulator of lymphocytic infiltration in solid tumors, Cancer Metastasis Rev. 38, 417–430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Giannelli G, Falk-Marzillier J, Schiraldi O, Stetler-Stevenson WG & Quaranta V (1997) Induction of cell migration by matrix metalloprotease-2 cleavage of laminin-5, Science. 277, 225–8. [DOI] [PubMed] [Google Scholar]
- 58.Mehner C, Hockla A, Miller E, Ran S, Radisky DC & Radisky ES (2014) Tumor cell-produced matrix metalloproteinase 9 (MMP-9) drives malignant progression and metastasis of basal-like triple negative breast cancer, Oncotarget. 5, 2736–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Linder S, Wiesner C & Himmel M (2011) Degrading devices: invadosomes in proteolytic cell invasion, Annu Rev Cell Dev Biol. 27, 185–211. [DOI] [PubMed] [Google Scholar]
- 60.Jacob A, Jing J, Lee J, Schedin P, Gilbert SM, Peden AA, Junutula JR & Prekeris R (2013) Rab40b regulates trafficking of MMP2 and MMP9 during invadopodia formation and invasion of breast cancer cells, J Cell Sci. 126, 4647–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Yu Q & Stamenkovic I (2000) Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-beta and promotes tumor invasion and angiogenesis, Genes Dev. 14, 163–76. [PMC free article] [PubMed] [Google Scholar]
- 62.Yu Q & Stamenkovic I (1999) Localization of matrix metalloproteinase 9 to the cell surface provides a mechanism for CD44-mediated tumor invasion, Genes Dev. 13, 35–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Rolli M, Fransvea E, Pilch J, Saven A & Felding-Habermann B (2003) Activated integrin alphavbeta3 cooperates with metalloproteinase MMP-9 in regulating migration of metastatic breast cancer cells, Proc Natl Acad Sci U S A. 100, 9482–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Wang TN, Albo D & Tuszynski GP (2002) Fibroblasts promote breast cancer cell invasion by upregulating tumor matrix metalloproteinase-9 production, Surgery. 132, 220–5. [DOI] [PubMed] [Google Scholar]
- 65.Hagemann T, Robinson SC, Schulz M, Trumper L, Balkwill FR & Binder C (2004) Enhanced invasiveness of breast cancer cell lines upon co-cultivation with macrophages is due to TNF-alpha dependent up-regulation of matrix metalloproteases, Carcinogenesis. 25, 1543–9. [DOI] [PubMed] [Google Scholar]
- 66.Vilchez Mercedes SA, Bocci F, Levine H, Onuchic JN, Jolly MK & Wong PK (2021) Decoding leader cells in collective cancer invasion, Nat Rev Cancer. 21, 592–604. [DOI] [PubMed] [Google Scholar]
- 67.Dean ZS, Elias P, Jamilpour N, Utzinger U & Wong PK (2016) Probing 3D Collective Cancer Invasion Using Double-Stranded Locked Nucleic Acid Biosensors, Anal Chem. 88, 8902–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Polette M, Gilbert N, Stas I, Nawrocki B, Noel A, Remacle A, Stetler-Stevenson WG, Birembaut P & Foidart M (1994) Gelatinase A expression and localization in human breast cancers. An in situ hybridization study and immunohistochemical detection using confocal microscopy, Virchows Arch. 424, 641–5. [DOI] [PubMed] [Google Scholar]
- 69.Hiratsuka S, Nakamura K, Iwai S, Murakami M, Itoh T, Kijima H, Shipley JM, Senior RM & Shibuya M (2002) MMP9 induction by vascular endothelial growth factor receptor-1 is involved in lung-specific metastasis, Cancer Cell. 2, 289–300. [DOI] [PubMed] [Google Scholar]
- 70.Owyong M, Chou J, van den Bijgaart RJ, Kong N, Efe G, Maynard C, Talmi-Frank D, Solomonov I, Koopman C, Hadler-Olsen E, Headley M, Lin C, Wang CY, Sagi I, Werb Z & Plaks V (2019) MMP9 modulates the metastatic cascade and immune landscape for breast cancer anti-metastatic therapy, Life Sci Alliance. 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Bates AL, Pickup MW, Hallett MA, Dozier EA, Thomas S & Fingleton B (2015) Stromal matrix metalloproteinase 2 regulates collagen expression and promotes the outgrowth of experimental metastases, J Pathol. 235, 773–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Thiolloy S, Edwards JR, Fingleton B, Rifkin DB, Matrisian LM & Lynch CC (2012) An osteoblast-derived proteinase controls tumor cell survival via TGF-beta activation in the bone microenvironment, PLoS One. 7, e29862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Juric V, O’Sullivan C, Stefanutti E, Kovalenko M, Greenstein A, Barry-Hamilton V, Mikaelian I, Degenhardt J, Yue P, Smith V & Mikels-Vigdal A (2018) MMP-9 inhibition promotes anti-tumor immunity through disruption of biochemical and physical barriers to T-cell trafficking to tumors, PLoS One. 13, e0207255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Tester AM, Waltham M, Oh SJ, Bae SN, Bills MM, Walker EC, Kern FG, Stetler-Stevenson WG, Lippman ME & Thompson EW (2004) Pro-matrix metalloproteinase-2 transfection increases orthotopic primary growth and experimental metastasis of MDA-MB-231 human breast cancer cells in nude mice, Cancer Res. 64, 652–8. [DOI] [PubMed] [Google Scholar]
- 75.Minn AJ, Gupta GP, Siegel PM, Bos PD, Shu W, Giri DD, Viale A, Olshen AB, Gerald WL & Massague J (2005) Genes that mediate breast cancer metastasis to lung, Nature. 436, 518–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Albrengues J, Shields MA, Ng D, Park CG, Ambrico A, Poindexter ME, Upadhyay P, Uyeminami DL, Pommier A, Kuttner V, Bruzas E, Maiorino L, Bautista C, Carmona EM, Gimotty PA, Fearon DT, Chang K, Lyons SK, Pinkerton KE, Trotman LC, Goldberg MS, Yeh JT & Egeblad M (2018) Neutrophil extracellular traps produced during inflammation awaken dormant cancer cells in mice, Science. 361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Barney LE, Hall CL, Schwartz AD, Parks AN, Sparages C, Galarza S, Platt MO, Mercurio AM & Peyton SR (2020) Tumor cell-organized fibronectin maintenance of a dormant breast cancer population, Sci Adv. 6, eaaz4157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Bekes EM, Schweighofer B, Kupriyanova TA, Zajac E, Ardi VC, Quigley JP & Deryugina EI (2011) Tumor-recruited neutrophils and neutrophil TIMP-free MMP-9 regulate coordinately the levels of tumor angiogenesis and efficiency of malignant cell intravasation, Am J Pathol. 179, 1455–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Bergers G, Brekken R, McMahon G, Vu TH, Itoh T, Tamaki K, Tanzawa K, Thorpe P, Itohara S, Werb Z & Hanahan D (2000) Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis, Nat Cell Biol. 2, 737–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Deryugina EI, Ratnikov BI & Strongin AY (2003) Prinomastat, a hydroxamate inhibitor of matrix metalloproteinases, has a complex effect on migration of breast carcinoma cells, Int J Cancer. 104, 533–41. [DOI] [PubMed] [Google Scholar]
- 81.Martin MD, Carter KJ, Jean-Philippe SR, Chang M, Mobashery S, Thiolloy S, Lynch CC, Matrisian LM & Fingleton B (2008) Effect of ablation or inhibition of stromal matrix metalloproteinase-9 on lung metastasis in a breast cancer model is dependent on genetic background, Cancer Res. 68, 6251–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Hallett MA, Teng B, Hasegawa H, Schwab LP, Seagroves TN & Pourmotabbed T (2013) Anti-matrix metalloproteinase-9 DNAzyme decreases tumor growth in the MMTV-PyMT mouse model of breast cancer, Breast Cancer Res. 15, R12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Mira E, Lacalle RA, Buesa JM, de Buitrago GG, Jimenez-Baranda S, Gomez-Mouton C, Martinez AC & Manes S (2004) Secreted MMP9 promotes angiogenesis more efficiently than constitutive active MMP9 bound to the tumor cell surface, J Cell Sci. 117, 1847–57. [DOI] [PubMed] [Google Scholar]
- 84.Brooks PC, Silletti S, von Schalscha TL, Friedlander M & Cheresh DA (1998) Disruption of angiogenesis by PEX, a noncatalytic metalloproteinase fragment with integrin binding activity, Cell. 92, 391–400. [DOI] [PubMed] [Google Scholar]
- 85.Djonov V, Cresto N, Aebersold DM, Burri PH, Altermatt HJ, Hristic M, Berclaz G, Ziemiecki A & Andres AC (2002) Tumor cell specific expression of MMP-2 correlates with tumor vascularisation in breast cancer, Int J Oncol. 21, 25–30. [PubMed] [Google Scholar]
- 86.Devy L, Huang L, Naa L, Yanamandra N, Pieters H, Frans N, Chang E, Tao Q, Vanhove M, Lejeune A, van Gool R, Sexton DJ, Kuang G, Rank D, Hogan S, Pazmany C, Ma YL, Schoonbroodt S, Nixon AE, Ladner RC, Hoet R, Henderikx P, Tenhoor C, Rabbani SA, Valentino ML, Wood CR & Dransfield DT (2009) Selective inhibition of matrix metalloproteinase-14 blocks tumor growth, invasion, and angiogenesis, Cancer Res. 69, 1517–26. [DOI] [PubMed] [Google Scholar]
- 87.Wei X, Chen Y, Jiang X, Peng M, Liu Y, Mo Y, Ren D, Hua Y, Yu B, Zhou Y, Liao Q, Wang H, Xiang B, Zhou M, Li X, Li G, Li Y, Xiong W & Zeng Z (2021) Mechanisms of vasculogenic mimicry in hypoxic tumor microenvironments, Mol Cancer. 20, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Liu TJ, Sun BC, Zhao XL, Zhao XM, Sun T, Gu Q, Yao Z, Dong XY, Zhao N & Liu N (2013) CD133+ cells with cancer stem cell characteristics associates with vasculogenic mimicry in triple-negative breast cancer, Oncogene. 32, 544–53. [DOI] [PubMed] [Google Scholar]
- 89.Andonegui-Elguera MA, Alfaro-Mora Y, Caceres-Gutierrez R, Caro-Sanchez CHS, Herrera LA & Diaz-Chavez J (2020) An Overview of Vasculogenic Mimicry in Breast Cancer, Front Oncol. 10, 220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Barcus CE, Keely PJ, Eliceiri KW & Schuler LA (2013) Stiff collagen matrices increase tumorigenic prolactin signaling in breast cancer cells, J Biol Chem. 288, 12722–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Das A, Monteiro M, Barai A, Kumar S & Sen S (2017) MMP proteolytic activity regulates cancer invasiveness by modulating integrins, Sci Rep-Uk. 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Kobayashi T, Kim H, Liu X, Sugiura H, Kohyama T, Fang Q, Wen FQ, Abe S, Wang X, Atkinson JJ, Shipley JM, Senior RM & Rennard SI (2014) Matrix metalloproteinase-9 activates TGF-beta and stimulates fibroblast contraction of collagen gels, Am J Physiol Lung Cell Mol Physiol. 306, L1006–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Schenk S, Hintermann E, Bilban M, Koshikawa N, Hojilla C, Khokha R & Quaranta V (2003) Binding to EGF receptor of a laminin-5 EGF-like fragment liberated during MMP-dependent mammary gland involution, J Cell Biol. 161, 197–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Li W, Liu Z, Zhao C & Zhai L (2015) Binding of MMP-9-degraded fibronectin to beta6 integrin promotes invasion via the FAK-Src-related Erk1/2 and PI3K/Akt/Smad-1/5/8 pathways in breast cancer, Oncol Rep. 34, 1345–52. [DOI] [PubMed] [Google Scholar]
- 95.Levi E, Fridman R, Miao HQ, Ma YS, Yayon A & Vlodavsky I (1996) Matrix metalloproteinase 2 releases active soluble ectodomain of fibroblast growth factor receptor 1, Proc Natl Acad Sci U S A. 93, 7069–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Hanneken A, Mercado M & Maher P (2021) Constitutive and Regulated Shedding of Soluble FGF Receptors Releases Biologically Active Inhibitors of FGF-2, Int J Mol Sci. 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Jayanth P, Amith SR, Gee K & Szewczuk MR (2010) Neu1 sialidase and matrix metalloproteinase-9 cross-talk is essential for neurotrophin activation of Trk receptors and cellular signaling, Cell Signal. 22, 1193–205. [DOI] [PubMed] [Google Scholar]
- 98.Qorri B, Kalaydina RV, Velickovic A, Kaplya Y, Decarlo A & Szewczuk MR (2018) Agonist-Biased Signaling via Matrix Metalloproteinase-9 Promotes Extracellular Matrix Remodeling, Cells. 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Hanemaaijer R, Verheijen JH, Maguire TM, Visser H, Toet K, McDermott E, O’Higgins N & Duffy MJ (2000) Increased gelatinase-A and gelatinase-B activities in malignant vs. benign breast tumors, Int J Cancer. 86, 204–7. [DOI] [PubMed] [Google Scholar]
- 100.Li H, Qiu Z, Li F & Wang C (2017) The relationship between MMP-2 and MMP-9 expression levels with breast cancer incidence and prognosis, Oncol Lett. 14, 5865–5870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Li HC, Cao DC, Liu Y, Hou YF, Wu J, Lu JS, Di GH, Liu G, Li FM, Ou ZL, Jie C, Shen ZZ & Shao ZM (2004) Prognostic value of matrix metalloproteinases (MMP-2 and MMP-9) in patients with lymph node-negative breast carcinoma, Breast Cancer Res Treat. 88, 75–85. [DOI] [PubMed] [Google Scholar]
- 102.Pellikainen JM, Ropponen KM, Kataja VV, Kellokoski JK, Eskelinen MJ & Kosma VM (2004) Expression of matrix metalloproteinase (MMP)-2 and MMP-9 in breast cancer with a special reference to activator protein-2, HER2, and prognosis, Clin Cancer Res. 10, 7621–8. [DOI] [PubMed] [Google Scholar]
- 103.Jezierska A & Motyl T (2009) Matrix metalloproteinase-2 involvement in breast cancer progression: a mini-review, Med Sci Monit. 15, RA32–40. [PubMed] [Google Scholar]
- 104.Talvensaari-Mattila A, Paakko P & Turpeenniemi-Hujanen T (2003) Matrix metalloproteinase-2 (MMP-2) is associated with survival in breast carcinoma, Br J Cancer. 89, 1270–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Hirvonen R, Talvensaari-Mattila A, Paakko P & Turpeenniemi-Hujanen T (2003) Matrix metalloproteinase-2 (MMP-2) in T(1–2)N0 breast carcinoma, Breast Cancer Res Treat. 77, 85–91. [DOI] [PubMed] [Google Scholar]
- 106.Chen Y, Wang X, Chen G, Dong C & Zhang D (2015) The impact of matrix metalloproteinase 2 on prognosis and clinicopathology of breast cancer patients: a systematic meta-analysis, PLoS One. 10, e0121404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.McGowan PM & Duffy MJ (2008) Matrix metalloproteinase expression and outcome in patients with breast cancer: analysis of a published database, Ann Oncol. 19, 1566–72. [DOI] [PubMed] [Google Scholar]
- 108.Roy DM & Walsh LA (2014) Candidate prognostic markers in breast cancer: focus on extracellular proteases and their inhibitors, Breast Cancer (Dove Med Press). 6, 81–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.van ‘t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R & Friend SH (2002) Gene expression profiling predicts clinical outcome of breast cancer, Nature. 415, 530–6. [DOI] [PubMed] [Google Scholar]
- 110.Joseph C, Alsaleem M, Orah N, Narasimha PL, Miligy IM, Kurozumi S, Ellis IO, Mongan NP, Green AR & Rakha EA (2020) Elevated MMP9 expression in breast cancer is a predictor of shorter patient survival, Breast Cancer Res Treat. 182, 267–282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Gonzalez LO, Pidal I, Junquera S, Corte MD, Vazquez J, Rodriguez JC, Lamelas ML, Merino AM, Garcia-Muniz JL & Vizoso FJ (2007) Overexpression of matrix metalloproteinases and their inhibitors in mononuclear inflammatory cells in breast cancer correlates with metastasis-relapse, Br J Cancer. 97, 957–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Kalavska K, Cierna Z, Karaba M, Minarik G, Benca J, Sedlackova T, Kolekova D, Mrvova I, Pindak D, Mardiak J & Mego M (2021) Prognostic role of matrix metalloproteinase 9 in early breast cancer, Oncol Lett. 21, 78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Vizoso FJ, Gonzalez LO, Corte MD, Rodriguez JC, Vazquez J, Lamelas ML, Junquera S, Merino AM & Garcia-Muniz JL (2007) Study of matrix metalloproteinases and their inhibitors in breast cancer, Br J Cancer. 96, 903–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Wu ZS, Wu Q, Yang JH, Wang HQ, Ding XD, Yang F & Xu XC (2008) Prognostic significance of MMP-9 and TIMP-1 serum and tissue expression in breast cancer, Int J Cancer. 122, 2050–6. [DOI] [PubMed] [Google Scholar]
- 115.Provatopoulou X, Gounaris A, Kalogera E, Zagouri F, Flessas I, Goussetis E, Nonni A, Papassotiriou I & Zografos G (2009) Circulating levels of matrix metalloproteinase-9 (MMP-9), neutrophil gelatinase-associated lipocalin (NGAL) and their complex MMP-9/NGAL in breast cancer disease, BMC Cancer. 9, 390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Thorsen SB, Christensen SL, Wurtz SO, Lundberg M, Nielsen BS, Vinther L, Knowles M, Gee N, Fredriksson S, Moller S, Brunner N, Schrohl AS & Stenvang J (2013) Plasma levels of the MMP-9:TIMP-1 complex as prognostic biomarker in breast cancer: a retrospective study, BMC Cancer. 13, 598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Iyer RP, Patterson NL, Fields GB & Lindsey ML (2012) The history of matrix metalloproteinases: milestones, myths, and misperceptions, Am J Physiol Heart Circ Physiol. 303, H919–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Rasmussen HS & McCann PP (1997) Matrix metalloproteinase inhibition as a novel anticancer strategy: a review with special focus on batimastat and marimastat, Pharmacol Ther. 75, 69–75. [DOI] [PubMed] [Google Scholar]
- 119.Vandenbroucke RE & Libert C (2014) Is there new hope for therapeutic matrix metalloproteinase inhibition?, Nat Rev Drug Discov. 13, 904–27. [DOI] [PubMed] [Google Scholar]
- 120.Shoari A (2025) From Bench to Bedside: Transforming Cancer Therapy with Protease Inhibitors, Targets. 3, 8. [Google Scholar]
- 121.Hidalgo M & Eckhardt SG (2001) Development of matrix metalloproteinase inhibitors in cancer therapy, J Natl Cancer Inst. 93, 178–93. [DOI] [PubMed] [Google Scholar]
- 122.Sparano JA, Bernardo P, Stephenson P, Gradishar WJ, Ingle JN, Zucker S & Davidson NE (2004) Randomized phase III trial of marimastat versus placebo in patients with metastatic breast cancer who have responding or stable disease after first-line chemotherapy: Eastern Cooperative Oncology Group trial E2196, J Clin Oncol. 22, 4683–90. [DOI] [PubMed] [Google Scholar]
- 123.Wojtowicz-Praga S, Torri J, Johnson M, Steen V, Marshall J, Ness E, Dickson R, Sale M, Rasmussen HS, Chiodo TA & Hawkins MJ (1998) Phase I trial of Marimastat, a novel matrix metalloproteinase inhibitor, administered orally to patients with advanced lung cancer, J Clin Oncol. 16, 2150–6. [DOI] [PubMed] [Google Scholar]
- 124.Wojtowicz-Praga SM, Dickson RB & Hawkins MJ (1997) Matrix metalloproteinase inhibitors, Invest New Drugs. 15, 61–75. [DOI] [PubMed] [Google Scholar]
- 125.Nozaki S, Sissons S, Chien DS & Sledge GW Jr. (2003) Activity of biphenyl matrix metalloproteinase inhibitor BAY 12–9566 in a human breast cancer orthotopic model, Clin Exp Metastasis. 20, 407–12. [DOI] [PubMed] [Google Scholar]
- 126.Heath EI, O’Reilly S, Humphrey R, Sundaresan P, Donehower RC, Sartorius S, Kennedy MJ, Armstrong DK, Carducci MA, Sorensen JM, Kumor K, Kennedy S & Grochow LB (2001) Phase I trial of the matrix metalloproteinase inhibitor BAY12–9566 in patients with advanced solid tumors, Cancer Chemother Pharmacol. 48, 269–74. [DOI] [PubMed] [Google Scholar]
- 127.Nelson AR, Fingleton B, Rothenberg ML & Matrisian LM (2000) Matrix metalloproteinases: biologic activity and clinical implications, J Clin Oncol. 18, 1135–49. [DOI] [PubMed] [Google Scholar]
- 128.Shalinsky DR, Brekken J, Zou H, McDermott CD, Forsyth P, Edwards D, Margosiak S, Bender S, Truitt G, Wood A, Varki NM & Appelt K (1999) Broad antitumor and antiangiogenic activities of AG3340, a potent and selective MMP inhibitor undergoing advanced oncology clinical trials, Ann N Y Acad Sci. 878, 236–70. [DOI] [PubMed] [Google Scholar]
- 129.Heath EI, Burtness BA, Kleinberg L, Salem RR, Yang SC, Heitmiller RF, Canto MI, Knisely JP, Topazian M, Montgomery E, Tsottles N, Pithavala Y, Rohmiller B, Collier M & Forastiere AA (2006) Phase II, parallel-design study of preoperative combined modality therapy and the matrix metalloprotease (mmp) inhibitor prinomastat in patients with esophageal adenocarcinoma, Invest New Drugs. 24, 135–40. [DOI] [PubMed] [Google Scholar]
- 130.Ferrante K, Winograd B & Canetta R (1999) Promising new developments in cancer chemotherapy, Cancer Chemother Pharmacol. 43 Suppl, S61–8. [DOI] [PubMed] [Google Scholar]
- 131.Miller KD, Saphner TJ, Waterhouse DM, Chen TT, Rush-Taylor A, Sparano JA, Wolff AC, Cobleigh MA, Galbraith S & Sledge GW (2004) A randomized phase II feasibility trial of BMS-275291 in patients with early stage breast cancer, Clin Cancer Res. 10, 1971–5. [DOI] [PubMed] [Google Scholar]
- 132.Shoari A, Ashja Ardalan A, Dimesa AM & Coban MA (2024) Targeting Invasion: The Role of MMP-2 and MMP-9 Inhibition in Colorectal Cancer Therapy, Biomolecules. 15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Auge F, Hornebeck W & Laronze JY (2004) A novel strategy for designing specific gelatinase A inhibitors: potential use to control tumor progression, Crit Rev Oncol Hematol. 49, 277–82. [DOI] [PubMed] [Google Scholar]
- 134.Meisel JE & Chang M (2017) Selective small-molecule inhibitors as chemical tools to define the roles of matrix metalloproteinases in disease, Biochim Biophys Acta Mol Cell Res. 1864, 2001–2014. [DOI] [PubMed] [Google Scholar]
- 135.Aitchison EE, Dimesa AM & Shoari A (2025) Matrix Metalloproteinases in Glioma: Drivers of Invasion and Therapeutic Targets, BioTech (Basel). 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Ye Y, Kuang X, Xie Z, Liang L, Zhang Z, Zhang Y, Ma F, Gao Q, Chang R, Lee HH, Zhao S, Su J, Li H, Peng J, Chen H, Yin M, Peng C, Yang N, Wang J, Liu J, Liu H, Han L & Chen X (2020) Small-molecule MMP2/MMP9 inhibitor SB-3CT modulates tumor immune surveillance by regulating PD-L1, Genome Med. 12, 83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Gooyit M, Lee M, Schroeder VA, Ikejiri M, Suckow MA, Mobashery S & Chang M (2011) Selective water-soluble gelatinase inhibitor prodrugs, J Med Chem. 54, 6676–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Marusak C, Bayles I, Ma J, Gooyit M, Gao M, Chang M & Bedogni B (2016) The thiirane-based selective MT1-MMP/MMP2 inhibitor ND-322 reduces melanoma tumor growth and delays metastatic dissemination, Pharmacol Res. 113, 515–520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Scannevin RH, Alexander R, Haarlander TM, Burke SL, Singer M, Huo C, Zhang YM, Maguire D, Spurlino J, Deckman I, Carroll KI, Lewandowski F, Devine E, Dzordzorme K, Tounge B, Milligan C, Bayoumy S, Williams R, Schalk-Hihi C, Leonard K, Jackson P, Todd M, Kuo LC & Rhodes KJ (2017) Discovery of a highly selective chemical inhibitor of matrix metalloproteinase-9 (MMP-9) that allosterically inhibits zymogen activation, J Biol Chem. 292, 17963–17974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Dahl R, Titlestad I, Lindqvist A, Wielders P, Wray H, Wang M, Samuelsson V, Mo J & Holt A (2012) Effects of an oral MMP-9 and −12 inhibitor, AZD1236, on biomarkers in moderate/severe COPD: a randomised controlled trial, Pulm Pharmacol Ther. 25, 169–77. [DOI] [PubMed] [Google Scholar]
- 141.Hariono M, Nuwarda RF, Yusuf M, Rollando R, Jenie RI, Al-Najjar B, Julianus J, Putra KC, Nugroho ES, Wisnumurti YK, Dewa SP, Jati BW, Tiara R, Ramadani RD, Qodria L & Wahab HA (2020) Arylamide as Potential Selective Inhibitor for Matrix Metalloproteinase 9 (MMP9): Design, Synthesis, Biological Evaluation, and Molecular Modeling, J Chem Inf Model. 60, 349–359. [DOI] [PubMed] [Google Scholar]
- 142.Ayoup MS, Fouad MA, Abdel-Hamid H, Ramadan ES, Abu-Serie MM, Noby A & Teleb M (2020) Battle tactics against MMP-9; discovery of novel non-hydroxamate MMP-9 inhibitors endowed with PI3K/AKT signaling attenuation and caspase 3/7 activation via Ugi bis-amide synthesis, Eur J Med Chem. 186, 111875. [DOI] [PubMed] [Google Scholar]
- 143.Haiba NS, Khalil HH, Bergas A, Abu-Serie MM, Khattab SN & Teleb M (2022) First-in-Class Star-Shaped Triazine Dendrimers Endowed with MMP-9 Inhibition and VEGF Suppression Capacity: Design, Synthesis, and Anticancer Evaluation, ACS Omega. 7, 21131–21144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Tandon A & Sinha S (2011) Structural insights into the binding of MMP9 inhibitors, Bioinformation. 5, 310–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Kalva S, Agrawal N, Skelton AA & Saleena LM (2016) Identification of novel selective MMP-9 inhibitors as potential anti-metastatic lead using structure-based hierarchical virtual screening and molecular dynamics simulation, Mol Biosyst. 12, 2519–31. [DOI] [PubMed] [Google Scholar]
- 146.Medeiros Turra K, Pineda Rivelli D, Berlanga de Moraes Barros S & Mesquita Pasqualoto KF (2016) Constructing and Validating 3D-pharmacophore Models to a Set of MMP-9 Inhibitors for Designing Novel Anti-melanoma Agents, Mol Inform. 35, 238–52. [DOI] [PubMed] [Google Scholar]
- 147.Chunarkar-Patil P, Kaleem M, Mishra R, Ray S, Ahmad A, Verma D, Bhayye S, Dubey R, Singh HN & Kumar S (2024) Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies, Biomedicines. 12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Deng R, Zong GF, Wang X, Yue BJ, Cheng P, Tao RZ, Li X, Wei ZH & Lu Y (2025) Promises of natural products as clinical applications for cancer, Biochim Biophys Acta Rev Cancer. 1880, 189241. [DOI] [PubMed] [Google Scholar]
- 149.Latronico T, Petraglia T, Sileo C, Bilancia D, Rossano R & Liuzzi GM (2024) Inhibition of MMP-2 and MMP-9 by Dietary Antioxidants in THP-1 Macrophages and Sera from Patients with Breast Cancer, Molecules. 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Vempati RK & Malla RR (2025) Sanguinarine targets the catalytic domain of MMP-9: Molecular dynamics and studies in MDA-MB 468 breast cancer cells, Gene Rep. 39. [Google Scholar]
- 151.Kalva S, Azhagiya Singam ER, Rajapandian V, Saleena LM & Subramanian V (2014) Discovery of potent inhibitor for matrix metalloproteinase-9 by pharmacophore based modeling and dynamics simulation studies, J Mol Graph Model. 49, 25–37. [DOI] [PubMed] [Google Scholar]
- 152.Zahavi D & Weiner L (2020) Monoclonal Antibodies in Cancer Therapy, Antibodies (Basel). 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Marshall DC, Lyman SK, McCauley S, Kovalenko M, Spangler R, Liu C, Lee M, O’Sullivan C, Barry-Hamilton V, Ghermazien H, Mikels-Vigdal A, Garcia CA, Jorgensen B, Velayo AC, Wang R, Adamkewicz JI & Smith V (2015) Selective Allosteric Inhibition of MMP9 Is Efficacious in Preclinical Models of Ulcerative Colitis and Colorectal Cancer, PLoS One. 10, e0127063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.ClinicalTrials.gov (2013) A Phase 1 Study of Andecaliximab (GS-5745) in Subjects With Advanced Solid Tumors in, U.S. National Library of Medicine,
- 155.Shah MA, Bodoky G, Starodub A, Cunningham D, Yip D, Wainberg ZA, Bendell J, Thai D, He J, Bhargava P & Ajani JA (2021) Phase III Study to Evaluate Efficacy and Safety of Andecaliximab With mFOLFOX6 as First-Line Treatment in Patients With Advanced Gastric or GEJ Adenocarcinoma (GAMMA-1), J Clin Oncol. 39, 990–1000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Hamilton EP, Bessudo A, Bruetman D, Gordon MS, Patel R, Adewoye AH, Liu J, Starodub A & Patel MR (2018) Results from a phase I study of andecaliximab in combination with paclitaxel in patients with previously untreated metastatic breast cancer in, American Society of Clinical Oncology,
- 157.Deleon-Pennell KY, Altara R, Yabluchanskiy A, Modesti A & Lindsey ML (2015) The circular relationship between matrix metalloproteinase-9 and inflammation following myocardial infarction, IUBMB Life. 67, 611–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Gordon CR, Rojavin Y, Patel M, Zins JE, Grana G, Kann B, Simons R & Atabek U (2009) A review on bevacizumab and surgical wound healing: an important warning to all surgeons, Ann Plast Surg. 62, 707–9. [DOI] [PubMed] [Google Scholar]
- 159.Denney H, Clench MR & Woodroofe MN (2009) Cleavage of chemokines CCL2 and CXCL10 by matrix metalloproteinases-2 and −9: implications for chemotaxis, Biochem Biophys Res Commun. 382, 341–7. [DOI] [PubMed] [Google Scholar]
- 160.Shoari A, Tahmasebi M, Khodabakhsh F, Cohan RA, Oghalaie A & Behdani M (2022) Angiogenic biomolecules specific nanobodies application in cancer imaging and therapy; review and updates, Int Immunopharmacol. 105, 108585. [DOI] [PubMed] [Google Scholar]
- 161.Marturano A, Hendrickx MLV, Falcinelli E, Sebastiano M, Guglielmini G, Hassanzadeh-Ghassabeh G, Muyldermans S, Declerck PJ & Gresele P (2020) Development of anti-matrix metalloproteinase-2 (MMP-2) nanobodies as potential therapeutic and diagnostic tools, Nanomedicine. 24, 102103. [DOI] [PubMed] [Google Scholar]
- 162.Jani M, Tordai H, Trexler M, Bányai L & Patthy L (2005) Hydroxamate-based peptide inhibitors of matrix metalloprotease 2, Biochimie. 87, 385–392. [DOI] [PubMed] [Google Scholar]
- 163.Shoari A, Rasaee MJ, Kanavi MR & Daraei B (2019) Functional mimetic peptide discovery isolated by phage display interacts selectively to fibronectin domain and inhibits gelatinase, J Cell Biochem. 120, 19699–19711. [DOI] [PubMed] [Google Scholar]
- 164.Shoari A, Khalili S, Rasaee MJ & Löwik DWPM (2022) A Phage Display Derived Cyclized Peptide Inhibits Fibrosarcoma Cells Invasion via Suppression of MMP-9 Activity, Int J Pept Res Ther. 28. [Google Scholar]
- 165.Hanaoka H, Mukai T, Habashita S, Asano D, Ogawa K, Kuroda Y, Akizawa H, Iida Y, Endo K, Saga T & Saji H (2007) Chemical design of a radiolabeled gelatinase inhibitor peptide for the imaging of gelatinase activity in tumors, Nucl Med Biol. 34, 503–510. [DOI] [PubMed] [Google Scholar]
- 166.Shoari A, Khalili-Tanha G, Coban MA & Radisky ES (2023) Structure and computation-guided yeast surface display for the evolution of TIMP-based matrix metalloproteinase inhibitors, Front Mol Biosci. 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Arkadash V, Radisky ES & Papo N (2018) Combinatorial engineering of N-TIMP2 variants that selectively inhibit MMP9 and MMP14 function in the cell, Oncotarget. 9, 32036–32053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Rotenberg N, Feldman M, Shirian J, Hockla A, Radisky ES & Shifman JM (2024) Engineered TIMP2 with narrow MMP-9 specificity is an effective inhibitor of invasion and proliferation of triple-negative breast cancer cells, J Biol Chem. 300, 107867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Arkadash V, Yosef G, Shirian J, Cohen I, Horev Y, Grossman M, Sagi I, Radisky ES, Shifman JM & Papo N (2017) Development of High Affinity and High Specificity Inhibitors of Matrix Metalloproteinase 14 through Computational Design and Directed Evolution, J Biol Chem. 292, 3481–3495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Yosef G, Arkadash V & Papo N (2018) Targeting the MMP-14/MMP-2/integrin alpha(v)beta(3) axis with multispecific N-TIMP2-based antagonists for cancer therapy, J Biol Chem. 293, 13310–13326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Raeeszadeh-Sarmazdeh M, Greene KA, Sankaran B, Downey GP, Radisky DC & Radisky ES (2019) Directed evolution of the metalloproteinase inhibitor TIMP-1 reveals that its N- and C-terminal domains cooperate in matrix metalloproteinase recognition, J Biol Chem. 294, 9476–9488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Raeeszadeh-Sarmazdeh M, Coban M, Mahajan S, Hockla A, Sankaran B, Downey GP, Radisky DC & Radisky ES (2022) Engineering of tissue inhibitor of metalloproteinases TIMP-1 for fine discrimination between closely related stromelysins MMP-3 and MMP-10, J Biol Chem. 298, 101654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Shoari A, Coban MA, Hockla A, Rezhdo A, Dimesa AM, Raeeszadeh-Sarmazdeh M, Van Deventer JA & Radisky ES (2025) Directed evolution of metalloproteinase inhibitor TIMP-1 for selective inhibition of MMP-9 exploits catalytic and fibronectin domain interactions, J Biol Chem. 301, 110258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Batra J, Robinson J, Mehner C, Hockla A, Miller E, Radisky DC & Radisky ES (2012) PEGylation extends circulation half-life while preserving in vitro and in vivo activity of tissue inhibitor of metalloproteinases-1 (TIMP-1), PLoS One. 7, e50028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Shirian J, Hockla A, Gleba JJ, Coban M, Rotenberg N, Strik LM, Alasonyalilar Demirer A, Pawlush ML, Copland JA, Radisky ES & Shifman JM (2024) Improving Circulation Half-Life of Therapeutic Candidate N-TIMP2 by Unfolded Peptide Extension, Biomolecules. 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Yao J, Xiong S, Klos K, Nguyen N, Grijalva R, Li P & Yu D (2001) Multiple signaling pathways involved in activation of matrix metalloproteinase-9 (MMP-9) by heregulin-beta1 in human breast cancer cells, Oncogene. 20, 8066–74. [DOI] [PubMed] [Google Scholar]
- 177.Suarez-Cuervo C, Merrell MA, Watson L, Harris KW, Rosenthal EL, Vaananen HK & Selander KS (2004) Breast cancer cells with inhibition of p38alpha have decreased MMP-9 activity and exhibit decreased bone metastasis in mice, Clin Exp Metastasis. 21, 525–33. [DOI] [PubMed] [Google Scholar]
- 178.Lee SO, Jeong YJ, Im HG, Kim CH, Chang YC & Lee IS (2007) Silibinin suppresses PMA-induced MMP-9 expression by blocking the AP-1 activation via MAPK signaling pathways in MCF-7 human breast carcinoma cells, Biochem Biophys Res Commun. 354, 165–71. [DOI] [PubMed] [Google Scholar]
- 179.Kim S, Choi JH, Lim HI, Lee SK, Kim WW, Kim JS, Kim JH, Choe JH, Yang JH, Nam SJ & Lee JE (2009) Silibinin prevents TPA-induced MMP-9 expression and VEGF secretion by inactivation of the Raf/MEK/ERK pathway in MCF-7 human breast cancer cells, Phytomedicine. 16, 573–80. [DOI] [PubMed] [Google Scholar]
- 180.Oh SJ, Jung SP, Han J, Kim S, Kim JS, Nam SJ, Lee JE & Kim JH (2013) Silibinin inhibits TPA-induced cell migration and MMP-9 expression in thyroid and breast cancer cells, Oncol Rep. 29, 1343–8. [DOI] [PubMed] [Google Scholar]
- 181.Kim S, Kim SH, Hur SM, Lee SK, Kim WW, Kim JS, Kim JH, Choe JH, Nam SJ, Lee JE & Yang JH (2009) Silibinin prevents TPA-induced MMP-9 expression by down-regulation of COX-2 in human breast cancer cells, J Ethnopharmacol. 126, 252–7. [DOI] [PubMed] [Google Scholar]
- 182.Kim S, Han J, Lee SK, Choi MY, Kim J, Lee J, Jung SP, Kim JS, Kim JH, Choe JH, Lee JE & Nam SJ (2012) Berberine suppresses the TPA-induced MMP-1 and MMP-9 expressions through the inhibition of PKC-alpha in breast cancer cells, J Surg Res. 176, e21–9. [DOI] [PubMed] [Google Scholar]
- 183.Kim S, Choi JH, Kim JB, Nam SJ, Yang JH, Kim JH & Lee JE (2008) Berberine suppresses TNF-alpha-induced MMP-9 and cell invasion through inhibition of AP-1 activity in MDA-MB-231 human breast cancer cells, Molecules. 13, 2975–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Sun Y, Wang X, Zhou Q, Lu Y, Zhang H, Chen Q, Zhao M & Su S (2015) Inhibitory effect of emodin on migration, invasion and metastasis of human breast cancer MDA-MB-231 cells in vitro and in vivo, Oncol Rep. 33, 338–46. [DOI] [PubMed] [Google Scholar]
- 185.Wang X, Nagase H, Watanabe T, Nobusue H, Suzuki T, Asami Y, Shinojima Y, Kawashima H, Takagi K, Mishra R, Igarashi J, Kimura M, Takayama T, Fukuda N & Sugiyama H (2010) Inhibition of MMP-9 transcription and suppression of tumor metastasis by pyrrole-imidazole polyamide, Cancer Sci. 101, 759–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Lee YR, Noh EM, Oh HJ, Hur H, Kim JM, Han JH, Hwang JK, Park BH, Park JW, Youn HJ, Jung SH, Kim BS, Jung JY, Lee SH, Park CS & Kim JS (2011) Dihydroavenanthramide D inhibits human breast cancer cell invasion through suppression of MMP-9 expression, Biochem Biophys Res Commun. 405, 552–7. [DOI] [PubMed] [Google Scholar]
- 187.Kim JM, Noh EM, Kwon KB, Kim JS, You YO, Hwang JK, Hwang BM, Kim BS, Lee SH, Lee SJ, Jung SH, Youn HJ & Lee YR (2012) Curcumin suppresses the TPA-induced invasion through inhibition of PKCalpha-dependent MMP-expression in MCF-7 human breast cancer cells, Phytomedicine. 19, 1085–92. [DOI] [PubMed] [Google Scholar]
- 188.Kim SJ, Pham TH, Bak Y, Ryu HW, Oh SR & Yoon DY (2018) Orientin inhibits invasion by suppressing MMP-9 and IL-8 expression via the PKCalpha/ERK/AP-1/STAT3-mediated signaling pathways in TPA-treated MCF-7 breast cancer cells, Phytomedicine. 50, 35–42. [DOI] [PubMed] [Google Scholar]
- 189.Hong OY, Jang HY, Park KH, Jeong YJ, Kim JS & Chae HS (2021) Triptolide inhibits matrix metalloproteinase-9 expression and invasion of breast cancer cells through the inhibition of NF-kappaB and AP-1 signaling pathways, Oncol Lett. 22, 562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.Kim Y, Kang H, Jang SW & Ko J (2011) Celastrol inhibits breast cancer cell invasion via suppression of NF-kB-mediated matrix metalloproteinase-9 expression, Cell Physiol Biochem. 28, 175–84. [DOI] [PubMed] [Google Scholar]
- 191.Lee SO, Jeong YJ, Kim M, Kim CH & Lee IS (2008) Suppression of PMA-induced tumor cell invasion by capillarisin via the inhibition of NF-kappaB-dependent MMP-9 expression, Biochem Biophys Res Commun. 366, 1019–24. [DOI] [PubMed] [Google Scholar]
- 192.Im NK, Jang WJ, Jeong CH & Jeong GS (2014) Delphinidin suppresses PMA-induced MMP-9 expression by blocking the NF-kappaB activation through MAPK signaling pathways in MCF-7 human breast carcinoma cells, J Med Food. 17, 855–61. [DOI] [PubMed] [Google Scholar]
- 193.Khan S, Shukla S, Sinha S, Lakra AD, Bora HK & Meeran SM (2015) Centchroman suppresses breast cancer metastasis by reversing epithelial-mesenchymal transition via downregulation of HER2/ERK1/2/MMP-9 signaling, Int J Biochem Cell Biol. 58, 1–16. [DOI] [PubMed] [Google Scholar]
- 194.Zong L, Cheng G, Zhao J, Zhuang X, Zheng Z, Liu Z & Song F (2022) Inhibitory Effect of Ursolic Acid on the Migration and Invasion of Doxorubicin-Resistant Breast Cancer, Molecules. 27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Kim JM, Noh EM, Song HK, Lee M, Lee SH, Park SH, Ahn CK, Lee GS, Byun EB, Jang BS, Kwon KB & Lee YR (2017) Salvia miltiorrhiza extract inhibits TPA-induced MMP-9 expression and invasion through the MAPK/AP-1 signaling pathway in human breast cancer MCF-7 cells, Oncol Lett. 14, 3594–3600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Jiang M, Zhang K, Zhang Z, Zeng X, Huang Z, Qin P, Xie Z, Cai X, Ashrafizadeh M, Tian Y & Wei R (2025) PI3K/AKT/mTOR Axis in Cancer: From Pathogenesis to Treatment, MedComm (2020). 6, e70295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Li J, Zhang J, Wang Y, Liang X, Wusiman Z, Yin Y & Shen Q (2017) Synergistic inhibition of migration and invasion of breast cancer cells by dual docetaxel/quercetin-loaded nanoparticles via Akt/MMP-9 pathway, Int J Pharm. 523, 300–309. [DOI] [PubMed] [Google Scholar]
- 198.Ning L, Ma H, Jiang Z, Chen L, Li L, Chen Q & Qi H (2016) Curcumol Suppresses Breast Cancer Cell Metastasis by Inhibiting MMP-9 Via JNK1/2 and Akt-Dependent NF-kappaB Signaling Pathways, Integr Cancer Ther. 15, 216–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Tan H, Zhang M, Xu L, Zhang X & Zhao Y (2022) Gypensapogenin H suppresses tumor growth and cell migration in triple-negative breast cancer by regulating PI3K/AKT/NF-kappaB/MMP-9 signaling pathway, Bioorg Chem. 126, 105913. [DOI] [PubMed] [Google Scholar]
- 200.Tang L, Ma X, Tian Q, Cheng Y, Yao H, Liu Z, Qu X & Han X (2013) Inhibition of angiogenesis and invasion by DMBT is mediated by downregulation of VEGF and MMP-9 through Akt pathway in MDA-MB-231 breast cancer cells, Food Chem Toxicol. 56, 204–13. [DOI] [PubMed] [Google Scholar]
- 201.Yang HL, Thiyagarajan V, Shen PC, Mathew DC, Lin KY, Liao JW & Hseu YC (2019) Anti-EMT properties of CoQ0 attributed to PI3K/AKT/NFKB/MMP-9 signaling pathway through ROS-mediated apoptosis, J Exp Clin Cancer Res. 38, 186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Rao Q, Yu H, Li R, He B, Wang Y, Guo X, Zhao G & Wu F (2024) Dihydroartemisinin inhibits angiogenesis in breast cancer via regulating VEGF and MMP-2/−9, Fundam Clin Pharmacol. 38, 113–125. [DOI] [PubMed] [Google Scholar]
- 203.Sen T, Moulik S, Dutta A, Choudhury PR, Banerji A, Das S, Roy M & Chatterjee A (2009) Multifunctional effect of epigallocatechin-3-gallate (EGCG) in downregulation of gelatinase-A (MMP-2) in human breast cancer cell line MCF-7, Life Sci. 84, 194–204. [DOI] [PubMed] [Google Scholar]
- 204.Ko HS, Lee HJ, Kim SH & Lee EO (2012) Piceatannol suppresses breast cancer cell invasion through the inhibition of MMP-9: involvement of PI3K/AKT and NF-kappaB pathways, J Agric Food Chem. 60, 4083–9. [DOI] [PubMed] [Google Scholar]
- 205.Park JH, Cho YY, Yoon SW & Park B (2016) Suppression of MMP-9 and FAK expression by pomolic acid via blocking of NF-kappaB/ERK/mTOR signaling pathways in growth factor-stimulated human breast cancer cells, Int J Oncol. 49, 1230–40. [DOI] [PubMed] [Google Scholar]
- 206.Song L, Zhang H, Hu M, Liu C, Zhao Y, Zhang S & Liu D (2021) Sinomenine inhibits hypoxia induced breast cancer side population cells metastasis by PI3K/Akt/mTOR pathway, Bioorg Med Chem. 31, 115986. [DOI] [PubMed] [Google Scholar]
- 207.Lee WT, Lee TH, Cheng CH, Chen KC, Chen YC & Lin CW (2015) Antroquinonol from Antrodia Camphorata suppresses breast tumor migration/invasion through inhibiting ERK-AP-1- and AKT-NF-kappaB-dependent MMP-9 and epithelial-mesenchymal transition expressions, Food Chem Toxicol. 78, 33–41. [DOI] [PubMed] [Google Scholar]
- 208.Huang L, Lin H, Chen Q, Yu L & Bai D (2019) MPPa-PDT suppresses breast tumor migration/invasion by inhibiting Akt-NF-kappaB-dependent MMP-9 expression via ROS, BMC Cancer. 19, 1159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Guo Q, Jin Y, Chen X, Ye X, Shen X, Lin M, Zeng C, Zhou T & Zhang J (2024) NF-kappaB in biology and targeted therapy: new insights and translational implications, Signal Transduct Target Ther. 9, 53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Shin SY, Kim CG, Jung YJ, Lim Y & Lee YH (2016) The UPR inducer DPP23 inhibits the metastatic potential of MDA-MB-231 human breast cancer cells by targeting the Akt-IKK-NF-kappaB-MMP-9 axis, Sci Rep. 6, 34134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Liu Y, Cao W, Zhang B, Liu YQ, Wang ZY, Wu YP, Yu XJ, Zhang XD, Ming PH, Zhou GB & Huang L (2013) The natural compound magnolol inhibits invasion and exhibits potential in human breast cancer therapy, Sci Rep. 3, 3098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Ukaji T, Lin Y, Okada S & Umezawa K (2017) Inhibition of MMP-2-mediated cellular invasion by NF-kappaB inhibitor DHMEQ in 3D culture of breast carcinoma MDA-MB-231 cells: A model for early phase of metastasis, Biochem Biophys Res Commun. 485, 76–81. [DOI] [PubMed] [Google Scholar]
- 213.Lee YR, Noh EM, Han JH, Kim JM, Hwang BM, Kim BS, Lee SH, Jung SH, Youn HJ, Chung EY & Kim JS (2013) Sulforaphane controls TPA-induced MMP-9 expression through the NF-kappaB signaling pathway, but not AP-1, in MCF-7 breast cancer cells, BMB Rep. 46, 201–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Kim HR, Kim JM, Kim MS, Hwang JK, Park YJ, Yang SH, Kim HJ, Ryu DG, Lee DS, Oh H, Kim YC, Rhee YJ, Moon BS, Yun JM, Kwon KB & Lee YR (2014) Saussurea lappa extract suppresses TPA-induced cell invasion via inhibition of NF-kappaB-dependent MMP-9 expression in MCF-7 breast cancer cells, BMC Complement Altern Med. 14, 170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Mi C, Shi H, Ma J, Han LZ, Lee JJ & Jin X (2014) Celastrol induces the apoptosis of breast cancer cells and inhibits their invasion via downregulation of MMP-9, Oncol Rep. 32, 2527–32. [DOI] [PubMed] [Google Scholar]
- 216.Liao YF, Rao YK & Tzeng YM (2012) Aqueous extract of Anisomeles indica and its purified compound exerts anti-metastatic activity through inhibition of NF-kappaB/AP-1-dependent MMP-9 activation in human breast cancer MCF-7 cells, Food Chem Toxicol. 50, 2930–6. [DOI] [PubMed] [Google Scholar]
- 217.Park SY, Kim YH, Kim Y & Lee SJ (2012) Frondoside A has an anti-invasive effect by inhibiting TPA-induced MMP-9 activation via NF-kappaB and AP-1 signaling in human breast cancer cells, Int J Oncol. 41, 933–40. [DOI] [PubMed] [Google Scholar]
- 218.Chen YJ, Lee YC, Huang CH & Chang LS (2016) Gallic acid-capped gold nanoparticles inhibit EGF-induced MMP-9 expression through suppression of p300 stabilization and NFkappaB/c-Jun activation in breast cancer MDA-MB-231 cells, Toxicol Appl Pharmacol. 310, 98–107. [DOI] [PubMed] [Google Scholar]
- 219.Zhou R, Xu L, Ye M, Liao M, Du H & Chen H (2014) Formononetin inhibits migration and invasion of MDA-MB-231 and 4T1 breast cancer cells by suppressing MMP-2 and MMP-9 through PI3K/AKT signaling pathways, Horm Metab Res. 46, 753–60. [DOI] [PubMed] [Google Scholar]
- 220.Hwang JK, Yu HN, Noh EM, Kim JM, Hong OY, Youn HJ, Jung SH, Kwon KB, Kim JS & Lee YR (2017) DHA blocks TPA-induced cell invasion by inhibiting MMP-9 expression via suppression of the PPAR-gamma/NF-kappaB pathway in MCF-7 cells, Oncol Lett. 13, 243–249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Shin SY, Kim CG, Jung YJ, Jung Y, Jung H, Im J, Lim Y & Lee YH (2016) Euphorbia humifusa Willd exerts inhibition of breast cancer cell invasion and metastasis through inhibition of TNFalpha-induced MMP-9 expression, BMC Complement Altern Med. 16, 413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Yenmis G, Yaprak Sarac E, Besli N, Soydas T, Tastan C, Dilek Kancagi D, Yilanci M, Senol K, Karagulle OO, Ekmekci CG, Ovali E, Tuncdemir M, Ulutin T & Kanigur Sultuybek G (2021) Anti-cancer effect of metformin on the metastasis and invasion of primary breast cancer cells through mediating NF-kB activity, Acta Histochem. 123, 151709. [DOI] [PubMed] [Google Scholar]
- 223.You KS, Yi YW, Cho J, Park JS & Seong YS (2021) Potentiating Therapeutic Effects of Epidermal Growth Factor Receptor Inhibition in Triple-Negative Breast Cancer, Pharmaceuticals (Basel). 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Kim S, Choi JH, Lim HI, Lee SK, Kim WW, Cho S, Kim JS, Kim JH, Choe JH, Nam SJ, Lee JE & Yang JH (2009) EGF-induced MMP-9 expression is mediated by the JAK3/ERK pathway, but not by the JAK3/STAT-3 pathway in a SKBR3 breast cancer cell line, Cell Signal. 21, 892–8. [DOI] [PubMed] [Google Scholar]
- 225.Wang Y, Lv Z, Chen F, Wang X & Gou S (2021) Conjugates Derived from Lapatinib Derivatives with Cancer Cell Stemness Inhibitors Effectively Reversed Drug Resistance in Triple-Negative Breast Cancer, J Med Chem. 64, 12877–12892. [DOI] [PubMed] [Google Scholar]
- 226.Liu H, Zang C, Fenner MH, Possinger K & Elstner E (2003) PPARgamma ligands and ATRA inhibit the invasion of human breast cancer cells in vitro, Breast Cancer Res Treat. 79, 63–74. [DOI] [PubMed] [Google Scholar]
- 227.Dutta A, Sen T, Banerji A, Das S & Chatterjee A (2009) Studies on Multifunctional Effect of All-Trans Retinoic Acid (ATRA) on Matrix Metalloproteinase-2 (MMP-2) and Its Regulatory Molecules in Human Breast Cancer Cells (MCF-7), J Oncol. 2009, 627840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Jang HY, Hong OY, Youn HJ, Kim MG, Kim CH, Jung SH & Kim JS (2020) 15d-PGJ2 inhibits NF-kappaB and AP-1-mediated MMP-9 expression and invasion of breast cancer cell by means of a heme oxygenase-1-dependent mechanism, BMB Rep. 53, 212–217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Chen YC, Chen JH, Tsai CF, Wu CT, Wu MH, Chang PC & Yeh WL (2021) Nicardipine Inhibits Breast Cancer Migration via Nrf2/HO-1 Axis and Matrix Metalloproteinase-9 Regulation, Front Pharmacol. 12, 710978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Mitropoulou TN, Tzanakakis GN, Kletsas D, Kalofonos HP & Karamanos NK (2003) Letrozole as a potent inhibitor of cell proliferation and expression of metalloproteinases (MMP-2 and MMP-9) by human epithelial breast cancer cells, Int J Cancer. 104, 155–60. [DOI] [PubMed] [Google Scholar]
- 231.Nilsson UW, Garvin S & Dabrosin C (2007) MMP-2 and MMP-9 activity is regulated by estradiol and tamoxifen in cultured human breast cancer cells, Breast Cancer Res Treat. 102, 253–61. [DOI] [PubMed] [Google Scholar]
- 232.Darakhshan S, Bidmeshkipour A, Khazaei M, Rabzia A & Ghanbari A (2013) Synergistic effects of tamoxifen and tranilast on VEGF and MMP-9 regulation in cultured human breast cancer cells, Asian Pac J Cancer Prev. 14, 6869–74. [DOI] [PubMed] [Google Scholar]
- 233.El-Masry TA, El-Nagar MMF, Oriquat GA, Alotaibi BS, Saad HM, El Zahaby EI & Ibrahim HA (2024) Therapeutic efficiency of Tamoxifen/Orlistat nanocrystals against solid ehrlich carcinoma via targeting TXNIP/HIF1-alpha/MMP-9/P27 and BAX/Bcl2/P53 signaling pathways, Biomed Pharmacother. 180, 117429. [DOI] [PubMed] [Google Scholar]
- 234.Quintero-Fabian S, Arreola R, Becerril-Villanueva E, Torres-Romero JC, Arana-Argaez V, Lara-Riegos J, Ramirez-Camacho MA & Alvarez-Sanchez ME (2019) Role of Matrix Metalloproteinases in Angiogenesis and Cancer, Front Oncol. 9, 1370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Melani C, Sangaletti S, Barazzetta FM, Werb Z & Colombo MP (2007) Amino-biphosphonate-mediated MMP-9 inhibition breaks the tumor-bone marrow axis responsible for myeloid-derived suppressor cell expansion and macrophage infiltration in tumor stroma, Cancer Res. 67, 11438–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Sinha S, Khan S, Shukla S, Lakra AD, Kumar S, Das G, Maurya R & Meeran SM (2016) Cucurbitacin B inhibits breast cancer metastasis and angiogenesis through VEGF-mediated suppression of FAK/MMP-9 signaling axis, Int J Biochem Cell Biol. 77, 41–56. [DOI] [PubMed] [Google Scholar]
