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Frontiers in Oncology logoLink to Frontiers in Oncology
. 2021 Jan 26;10:614468. doi: 10.3389/fonc.2020.614468

Inflammation-Driven Breast Tumor Cell Plasticity: Stemness/EMT, Therapy Resistance and Dormancy

Tamir Baram 1,, Linor Rubinstein-Achiasaf 1,, Hagar Ben-Yaakov 1,, Adit Ben-Baruch 1,*
PMCID: PMC7873936  PMID: 33585241

Abstract

Cellular heterogeneity poses an immense therapeutic challenge in cancer due to a constant change in tumor cell characteristics, endowing cancer cells with the ability to dynamically shift between states. Intra-tumor heterogeneity is largely driven by cancer cell plasticity, demonstrated by the ability of malignant cells to acquire stemness and epithelial-to-mesenchymal transition (EMT) properties, to develop therapy resistance and to escape dormancy. These different aspects of cancer cell remodeling are driven by intrinsic as well as by extrinsic signals, the latter being dominated by factors of the tumor microenvironment. As part of the tumor milieu, chronic inflammation is generally regarded as a most influential player that supports tumor development and progression. In this review article, we put together recent findings on the roles of inflammatory elements in driving forward key processes of tumor cell plasticity. Using breast cancer as a representative research system, we demonstrate the critical roles played by inflammation-associated myeloid cells (mainly macrophages), pro-inflammatory cytokines [such as tumor necrosis factor α (TNFα) and interleukin 6 (IL-6)] and inflammatory chemokines [primarily CXCL8 (interleukin 8, IL-8) and CXCL1 (GROα)] in promoting tumor cell remodeling. These inflammatory components form a common thread that is involved in regulation of the three plasticity levels: stemness/EMT, therapy resistance, and dormancy. In view of the fact that inflammatory elements are a common denominator shared by different aspects of tumor cell plasticity, it is possible that their targeting may have a critical clinical benefit for cancer patients.

Keywords: cytokines/chemokines, dormancy, epithelial-to-mesenchymal transition, inflammation, macrophages, stemness, therapy resistance, tumor cell plasticity

Introduction

The global effort to develop improved therapies for cancer patients is an enduring task, partly due to tumor cell heterogeneity that characterizes many different cancer types. The reasons for heterogeneity are diverse and include among others the constant transition of tumor cells between different phenotypic and functional states. Assembled together under the term “cancer cell plasticity”, various types of transition events take place at primary tumors and in metastatic foci (18).

Cancer cell heterogeneity and plasticity are well-documented in breast cancer (BC), where they contribute to immense mechanistic and functional complexity, and have cardinal therapeutic implications (4, 9, 10). As they manifest inter-tumor heterogeneity, breast tumors are categorized in four groups that are differently treated in the clinic, based on the expression of estrogen receptors (ERs), progesterone receptors (PRs) and HER2: luminal-A cancers, where tumors express ER/PR and are HER2-negative (HER2−); luminal-B tumors that are positive for ER/PR and demonstrate HER2 amplification (HER2+) or are ki67-high; HER2+ tumors that do not express ER/PR and demonstrate HER2 over-expression; and triple-negative BCs (TNBCs) that lack the expression of the three receptors: ER, PR and HER2 (1113).

In parallel to inter-tumor heterogeneity, intra-tumor heterogeneity is also highly apparent in BC. Breast tumors can include cancer stem cells (CSCs) and non-CSCs as well (4, 9, 10); some of the cancer cells undergo epithelial-to-mesenchymal transition (EMT) while others do not (10); under certain conditions, cells that develop acquired resistance to different types of therapy are present among the cancer cells (4, 14); and in addition, cancer cells can gain the ability to remain dormant as single or clustered micro-metastasizing cells or exhibit through different modifications the ability to exit dormancy (4, 15).

These different heterogeneity facets are often linked to each other, as seen for example by the connection between CSC and EMT states, by the fact that CSCs are highly resistant to chemotherapy and by the regulation of CSC/EMT and dormancy by chemotherapy (14). Also, they exemplify the high degree of plasticity that characterizes cancer cells. Non-CSCs can turn to CSCs and vice versa (1, 5, 6); cells that have undergone EMT can more efficiently metastasize and then colonize better the metastatic niche if they have completed the opposite process of mesenchymal-to-epithelial transition (MET) (5); therapy-resistance is subject to alterations that have a strong impact on the well-being of patients and their survival, and tumor cells can adapt to stress by entering a dormant phase but can also escape dormancy when conditions change (2, 3, 6).

This dynamic remodeling of the cancer cells depends on cell-autonomous traits (e.g. epigenetics, metabolism, endoplasmic reticulum stress) but in parallel the tumor microenvironment (TME) has substantial ability to shape the phenotypes and functions of the cancer cells and thus dictates the degree of cancer heterogeneity and plasticity (16). In this context, major roles were recently attributed to immune/inflammatory cells and to the factors that mediate their activities (17, 18). The diversity of immune cells and the balance between the acquired immunity arm and the inflammatory arm have prominent impacts on the fate of the tumor and its progression. When acquired immunity is concerned, it is well known that specific cell types, like T helper 1 (Th1) cells and cytotoxic T cells (CTLs) are key players in immune surveillance and their activities may lead to cancer cell eradication; these effects may be strengthened by immunotherapies (e.g., those directed to inhibitory immune checkpoint molecules like PD-1, PD-L1, and CTLA-4) and contribute to tumor suppression (19, 20). However, acquired immunity may also have opposing effects, as demonstrated for example by the ability of Th1-derived interferon γ (IFNγ) to up-regulate inhibitory checkpoint molecules (21), while Th2 cells can release cytokines that divert macrophages to an M2 phenotype that supports tumor progression (22). As expected, different aspects of cancer cell plasticity were shown to be regulated by cells and factors of acquired immunity [e.g., (17, 18, 23, 24)]; however, in view of the many facets of acquired immunity in malignancy, this topic will not be addressed in depth in this review.

In parallel to acquired immunity, myeloid cells and pro-inflammatory products exert a large variety of effects that contribute to increased metastasis and reduced survival, mainly at more advanced stages of tumor progression. Regarded as “The seventh hallmark of cancer”, cancer-related inflammation has a very strong impact on disease progression, contributing to tumor development and metastasis (2528). In view of their critical functions at the TME and their significant impacts on disease course, it is no surprise that inflammatory elements also regulate many cardinal aspects of tumor cell remodeling, as discussed and illustrated in this review article (summarized in Figure 1 and Tables 13).

Figure 1.

Figure 1

The integrated activities of pro-inflammatory cells and soluble pro-inflammatory factors in controlling tumor cell plasticity. The Figure demonstrates the roles of three inflammatory axes in regulating key aspects of cancer cell plasticity: stemness/EMT, therapy resistance and dormancy (see also Tables 13). Based on the findings summarized in this review, it is proposed that therapeutic modalities that target such key inflammatory elements will affect simultaneously several modes of malignant cell plasticity and will therefore provide improved approaches of cancer therapy. The three inflammatory axes addressed in this manuscript include: (1) Inflammation-associated myeloid cells: Here, the main contributors to regulation of tumor cell plasticity are macrophages and monocytes, and also neutrophils. These cells control tumor cell remodeling by forming physical contacts and also by exchanging soluble mediators with the cancer cells. The major elements involved in the activities of myeloid cells include: In green—Pro-inflammatory cytokines; In cyan—Inflammatory chemokines; In brown—Other intracellular components. (2) Pro-inflammatory cytokines: In this context, major roles are attributed mainly to the pro-inflammatory cytokines TNFα and IL-6 (and to some extent also IL-1β), whose activities are mediated mainly by activation of transcription factors (TFs) and up-regulation of inflammatory chemokines. The main elements involved in this axis include: In yellow—Inflammation-related TFs and other TFs; In cyan—Inflammatory chemokines; In brown - Other intracellular components. (3) Inflammatory chemokines: Here, mainly chemokines of the ELR+ CXC sub-group are implicated, primarily CXCL8, CXCL1 and CXCL5; other chemokines such as CCL2 and CCL5 are also involved, as discussed in brief in the manuscript (not shown). In this setting, the major elements involved include: In yellow—Inflammation-related TFs and other TFs; In brown—Other intracellular components.

Table 1.

Inflammation-driven cellular and molecular mechanisms regulating stemness and EMT.

STEMNESS and EMT
Inflammatory element involved Main observations
Myeloid cells
Monocytic cells/
Macrophages/TAMs
* Via physical contacts with cancer cells and through secreted factors, they
increased CSC proportions, as well as EMT and migration.
* The activities of the myeloid cells were mediated by or connected to soluble
factors such as TNFα, IL-6 and ELR+ CXC chemokines (e.g., CXCL8 and CXCL1).
Soluble and cellular mediators
TNFα, IL-6, IL-1β,
ELR+ CXC chemokines
* Inflammatory cytokines sustained CD90+ CSCs in tumor cells, and had a profound
ability to increase tumor cell stemness, EMT and migration.
* The soluble mediators induced predominantly the activation of NF-kB and STAT3.
Activation of HER2/EGFR-Src was also described.
* Regulation of EMT-related transcription factors was induced by the soluble mediators,
or was linked to their activity.

The table summarizes the cellular and molecular components that are involved in inflammation-driven regulation of stemness and EMT. To enable a unifying view of the findings described in different research systems, the table focuses on the major observations described in the text, related to the functions of myeloid cells, pro-inflammatory cytokines and ELR+ CXC chemokines (without CC chemokines).

Table 3.

Inflammation-driven cellular and molecular mechanisms regulating tumor cell dormancy.

DORMANCY  
Inflammatory element involved Main observations
Myeloid cells  
Macrophages, monocytes,
neutrophils
* Myeloid cells were connected to tumor recurrence following surgery and to exit
from dormancy.
* Myeloid cells acted in this respect via soluble mediators like TNFα, IL-1β and VEGF-A,
and through COX enzymes.
Soluble and cellular mediators  
TNFα, IL-1β, IL-6,
ELR+ CXC chemokines,
COX enzymes
* Inflammatory cytokines increased the proliferation of dormant cells, including at the
bone niche.
* TNFα induced chemokine expression via the IKK-NF-kB pathway, and together with
other pro-inflammatory cytokines has led to increased tumor cell proliferation and
exit from dormancy.
* STAT3 was also found to be a key regulator of cytokine activities in dormancy (its
activities depended on the ligand used).
* Stimulation of CXCR2 by its cognate ELR+ chemokines has led to Erk signaling; it
increased cancer cell proliferation under quiescent conditions and promoted
emergence from chemotherapy-induced dormancy.
* COX-2 has led to increased aromatase expression, leading to elevated ERα activity
and tumor cell proliferation.

The table summarizes the cellular and molecular components that are involved in inflammation-driven regulation of cancer cell dormancy. To enable a unifying view of the findings described in different research systems, the Table focuses on the major observations described in the text, related to the functions of myeloid cells, pro-inflammatory cytokines and ELR+ CXC chemokines (without CC chemokines).

Herein, we focus on the inflammatory arena and its impacts on cancer cell plasticity. To demonstrate the activities of inflammatory players in controlling tumor cell remodeling, we highlight their roles in dictating the dynamic nature of tumor cells at the following three major levels of plasticity: (1) Stemness and EMT; (2) Resistance to different types of therapy; (3) Entry to and exit from dormancy (110).

In addressing these three plasticity-related topics, we hereby focus on breast malignancy in order to exemplify the roles of three key inflammatory axes:

(1) Inflammation-associated myeloid cells: Breast tumors are usually characterized by pronounced chronic inflammation and are enriched with different types of myeloid cells. Here, major roles are attributed to tumor-associated macrophages (TAMs) in promoting cancer progression (22, 29). TAMs are typically regarded as alternatively-activated M2 macrophages, but under certain conditions macrophages with a classically-activated M1 phenotype can also have significant roles in promoting cancer progression (3032).

(2) Pro-inflammatory cytokines: Here, we put major emphasis on tumor necrosis factor α (TNFα) and interleukin 6 (IL-6) and the canonical transcription factors that mediate their activities: NF-κB and STAT3, respectively (25, 3335). The chronic presence of TNFα in tumors strongly enhances tumor progression (3640); in parallel, IL-6 is also considered a strong tumor-promoting factor (4143). These elements are well characterized for their ability to enhance tumor progression in many malignancies including BC (35, 36, 38, 4143).

(3) Inflammatory chemokines: Consisting of four structural sub-groups—of which the CXC and the CC are the largest—and homeostatic and/or inflammatory activities, chemokines are key players in protection against pathogens but also have cardinal roles in regulating malignancy (4454). Inflammatory chemokines of the ELR+ CXC sub-group contribute immensely to tumor-related inflammation; they chemoattract leukocytes with pro-malignancy roles to tumors and they can also induce angiogenesis and act directly on the cancer cells, to promote their metastatic potential (4454). Thus, in this review we focus on inflammatory ELR+ CXC chemokines, such as CXCL8 (interleukin 8, IL-8) and CXCL1 (GROα), and we also address their respective receptors: CXCR2 (for both chemokines) and CXCR1 (for CXCL8) (52, 5557). Occasionally, we also describe the involvement of other members of the family of inflammatory chemokines, such as CCL2 (MCP-1) and CCL5 (RANTES).

The different players that will be addressed in this manuscript—myeloid cells and inflammatory factors—are strongly linked to each other at many different manners, when pathogen-related conditions are concerned. For example, macrophages are a major source for TNFα, IL-6 and some of the chemokines (58, 59), and TNFα is a very strong inducer of many inflammatory chemokines (40, 6063). Similarly, also in the tumor plasticity field, these different inflammatory components often play cooperative and simultaneous roles in promoting tumor cell stemness/EMT, therapy resistance, and dormancy in BC, as will be illustrated below.

Inflammation-Driven Stemness and EMT in Breast Malignancy

To successfully complete the consecutive process of tumor cell dissemination, followed by seeding and growth in metastatic niches, cancer cells need to exhibit improved capabilities to cope with the obstacles they encounter along the way. When tumor heterogeneity is closely examined, it is possible to identify cells that have acquired stem cell characteristics and/or underwent EMT, thus demonstrating plasticity that contributes to their ability to better handle the challenges they face during metastasis (6469).

BC cells clearly follow the same paradigm, demonstrating dynamic remodeling that leads to development/selection of cancer stem cells (CSCs) and of tumor cells that have undergone EMT. More so, similar to other cancer cell types, also in BC the two processes are closely linked, as manifested for example by the fact that CSCs often express EMT characteristics (6769). Under these conditions, BC cells benefit from the advantages provided by these two properties together and express higher ability to metastasize and resist different therapeutic modalities (6769).

In the context of cancer cell plasticity, stemness and EMT processes have a major influence on the functional state of cancer cells. Stemness in BC is mainly identified by increased presence of CD44+/CD24− cells or CD44+/CD24− low cells, and ALDH+ cells; by the expression of stemness genes and/or by the ability of the tumor cells to form mammospheres (tumor spheres). CSCs are also greatly connected to increased therapy resistance, particularly in response to chemotherapy (5, 9, 70, 71).

In parallel, EMT is characterized by the acquisition of mesenchymal morphology; reduced expression of E-cadherin; increased expression of N-cadherin, vimentin and/or fibronectin; and elevated expression of EMT regulators such as twist, snail, slug and zeb (5, 10, 70, 71). As expected, the EMT process is often accompanied by elevated migratory and invasive properties of the cancer cells (70, 71).

As illustrated below, inflammatory cells and soluble mediators have prominent roles in regulating stemness and EMT in breast cancer, often with interactions between the different players (summarized in Figure 1 and Table 1).

Inflammation-Associated Myeloid Cells Regulating Stemness and EMT

Macrophages form an important hub, converging the functions of many regulators of stemness and EMT. The impact of macrophages and of the factors they release on these remodeling processes were revealed by studies of monocytic cell co-cultures with breast tumor cells and by investigations in which cancer cells were grown in the presence of macrophage-derived conditioned media (CM). Under both conditions, of direct or indirect interactions between the cancer cells and monocytic cells, elevated levels of stemness, EMT or both were frequently mediated by inflammatory factors such as TNFα, IL-6 and/or ELR+ CXC chemokines that will be particularly mentioned in more detail later on.

For example, a research by Weinberg and his colleagues demonstrated that in BC patient biopsies, CD68+ macrophages were localized in proximity to CD90+ tumor cells, which were endowed with characteristics of CSCs as well as EMT (72). In this report, macrophages enhanced tumor initiation by CD90+ CSC cells and promoted the formation of primary tumors and of metastases (72). Of interest was the fact that tumor cell-expressed CD90 was required for generating physical contacts between the tumor cells and macrophages, and these interactions have increased the expression of IL-6, CXCL8 and granulocyte-macrophage colony stimulation factor (GM-CSF) in the cancer cells. In parallel, inflammatory cytokines sustained the levels of CSCs, and recombinant IL-6 and CXCL8 increased the formation of tumor spheres by CD90+ tumor cells (72).

When considering the type of macrophages that regulate stemness/EMT, it is interesting to note that when CM of M1 cells (mainly those derived from peripheral blood mononuclear cells, PBMCs) have been added to luminal-A BC cells, the tumor cells have acquired a CSC phenotype (elevated formation of mammospheres), EMT properties (mesenchymal morphology, reduced E-cadherin and elevated zeb1 expression) and more potent migration (73). By adding neutralizing antibodies to specific pro-inflammatory cytokines, the researchers demonstrated that TNFα, interleukin 1β (IL-1β) and IL-6 partly contributed to some of these effects. In line with the fact that M1-derived CM have led to STAT3 activation, inhibition of the Jak2-STAT3 pathway alongside with NF-κB down-regulation resulted in reduced EMT properties and lower proportions of CD44+/CD24−/low CSCs (73).

In another investigation it was found that inflammatory BC (IBC) tumors were significantly infiltrated by CD163+ M2 macrophages; moreover, IBC cells in culture released chemokines that induced the recruitment of macrophages, as well as factors that induced macrophage polarization to the M2 direction (74). In this study, which has used THP-1 cells or blood monocytes, physical co-culturing of monocytic cells with cancer cells has given rise to elevated proportions of CSCs (CD44+/CD24− and ALDH+) and the cancer cells have gained some EMT characteristics (74). Some of these EMT phenotypes and tumor cell invasion were up-regulated by ELR+ CXC chemokines that were present in the culture medium of the macrophages, such as CXCL8 and CXCL1 (74). In this case, the chemokines have led to STAT3 activation in the tumor cells, which then has driven forward stemness and EMT (74).

In the same spirit, in response to CM of blood monocyte-derived macrophages, several breast tumor cell lines acquired a stronger invasive capability; in MCF-7 cells, this effect was mediated by TNFα-induced stabilization of snail, mediated by the ability of the cytokine to activate NF-κB (75). Moreover, in a study using TAMs excised from a MMTV-PyMT tumor model and monocytic cells, the overall conclusion was that macrophages released CXCL1, which via NF-κB activation has induced the transcription of the EMT regulator SOX4, leading to EMT and metastasis (76). It is interesting to note that in this study, CXCL1 was not found to induce the enrichment of CSCs (76).

Pro-Inflammatory Cytokines Regulating Stemness and EMT

The above studies demonstrated that contacts formed between monocytic cells and BC cells, as well as factors released by macrophages had a major role in promoting stemness and EMT in BC. As mentioned, the factors involved in macrophage-mediated regulation of stemness and EMT included pro-inflammatory factors such as TNFα, IL-1β, IL-6 and the ELR+ CXC chemokines CXCL8 and CXCL1. In parallel, in other studies, these soluble factors were found to promote the proportions of CSCs and/or of cells undergoing EMT independently of macrophage-related aspects.

For example, the roles of TNFα were studied extensively in BC by using it in a recombinant form or by employing CM of TNFα-stimulated cells. In many studies, TNFα has directly induced stemness, EMT, and migration in BC cells and in non-transformed breast epithelial cells; in this regard, TNFα acted when it was used alone or when it was joined by other TME factors that often potentiated its activities, such as the EMT-inducer transforming growth factor β (TGFβ) or estrogen + epidermal growth factor (EGF) (40, 62, 63, 7788). In some of the settings, it was the extended stimulation of cells by TNFα for up to several weeks that has led to pronounced effects on stemness as well as on EMT (7779). Mechanistically, TNFα activities were accompanied by modified expression of CSC markers (like elevated presence of CD44+/CD24− or CD44+/CD24− low cells) and elevated expression of zeb1, slug and/or twist1. Often, these TNFα-induced functions were connected to activation of the NF-κB pathway (77, 79, 80, 82, 83, 88).

Adding to reports describing the roles of TNFα in stemness/EMT induction in BC, a large number of studies indicate that IL-6 is a major inducer of stemness in this disease (72, 73, 8996). IL-6 was found to promote stemness mostly in transformed but also in non-transformed breast epithelial cells. Many of these investigations have demonstrated the roles of IL-6 in promoting stemness by using a recombinant cytokine (73, 8992); others have shown autocrine sources of IL-6, or demonstrated that the cytokine was released during tumor cell interactions with other cells (such as macrophages) (72, 73, 93, 95, 96). In line with the key roles of IL-6 in enhancing tumor cell stemness, the JAK-STAT3 pathway was connected to or proven to take part in these events (73, 90, 9395); also, the Notch pathway was suggested to mediate IL-6-induced stemness in BC (91, 97).

Inflammatory Chemokines Regulating Stemness and EMT

In addition to the pro-inflammatory cytokines TNFα and IL-6, chemokines such as CCL2, CCL5, and CXCL12 can regulate stemness and EMT in BC (reviewed in (50)). In parallel, strong impacts were found for ELR+ CXC chemokines in regulation of these aspects of plasticity in BC (50). Here, CXCL8 was demonstrated to act in autocrine and paracrine manners, depending on the research system used. The contribution of CXCL8 to stemness/EMT was demonstrated by determining the effects of recombinant CXCL8 (72, 74, 89, 98100) and/or by using siRNA/neutralizing antibodies directed to the chemokine (74, 89, 96, 101103). In such studies, CXCL8 was noted in CM of breast tumor/senescent cells or was induced by chemotherapy and by different stimuli such as over-expression of the transcription factor Brachyury (89, 96, 100, 101, 104). In parallel, several reports focused on the roles of the CXCL8 receptors CXCR1 and CXCR2 in controlling stemness and EMT in BC (99, 100, 104, 105). For example, inhibitors of CXCR1/2 reversed CXCL8-induced mammosphere formation by normal breast epithelial cells and by patient-derived BC cells (99, 105). In the latter study, the effect of the CXCL8–CXCR1/2 axis on stemness was shown to be through the transactivation of HER2 and EGFR by Src (105). Inhibitors of CXCR1/2 also showed that these receptor/s controlled the expression of EMT markers and induced elevations in tumor cell invasion (100, 103).

In parallel to CXCL8, CXCL1 also contributed to stemness (74, 106), but its impacts were mostly found in regulation of EMT-related processes, migration and invasion; in this respect, CXCL1 was found to act in an autocrine manner and/or to be secreted by macrophages in vicinity of the cancer cells (74, 76, 106, 107). Mechanistically, the involvement of several different signaling pathways in CXCL1-induced EMT processes was noted: NF-κB (76), STAT3 (74) and also the MAPK pathway (107), proposing there is more than one molecular pathway linking CXCL1 stimuli with different EMT characteristics.

Inflammation-Driven Therapy Resistance in Breast Malignancy

Therapeutic options given to BC patients depend on tumor subtype and clinical parameters, and their efficacy is often reduced because of intrinsic or acquired resistance. The molecular mechanisms enabling cancer cells to withstand chemotherapy, endocrine therapy, targeted therapy and immunotherapy are diverse and complex (24, 6). They represent, between others, selection of cells that underwent dynamic remodeling and gained the ability to subvert the effects of treatment (24, 6).

In the context of therapy resistance, inflammatory mechanisms are most influential and play key roles in shaping the nature and extent of therapy-relevant alterations taking place in the cancer cells (summarized in Figure 1 and Table 2).

Table 2.

Inflammation-driven cellular and molecular mechanisms regulating therapy resistance.

THERAPY RESISTANCE  
Inflammatory element involved Main observations
Chemoresistance
Myeloid cells
Macrophages,
CD11b+Gr1+ cells
* Myeloid cells released soluble factors that promoted chemoresistance, with
evidence to increased proportions of chemoresistant ALDH+ CSCs.
* The mediators involved in chemoresistance included mainly TNFα, cathepsins and
S100A9.
Soluble and cellular mediators
TNFα, mTNFα,
ELR+ CXC chemokines, cathepsins, S100A9
* TNFα was directly active in promoting chemoresistance, in its soluble and
membrane forms.
* TNFα has induced the expression of chemokines that recruited myeloid cells to
tumors.
* ELR+ chemokines directly promoted chemoresistance, for example by elevating
tumor cell viability in a S100A9-dependent manner.
* Cathepsins protected the cancer cells from chemotherapy.
* The molecular elements involved in chemoresistance included primarily NF-kB and
STAT3 activation, and also activation of C/EBP and of the Lin-28B-Let7-HMGA2 axis.
* Inhibition of pH2AX expression and elevated expression of PARP were involved in
chemoresistance, as well as elevated expression of ABC transporters.
Endocrine resistance
Myeloid cells
Macrophages * Through the release of soluble mediators, macrophages have led to resistance to
estrogen withdrawal and to tamoxifen resistance.
* The soluble mediators involved included mainly TNFα, IL-6 and chemokines.
Soluble and cellular mediators
TNFα, IL-6, ELR+ CXC chemokines * The soluble mediators reduced the expression of ERα or have led to its constitutive
activation.
* The molecular mechanisms included activation of the NF-kB and STAT3 pathways,
down-regulation of FOXO3a and involvement of COX-2.

The table summarizes the cellular and molecular components that are involved in inflammation-driven regulation of therapy resistance (addressing here only chemotherapy and endocrine therapy) and dormancy. To enable a unifying view of the findings described in different research systems, the Table focuses on the major observations described in the text, related to the functions of myeloid cells, pro-inflammatory cytokines and ELR+ CXC chemokines (without CC chemokines).

Chemoresistance: Inflammation-Associated Myeloid Cells and Pro-Inflammatory Cytokines/Chemokines

Elevated levels of macrophages were detected in post-chemotherapy biopsies of BC patients compared to pre-chemotherapy samples; increased macrophage presence was also found in BC animal model systems following taxol treatment (108). In this research it was also demonstrated by in vitro studies that macrophage-derived cathepsins have protected the tumor cells from taxol-induced cell death, and that cathepsins also reduced the efficacy of taxol in vivo (108). In another research, macrophages were connected to chemoresistance when antibodies targeting colony-stimulating factor-1 (CSF-1), a major monocyte chemoattractant, increased the efficacy of chemotherapy in reducing tumor sizes in vivo, in a process that was accompanied by lower macrophage presence in tumors (109). Phenotypically, it was found that M1 macrophages secreted factors that have led to elevated proportions of ALDH+ CSCs through NF-κB and STAT3, and via the Lin-28B-let-7-HMGA2 axis; these CSCs expressed increased resistance to doxorubicin, 5-FU and paclitaxel (73).

In parallel, another study demonstrated key roles for the CD11b+Gr1+ myeloid sub-population in mediating resistance to chemotherapy in BC. These cells were recruited to tumors by cancer cell-derived CXCL1/2 chemokines, and served as a major source for the pro-inflammatory proteins S100A8 and S100A9. In turn, S100A9 was found to be responsible for increased survival of the cancer cells in mice treated by doxorubicin and cyclophosphamide (110). Accordingly, analysis of BC patient biopsies demonstrated increased expression of S100A8/9 following chemotherapy (110). The findings of this study also indicated that the CXCL1/2–S100A8/9 axis was reinforced by chemotherapy through a stroma-derived TNFα-mediated process (110). TNFα roles in inducing therapy-resistant breast CSCs were further demonstrated when it was found that extended exposure of BC cells to combined TNFα+TGFβ stimulation has led to generation of CSCs that acquired high levels of resistance to chemotherapy, accompanied by elevated expression levels of ABC transporters (84).

Being a part of the complex network of TNFα and its ligands, the transmembrane form of TNFα (tmTNFα) was found to be expressed at high levels in a considerable proportion of BC patient tumors, mainly of the TNBC subtype (111). By using primary tumor cells, it was demonstrated in this study that high expression levels of tmTNFα were correlated with elevated resistance to anthracycline (111). Making use of shRNA to TNFα and the N-terminal fragment of tmTNFα, the authors of this investigation have concluded that reduced expression of tmTNFα improved the sensitivity of breast tumor cells to doxorubicin, and that the activities of tmTNFα in resistance were meditated by NF-κB and Erk (111). In addition, a recent study concerning the TNFα receptor TNFR2 in TNBC and luminal-A BC cells indicated that its down-regulation has improved the efficacy of adriamycin; TNFR2-mediated resistance was taking place through inhibition of adriamycin-induced pH2AX expression, mediated by enhanced expression of poly(ADP-ribose) polymerase (PARP) (112).

Throughout these investigations, some insights were provided to molecular mechanisms that may mediate inflammation-driven processes of chemoresistance. Here, major roles were attributed to the transcription factor NF-κB (103, 111, 113, 114). Particularly, a recent study that has analyzed cross-tolerance of breast tumor cells to anthracyclines (doxorubicin), which has developed in taxane (doxetaxel)-resistant cells, indicated that inflammatory cytokines and NF-κB were involved in the process (114); this investigation has indicated that GM-CSF + IL-23 + IFNγ, as well as NF-κB-mediated signaling induced the expression of CD44 by taxane-resistant cells, initiating signaling and metabolic cascades that regulated cross-tolerance (114). In addition, STAT3 was strongly implicated in reducing the sensitivity of breast tumor cells to chemotherapies. In line with the fact that STAT3 is a key transcription factor mediating the effects of IL-6 (42, 115), direct roles were reported for IL-6 in inducing chemoresistance, which was mediated by activation of C/EBP (116).

However, irrespectively of IL-6 activities, STAT3 involvement in chemotherapy resistance was proposed by a number of publications. For example, in doxorubicin-resistant TNBC cell inhibition of STAT3 activation by pharmacological inhibitor partly restored cancer cell sensitivity to the treatment, possibly through reduction in CSC proportion (117). In another study it was found that IL-22—whose expression by T cells was increased in TNBC tumor tissues compared to para-tumor and normal areas—induced paclitaxel resistance in TNBC cell lines, accompanied by elevated JAK/STAT3 activation (118). The JAK/STAT3 pathway was also found to regulate leptin-induced fatty acid β-oxidation, promoting self-renewal and chemoresistance in breast CSCs (119). This latter study also reported that STAT3 mRNA levels were higher in ex vivo cultured BC tumors derived from post-chemotherapy TNBC biopsies compared with pre-chemotherapy tumor tissues (119).

As part of the mechanistic analyses included in the above studies, the chemokines CXCL1/2 were found to be involved in regulation of chemoresistance (110). The roles of such chemokines in this process are strongly supported by additional investigations addressing inflammatory ELR+ CXC chemokines and their receptors in inducing or mediating lower sensitivity levels to chemotherapies. Different studies indicated that various types of chemotherapy share the ability to promote the release of ELR+ CXC chemokines—CXCL1, CXCL2, CXCL3, CXCL5, CXCL7 and CXCL8 (depending on the study) —by myeloid cells, breast tumor cells and mesenchymal stem cells (103, 104, 110, 120, 121). In parallel, inhibition of CXCL8 or of CXCR1/2 has increased the sensitivity of breast tumor cells to chemotherapeutic drugs, accompanied by reduced proportion of CSCs, angiogenesis, tumor growth and/or metastasis, with roles attributed to cyclooxygenase 2 (COX-2) in this process (103, 104, 110, 113, 121, 122). These findings have a high clinical relevance in view of the fact that chemotherapy has led to increased CXCR2 expression in BC patients; moreover, increased CXCR1/CXCR2 and CXCL8 expression levels were significantly correlated with poor overall and disease-free survival in studies of the TCGA dataset and of patient biopsies (103, 122).

Resistance to Other Therapies: Inflammation-Associated Myeloid Cells and Pro-Inflammatory Cytokines/Chemokines

In a way similar to chemotherapy, recent lines of evidence indicate that inflammatory components controlled also resistance to other types of therapy in BC. For example, TNFα and/or IL-6 were strongly connected to endocrine resistance in luminal-A breast tumors, in patients as well as in model systems of cultured cells or mice (123126). The study of tumors of ER+ HER2- BC patients revealed that resistance to tamoxifen was significantly associated with the presence of CD163+ macrophages in tumors (123). High macrophage counts were also connected to poor outcome in ER+ patients in other studies (125, 127) and macrophages were found to release factors that promoted endocrine resistance, such as TNFα; here, TNFα acted by inducing down-regulation of FOXO3a, leading to ERα down-regulation (125). In another study, TNFα was found to induce in macrophages the release of factors that have led the cancer cells resist estrogen withdrawal and express elevated resistance to tamoxifen and ICI 182,780; co-culture experiments of macrophages with cancer cells demonstrated that TNFα together with IL-6 have led to increased activation of STAT3, NF-κB and ERα, thus leading to its constitutive stimulation (124).

Moreover, macrophages and CCL2 were correlated with each other and with poor survival in ER+ patients; it was also found that monocytic cells cultured with CM of tamoxifen-resistant luminal-A cells secreted elevated levels of CCL2, which then acted directly on BC cells to increase endocrine resistance via the PI3K/AKT/mTOR pathway (127). Along the same lines, the inflammatory chemokine CCL5 acted in autocrine manners to induce STAT3 activation, leading to tamoxifen resistance (128).

Roles for macrophages and inflammatory cytokines/chemokines were also proposed in resistance of tumor cells to measures targeting HER2 and other receptor tyrosine kinases (129131); there are also indications of similar roles for inflammatory cells/mediators in resistance to immunotherapy. In this specific case, the situation is even more complex because of the feedback mechanisms that dictate the equilibrium between acquired immunity and the inflammatory arm of the immune system. Here, it was demonstrated that the efficacy of immunotherapies can be repressed by myeloid cells and regulatory lymphocytes as well as by soluble pro-inflammatory mediators. It was found that MDSCs and regulatory T cells (Tregs) interfered with the beneficial effects of immunotherapies and have led to immune plasticity that was strongly connected to immune resistance (132139). Moreover, co-targeting inflammatory pathways alongside with the use of immune checkpoint blockades has led to improved efficacy of immunotherapies (140145).

Inflammation-Driven Tumor Cell Dormancy in Breast Malignancy

Dormancy is another level of cancer cell plasticity that reflects the dynamic nature of disease progression, having major implications on recurrence-free rates in patients (2, 8). Dormant tumor cells are recognized by a temporary mitotic arrest, leading to a viable but non-proliferating cell state (6). Early dormancy may take place in primary tumors, but often dormancy is observed following cancer cell spreading to metastatic sites. Disseminating tumor cells that have entered dormancy can evolve and escape this state, the result being tumor relapse and disease recurrence (4, 68).

The mechanisms controlling entry to and escape from dormancy are currently being extensively studied. In some of the experimental systems described below, dormancy was investigated by using variant tumor cells that remained undetectable and re-emerged after a considerable long latency; in other studies, cancer cells that have entered dormancy following chemotherapy or other manipulations became proliferative and led to tumor recurrence.

It is now clear that lymphocytes such as T helper (Th) cells and CTLs establish a hostile microenvironment to the cancer cells (23, 24). Immunologic dormancy was evidenced in many tumor systems, manifesting the fact that immune mechanisms have considerable roles in determining whether the cancer cells will enter dormancy and stay quiescent, or if they will become fully equipped with the machineries that enable them to re-emerge and metastasize (17, 18, 23, 24). If this stage takes place when beneficial aspects of acquired immunity are suppressed or when the patient is not treated by tumor-limiting drugs, exit from dormancy would serve well the needs of the tumor cells and lead to recurrence and disease progression.

The activities of key immunological players like effector Th1 cells and CTLs take place alongside inflammatory processes that recently have been identified as a leading force in promoting escape from dormancy. Specifically in BC, a strong connection was revealed between inflammatory conditions and tumor cell exit from dormancy, metastasis and recurrence. This has been demonstrated under conditions like obesity-associated inflammation or inflammation induced by exposure to tobacco smoke or to lipopolysaccharide (146148). With respect to obesity, it was found by deGraffenried and colleagues that disease recurrence was significantly reduced in ERα+ obese patients upon use of nonsteroidal anti-inflammatory drugs (NSAIDs), which are potent inhibitors of inflammation (148).

Links were also recently made between surgery/wound healing and enhanced emergence from dormancy (149155). This path was then connected to inflammation in BC, for example by a study addressing surgery- and chemotherapy-induced dormancy (156). This research has demonstrated that administration of ketorolac—which is an analgesic with NSAID activities targeting COX-1 and COX-2—reduced awakening from dormancy and tumor recurrence in a Lewis lung cancer (LCC) model, and that the dormancy process was mediated by COX-1 (156). Connecting these findings to BC is the fact that similar to LCC, pre-operative ketorolac administration prolonged animal survival after mastectomy in a TNBC model system (156). Furthermore, intra-operative administration of ketorolac to BC patients significantly prolonged disease-free survival (155).

Within the scope of the close connections between inflammation and dormancy, the following observations were made (summarized in Figure 1 and Table 3).

Inflammation-Associated Myeloid Cells Regulating Tumor Cell Dormancy

The roles of macrophages in regulating dormancy were demonstrated in a recent study addressing wounds formed in an immunogenic model of BC (157). In this research it was found that BC cells devoid of metastatic capabilities gained the ability to disseminate and grow in remote organs after surgery. Moreover, surgical wounding has induced a systemic inflammatory response and accordingly, administration of the NSAID meloxicam, starting prior to surgery, had an inhibitory impact on tumor growth (157). The inflammatory reaction was manifested by elevated levels of circulating myeloid cells (monocytes and neutrophils), and elevated expression of inflammatory mediators, including the major monocyte chemoattractant CCL2; CCL2 down-regulation has led to partial reduction in tumor outgrowth (157).

These findings emphasize the roles of myeloid cells in dormancy control in BC. Here, it is interesting to note that breast tumors were found to be enriched with a M2-related macrophage subset that was localized in proximity to blood vessels in primary tumors and bone metastases of BC patients (158). Animal studies demonstrated that these macrophages expressed vascular endothelial growth factor A (VEGFA) and that following chemotherapy, tumors lacking VEGFA+ macrophages recurred in slower kinetics than tumors containing VEGFA+ macrophages (158).

As mentioned above, COX-1 and COX-2 were proposed as pro-inflammatory mediators that enhanced awakening tumor cells from dormancy (148, 156). The above-mentioned study by the deGraffenried group also demonstrated the close relations of COX enzymes to macrophages in context of dormancy (148). Here, sera of obese ERα+ patients induced the expression of COX-2 in macrophages, leading to greater aromatase expression by pre-adipocytes (148); then, aromatase that was released by macrophages/pre-adipocytes grown with sera derived from obese patients, induced in ERα+ breast tumor cells the activity of ERα, tumor cell migration, and proliferation (148).

Another link connecting dormancy and macrophages was made by showing the involvement of chemokines that recruit monocytes, such as CCL2 and CCL5, in such processes. Roles for CCL2 in driving forward monocyte recruitment, then leading to exit from dormancy, were discussed in the context of wound healing, as mentioned above (157). In parallel, in a research system based on HER2 down-regulation that has led to generation of residual tumors and then to tumor recurrence, CCL5 induced elevated presence of macrophages that promoted emergence from dormancy. This effect was mediated by increased presence of CCR5+ collagen-depositing macrophages in residual tumors and CCL5 over-expression in tumor cells has led to faster recurrence (159). Moreover, this CCL5 study (159) also has made an interesting connection between dormancy and TNFα activities, through the NF-κB pathway. It has shown that HER2 down-regulation has induced a pro-inflammatory program that included TNFα, which through activation of the IKK-NF-κB pathway has given rise to chemokine induction; the chemokines included CCL5 that mediated the increased abundance of CCR5+ macrophages, which contributed to escape form dormancy (159).

Pro-Inflammatory Cytokines Regulating Tumor Cell Dormancy

The above studies provided evidence to roles of macrophage-associated cytokines and chemokines in controlling cancer cell dormancy. Alongside with TNFα that was reported above, other strong pro-inflammatory cytokines were found to regulate dormancy, for example by increasing the proliferation of dormant cancer cells at a bone-like microenvironment. In a study addressing not only TNFα but also IL-1β, the two cytokines were shown to increase tumor cell proliferation in a metastasis-suppressed model of a TNBC cell line and in combination with IL-6 and CXCL8 also of luminal-A cells (160). This study has demonstrated that the NSAID indomethacin and a prostaglandin E2 (PGE2) antagonist inhibited the pro-tumor effects of the cytokines (160), thus joining other reports that provided evidence to major roles for COX enzymes and PGE2 in promoting exit from dormancy [e.g., (148, 156)].

In parallel, it was found that IL-6 supported the growth of luminal-A BC cells in “dormant colonies”, but lowered the proliferation of the same cells in “growing colonies” (161). These findings suggest that IL-6 may potentially have opposing roles in control of tumor cell growth and dormancy, depending on intrinsic properties of the cancer cells.

It is interesting to note that another member of the IL-6 family, leukemia inhibitory factor (LIF) was found to maintain the dormancy state in breast tumor cells (162), being in line with previous studies suggesting that LIF receptor (LIFR) is a tumor suppressor gene [e.g. (163)]. Low mRNA levels of LIFR and its downstream signal transducer STAT3 were significantly associated with bone metastasis and poor prognosis, respectively, in BC (162). This observation was followed up by in vitro tests that linked LIFR down-regulation to increased migration and invasion abilities of luminal-A tumor cells; moreover, LIFR knockdown has led to increased proliferation of the tumor cells and elevated osteoclastogenesis/bone destruction in mice, in contrast to WT cells that remained in a dormant phenotype (162). Of note is the fact that low metastatic cells that migrated to the bone niche and stayed in a dormant state were sensitive to the effect of LIF : LIFR on the activation of STAT3, while TNBC cells that normally did not enter dormancy did not respond to LIF stimulation (162).

Inflammatory Chemokines Regulating Tumor Cell Dormancy

Some of the studies mentioned above addressed also CXCL8, demonstrating that it could promote escape from dormancy on one hand (160, 161), but it reduced the proliferation of breast tumor cells in “growing colonies” (161). Here, it is important to indicate that in contrast to the above-mentioned findings on CXCL8-mediated down-regulation of BC cells at growing phase (161), CXCL8 and other members of the ELR+ CXC sub-group of chemokines are generally and largely considered as key promoters of cell proliferation and viability in BC [reviewed in (50)]; thus, it is assumed that such chemokines would often enhance re-emergence from dormancy.

Supporting this view is a recent study addressing the hepatic niche in which BC cells often colonize (164). This report has demonstrated that CXCL8 was released by hepatic stellate cells and has increased TNBC cell proliferation through its receptor CXCR2 and ERK signaling activation; this pathway was relevant to dormancy because CXCL8 contributed to emergence from doxorubicin-induced dormancy in an ex vivo 3D liver micro-physiological system (164). In another report, the ELR+ CXC chemokine CXCL5 was shown to up-regulate BC cell proliferation in an ex vivo tumor-bone co-culture system that assessed the switch from dormancy to colonization through stimulation of tumor cell growth (165). In that investigation, CXCL5 expression levels were elevated in co-cultures using bones derived from cancer-bearing mice compared to bones from healthy mice; it was also found that CXCL5 increased murine breast tumor cell proliferation under quiescent conditions and that the process was mediated through CXCR2, whereas factors derived from bones of healthy mice induced cancer cell quiescence (165).

Final Considerations and Perspectives

Extensive research has led scientists and physicians to realize that cancer cell plasticity puts its marks on tumor fate and dramatically influences disease course in malignancy. Tumor cell remodeling stands in the basis of phenotypic and functional heterogeneity and leads to constant changes in tumor characteristics, thus having cardinal clinical implications (4, 5, 9, 10).

In this review, addressing breast cancer as a representative model system, we have demonstrated that pro-inflammatory constituents enhance cancer cell plasticity by increasing stemness/EMT, therapy resistance and exit from dormancy. These three remodeling forms can be driven and up-regulated by similar pro-inflammatory elements: inflammation-associated myeloid cells, pro-inflammatory cytokines and inflammatory chemokines, as indicated in the papers summarized in this review and summarized in Figure 1 and Tables 13. Moreover, the canonical transcription factors that mediate the functions of some of the mediators, namely NF-κB and STAT3, were generally implicated in generating tumor cell plasticity or maintaining it at different stages of the malignancy cascade (35, 39, 40, 115).

In this manuscript, we have portrayed an interactive remodeling scenario, in which three forms of plasticity are connected, with inflammation being a common thread that links them all. These observations set inflammation as a potential target in cancer therapy. To give an example, one therapeutic approach could be to use inflammation to trigger the awakening of tumor cells from dormancy, but to do so in a well-controlled manner that allows “hitting” the cancer cells when they enter a proliferating step, e.g., by chemotherapy. However, not only that “reviving” the tumor is a risky step, but also one should take into consideration the possibility that inflammatory processes may halt mechanisms of immune surveillance that could have been beneficial in fighting the re-arising tumor.

The opposite approach could take advantage of the fact that inflammation forms a regulatory hub in promoting tumor cell plasticity, setting inflammation as a prime target for therapy whose inhibition may reduce stemness/EMT, therapy resistance and dormancy, all at the same time. Indeed, as inflammation seems to be a common denominator that strongly connects various aspects of tumor cell remodeling, inhibition of inflammatory elements may reduce a number of cell remodeling processes simultaneously.

In this context, measures that combine efforts to reduce inflammation and in parallel strengthen anti-tumor immune activities (e.g., immunotherapies) (as exemplified in (140145)), may have an even greater benefit in the clinic. This approach, that tilts the immune balance by down-regulating inflammation and increasing protective immunity, is practically feasible. For example, in the clinic, TNFα inhibitors are used with relatively high success in therapy of autoimmune diseases and inflammatory disorders, and therapies directed to IL-6 are used in rheumatoid arthritis (166168). In parallel to the potential use of TNFα and IL-6 inhibitors, one can also consider reducing the recruitment of monocytes to primary tumors and metastases, e.g., by inhibiting the activities of chemokines and their receptors, as well as of other cytokines that support monocyte migration and macrophages activities, like CSF-1 (49, 52, 143, 169). These measures can be used together with immunotherapies that have been already introduced to patients in different types of malignancies, including current clinical trials in TNBC [e.g. of antibodies directed to PD-L1 (170)].

Obviously, it is not an easy task to tune the equilibrium in favor of anti-tumor activities and more efficient immune surveillance; moreover, one should consider the possibility that specific immune/inflammatory mediators or transcription factors may have opposing roles depending on intrinsic and extrinsic signals. One example to such a problematic scenario was described above, when STAT3 was found to have key roles in promoting cancer cell remodeling, e.g., following IL-6 activation, but in response to LIF activation kept dormant BC cells in check (42, 115, 171).

These aspects emphasize the need to carefully identify the inflammatory mechanisms regulating tumor cell plasticity. Thus, to successfully implement a combined tactic of inhibiting inflammation while promoting protective immunity, a detailed and accurate analysis of the elements involved in driving and regulating tumor cell remodeling should be performed in each and every cancer type and subtype.

Author Contributions

TB, LR-A, and HB-Y contributed to literature search, manuscript writing and editing. HB-Y also assisted in figure preparation. AB-B was responsible for the entire setup and structure design of the manuscript, and participated in all other aspects of article preparation including writing, editing, and figure design. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors thank the foundations that granted support to the Ben-Baruch group in recent years, enabling lab members to perform studies relevant to this article. In particular, the authors acknowledge the contribution of Israel Science Foundation, DKFZ-MOST Foundation, Helmholtz-Israel Cooperation in Personalized Medicine, Israel Cancer Association, Israel Cancer Research Fund and Federico Foundation.

References

  • 1. Meacham CE, Morrison SJ. Tumour heterogeneity and cancer cell plasticity. Nature (2013) 501(7467):328–37. 10.1038/nature12624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. De Angelis ML, Francescangeli F, La Torre F, Zeuner A. Stem Cell Plasticity and Dormancy in the Development of Cancer Therapy Resistance. Front Oncol (2019) 9:626. 10.3389/fonc.2019.00626 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Quintanal-Villalonga A, Chan JM, Yu HA, Pe’er D, Sawyers CL, Sen T, et al. Lineage plasticity in cancer: a shared pathway of therapeutic resistance. Nat Rev Clin Oncol (2020) 17(6):360–71. 10.1038/s41571-020-0340-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. De Angelis ML, Francescangeli F, Zeuner A. Breast Cancer Stem Cells as Drivers of Tumor Chemoresistance, Dormancy and Relapse: New Challenges and Therapeutic Opportunities. Cancers (2019) 11(10):1569–95. 10.3390/cancers11101569 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. da Silva-Diz V, Lorenzo-Sanz L, Bernat-Peguera A, Lopez-Cerda M, Munoz P. Cancer cell plasticity: Impact on tumor progression and therapy response. Semin Cancer Biol (2018) 53:48–58. 10.1016/j.semcancer.2018.08.009 [DOI] [PubMed] [Google Scholar]
  • 6. Talukdar S, Bhoopathi P, Emdad L, Das S, Sarkar D, Fisher PB. Dormancy and cancer stem cells: An enigma for cancer therapeutic targeting. Adv Cancer Res (2019) 141:43–84. 10.1016/bs.acr.2018.12.002 [DOI] [PubMed] [Google Scholar]
  • 7. Yang X, Liang X, Zheng M, Tang Y. Cellular Phenotype Plasticity in Cancer Dormancy and Metastasis. Front Oncol (2018) 8:505. 10.3389/fonc.2018.00505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Manjili MH. Tumor Dormancy and Relapse: From a Natural Byproduct of Evolution to a Disease State. Cancer Res (2017) 77(10):2564–9. 10.1158/0008-5472.CAN-17-0068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Brooks MD, Burness ML, Wicha MS. Therapeutic Implications of Cellular Heterogeneity and Plasticity in Breast Cancer. Cell Stem Cell (2015) 17(3):260–71. 10.1016/j.stem.2015.08.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Kong D, Hughes CJ, Ford HL. Cellular Plasticity in Breast Cancer Progression and Therapy. Front Mol Biosci (2020) 7:72. 10.3389/fmolb.2020.00072 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Eroles P, Bosch A, Perez-Fidalgo JA, Lluch A. Molecular biology in breast cancer: intrinsic subtypes and signaling pathways. Cancer Treat Rev (2012) 38(6):698–707. 10.1016/j.ctrv.2011.11.005 [DOI] [PubMed] [Google Scholar]
  • 12. Gerratana L, Fanotto V, Bonotto M, Bolzonello S, Andreetta C, Moroso S, et al. Pattern of metastatic spread and prognosis of breast cancer biologic subtypes. J Clin Oncol (2014) 32(15). 10.1200/jco.2014.32.15_suppl.e12532 [DOI] [Google Scholar]
  • 13. Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, et al. Breast cancer. Nat Rev Dis Primers (2019) 5(1):66. 10.1038/s41572-019-0111-2 [DOI] [PubMed] [Google Scholar]
  • 14. Paoletti C, Cani AK, Larios JM, Hovelson DH, Aung K, Darga EP, et al. Chu D et al: Comprehensive Mutation and Copy Number Profiling in Archived Circulating Breast Cancer Tumor Cells Documents Heterogeneous Resistance Mechanisms. Cancer Res (2018) 78(4):1110–22. 10.1158/0008-5472.CAN-17-2686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Klein CA. Framework models of tumor dormancy from patient-derived observations. Curr Opin Genet Dev (2011) 21(1):42–9. 10.1016/j.gde.2010.10.011 [DOI] [PubMed] [Google Scholar]
  • 16. Shenoy S. Cell plasticity in cancer: A complex interplay of genetic, epigenetic mechanisms and tumor micro-environment. Surg Oncol (2020) 34:154–62. 10.1016/j.suronc.2020.04.017 [DOI] [PubMed] [Google Scholar]
  • 17. Wang HF, Wang SS, Huang MC, Liang XH, Tang YJ, Tang YL. Targeting Immune-Mediated Dormancy: A Promising Treatment of Cancer. Front Oncol (2019) 9:498. 10.3389/fonc.2019.00498 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Goddard ET, Bozic I, Riddell SR, Ghajar CM. Dormant tumour cells, their niches and the influence of immunity. Nat Cell Biol (2018) 20(11):1240–9. 10.1038/s41556-018-0214-0 [DOI] [PubMed] [Google Scholar]
  • 19. Fridman WH, Zitvogel L, Sautes-Fridman C, Kroemer G. The immune contexture in cancer prognosis and treatment. Nat Rev Clin Oncol (2017) 14(12):717–34. 10.1038/nrclinonc.2017.101 [DOI] [PubMed] [Google Scholar]
  • 20. Bruni D, Angell HK, Galon J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer (2020) 20(11):662–80. 10.1038/s41568-020-0285-7 [DOI] [PubMed] [Google Scholar]
  • 21. Castro F, Cardoso AP, Goncalves RM, Serre K, Oliveira MJ. Interferon-Gamma at the Crossroads of Tumor Immune Surveillance or Evasion. Front Immunol (2018) 9:847. 10.3389/fimmu.2018.00847 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Mantovani A, Marchesi F, Malesci A, Laghi L, Allavena P. Tumour-associated macrophages as treatment targets in oncology. Nat Rev Clin Oncol (2017) 14(7):399–416. 10.1038/nrclinonc.2016.217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Baxevanis CN. T-cell recognition of non-mutated tumor antigens in healthy individuals: connecting endogenous immunity and tumor dormancy. Cancer Immunol Immunother CII (2019) 68(5):705–7. 10.1007/s00262-019-02335-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Koebel CM, Vermi W, Swann JB, Zerafa N, Rodig SJ, Old LJ, et al. Adaptive immunity maintains occult cancer in an equilibrium state. Nature (2007) 450(7171):903–7. 10.1038/nature06309 [DOI] [PubMed] [Google Scholar]
  • 25. Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A. Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis (2009) 30(7):1073–81. 10.1093/carcin/bgp127 [DOI] [PubMed] [Google Scholar]
  • 26. Shalapour S, Karin M. Pas de Deux: Control of Anti-tumor Immunity by Cancer-Associated Inflammation. Immunity (2019) 51(1):15–26. 10.1016/j.immuni.2019.06.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Becht E, Giraldo NA, Germain C, de Reynies A, Laurent-Puig P, Zucman-Rossi J, et al. Immune Contexture, Immunoscore, and Malignant Cell Molecular Subgroups for Prognostic and Theranostic Classifications of Cancers. Adv Immunol (2016) 130:95–190. 10.1016/bs.ai.2015.12.002 [DOI] [PubMed] [Google Scholar]
  • 28. Taube JM, Galon J, Sholl LM, Rodig SJ, Cottrell TR, Giraldo NA, et al. Implications of the tumor immune microenvironment for staging and therapeutics. Mod Pathol (2018) 31(2):214–34. 10.1038/modpathol.2017.156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Cassetta L, Pollard JW. Targeting macrophages: therapeutic approaches in cancer. Nat Rev Drug Discovery (2018) 17(12):887–904. 10.1038/nrd.2018.169 [DOI] [PubMed] [Google Scholar]
  • 30. Poh AR, Ernst M. Targeting Macrophages in Cancer: From Bench to Bedside. Front Oncol (2018) 8:49. 10.3389/fonc.2018.00049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Qiu SQ, Waaijer SJH, Zwager MC, de Vries EGE, van der Vegt B, Schroder CP. Tumor-associated macrophages in breast cancer: Innocent bystander or important player? Cancer Treat Rev (2018) 70:178–89. 10.1016/j.ctrv.2018.08.010 [DOI] [PubMed] [Google Scholar]
  • 32. Biswas SK, Sica A, Lewis CE. Plasticity of macrophage function during tumor progression: regulation by distinct molecular mechanisms. J Immunol (2008) 180(4):2011–7. 10.4049/jimmunol.180.4.2011 [DOI] [PubMed] [Google Scholar]
  • 33. Bent R, Moll L, Grabbe S, Bros M. Interleukin-1 Beta-A Friend or Foe in Malignancies? Int J Mol Sci (2018) 19(8):2155–89. 10.3390/ijms19082155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Greten FR, Grivennikov SI. Inflammation and Cancer: Triggers, Mechanisms, and Consequences. Immunity (2019) 51(1):27–41. 10.1016/j.immuni.2019.06.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Taniguchi K, Karin M. NF-kappaB, inflammation, immunity and cancer: coming of age. Nat Rev Immunol (2018) 18(5):309–24. 10.1038/nri.2017.142 [DOI] [PubMed] [Google Scholar]
  • 36. Balkwill F. Tumour necrosis factor and cancer. Nat Rev Cancer (2009) 9(5):361–71. 10.1038/nrc2628 [DOI] [PubMed] [Google Scholar]
  • 37. Tulotta C, Ottewell P. The role of IL-1B in breast cancer bone metastasis. Endocr Relat Cancer (2018) 25(7):R421–34. 10.1530/ERC-17-0309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Martinez-Reza I, Diaz L, Garcia-Becerra R. Preclinical and clinical aspects of TNF-alpha and its receptors TNFR1 and TNFR2 in breast cancer. J BioMed Sci (2017) 24(1):90. 10.1186/s12929-017-0398-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Zhang Q, Lenardo MJ, Baltimore D. 30 Years of NF-kappaB: A Blossoming of Relevance to Human Pathobiology. Cell (2017) 168(1-2):37–57. 10.1016/j.cell.2016.12.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Ben-Baruch A. Partners in crime: TNFalpha-based networks promoting cancer progression. Cancer Immunol Immunother CII (2020) 69(2):263–73. 10.1007/s00262-019-02435-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Salamanna F, Borsari V, Contartese D, Costa V, Giavaresi G, Fini M. What Is the Role of Interleukins in Breast Cancer Bone Metastases? A Systematic Review of Preclinical and Clinical Evidence. Cancers (2019) 11(12):2018–47. 10.3390/cancers11122018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Kang S, Tanaka T, Narazaki M, Kishimoto T. Targeting Interleukin-6 Signaling in Clinic. Immunity (2019) 50(4):1007–23. 10.1016/j.immuni.2019.03.026 [DOI] [PubMed] [Google Scholar]
  • 43. Taher MY, Davies DM, Maher J. The role of the interleukin (IL)-6/IL-6 receptor axis in cancer. Biochem Soc Trans (2018) 46(6):1449–62. 10.1042/BST20180136 [DOI] [PubMed] [Google Scholar]
  • 44. Do HTT, Lee CH, Cho J. Chemokines and their Receptors: Multifaceted Roles in Cancer Progression and Potential Value as Cancer Prognostic Markers. Cancers (2020) 12(2):287–312. 10.3390/cancers12020287 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Del Prete A, Schioppa T, Tiberio L, Stabile H, Sozzani S. Leukocyte trafficking in tumor microenvironment. Curr Opin Pharmacol (2017) 35:40–7. 10.1016/j.coph.2017.05.004 [DOI] [PubMed] [Google Scholar]
  • 46. Cheng Y, Ma XL, Wei YQ, Wei XW. Potential roles and targeted therapy of the CXCLs/CXCR2 axis in cancer and inflammatory diseases. Biochim Biophys Acta Rev Cancer (2019) 1871(2):289–312. 10.1016/j.bbcan.2019.01.005 [DOI] [PubMed] [Google Scholar]
  • 47. Lim SY, Yuzhalin AE, Gordon-Weeks AN, Muschel RJ. Targeting the CCL2-CCR2 signaling axis in cancer metastasis. Oncotarget (2016) 7(19):28697–710. 10.18632/oncotarget.7376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Jiao X, Nawab O, Patel T, Kossenkov AV, Halama N, Jaeger D, et al. Recent Advances Targeting CCR5 for Cancer and Its Role in Immuno-Oncology. Cancer Res (2019) 79(19):4801–7. 10.1158/0008-5472.CAN-19-1167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Mollica Poeta V, Massara M, Capucetti A, Bonecchi R. Chemokines and Chemokine Receptors: New Targets for Cancer Immunotherapy. Front Immunol (2019) 10:379. 10.3389/fimmu.2019.00379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Morein D, Erlichman N, Ben-Baruch A. Beyond Cell Motility: The Expanding Roles of Chemokines and Their Receptors in Malignancy. Front Immunol (2020) 11:952. 10.3389/fimmu.2020.00952 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Weitzenfeld P, Ben-Baruch A. The chemokine system, and its CCR5 and CXCR4 receptors, as potential targets for personalized therapy in cancer. Cancer Lett (2014) 352(1):36–53. 10.1016/j.canlet.2013.10.006 [DOI] [PubMed] [Google Scholar]
  • 52. Bachelerie F, Ben-Baruch A, Burkhardt AM, Combadiere C, Farber JM, Graham GJ, et al. International Union of Basic and Clinical Pharmacology. [corrected]. LXXXIX. Update on the extended family of chemokine receptors and introducing a new nomenclature for atypical chemokine receptors. Pharmacol Rev (2014) 66(1):1–79. 10.1124/pr.113.04er14a [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Borsig L, Wolf MJ, Roblek M, Lorentzen A, Heikenwalder M. Inflammatory chemokines and metastasis-tracing the accessory. Oncogene (2013) 33(25):3217–24. 10.1038/onc.2013.272 [DOI] [PubMed] [Google Scholar]
  • 54. Eckert F, Schilbach K, Klumpp L, Bardoscia L, Sezgin EC, Schwab M, et al. Potential Role of CXCR4 Targeting in the Context of Radiotherapy and Immunotherapy of Cancer. Front Immunol (2018) 9:3018. 10.3389/fimmu.2018.03018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Balkwill FR. The chemokine system and cancer. J Pathol (2012) 226(2):148–57. 10.1002/path.3029 [DOI] [PubMed] [Google Scholar]
  • 56. Mantovani A, Bonecchi R, Locati M. Tuning inflammation and immunity by chemokine sequestration: decoys and more. Nat Rev Immunol (2006) 6(12):907–18. 10.1038/nri1964 [DOI] [PubMed] [Google Scholar]
  • 57. Turner MD, Nedjai B, Hurst T, Pennington DJ. Cytokines and chemokines: At the crossroads of cell signalling and inflammatory disease. Biochim Biophys Acta (2014) 1843(11):2563–82. 10.1016/j.bbamcr.2014.05.014 [DOI] [PubMed] [Google Scholar]
  • 58. Murray PJ, Allen JE, Biswas SK, Fisher EA, Gilroy DW, Goerdt S, et al. Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity (2014) 41(1):14–20. 10.1016/j.immuni.2014.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Wang T, He C. Pro-inflammatory cytokines: The link between obesity and osteoarthritis. Cytokine Growth Factor Rev (2018) 44:38–50. 10.1016/j.cytogfr.2018.10.002 [DOI] [PubMed] [Google Scholar]
  • 60. Roebuck KA, Carpenter LR, Lakshminarayanan V, Page SM, Moy JN, Thomas LL. Stimulus-specific regulation of chemokine expression involves differential activation of the redox-responsive transcription factors AP-1 and NF-kappaB. J Leukoc Biol (1999) 65(3):291–8. 10.1002/jlb.65.3.291 [DOI] [PubMed] [Google Scholar]
  • 61. Tourniaire F, Romier-Crouzet B, Lee JH, Marcotorchino J, Gouranton E, Salles J, et al. Chemokine Expression in Inflamed Adipose Tissue Is Mainly Mediated by NF-kappaB. PloS One (2013) 8(6):e66515. 10.1371/journal.pone.0066515 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Soria G, Ofri-Shahak M, Haas I, Yaal-Hahoshen N, Leider-Trejo L, Leibovich-Rivkin T, et al. Inflammatory mediators in breast cancer: coordinated expression of TNFalpha & IL-1beta with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer (2011) 11:130. 10.1186/1471-2407-11-130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Liubomirski Y, Lerrer S, Meshel T, Rubinstein-Achiasaf L, Morein D, Wiemann S, et al. Tumor-Stroma-Inflammation Networks Promote Pro-metastatic Chemokines and Aggressiveness Characteristics in Triple-Negative Breast Cancer. Front Immunol (2019) 10:757. 10.3389/fimmu.2019.00757 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Prasetyanti PR, Medema JP. Intra-tumor heterogeneity from a cancer stem cell perspective. Mol Cancer (2017) 16(1):41. 10.1186/s12943-017-0600-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Batlle E, Clevers H. Cancer stem cells revisited. Nat Med (2017) 23(10):1124–34. 10.1038/nm.4409 [DOI] [PubMed] [Google Scholar]
  • 66. Tam WL, Weinberg RA. The epigenetics of epithelial-mesenchymal plasticity in cancer. Nat Med (2013) 19(11):1438–49. 10.1038/nm.3336 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Tanabe S, Quader S, Cabral H, Ono R. Interplay of EMT and CSC in Cancer and the Potential Therapeutic Strategies. Front Pharmacol (2020) 11:904. 10.3389/fphar.2020.00904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Gooding AJ, Schiemann WP. Epithelial-Mesenchymal Transition Programs and Cancer Stem Cell Phenotypes: Mediators of Breast Cancer Therapy Resistance. Mol Cancer Res (2020) 18(9):1257–70. 10.1158/1541-7786.MCR-20-0067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Kotiyal S, Bhattacharya S. Breast cancer stem cells, EMT and therapeutic targets. Biochem Biophys Res Commun (2014) 453(1):112–6. 10.1016/j.bbrc.2014.09.069 [DOI] [PubMed] [Google Scholar]
  • 70. Sulaiman A, McGarry S, Han X, Liu S, Wang L. CSCs in Breast Cancer-One Size Does Not Fit All: Therapeutic Advances in Targeting Heterogeneous Epithelial and Mesenchymal CSCs. Cancers (2019) 11(8):1128–49. 10.3390/cancers11081128 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Sanchez-Tillo E, Liu Y, de Barrios O, Siles L, Fanlo L, Cuatrecasas M, et al. EMT-activating transcription factors in cancer: beyond EMT and tumor invasiveness. Cell Mol Life Sci (2012) 69(20):3429–56. 10.1007/s00018-012-1122-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Lu H, Clauser KR, Tam WL, Frose J, Ye X, Eaton EN, et al. A breast cancer stem cell niche supported by juxtacrine signalling from monocytes and macrophages. Nat Cell Biol (2014) 16(11):1105–17. 10.1038/ncb3041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Guo L, Cheng X, Chen H, Chen C, Xie S, Zhao M, et al. Induction of breast cancer stem cells by M1 macrophages through Lin-28B-let-7-HMGA2 axis. Cancer Lett (2019) 452:213–25. 10.1016/j.canlet.2019.03.032 [DOI] [PubMed] [Google Scholar]
  • 74. Valeta-Magara A, Gadi A, Volta V, Walters B, Arju R, Giashuddin S, et al. Inflammatory Breast Cancer Promotes Development of M2 Tumor-Associated Macrophages and Cancer Mesenchymal Cells through a Complex Chemokine Network. Cancer Res (2019) 79(13):3360–71. 10.1158/0008-5472.CAN-17-2158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Wu Y, Deng J, Rychahou PG, Qiu S, Evers BM, Zhou BP. Stabilization of snail by NF-kappaB is required for inflammation-induced cell migration and invasion. Cancer Cell (2009) 15(5):416–28. 10.1016/j.ccr.2009.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Wang N, Liu W, Zheng Y, Wang S, Yang B, Li M, et al. CXCL1 derived from tumor-associated macrophages promotes breast cancer metastasis via activating NF-kappaB/SOX4 signaling. Cell Death Dis (2018) 9(9):880. 10.1038/s41419-018-0876-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Li CW, Xia W, Huo L, Lim SO, Wu Y, Hsu JL, et al. Epithelial-mesenchymal transition induced by TNF-alpha requires NF-kappaB-mediated transcriptional upregulation of Twist1. Cancer Res (2012) 72(5):1290–300. 10.1158/0008-5472.CAN-11-3123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Antoon JW, Lai R, Struckhoff AP, Nitschke AM, Elliott S, Martin EC, et al. Altered death receptor signaling promotes epithelial-to-mesenchymal transition and acquired chemoresistance. Sci Rep (2012) 2:539. 10.1038/srep00539 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Storci G, Sansone P, Mari S, D’Uva G, Tavolari S, Guarnieri T, et al. TNFalpha up-regulates SLUG via the NF-kappaB/HIF1alpha axis, which imparts breast cancer cells with a stem cell-like phenotype. J Cell Physiol (2010) 225(3):682–91. 10.1002/jcp.22264 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Chua HL, Bhat-Nakshatri P, Clare SE, Morimiya A, Badve S, Nakshatri H. NF-kappaB represses E-cadherin expression and enhances epithelial to mesenchymal transition of mammary epithelial cells: potential involvement of ZEB-1 and ZEB-2. Oncogene (2007) 26(5):711–24. 10.1038/sj.onc.1209808 [DOI] [PubMed] [Google Scholar]
  • 81. Leibovich-Rivkin T, Liubomirski Y, Meshel T, Abashidze A, Brisker D, Solomon H, et al. The inflammatory cytokine TNFalpha cooperates with Ras in elevating metastasis and turns WT-Ras to a tumor-promoting entity in MCF-7 cells. BMC Cancer (2014) 14:158. 10.1186/1471-2407-14-158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Weitzenfeld P, Meron N, Leibovich-Rivkin T, Meshel T, Ben-Baruch A. Progression of luminal breast tumors is promoted by menage a trois between the inflammatory cytokine TNFalpha and the hormonal and growth-supporting arms of the tumor microenvironment. Mediators Inflammation (2013) 2013:720536. 10.1155/2013/720536 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Leibovich-Rivkin T, Liubomirski Y, Bernstein B, Meshel T, Ben-Baruch A. Inflammatory factors of the tumor microenvironment induce plasticity in nontransformed breast epithelial cells: EMT, invasion, and collapse of normally organized breast textures. Neoplasia (2013) 15(12):1330–46. 10.1593/neo.131688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Asiedu MK, Ingle JN, Behrens MD, Radisky DC, Knutson KL. TGFbeta/TNF(alpha)-mediated epithelial-mesenchymal transition generates breast cancer stem cells with a claudin-low phenotype. Cancer Res (2011) 71(13):4707–19. 10.1158/0008-5472.CAN-10-4554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Arima Y, Inoue Y, Shibata T, Hayashi H, Nagano O, Saya H, et al. Rb depletion results in deregulation of E-cadherin and induction of cellular phenotypic changes that are characteristic of the epithelial-to-mesenchymal transition. Cancer Res (2008) 68(13):5104–12. 10.1158/0008-5472.CAN-07-5680 [DOI] [PubMed] [Google Scholar]
  • 86. Liubomirski Y, Lerrer S, Meshel T, Morein D, Rubinstein-Achiasaf L, Sprinzak D, et al. Notch-Mediated Tumor-Stroma-Inflammation Networks Promote Invasive Properties and CXCL8 Expression in Triple-Negative Breast Cancer. Front Immunol (2019) 10:804. 10.3389/fimmu.2019.00804 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Lerrer S, Liubomirski Y, Bott A, Abnaof K, Oren N, Yousaf A, et al. Co-Inflammatory Roles of TGFbeta1 in the Presence of TNFalpha Drive a Pro-inflammatory Fate in Mesenchymal Stem Cells. Front Immunol (2017) 8:479. 10.3389/fimmu.2017.00479 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Weitzenfeld P, Meshel T, Ben-Baruch A. Microenvironmental networks promote tumor heterogeneity and enrich for metastatic cancer stem-like cells in Luminal-A breast tumor cells. Oncotarget (2016) 7(49):81123–43. 10.18632/oncotarget.13213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Ortiz-Montero P, Londono-Vallejo A, Vernot JP. Senescence-associated IL-6 and IL-8 cytokines induce a self- and cross-reinforced senescence/inflammatory milieu strengthening tumorigenic capabilities in the MCF-7 breast cancer cell line. Cell Commun Signal (2017) 15(1):17. 10.1186/s12964-017-0172-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Sullivan NJ, Sasser AK, Axel AE, Vesuna F, Raman V, Ramirez N, et al. Interleukin-6 induces an epithelial-mesenchymal transition phenotype in human breast cancer cells. Oncogene (2009) 28(33):2940–7. 10.1038/onc.2009.180 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Sansone P, Storci G, Tavolari S, Guarnieri T, Giovannini C, Taffurelli M, et al. IL-6 triggers malignant features in mammospheres from human ductal breast carcinoma and normal mammary gland. J Clin Invest (2007) 117(12):3988–4002. 10.1172/JCI32533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Iliopoulos D, Hirsch HA, Wang G, Struhl K. Inducible formation of breast cancer stem cells and their dynamic equilibrium with non-stem cancer cells via IL6 secretion. Proc Natl Acad Sci USA (2011) 108(4):1397–402. 10.1073/pnas.1018898108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Kim SY, Kang JW, Song X, Kim BK, Yoo YD, Kwon YT, et al. Role of the IL-6-JAK1-STAT3-Oct-4 pathway in the conversion of non-stem cancer cells into cancer stem-like cells. Cell Signal (2013) 25(4):961–9. 10.1016/j.cellsig.2013.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Marotta LL, Almendro V, Marusyk A, Shipitsin M, Schemme J, Walker SR, et al. The JAK2/STAT3 signaling pathway is required for growth of CD44(+)CD24(-) stem cell-like breast cancer cells in human tumors. J Clin Invest (2011) 121(7):2723–35. 10.1172/JCI44745 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Weng YS, Tseng HY, Chen YA, Shen PC, Al Haq AT, Chen LM, et al. MCT-1/miR-34a/IL-6/IL-6R signaling axis promotes EMT progression, cancer stemness and M2 macrophage polarization in triple-negative breast cancer. Mol Cancer (2019) 18(1):42. 10.1186/s12943-019-0988-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Samanta D, Gilkes DM, Chaturvedi P, Xiang L, Semenza GL. Hypoxia-inducible factors are required for chemotherapy resistance of breast cancer stem cells. Proc Natl Acad Sci USA (2014) 111(50):E5429–5438. 10.1073/pnas.1421438111 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 97. Peng D, Tanikawa T, Li W, Zhao L, Vatan L, Szeliga W, et al. Myeloid-Derived Suppressor Cells Endow Stem-like Qualities to Breast Cancer Cells through IL6/STAT3 and NO/NOTCH Cross-talk Signaling. Cancer Res (2016) 76(11):3156–65. 10.1158/0008-5472.CAN-15-2528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Charafe-Jauffret E, Ginestier C, Iovino F, Wicinski J, Cervera N, Finetti P, et al. Breast cancer cell lines contain functional cancer stem cells with metastatic capacity and a distinct molecular signature. Cancer Res (2009) 69(4):1302–13. 10.1158/0008-5472.CAN-08-2741 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Ginestier C, Liu S, Diebel ME, Korkaya H, Luo M, Brown M, et al. CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts. J Clin Invest (2010) 120(2):485–97. 10.1172/JCI39397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Fernando RI, Castillo MD, Litzinger M, Hamilton DH, Palena C. IL-8 signaling plays a critical role in the epithelial-mesenchymal transition of human carcinoma cells. Cancer Res (2011) 71(15):5296–306. 10.1158/0008-5472.CAN-11-0156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Wang L, Tang C, Cao H, Li K, Pang X, Zhong L, et al. Activation of IL-8 via PI3K/Akt-dependent pathway is involved in leptin-mediated epithelial-mesenchymal transition in human breast cancer cells. Cancer Biol Ther (2015) 16(8):1220–30. 10.1080/15384047.2015.1056409 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Li S, Kendall SE, Raices R, Finlay J, Covarrubias M, Liu Z, et al. TWIST1 associates with NF-kappaB subunit RELA via carboxyl-terminal WR domain to promote cell autonomous invasion through IL8 production. BMC Biol (2012) 10:73. 10.1186/1741-7007-10-73 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Jia D, Li L, Andrew S, Allan D, Li X, Lee J, et al. An autocrine inflammatory forward-feedback loop after chemotherapy withdrawal facilitates the repopulation of drug-resistant breast cancer cells. Cell Death Dis (2017) 8(7):e2932. 10.1038/cddis.2017.319 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Chen DR, Lu DY, Lin HY, Yeh WL. Mesenchymal stem cell-induced doxorubicin resistance in triple negative breast cancer. BioMed Res Int (2014) 2014:532161. 10.1155/2014/532161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Singh JK, Farnie G, Bundred NJ, Simoes BM, Shergill A, Landberg G, et al. Targeting CXCR1/2 significantly reduces breast cancer stem cell activity and increases the efficacy of inhibiting HER2 via HER2-dependent and -independent mechanisms. Clin Cancer Res (2013) 19(3):643–56. 10.1158/1078-0432.CCR-12-1063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Wang N, Zheng Y, Gu J, Cai Y, Wang S, Zhang F, et al. Network-pharmacology-based validation of TAMS/CXCL-1 as key mediator of XIAOPI formula preventing breast cancer development and metastasis. Sci Rep (2017) 7(1):14513. 10.1038/s41598-017-15030-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Bhat K, Sarkissyan M, Wu Y, Vadgama JV. GROalpha overexpression drives cell migration and invasion in triple negative breast cancer cells. Oncol Rep (2017) 38(1):21–30. 10.3892/or.2017.5668 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Shree T, Olson OC, Elie BT, Kester JC, Garfall AL, Simpson K, et al. Macrophages and cathepsin proteases blunt chemotherapeutic response in breast cancer. Genes Dev (2011) 25(23):2465–79. 10.1101/gad.180331.111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Paulus P, Stanley ER, Schafer R, Abraham D, Aharinejad S. Colony-stimulating factor-1 antibody reverses chemoresistance in human MCF-7 breast cancer xenografts. Cancer Res (2006) 66(8):4349–56. 10.1158/0008-5472.CAN-05-3523 [DOI] [PubMed] [Google Scholar]
  • 110. Acharyya S, Oskarsson T, Vanharanta S, Malladi S, Kim J, Morris PG, et al. A CXCL1 paracrine network links cancer chemoresistance and metastasis. Cell (2012) 150(1):165–78. 10.1016/j.cell.2012.04.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Zhang Z, Lin G, Yan Y, Li X, Hu Y, Wang J, et al. Transmembrane TNF-alpha promotes chemoresistance in breast cancer cells. Oncogene (2018) 37(25):3456–70. 10.1038/s41388-018-0221-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Yang F, Zhao N, Wu N. TNFR2 promotes Adriamycin resistance in breast cancer cells by repairing DNA damage. Mol Med Rep (2017) 16(3):2962–8. 10.3892/mmr.2017.6898 [DOI] [PubMed] [Google Scholar]
  • 113. Shao N, Chen LH, Ye RY, Lin Y, Wang SM. The depletion of interleukin-8 causes cell cycle arrest and increases the efficacy of docetaxel in breast cancer cells. Biochem Biophys Res Commun (2013) 431(3):535–41. 10.1016/j.bbrc.2013.01.022 [DOI] [PubMed] [Google Scholar]
  • 114. Goldman A, Khiste S, Freinkman E, Dhawan A, Majumder B, Mondal J, et al. Targeting tumor phenotypic plasticity and metabolic remodeling in adaptive cross-drug tolerance. Sci Signaling (2019) 12(595):eaas8779–811. 10.1126/scisignal.aas8779 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Gharibi T, Babaloo Z, Hosseini A, Abdollahpour-Alitappeh M, Hashemi V, Marofi F, et al. Targeting STAT3 in cancer and autoimmune diseases. Eur J Pharmacol (2020) 878:173107. 10.1016/j.ejphar.2020.173107 [DOI] [PubMed] [Google Scholar]
  • 116. Conze D, Weiss L, Regen PS, Bhushan A, Weaver D, Johnson P, et al. Autocrine production of interleukin 6 causes multidrug resistance in breast cancer cells. Cancer Res (2001) 61(24):8851–8. [PubMed] [Google Scholar]
  • 117. Cheng CC, Shi LH, Wang XJ, Wang SX, Wan XQ, Liu SR, et al. Stat3/Oct-4/c-Myc signal circuit for regulating stemness-mediated doxorubicin resistance of triple-negative breast cancer cells and inhibitory effects of WP1066. Int J Oncol (2018) 53(1):339–48. 10.3892/ijo.2018.4399 [DOI] [PubMed] [Google Scholar]
  • 118. Wang S, Yao Y, Yao M, Fu P, Wang W. Interleukin-22 promotes triple negative breast cancer cells migration and paclitaxel resistance through JAK-STAT3/MAPKs/AKT signaling pathways. Biochem Biophys Res Commun (2018) 503(3):1605–9. 10.1016/j.bbrc.2018.07.088 [DOI] [PubMed] [Google Scholar]
  • 119. Wang T, Fahrmann JF, Lee H, Li YJ, Tripathi SC, Yue C, et al. JAK/STAT3-Regulated Fatty Acid beta-Oxidation Is Critical for Breast Cancer Stem Cell Self-Renewal and Chemoresistance. Cell Metab (2018) 27(1):136–50.e135. 10.1016/j.cmet.2017.11.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Sharma B, Varney ML, Saxena S, Wu L, Singh RK. Induction of CXCR2 ligands, stem cell-like phenotype, and metastasis in chemotherapy-resistant breast cancer cells. Cancer Lett (2016) 372(2):192–200. 10.1016/j.canlet.2015.12.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Sharma B, Nawandar DM, Nannuru KC, Varney ML, Singh RK. Targeting CXCR2 enhances chemotherapeutic response, inhibits mammary tumor growth, angiogenesis, and lung metastasis. Mol Cancer Ther (2013) 12: (5):799–808. 10.1158/1535-7163.MCT-12-0529 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Xu H, Lin F, Wang Z, Yang L, Meng J, Ou Z, et al. CXCR2 promotes breast cancer metastasis and chemoresistance via suppression of AKT1 and activation of COX2. Cancer Lett (2018) 412:69–80. 10.1016/j.canlet.2017.09.030 [DOI] [PubMed] [Google Scholar]
  • 123. Xuan QJ, Wang JX, Nanding A, Wang ZP, Liu H, Lian X, et al. Tumor-associated macrophages are correlated with tamoxifen resistance in the postmenopausal breast cancer patients. Pathol Oncol Res (2014) 20(3):619–24. 10.1007/s12253-013-9740-z [DOI] [PubMed] [Google Scholar]
  • 124. Castellaro AM, Rodriguez-Baili MC, Di Tada CE, Gil GA. Tumor-Associated Macrophages Induce Endocrine Therapy Resistance in ER+ Breast Cancer Cells. Cancers (2019) 11(2):189–218. 10.3390/cancers11020189 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Gunnarsdottir FB, Hagerling C, Bergenfelz C, Mehmeti M, Kallberg E, Allaoui R, et al. Inflammatory macrophage derived TNFalpha downregulates estrogen receptor alpha via FOXO3a inactivation in human breast cancer cells. Exp Cell Res (2020) 390(1):111932. 10.1016/j.yexcr.2020.111932 [DOI] [PubMed] [Google Scholar]
  • 126. Sun X, Mao Y, Wang J, Zu L, Hao M, Cheng G, et al. IL-6 secreted by cancer-associated fibroblasts induces tamoxifen resistance in luminal breast cancer. Oncogene (2014) 33(35):4450–61. 10.1038/onc.2014.158 [DOI] [PubMed] [Google Scholar]
  • 127. Li D, Ji H, Niu X, Yin L, Wang Y, Gu Y, et al. Tumor-associated macrophages secrete CC-chemokine ligand 2 and induce tamoxifen resistance by activating PI3K/Akt/mTOR in breast cancer. Cancer Sci (2020) 111(1):47–58. 10.1111/cas.14230 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Yi EH, Lee CS, Lee JK, Lee YJ, Shin MK, Cho CH, et al. STAT3-RANTES autocrine signaling is essential for tamoxifen resistance in human breast cancer cells. Mol Cancer Res (2013) 11(1):31–42. 10.1158/1541-7786.MCR-12-0217 [DOI] [PubMed] [Google Scholar]
  • 129. Mercogliano MF, De Martino M, Venturutti L, Rivas MA, Proietti CJ, Inurrigarro G, et al. TNFalpha-Induced Mucin 4 Expression Elicits Trastuzumab Resistance in HER2-Positive Breast Cancer. Clin Cancer Res (2017) 23(3):636–48. 10.1158/1078-0432.CCR-16-0970 [DOI] [PubMed] [Google Scholar]
  • 130. Xu M, Liu M, Du X, Li S, Li H, Li X, et al. Intratumoral Delivery of IL-21 Overcomes Anti-Her2/Neu Resistance through Shifting Tumor-Associated Macrophages from M2 to M1 Phenotype. J Immunol (2015) 194(10):4997–5006. 10.4049/jimmunol.1402603 [DOI] [PubMed] [Google Scholar]
  • 131. Korkaya H, Kim GI, Davis A, Malik F, Henry NL, Ithimakin S, et al. Activation of an IL6 inflammatory loop mediates trastuzumab resistance in HER2+ breast cancer by expanding the cancer stem cell population. Mol Cell (2012) 47(4):570–84. 10.1016/j.molcel.2012.06.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132. Taylor NA, Vick SC, Iglesia MD, Brickey WJ, Midkiff BR, McKinnon KP, et al. Treg depletion potentiates checkpoint inhibition in claudin-low breast cancer. J Clin Invest (2017) 127(9):3472–83. 10.1172/JCI90499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Kim K, Skora AD, Li Z, Liu Q, Tam AJ, Blosser RL, et al. Eradication of metastatic mouse cancers resistant to immune checkpoint blockade by suppression of myeloid-derived cells. Proc Natl Acad Sci USA (2014) 111(32):11774–9. 10.1073/pnas.1410626111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Sisirak V, Faget J, Gobert M, Goutagny N, Vey N, Treilleux I, et al. Impaired IFN-alpha production by plasmacytoid dendritic cells favors regulatory T-cell expansion that may contribute to breast cancer progression. Cancer Res (2012) 72(20):5188–97. 10.1158/0008-5472.CAN-11-3468 [DOI] [PubMed] [Google Scholar]
  • 135. Plitas G, Konopacki C, Wu K, Bos PD, Morrow M, Putintseva EV, et al. Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer. Immunity (2016) 45(5):1122–34. 10.1016/j.immuni.2016.10.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. De Cicco P, Ercolano G, Ianaro A. The New Era of Cancer Immunotherapy: Targeting Myeloid-Derived Suppressor Cells to Overcome Immune Evasion. Front Immunol (2020) 11:1680. 10.3389/fimmu.2020.01680 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Wang Y, Jia A, Bi Y, Wang Y, Yang Q, Cao Y, et al. Targeting Myeloid-Derived Suppressor Cells in Cancer Immunotherapy. Cancers (2020) 12(9):2626–50. 10.3390/cancers12092626 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Kim JH, Kim BS, Lee SK. Regulatory T Cells in Tumor Microenvironment and Approach for Anticancer Immunotherapy. Immune Netw (2020) 20(1):e4. 10.4110/in.2020.20.e4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Ngiow SF, Young A. Re-education of the Tumor Microenvironment With Targeted Therapies and Immunotherapies. Front Immunol (2020) 11:1633. 10.3389/fimmu.2020.01633 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Kaneda MM, Messer KS, Ralainirina N, Li H, Leem CJ, Gorjestani S, et al. Foubert P et al: PI3Kgamma is a molecular switch that controls immune suppression. Nature (2016) 539(7629):437–42. 10.1038/nature19834 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141. Kaplanov I, Carmi Y, Kornetsky R, Shemesh A, Shurin GV, Shurin MR, et al. Blocking IL-1beta reverses the immunosuppression in mouse breast cancer and synergizes with anti-PD-1 for tumor abrogation. Proc Natl Acad Sci USA (2019) 116(4):1361–9. 10.1073/pnas.1812266115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Reinhardt J, Landsberg J, Schmid-Burgk JL, Ramis BB, Bald T, Glodde N, et al. MAPK Signaling and Inflammation Link Melanoma Phenotype Switching to Induction of CD73 during Immunotherapy. Cancer Res (2017) 77(17):4697–709. 10.1158/0008-5472.CAN-17-0395 [DOI] [PubMed] [Google Scholar]
  • 143. Mills CD, Lenz LL, Harris RA. A Breakthrough: Macrophage-Directed Cancer Immunotherapy. Cancer Res (2016) 76(3):513–6. 10.1158/0008-5472.CAN-15-1737 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. Tsukamoto H, Fujieda K, Miyashita A, Fukushima S, Ikeda T, Kubo Y, et al. Combined Blockade of IL6 and PD-1/PD-L1 Signaling Abrogates Mutual Regulation of Their Immunosuppressive Effects in the Tumor Microenvironment. Cancer Res (2018) 78(17):5011–22. 10.1158/0008-5472.CAN-18-0118 [DOI] [PubMed] [Google Scholar]
  • 145. Wang X, Li X, Wei X, Jiang H, Lan C, Yang S, et al. PD-L1 is a direct target of cancer-FOXP3 in pancreatic ductal adenocarcinoma (PDAC), and combined immunotherapy with antibodies against PD-L1 and CCL5 is effective in the treatment of PDAC. Signal Transd Targ Ther (2020) 5(1):38. 10.1038/s41392-020-0144-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146. Albrengues J, Shields MA, Ng D, Park CG, Ambrico A, Poindexter ME, et al. Neutrophil extracellular traps produced during inflammation awaken dormant cancer cells in mice. Science (2018) 361(6409):eaao4227–57. 10.1126/science.aao4227 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. De Cock JM, Shibue T, Dongre A, Keckesova Z, Reinhardt F, Weinberg RA. Inflammation Triggers Zeb1-Dependent Escape from Tumor Latency. Cancer Res (2016) 76(23):6778–84. 10.1158/0008-5472.CAN-16-0608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148. Bowers LW, Maximo IX, Brenner AJ, Beeram M, Hursting SD, Price RS, et al. NSAID use reduces breast cancer recurrence in overweight and obese women: role of prostaglandin-aromatase interactions. Cancer Res (2014) 74(16):4446–57. 10.1158/0008-5472.CAN-13-3603 [DOI] [PubMed] [Google Scholar]
  • 149. Retsky MW, Demicheli R, Hrushesky WJ, Baum M, Gukas ID. Dormancy and surgery-driven escape from dormancy help explain some clinical features of breast cancer. APMIS (2008) 116(7-8):730–41. 10.1111/j.1600-0463.2008.00990.x [DOI] [PubMed] [Google Scholar]
  • 150. Dillekas H, Demicheli R, Ardoino I, Jensen SAH, Biganzoli E, Straume O. The recurrence pattern following delayed breast reconstruction after mastectomy for breast cancer suggests a systemic effect of surgery on occult dormant micrometastases. Breast Cancer Res Treat (2016) 158(1):169–78. 10.1007/s10549-016-3857-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151. Demicheli R, Terenziani M, Valagussa P, Moliterni A, Zambetti M, Bonadonna G. Local recurrences following mastectomy: support for the concept of tumor dormancy. J Natl Cancer Inst (1994) 86(1):45–8. 10.1093/jnci/86.1.45 [DOI] [PubMed] [Google Scholar]
  • 152. Retsky M, Demicheli R, Hrushesky WJ, Forget P, De Kock M, Gukas I, et al. Reduction of breast cancer relapses with perioperative non-steroidal anti-inflammatory drugs: new findings and a review. Curr Med Chem (2013) 20(33):4163–76. 10.2174/09298673113209990250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153. Retsky M, Demicheli R, Hrushesky WJ, Forget P, De Kock M, Gukas I, et al. Promising development from translational or perhaps anti-translational research in breast cancer. Clin Transl Med (2012) 1(1):17. 10.1186/2001-1326-1-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154. Retsky M, Rogers R, Demicheli R, Hrushesky WJ, Gukas I, Vaidya JS, et al. NSAID analgesic ketorolac used perioperatively may suppress early breast cancer relapse: particular relevance to triple negative subgroup. Breast Cancer Res Treat (2012) 134(2):881–8. 10.1007/s10549-012-2094-5 [DOI] [PubMed] [Google Scholar]
  • 155. Forget P, Vandenhende J, Berliere M, Machiels JP, Nussbaum B, Legrand C, et al. Do intraoperative analgesics influence breast cancer recurrence after mastectomy? A retrospective analysis. Anesth Analg (2010) 110(6):1630–5. 10.1213/ANE.0b013e3181d2ad07 [DOI] [PubMed] [Google Scholar]
  • 156. Panigrahy D, Gartung A, Yang J, Yang H, Gilligan MM, Sulciner ML, et al. Preoperative stimulation of resolution and inflammation blockade eradicates micrometastases. J Clin Invest (2019) 129(7):2964–79. 10.1172/JCI127282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Krall JA, Reinhardt F, Mercury OA, Pattabiraman DR, Brooks MW, Dougan M, et al. The systemic response to surgery triggers the outgrowth of distant immune-controlled tumors in mouse models of dormancy. Sci Transl Med (2018) 10(436):eaan3464–87. 10.1126/scitranslmed.aan3464 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158. Hughes R, Qian BZ, Rowan C, Muthana M, Keklikoglou I, Olson OC, et al. Perivascular M2 Macrophages Stimulate Tumor Relapse after Chemotherapy. Cancer Res (2015) 75(17):3479–91. 10.1158/0008-5472.CAN-14-3587 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159. Walens A, DiMarco AV, Lupo R, Kroger BR, Damrauer JS, Alvarez JV. CCL5 promotes breast cancer recurrence through macrophage recruitment in residual tumors. Elife (2019) 8:e43653–79. 10.7554/eLife.43653 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160. Sosnoski DM, Norgard RJ, Grove CD, Foster SJ, Mastro AM. Dormancy and growth of metastatic breast cancer cells in a bone-like microenvironment. Clin Exp Metastasis (2015) 32(4):335–44. 10.1007/s10585-015-9710-9 [DOI] [PubMed] [Google Scholar]
  • 161. Tivari S, Lu H, Dasgupta T, De Lorenzo MS, Wieder R. Reawakening of dormant estrogen-dependent human breast cancer cells by bone marrow stroma secretory senescence. Cell Commun Signal (2018) 16(1):48. 10.1186/s12964-018-0259-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Johnson RW, Finger EC, Olcina MM, Vilalta M, Aguilera T, Miao Y, et al. Induction of LIFR confers a dormancy phenotype in breast cancer cells disseminated to the bone marrow. Nat Cell Biol (2016) 18(10):1078–89. 10.1038/ncb3408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163. Chen D, Sun Y, Wei Y, Zhang P, Rezaeian AH, Teruya-Feldstein J, et al. LIFR is a breast cancer metastasis suppressor upstream of the Hippo-YAP pathway and a prognostic marker. Nat Med (2012) 18(10):1511–7. 10.1038/nm.2940 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164. Khazali AS, Clark AM, Wells A. Inflammatory cytokine IL-8/CXCL8 promotes tumour escape from hepatocyte-induced dormancy. Br J Cancer (2018) 118(4):566–76. 10.1038/bjc.2017.414 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165. Romero-Moreno R, Curtis KJ, Coughlin TR, Miranda-Vergara MC, Dutta S, Natarajan A, et al. The CXCL5/CXCR2 axis is sufficient to promote breast cancer colonization during bone metastasis. Nat Commun (2019) 10(1):4404. 10.1038/s41467-019-12108-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166. Li P, Zheng Y, Chen X. Drugs for Autoimmune Inflammatory Diseases: From Small Molecule Compounds to Anti-TNF Biologics. Front Pharmacol (2017) 8:460. 10.3389/fphar.2017.00460 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167. Billmeier U, Dieterich W, Neurath MF, Atreya R. Molecular mechanism of action of anti-tumor necrosis factor antibodies in inflammatory bowel diseases. World J Gastroenterol (2016) 22(42):9300–13. 10.3748/wjg.v22.i42.9300 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Ogata A, Kato Y, Higa S, Yoshizaki K. IL-6 inhibitor for the treatment of rheumatoid arthritis: A comprehensive review. Mod Rheumatol (2019) 29(2):258–67. 10.1080/14397595.2018.1546357 [DOI] [PubMed] [Google Scholar]
  • 169. Pathria P, Louis TL, Varner JA. Targeting Tumor-Associated Macrophages in Cancer. Trends Immunol (2019) 40(4):310–27. 10.1016/j.it.2019.02.003 [DOI] [PubMed] [Google Scholar]
  • 170. Schmid P, Adams S, Rugo HS, Schneeweiss A, Barrios CH, Iwata H, et al. Atezolizumab and Nab-Paclitaxel in Advanced Triple-Negative Breast Cancer. N Engl J Med (2018) 379(22):2108–21. 10.1056/NEJMoa1809615 [DOI] [PubMed] [Google Scholar]
  • 171. Segatto I, Baldassarre G, Belletti B. STAT3 in Breast Cancer Onset and Progression: A Matter of Time and Context. Int J Mol Sci (2018) 19(9):2818–27. 10.3390/ijms19092818 [DOI] [PMC free article] [PubMed] [Google Scholar]

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