Skip to main content
Cells logoLink to Cells
. 2024 Sep 11;13(18):1526. doi: 10.3390/cells13181526

Treg Cell Therapeutic Strategies for Breast Cancer: Holistic to Local Aspects

Hanwen Zhang 1,*, Oliver Felthaus 1, Andreas Eigenberger 1, Silvan Klein 1, Lukas Prantl 1
Editor: Alexander E Kalyuzhny1
PMCID: PMC11429654  PMID: 39329710

Abstract

Regulatory T cells (Tregs) play a key role in maintaining immune homeostasis and preventing autoimmunity through their immunosuppressive function. There have been numerous reports confirming that high levels of Tregs in the tumor microenvironment (TME) are associated with a poor prognosis, highlighting their role in promoting an immunosuppressive environment. In breast cancer (BC), Tregs interact with cancer cells, ultimately leading to the suppression of immune surveillance and promoting tumor progression. This review discusses the dual role of Tregs in breast cancer, and explores the controversies and therapeutic potential associated with targeting these cells. Researchers are investigating various strategies to deplete or inhibit Tregs, such as immune checkpoint inhibitors, cytokine antagonists, and metabolic inhibition. However, the heterogeneity of Tregs and the variable precision of treatments pose significant challenges. Understanding the functional diversity of Tregs and the latest advances in targeted therapies is critical for the development of effective therapies. This review highlights the latest approaches to Tregs for BC treatment that both attenuate Treg-mediated immunosuppression in tumors and maintain immune tolerance, and advocates precise combination therapy strategies to optimize breast cancer outcomes.

Keywords: regulatory T cells, breast cancer, treatment

1. Introduction

BC is the second most common tumor worldwide. The World Health Organization (WHO) counted 2.3 million women diagnosed with breast cancer globally in 2022 (11.6% of all cancer cases). Of these patients, 666,000 died (6.9% of all cancer deaths) [1,2]. Although good results have been achieved through surgical resection, radiotherapy and other means of treatment, the high variability of BC tumors and drug resistance increase the difficulty of treatment [3,4,5,6]. Currently the treatment of BC remains a major health challenge globally and requires new therapeutic strategies. It is well known that tumor-infiltrating lymphocytes (TILs) have emerged as important markers of healing and therapeutic relevance, and an increasing number of studies confirm the role of T cells in cancer immunotherapy [7,8,9]. Importantly, the ratio of CD4+ to CD8+ T cells correlates with tumor lymphatic metastasis and overall survival. The CD4+ T cell subclass, i.e., CD4+ CD25+ Foxp3+ Tregs, plays an important role in the tumor regulation of the immune response [10]. Numerous studies have shown that an increase in Tregs enhances tumor aggressiveness and reduces overall cancer survival [11,12,13]. The suppression of inflammation, modulation of autoimmunity, and control of tumor development and prognosis through Tregs have become popular areas of tumor immunotherapy in recent years [14,15,16]. This review explores the complex role of Tregs in BC progression and highlights recent advances in exploiting their tumor immunotherapy potential. Figure 1 demonstrates the status of different Tregs in tumor tissue and peripheral tissue.

Figure 1.

Figure 1

Tregs function differently in the tumor microenvironment and peripheral tissues (created with BioRender.com).

2. Treg Classification and Characteristics

Tregs are a naturally occurring population of suppressor T cells located in secondary lymphoid organs and barrier tissues present in the body, such as the skin, lungs, gastrointestinal tract and liver [17,18]. When inflammatory conditions exist in the body, Tregs are recruited to the site of inflammatory injury and provide immunosuppression to reduce the immune response [19]. In addition to controlling autoimmunity, Tregs are able to inhibit antitumor immune responses and promote immune evasion and cancer progression [20].

2.1. Treg Classification

Tregs are classified according to the site of development: Tregs of thymic origin (tTreg) and Tregs of peripheral origin (pTreg) [20,21]. tTregs: CD4+ T cells in the thymus interact with each other via histocompatibility complex (MHC) class II-dependent T cell surface receptors (TCRs) in thymic stromal cells. The CD4+ CD25+ Foxp3+ Tregs that differentiate during natural maturation are active in the periphery. Their main role is the normal surveillance of self-antigens, as well as helping build up their own immune tolerance [22,23,24,25]. pTreg activates CD4+ CD25 T cells in vitro via naive CD4+ T cells, generates Foxp3+ Tregs and suppresses effector T cells (Teff) through specific antigens and peptides [26,27,28].

According to their biological properties, Tregs are divided into “natural” Tregs (nTregs) and “induced” Tregs (iTregs). nTregs are mainly CD4+ Tregs that mature after IL-2 and IL-15 stimulation in the thymus and maintain immune tolerance in peripheral areas of inflammation or tumor tissues, and account for approximately 1–3% of total CD4+ T lymphocytes [29,30]. In contrast, iTregs are also differentiated from naive CD4+ T cells after a series of antigenic stimuli. iTregs can be subdivided into various subtypes such as Tr1 cells (CD4+ CD25 CD45RBlow), Th3 cells (CD4+ CD25low) and CD8+ Treg (CD25+ Foxp3+) cells [31,32] (Figure 2).

Figure 2.

Figure 2

Source and classification of Treg cells: nTregs and tTregs secreted by naive CD4+ T cells in the thymus, and secreted in the periphery as iTregs and pTregs. tTregs produce an inhibitory effect on Teff, either through antigenic stimulation (IL-10, transforming growth factor (TGF-β), PD-L1, etc.) or through direct contact with CTLA4.

Based on the degree of activation, Tregs can be further classified into central Tregs (cTregs) and effector Tregs (eTregs). cTregs are also known as naive Tregs and are mainly derived from peripheral and secondary lymphoid Tregs [33]. eTregs are found mainly in non-lymphoid organs, with a small fraction of them present in secondary lymphoid organs. Under pathological conditions, cTregs are converted to eTregs thereby releasing tissue repair molecules to repair tissues or suppress immune responses [34,35,36]. eTregs are antigenically activated in vivo, strongly express cytokines such as CD44, ICOS, CTLA-4, and PD-1, and play an important role in the suppression of Tregs [37,38].

Classification according to appearance and function. Initially, CD4 T cells were classified into helper T cells (Th1, Th2, Th17) and iTregs. Later, classical CD4+ helper T cells were classified into a subpopulation of neo-memory Tregs, called Th-like Tregs [39,40] (Figure 3). Th1-like Tregs are characterized by the expression of T-bet and CXCR3, and CD4+Foxp3+ iTregs have been reported to produce the pro-inflammatory cytokine interferon γ (IFNγ) under the influence of the Th1 cytokine milieu, which rapidly develops and suppresses the initial immune response in Th1-like iTregs during the early stages of inflammation formation [41,42]. Th2-like Tregs significantly upregulate PTGDR2 (CRTh2) to prevent apoptosis, as well as the transcription factor GATA3, which regulates chemokines [43] and produces high levels of IL-4, IL-5, and IL-13 [38,44]. Th2-like Tregs also exhibit higher chemotaxis toward CCL17/22 than other Treg subpopulations, thereby increasing malignant migration [45,46]. Th17 and Tregs can be interconverted under specific conditions [47]. The differentiation of Th17-like Tregs is promoted primarily through a Th17-specific transcription factor, RORγt+, together with IL-2/IL6-associated STAT5 [48,49]. The accumulation of Th17 and Tregs in the tumor environment (TME) starts from the early stages of BC. In contrast, the increase in Treg infiltration and the conversion of Th1 cells to Tregs occurs in the middle-to-late stages of BC [50,51]. Follicular regulatory T (Tfr) cells are considered to be a special Treg population in the germinal center. They are induced by IL-6 and IL-21 after the stimulation of Tregs [52,53]. They retain their inhibitory function on the T cell receptor (TCR) as they retain factors such as the inducible T cell co-stimulatory factor (ICOS) and PD1. Tfr also expresses CXCR5, the transcriptional repressor B-cell lymphoma 6 (Bcl6), and secretes IL-10 directly or indirectly to regulate the immune function of B cells [54,55]. Overall, the plasticity of Tregs has characteristics associated with T helper cells, which increases the complexity of the tumor immune environment and suggests that Tregs are “double agents”.

Figure 3.

Figure 3

Plasticity of Tregs, in relation to Th cells in the immune system.

2.2. Treg Characteristics

Tregs are characterized by the constitutive expression of the interleukin 2 (IL-2) receptor alpha chain (CD25) and transcription factor Foxp3 [56,57]. Foxp3 is an X-linked forkhead/wing-helix transcription factor characteristically expressed mainly by endogenous CD4+ CD25+ [23,58,59]. It forms complexes with IL-2 and IL-2R on the cell surface, and promotes Foxp3 expression through intracellular signaling after binding to CD25 (e.g., the Janus kinase (JAK)-STAT pathway, phosphatidylinositol 3-kinase (PI3K)-AKT pathway). Post-translational modifications of Foxp3 (e.g., methylation, acetylation and phosphorylation) can enhance or inhibit Treg function [12,60,61,62,63]. In BC, Foxp3 methylation modification is an important area of research. Methylation is catalyzed mainly by DNA methyltransferases (DNMTs), which add a methyl group to the 5′ position of cytosine to form 5-methylcytosine. This modification can inhibit gene expression [64,65]. Many studies have shown that Foxp3 CpG hypomethylation mediates Treg cell differentiation [64,66]. In BCs, high levels of methylation in the promoter region of Foxp3 stop its transcription, which lowers the amount of protein it makes [67]. Li J et al. found that BRCA patients with promoter hypomethylation had a good prognosis by examining Foxp3 expression in 123 BC samples and 5 BC cell lines [68]. An antitumor effect has been achieved by S-adenosylmethionine (SAM) to increase FOXP3 methylation to reduce the inhibitory capacity of Tregs [69]. The acetylation of Foxp3 occurs mainly at lysine-specific residues. Histone acetyltransferases (HATs), like p300 and CREB-binding protein (CBP), can add acetyl groups to certain parts of Foxp3. This makes Foxp3 more stable and improves its ability to carry out transcriptional functions [70,71]. The inhibition of Foxp3 acetylation at BC then started to become a potential therapeutic strategy for antitumor immune responses. It was suggested that inhibiting Foxp3 acetylation by using p300 inhibitors further reduced Treg activity and enhanced anti-breast cancer function in transgenic animals [72]. The phosphorylation of Foxp3 is usually regulated by a variety of protein kinases, such as protein kinase C (PKC), phosphatidylinositol-3-kinase (PI3K), Akt and MAPK [73,74]. Phosphorylation usually occurs on the serine or threonine residues of Foxp3, and this modification can affect the localization, stability and transcriptional activity of Foxp3 [75].

Similarly, Foxp3 can bind to the site-specific transcription factor STAT3. BC is induced to transcribe this factor via STAT3 in conjunction with the vascular endothelial growth factor A (VEGFA) promoter. VEGFA secreted by Treg promotes BC angiogenesis [76]. However, the role of Foxp3 in BC immunity remains controversial. A recent meta-analysis found that Foxp3+ TIL had better pathological complete remission (pCR) and overall survival (OS) in human epidermal growth factor receptor 2 (HER2+) BC and triple-negative BC populations [77]. Bioinformatics method analysis also found that Foxp3 expression was higher in breast-invasive carcinoma (BRCA) than in normal tissues. The overexpression of Foxp3 was associated with a better prognosis. Further studies found that significantly elevated Foxp3 mRNA levels were positively correlated with OS in BRCA patients [68,78]. Zuo T et al. found that the Foxp3 gene, a mammary tumor suppressor in mice and humans, interacts with the forkhead DNA-binding motif in the ErbB2 promoter to repress the transcription of the HER-2/ErbB2 gene [79]. However, the role of Foxp3 in BC is complex, suggesting its potential use as a diagnostic biomarker and immunomodulatory influence.

3. Identification of Tregs

3.1. Flow Cytometry

Flow cytometry (FC) is currently the most commonly used tool for the assessment of Tregs and their subtypes [80]. Previously, the expression of CD25 was used to identify Tregs on circulating CD4+ T cells, but only accounted for 1–2% of total peripheral blood CD4+ T cells [81]. Heterogeneity and instability in the characterization of CD25 on T cells were later found, with only 35% expressing CD4+Foxp3+CD25high [82]. It was then suggested to use a Treg marker group consisting of CD3+, CD4+, CD25+, CD127 and Foxp3+, which, in combination, allows for the identification of Tregs for sorting [83,84]. Plitas G. et al. found a higher percentage of Foxp3+ Tregs in BC tissue lymphocytes compared to lymphocytes in peripheral blood and normal tissues by using FC. They also suggested that CD25 expression could differentiate tumor-associated Tregs from non-Tregs [85].

Mass spectrometry flow cytometry (MC) is also known as CyTOF (cytometry by time-of-flight). It combines flow and mass spectrometry techniques using metal-labeled antibodies, allowing for the measurement of up to 50 markers in a single cell, while evaluating the complexity and heterogeneity of the immune response under study [86,87]. In the Hartmann et. al.’s study, CyTOF was used to metabolically remodel naive versus memory CD8+ T cells in vitro, and they identified metabolically suppressive cytotoxic T cells in human colorectal cancer [88]. MC is able to accurately distinguish between different subpopulations of Tregs. And its phenotypic characteristics and functional status in the BC microenvironment were analyzed in detail [89].

3.2. Transcriptomics

Single-cell RNA sequencing (scRNA-seq) is RNA sequencing performed at the level of the resolution of a single cell to detect the level of gene expression in the cell [90]. By analyzing the mRNA expression profiles of Tregs, it is possible to identify specific genes related to Treg function, such as FoxP3, CTLA-4, IL-10, and TGF-β [91]. scRNA-seq also allows for a detailed analysis of the heterogeneity of Treg cells in the breast cancer microenvironment [92].

3.3. Proteomics

Proteomics is the study of protein expression levels, post-translational modifications, protein–protein interactions, etc., from which information about the details of a disease is obtained at the protein level. In the treatment of BC, proteomics is able to identify specific functional proteins in Tregs, such as cytokines involved in immunosuppression, co-inhibitory molecules (e.g., PD-1, CTLA-4), and so on. The quantification of protein expression provides insight into the function of these proteins in BC and their regulatory mechanisms [93,94]. In recent years, high-dimensional radiomics have emerged as a novel biomarker discovery platform that can non-invasively measure Treg infiltration in BC patients at multiple time points, but obtaining high-quality data and large populations is currently quite difficult and requires further validation [95].

4. Treg Interactions in BC

In the beginning, BC was treated as a separate tumor, slowly evolving into a dynamic balance between a central tumor and a local surrounding microenvironment with complex systemic and local interactions. On the other hand, the TME is a bridge involved in the communication between the tumor and external substances [96]. Many studies have shown that the density of Tregs in BC is significantly correlated with localization, higher tumor grade, HER2+, ER negativity and a poor prognosis [97,98,99]. Expressing CD4+ CD25+ Foxp3+ Tregs exerts immunosuppressive functions under specific conditions in the TME, while tumor cells in the TME also regulate their own metabolism to adapt to the alterations in the TME, thereby promoting the differentiation of intra-tumorally infiltrating and the performance of their biological functions [100,101].

4.1. Chemokine Recruitment of Tregs

Tregs are recruited by tumor tissues in the TME through a variety of chemokines, leading to Treg enrichment locally in the tumor (CCL17/22-CCR4, CCL5-CCR5, CCL1-CCR8, CCL28-CCR10 and CXCL9/10/11-CXCR3, etc.) (Figure 4) [102,103,104,105,106,107,108]. Many studies have demonstrated that some chemokines and receptors, such as CCR4-CCL17/22, CCR5-CCL5, etc., promote the metastasis of BC tumors to the lymphs and lungs, etc., mediated by Tregs [95,109,110]. Researchers are increasingly finding that activating or inhibiting chemokines either promotes or attenuates Treg infiltration, a therapeutic strategy that could potentially contribute to tumor immunotherapy.

Figure 4.

Figure 4

BC interacts with Tregs in the TME. Tumor tissue in the TME recruits Tregs via a variety of chemokines, leading to local Treg enrichment in the tumor (e.g., CCL17/22, CCL5, CCL1-CCR8, etc.). Tregs inhibit Teff through surface antibodies (CTLA-4, PD-1, etc.) and by secreting TGF-β and cytokines (IL-10, IL-35, etc.). Metabolites associated with Treg cells (ADO, IDO, lactate) can promote Treg activity, creating a positive feedback loop. Tregs also control NK activation in lymph nodes. VEGF attracts Foxp3+ Treg with high Nrp-1 expression to achieve a tumor immune escape. ASC-EV and Treg-EV promote each other.

4.2. Treg Immunosuppression of Tumors

Tregs promote tumor growth by inhibiting the role of tumor immune cells through a variety of means; a large body of evidence suggests that Tregs expressing CTLA-4 are responsible for the inhibitory effect on conventional T cells. Tregs suppress immune responses by affecting the APC activation of other T cells through CTLA-4 [111,112,113,114]. More importantly, CTLA-4 binds to APC more strongly than CD28 and B7, disrupts APC maturation and proximally suppresses immunity after generating inducible inhibitory signals [115,116]. PD-1 on the surface of Tregs is thought to inhibit the function of effector T lymphocytes in non-lymphoid organs. The formation of the PD-1/PD-L1 axis inhibits T cell activation signaling via the T cell receptor (TCR), which can enhance Treg function and produce additional effector T cell suppression [117,118,119]. In addition to this, Tregs can also directly inhibit Teff by secreting TGF-β and cytokines such as interleukin-10 (IL-10) and interleukin-35 (IL-35) secreted by granzymes and perforins. They also inhibit dendritic cell (DC) function through the induction of the Smad signaling pathway and activation of STAT3 by TGF-β and IL-10 [120,121,122]. Glucocorticoid-induced tumor necrosis factor receptor (TNFR)-associated protein (GITR) also increases Treg expansion and promotes IL-10 production [123]. The infiltration and interaction of Tregs and BC are presented in Figure 4.

4.3. BC Metabolism and Treg Effects

The extracellular and pericellular accumulation of adenosine (ADO) directly upregulates Tregs by regulating CD39 and CD73, and also through the type 1 purinergic adenosine receptor inhibiting the effector function of activated T cells [124,125,126,127]. Many studies have demonstrated the association of indoleamine 2,3-dioxygenase (IDO) with tumor-induced immunosuppression. The expansion of Tregs was induced by IDO in myeloid-derived suppressor cells (MDSC) [128,129]. Increased IDO expression in BC allows for Tregs to synergistically mediate lymphatic metastasis (Figure 4). It also exerts its inhibitory effects by reducing the local production of tryptophan and cytotoxic metabolites in the lymphatic drainage zone of tumors [130,131].

Tregs are increasingly adapting and promoting TME stabilization in low-glucose, high-lactate, hypoxic TMEs [132,133]. Kumagai et al. demonstrated that Tregs in high-lactate environments actively uptake lactic acid (LA) via the monocarboxylate transporter protein 1 (MCT1), which promotes the translocation of NFAT1 to the nucleus and enhances PD-1 expression [134]. CD36 also regulates mitochondrial adaptation through peroxisome proliferators, thereby increasing the activation of receptor-β signaling, further adapting to the lactate environment in the TME by programming Tregs [135]. In highly glycolytic triple-negative BC (TNBC), rapid glucose depletion leads to the accumulation of lactic acid, which can drive initial T-cell polarization toward Tregs. It also favors Treg survival and phenotypic integrity [132,136]. Tregs can also adapt to the unusual TME by increasing Glut1 expression and thus glycolysis rates [137].

4.4. Tregs Enhance Tumor Progression, Metastasis and Drug Resistance

In addition to suppressing tumor immunity, Tregs can directly influence the properties of tumor stem cells (CSCs). Xu et al. studied Tregs from mice that had mammary tumor Foxp3-EGFP and found that Tregs in the TME could support the mammary CSC phenotype through a paracrine effect. This led to an increased expression of stemness genes like Sox2 in BC cells, which improved their ability to form spheres and even made the tumor resistant to drugs [138]. In a recent study, Tregs were also found to mediate the CCL5/CCR5 promotion of BC axillary lymph node metastasis in peripheral blood and tumor tissue cells from BC patients analyzed by flow cytometry [95]. In a mouse BC model, Tregs also controlled the activation of natural killer (NK) cells in lymph nodes to promote BC lymph node metastasis [139], as an increased function of CCL28 in the hypoxic environment within the TME can promote Treg recruitment and increase the level of tumor-derived VEGF secretion [140]. At the same time, VEGF also attracts Foxp3+ Tregs with a high expression of Nrp-1 to help tumors achieve immune escape [141].

Adipose stem cells (ASCs) can be secreted from the large amount of adipose in breast tissue. On the other hand, the extracellular vesicles (EV) secreted by ASC (ASC-EV) can promote the differentiation of CD4+ T cells to Tregs and the metastasis of MCF-7 cells [142]. EV secretion from adipose mesenchymal stem cells (MSCs) has also been shown to promote Th17 and Treg responses with miR-10a, while reducing Th1 responses [143]. Also, the EV that comes from BCs (BC-EV) carries the lncRNA SNHG16, raises the expression of CD73 and changes T-cells into Tregs when miR-16-5p acts as competitive endogenous RNA (ceRNA) [144]. Interestingly, Tregs can also release exosomally characterized “disc-shaped” lipid bilayer vesicles (Treg-EV), which simultaneously exhibit the inhibition of CD4+ T cell proliferation (Figure 4) [145]. Numerous studies have found Treg-EV to play an important role in Treg-mediated immunosuppression, but the treatment of BC has received relatively little research. However, the relationship between Tregs and tumors or autocrine exosomes shows great promise [146,147,148].

Overall, Tregs and BC cells promote tumor progression and metastasis through various signals, molecules, and other interactions, and it is the plasticity of Tregs with detrimental effects on the antitumor that provides opportunities for therapeutic intervention in tumors.

5. Immune-Targeted Therapy against Tregs

5.1. CTLA-4-Targeting Antibody

CTLA-4 is an immune checkpoint molecule highly expressed in Tregs that inhibits the function of antitumor Teff while preventing the inappropriate and prolonged activation of Teff [149]. Ipilimumab was the first anti-CTLA-4 antibody approved for use in 2011 and was applied to unresectable melanoma patients with an overall remission rate of approximately 10% [150,151]. In BC, CTLA-4 is a co-suppressor receptor molecule expressed on activated T cells and Tregs that interacts with the B7-1 (CD80)/B7-2 (CD86) ligand-binding site on antigen-presenting cells (APCs), and competes with CD28 to negatively regulate T cells [152,153]. The blockade of FcγRIIB was found to restore the Treg-depleting ability and antitumor activity of Ipilimumab in a mouse model treated with CTLA-4 and Fcγ receptor (FcγR) humanization [154]. Ipilimumab induces immune-related adverse events (irAEs), resulting in patients not being able to benefit from long-term treatment. Thus, Gan X et al. developed a fully humanized pure heavy-chain antibody (HCAb 4003-2) against CTLA-4 that showed enhanced anti-Treg ability, reduced blood levels and irAE occurrence. This treatment provided more potent antitumor activity than Ipilimumab, with an improved safety profile [155]. An overview of common immune targets and other treatment options for Treg can be viewed in Figure 5.

Figure 5.

Figure 5

Treg removal or suppression methods in BC (created with BioRender.com).

5.2. PD-1/PD-L1-Targeted Antibodies

PD-1 belongs to the CD28 family and is a transmembrane protein consisting of 268 amino acid residues. PD-1 has two ligands: PD-L1 (B7-H1) and PD-L2 (B7-DC). PD-1/PD-L1 is highly expressed on the surface of APCs such as B cells and DCs, and on the surface of many malignant tumor cells. The main function of anti-PD-1/PD-L1 antibodies is to reverse T cell depletion [156]. Researchers have found that combining PD-1/PD-L1 inhibitors with neoadjuvant chemotherapy increases the rate of pathologically complete remission in early BC [157]. In a recent study in a mouse model of 4T1 BC, a combination of anti-PD-1 antibody and DBDx (dipyridamole, betadine and dexamethasone) was found to result in lower Treg ratios in peripheral blood and tumors, and higher CD8+ T/Treg ratios after treatment [158]. Since PI3Kδ inhibitor (YY20394) eliminated the downstream biological effects on Treg proliferation and function, YY20394 was combined with anti-PD-1 in mouse experiments, sensitivity to immune-blocking therapy was restored by inhibiting Treg function and synergistic tumor inhibitory effects demonstrated [159]. To address PD-1 blockade resistance in TNBC, Fattori S et al. used an Fc-optimized IL2+ anti-CD25 antibody in combination with anti-PD-1. The results increased the Teff/Treg ratio in tumors and promoted systemic antitumor immunity [160].

5.3. Anti-GITR-Targeting Antibodies

GITR (TNFRSF18/CD357/AITR) is highly expressed on the cell surface of Treg but is lowly expressed in naive T cells [161]. The modulation of the signaling axis between GITR and its ligand (GITRL) has been shown to inhibit Treg function and upregulate Teff cells in animal tumor models [162,163,164]. Additionally, through the anti-GITR agonist antibody DTA-1 mAb, it is possible to modulate the DTA-1-GITR axis to reduce Treg activity and quantity and thereby suppress tumors [161,163]. Researchers initiated the first human phase I trial of GITR agonism using the anti-GITR antibody TRX518, which led to a decrease in circulating and intra-tumoral T reg cells and an increase in the Teff/Treg ratio [165]. To treat larger tumors forming in the clinic, an increasing number of scholars are combining different types of therapies. In BC models, the combination of cisplatin or paclitaxel with anti-PD-1 and anti-GITR had a significant effect in 80% of mice within 90 days. The use of anti-GITR antibodies and anti-CTLA4 antibodies in MethA and CT26 tumor models resulted in increased levels of Teff and IFNγ [166,167]. A recent study found that the combination of local radiotherapy (RT) with DTA-1 mAb significantly enhanced the antitumor effect of anti-PD-L1 antibody in a TNBC model inoculated in 4T1 mice. It resulted in an increase in CD8+ T cells and a decrease in Tregs [168].

5.4. Immunoassistant Molecules of Anti-Treg

Lymphocyte activation gene-3 (LAG-3), T-cell immunoglobulin and mucin-containing protein-3 (TIM-3) and OX-40 are less reported immunoadjuvant molecules, but they are equally involved in the regulation of tumor cell immunity [169,170,171]. LAG-3 is a molecule that inhibits T-cell proliferation and activation. It is co-regulated by TILs, depleted T-cells and Tregs. However, its transmission pathway remains unclear [169,172]. According to Asano Y et al., immunohistochemistry in 177 patients with resectable early BC found that LAG-3 may be a good independent predictor of highly malignant BC, such as TNBC and HER2+ BC [173]. Combining anti-LAG-3 antibodies with paclitaxel in phase I and II clinical studies in BC increased the efficiency from 25% to 50% by co-suppressing Tregs [174]. Wildiers H et al. recently added a soluble dimeric recombinant form of LAG-3 in a phase IIb clinical study. The study treated 114 patients with metastatic BC Eftilagimod-α (IMP321) in combination with Zitotriol, and showed that LAG-3 did not significantly improve overall survival, but demonstrated the safety of LAG-3 and the palliative of tumors, and is a promising new strategy [175,176].

TIM-3 not only acts as an immune checkpoint modulator and synergistically inhibits T cell function with PD-1, but also suppresses the natural immune response of myeloid cells and plays an important role in cancer cell support and survival [170]. TIM-3 does not depend on the immunoreceptor tyrosine inhibitory motifs of the T-cell antigen receptor signaling regulatory locus, and so, TIM-3-based immune targeting may mitigate normal tissue damage and may ultimately lead to accurate and effective therapy [173]. In a nude mouse model study of adenocarcinoma cells, the combination of anti-PD-1 antibody and anti-TIM-3 increased human leukocyte antigen (HLA)-A2-restricted melanoma-associated antigen A11 (MAGE-A11) peptide. This resulted in the activation of induced cytotoxic T lymphocytes (CTL) and inhibited BC development [177].

OX-40 is expressed by activated T cells and is a member of the TNFR family, originally found to be expressed in rats with autoimmune encephalomyelitis. It was later demonstrated that the involvement of OX-40R during tumor initiation in vivo may enhance the function, expansion and survival of tumor-specific CD4+ T cells [178,179]. The sequencing of OX-40 by RNA-Seq in liver and colon cancer tissues revealed that it was overexpressed on tumor-infiltrating CD4+ T cells. The use of Fc-engineered αOX40 antibody (αOX40_v12), which selectively enhances affinity for FcγRIIB, resulted in the amplification of peripheral TILs [180]. OX40 participates in CD4+ T cell processes and opens new avenues for tumor immune-targeted therapies, despite the need for further refinement and discovery in OX-40 studies.

5.5. Cytokine Inhibitors of Treg

5.5.1. Anti-CD25 Antibody

Il-2 is an important cytokine involved in Treg survival and function, and CD25 (IL-2Rα chain) is an indispensable growth factor for Treg development and homeostasis. Many experiments have found that injecting anti-CD25 antibodies decreases the number of peripheral CD4+CD25+ Tregs [181,182,183]. Anti-CD25 monoclonal antibodies (e.g., daclizumab, baliximab, etc.) have been shown to target CD25+ Tregs, thereby enhancing tumor immunity and immunotherapy [184,185], and daclizumab also significantly eliminates CD4+CD25+ Tregs from peripheral blood within 3–4 weeks and restores the Treg phenotype within 8 weeks [186]. Teff development and function will be impaired because the non-selective anti-CD25 antibody blocks IL-2 signaling required by T cells [187,188]. To ensure the targeted depletion of tumor-associated Tregs while avoiding immune-related side effects due to systemic Treg cytopenia, a specific selective CD25 blocker (RG6292) has been developed which enhances antitumor activity without significant immune-related toxicity [189]. Similarly, a CD25-based pyrrolobenzodiazepine (PBD) dimeric antibody–drug coupling (ADC) depletes Tregs in mice bearing MC38 tumors, while CD8+ Teff cells are unaffected [190]. There are also chimeric antigen receptor (CAR)-based NK cells engineered to express CD25 CAR constructs that can target CD25 Tregs, a novel CAR that provides new ideas for immune anticancer therapy [191].

5.5.2. TGF-β and GARP

TGF-β, a key factor in tumor immunosuppression, can directly promote the proliferation of Treg cells. It can also achieve tumor immunity by inhibiting Teff cell effects, as well as DC survival and function [192,193]. Lainé A et al. administered anti-Itgβ8 antibody to β8-chained Tregs expressing the αvβ8 integrin (Itgβ8) in a mouse model of mammary cancer and melanoma. This treatment was found to inhibit TGF-β signaling and enhance the cytotoxic function of T cells [194]. By inhibiting TGF-β family members, activin A and TGF-β can effectively downregulate the increase in Tregs after radiotherapy, thus enhancing the effect of radiotherapy and effectively suppressing tumors [195,196]. It has also been found that in tumor fibroblasts, TGF-β was associated with resistance to anti-PD-1 antibodies. Once combined, anti-TGF-β and anti-PD-1 treatment can promote Teff cell infiltration and enhance antitumor capacity [197]. A recent study identified a bispecific antibody called AxF (scFv) 2 (which doubly blocks PD-L1 and TFG-β). When combined with tri-specific T-cell inducer (TriTE) or CAR-T, it significantly enhanced T-cell activation and improved survival in breast, lung and colorectal cancer models [198]. Currently, anti-TGF-β anti-immunity still lacks specificity, so it has not been incorporated into clinical applications for the time being. However, a growing number of studies have shown that combination therapy with anti-TGF-β and anti-PD-1 can be more effective than monotherapy, and that such regimens can be effective in reducing drug resistance while synergistically facilitating Teff’s fight against tumors.

Glycoprotein A repetitions predominant (GARP) is a transmembrane protein and is highly expressed in BC, and increased levels of TGF-β when GARP is overexpressed have been found to be tumor-inducing in mouse mammary tissue model experiments [199,200]. In contrast, lentivirus-mediated downregulation of GARP expression leads to the downregulation of Foxp3 and reduced Treg suppression [201]. GARP is also closely related to TGF-β and its function as a potential TGF-β receptor [202]. Therefore, numerous studies have shown that blocking the GARP–TGFβ1 complex is a promising option. Powderly J et al. used a monoclonal antibody called ABBV-151 to block the binding of the GARP–TGFβ1 complex. This antibody specifically interferes with the release of TGFβ1. Combining ABBV-151 with an anti-PD-1 antibody resulted in a stronger antitumor effect [203]. Satoh K et al. found that anti-GARP-TGF-β1 antibodies do not require FcγR-dependent function to exert antitumor activity in mice, as they do not lead to the depletion of Tregs causing subsequent autoimmune adverse reactions [204]. A recent study found that a novel naphtholactam platinum anticancer drug (NPt) can be stored in Treg lysosomes via ATP-binding cassette subfamily B member 9 (ABCB9) and tumor necrosis factor receptor-related factor 3-interacting protein 3 (TRAF3IP3). It specifically inhibits the activation of the GARP/TGF-β1 complex [205].

5.6. Inhibition of Treg Chemotaxis

5.6.1. CCR8 Inhibitors

CCR8 is a cell surface receptor belonging to class A of the G protein-coupled receptor (GPCR) family and is considered one of the best tumor Treg targets [206,207]. In recent years, the prospect of Treg-mediated cancer immunotherapy against CCR8 has received widespread attention. Screening by multi-omics analysis with the Cancer Genome Atlas (TCGA) revealed that CCR8 is preferentially expressed on Tregs in BC [208,209]. The anti-CCR8 antibody of rat IgG2b isotype was injected intravenously into EMT6 BC cell-treated mice and was found to highly inhibit tumor growth with greater than 50% tumor clearance. Surprisingly, their findings also revealed that CCR8+ Treg depletion was not accompanied by harmful autoimmunity [109]. To increase the efficiency of such approaches, CCR8+ Tregs can also be selectively eliminated by Fc-optimized non-fucosylated (nf) anti-human CCR8 antibodies, which achieve dose-dependent, long-term effective antitumor immunity and synergize with PD-1 blockade [210]. Weaver JD et al. used a new Fc-optimized CCR8 antibody (GS-1811) to get rid of cells that only expressed CCR8 in a mouse tumor model. This antibody worked well with PD-1 inhibition to boost antitumor responses in a PD-1 resistance model [211]. A highly selective CCR8 antagonist (IPG7236) was the first antibody to enter this class of clinical trial phase, which exhibited anticancer effects through downregulation of Tregs and increase of CD8+ T cells. In a human BC mouse xenograft model, IPG7236 significantly inhibited tumour growth alone or in combination with a PD-1 antibody [212]. CCL-1, as a receptor for CCR8, has been shown to play an important role in Treg developmental transformation and Treg recruitment in BC. Inhibition of Treg function using a CCL-1 inhibitor (α-CCL1) can achieve antitumor effects [104,213].

5.6.2. CCR4-CCL17/CCL22 Antagonists

CCR4 is a chemokine receptor for the metastatic process of Tregs and in tumor-infiltrating Foxp3+ Treg populations, most of which express CCR4 [214]. Thus, anti-CCR4 antibodies are increasingly being used as an adjunct to antitumor therapy [215,216]. Clinical trials of a humanized CCR4 antibody (Mogamulizumab) have focused on the treatment of advanced tumors such as T-cell lymphoma and leukemia [217,218]. A significant reduction in BC lung metastases was found by injecting anti-CCR4 antibody (TARC-PE38) in mice inoculated with 4T1 BC cells [110]. The oral CCR4 antagonist FLX475 was shown to be well tolerated to maximizes the suppression of Treg levels. Similarly, FLX475 monotherapy and combination with pembrolizumab for advanced tumors are undergoing clinical trials (NCT03674567, NCT03674567) [219]. In BC lymphocyte recruitment, CCL17/CCL22 acts as a ligand for CCR4, and CCL17/CCL22 is closely associated with Foxp3+ tumor-infiltrating regulatory T cells (Ti-Tregs) [220]. Marshall, L.A. et al. added a selective small molecule CCR4 antagonist (CCR4-351) to a mouse model of BC in vivo and in vitro, which blocked CCL17 and CCL22, ultimately leading to Treg suppression [221]. Although CCR4 has pro-growth and metastatic effects on BC, there are fewer experimental results on the efficacy of anti-CCR4 antibodies in BC, and further validation and exploration are needed.

5.6.3. CCR5/CCL5

The chemokine CC motif-coordinated-5 (CCL5), also known as activation-regulated, and normally expressed and secreted by T cells, is a cell membrane protein that is a member of the G protein-coupled receptor superfamily [222]. It has been shown that CCL5 recruits Tregs via CCR5 and stimulates TGF-β to block the tumor killing function of CD8+ T cells [223]. Maraviroc (MVC) was originally used as a therapeutic HIV antiretroviral CCR5 blocker, and as one of the most valuable blockers in the anti-CCL5-CCR5 axis, it is widely used. Pervaiz et al. has demonstrated that blocking CCR5 with MVC reduces the proliferation and migration of metastatic breast cancer, and the drug significantly inhibited BC (MDA-MB-231) bone metastasis in nude mice [224]. MVC also prevents monocyte recruitment to tumors and significantly inhibits tumor growth in the rapidly progressing tumors (PT) of periductal mesenchymal cells in the breast [225].

5.7. Interference with Treg Metabolism

5.7.1. Adenosine Inhibitors

Many studies have shown that Tregs are highly expressive of the extracellular nucleic acid exonucleases CD39 and CD73. They produce adenosine via intra-tumoral ATP and play a role in tumor immunosuppression. Therefore more and more studies are finding that adenosine signaling may be a key target for cancer therapy [226,227,228,229]. Extracellular adenosine is known to activate cellular signaling pathways via one of four G protein-coupled adenosine receptors: A1, A2A, A2B and A3. The proliferation of adenosine in the pericellular region has been shown to upregulate both the activity and amount of Treg, and to inhibit Teff inhibition via stimulation of the type 2 purinergic adenosine receptor (A2AR) [230,231,232]. In contrast to the manifestation of significant tumor resistance found in mouse models knocked down for CD39 and CD73, tumor rejection was also seen in A2AR-deficient animal experiments [233,234,235]. A recent study collected transcriptomic and pathological data from 1904 BC tumors (124 fresh biopsies) by PCR. The results showed that A2AR protein was positively correlated with PD-1 protein and negatively correlated with CTLA-4 protein, and was involved in tumor proliferation and metastasis [236]. SRF617, a novel anti-CD39 antibody, regulates CD39 in vivo immune cell levels and allows for an increased infiltration of CD8+ T cells in the TME [237]. Menzel S et al. used a 15 kD monomeric nanoscale antibody (SB24) that effectively antagonizes soluble CD39 and the ATP degradation of cell surface CD39 [238].

The use of anti-CD73 antibody inhibited tumor growth in E0771 BC mice and also improved the outcome of tumor radiotherapy [239,240]. Researchers have found that in preclinical models of solid tumors such as breast and colorectal cancer, the combination of an anti-A2AR antibody (CPI-444) with an anti-PD-1 or anti-CTLA-4 antibody inhibits tumor growth and is more effective than monotherapy [237]. In order to improve the effectiveness of anti-A2AR antibodies, more and more studies have begun to use them in combination with other drugs, greatly increasing the direction of application.

5.7.2. Indoleamine 2,3-Dioxygenase (IDO) Inhibitors

IDO is an important player in the regulation of T cell proliferation and metabolism in cancer. Indoleamine 2,3-dioxygenase 1 (IDO1) is a tryptophan catabolic arthritase that is abundantly expressed in various metastatic tumors [241]. Clinical trials of indolimod (1-D-MT) (NCT01042535) in combination with adenovirus-p53, epalrestat (NCT03291054), and nafpurimod (GDC-0919) (NCT02471846) in combination with atezolizumab have been conducted in BC, but the results are subject to further study [242]. Combination therapies containing anti-CTLA-4, anti-PD-1/PD-L1 and IDO1 inhibitors have been shown to significantly downregulate Treg levels in vivo [243]. Studies of CSCs in a 4T1 BC tumor model also revealed that by inducing immunogenic cell death (ICD) and blocking IDO, Treg numbers and tryptophan depletion can be reduced and CSCs effectively eliminated [244]. These preliminary studies are exciting, but further studies are needed to elucidate more valuable clues about IDO inhibitors on cancer.

5.8. Foxp3 Vaccine

The importance of the transcription factor Foxp3 for Tregs and the uncertainty about the prognosis of BC have already been mentioned. However, vaccines against Foxp3 are still considered a way to deplete Tregs, since Foxp3 is a nuclear product and is not expressed on the membrane surface of Tregs. Therefore, the use of monoclonal antibodies is unable to act on Foxp3, and Foxp3 mRNA-transfected DCs are beginning to be used as vaccines. Inoculation into melanoma and thymoma mice preferentially depleted Foxp3+ Tregs, and the cytotoxicity of the vaccine was comparable to that of anti-CD25 antibodies [245]. Candia et al. started to use a binding peptide (P60) that affects Foxp3 nuclear translocation and could effectively inhibit the tumor-intrinsic effect of Foxp3 in experimental BC, and reduces tumor cell viability and migration [246]. Ding et al. combined P60 with the tumor tissue-specific matrix metalloproteinase protease 2/9 (MMP2/9) to form fusion proteins 6 (P60-MMPs), which can be specifically targeted to the interior of 4T1 BCs for degradation to P60. Once P60 binds to Foxp3, it downregulates the activity of Tregs and inhibits BC cell growth and lung metastasis [247]. Future research should continue to delve deeply into the complex relationship between Foxp3 and breast cancer. Researchers should delve deeper into understanding the connection between Treg cells and cancer by examining their interactions with other proteins, the control of gene expression and their impact on the immune system.

5.9. Exosomes and Tregs

It has been demonstrated that exosomes secreted by Tregs contain a variety of non-coding RNAs (ncRNAs), microRNAs (miRNAs) and messenger RNAs (mRNAs). ncRNAs include microRNAs (miRNAs), long-chain non-coding RNAs (lncRNAs) and cyclic RNAs (circRNAs), which are widely involved in tumor signaling and phenotyping. ncRNAs are also key regulators of the immune system, regulating the development, homeostasis and function of Tregs, as well as Treg development, homeostasis and function [146,248,249,250,251,252]. After the discovery of miRNAs, it has been demonstrated that miR-142-5p post-transcriptionally inhibits the expression of the cAMP hydrolase phosphodiesterase-3b, thereby controlling the function of Tregs [253]. In BC, the lncRNA of small nucleolar RNA host gene 1 (SNHG1) competitively binds to miR-448 and inhibits the expression of IDO, thereby downregulating Treg differentiation and controlling immune escape from BC [254]. When miR-21 is silenced, the expression of the tumor suppressor phosphatase and tensor protein homologue (PTEN) goes up. This changes how the Akt pathway is activated, which in turn prevents the growth of CCR6+ Tregs [255]. It was found that miR-520b upregulated PTEN in MCF-7 BC cells. miR-520b inhibitor increased the expression of IFNγ and decreased the expression of Foxp3. It can 15 olarizes macrophages to M1, thus inhibiting tumor growth [256]. The detailed structure of Treg-EVs is shown in Figure 6.

Figure 6.

Figure 6

Schematic representation of the structure and composition of Treg-Evs. Treg-EV endonucleic acids: DNA, mRNA, miRNA, lncRNA and circRNA. Common proteins of Treg-EVs are classified as membrane proteins: TCR/CD3, membrane transporter proteins (flotillin), fusion proteins (annnexins), tetratransmembrane proteins (CD63), cell adhesion-associated proteins (integrins) and lysosomal-related membrane proteins (LAMP-1). Intracellular proteins: heat shock protein (HSP70), endosomal sorting complex for transport (ESCRT), auxiliary protein components (TSG101), GAPDH and cell-specific proteins related to Treg cell surface proteins (e.g., CD4, CD25, CTLA-4, CD73, CD81, etc.).

5.10. Nano-Engineered Targeting of Tregs

More and more studies have found that systemic inhibition of Tregs is less efficient in tumor therapy, while the transcriptome of intra-tumor Tregs and peripheral Tregs has been shown to differ. Therefore, more and more scholars have started to target Tregs from nano-loaded drugs to inhibit tumor growth in order to improve the efficiency of treatment [119,257,258] (Table 1). Combining nanoparticles (NPs) with immune targeting anti-CTLA-4 antibody and anti-PD-1 antibody can increase the efficiency of immunotherapy while improving the precision [259,260]. In addition, a novel micellar nanocarrier was created by combining polyethylene glycol (PEG) with the IDO inhibitor NLG919 and incorporating a Fmoc moiety for increased stability. The carrier was packaged with paclitaxel (PTX) and delivered to a 4T1 tumor mouse model. The results showed an increase in FN-γ+CD4+ and CD8+ T, and a significant decrease in Tregs [261]. The combination of tLyp1 peptide-modified Tregs targeting a hybrid therapeutic NP (tLyp1-hNP) targeted Nrp1 receptors and CTLA-4 in Tregs to further enhance Teff cell function and anticancer effects [262]. Similarly, a curcumin analog (CA) encapsulated with α-lactalbumin (α-LA) constituting NPs has been used to target and inhibit the Nrp1 receptor in Tregs, resulting in anticancer effects [263]. Domvri K et al. designed specialized copper sulfide nanocarriers (CuSNC) encapsulated with Epacadostat/Dasatinib (EPDA) complexes to nano-target Tregs in a mouse model of triple-negative BC 4T1 tumors and found that CuS/EPDA inhibited metastatic BC tumor growth in combination with anti-PD-L1 drugs [264]. Other scholars combined physical anticancer therapy with nanomedicine therapy. By loading IR-780 photothermal sensitiser combined with imatinib and glucocorticoid-induced TNF receptor family-related protein (GITR-PLGA) NP, the inhibitory function of Tregs was downregulated by photothermal action and immunosuppression together to enhance the antitumor ability of Teff [265]. The use of NPs composed of highly crystalline IONPs in combination with photothermal therapy (PTT) as locally targeted therapies has also become a new research direction. It can enhance drug penetration, maintain drug concentration around tumor Tregs, inhibit the growth of 4T1 tumor mouse models, and produce a distant effect of inhibiting distal tumors [266]. Similarly, combining two different drugs together and then delivering them in vivo by nanotechnology is also a good option using a pre-drug NP (DOX/IND@NPs) based on a mouse model of BC, which delivered adriamycin (DOX) and indolimod (IND) to block the IDO pathway, further suppressing Treg levels and generating antitumor immunity [267]. Zhang L et al. found that Treg-specific YTHDF1-deficient mice inhibited melanoma tumor growth without affecting peripheral immune homeostasis, but this resulted in increased apoptosis and an impaired suppressive function of Tregs in TME [268]. Tian et al. used lonidamine (LND) and xylosepine (Sy) lactate modulators to target the interior of the TME by way of NPs, thereby increasing the number of NKs and Tregs [269]. An engineered cell membrane to PD-1 receptor-presenting membrane-encapsulated paclitaxel dimer NPs (PD-1@PTX 2 NPs) selectively binds to PD-L1 ligands on the BC surface and can release NPs, resulting in a 3.2-fold depletion of Tregs in vivo in mice, exhibiting a 71.3% tumor growth inhibition [270], using anti-CD80 antibody-modified biodegradable PCL-Hyd-PEG vesicles carrying NP (EAC-NP), combined with the HSP70 chaperoning polypeptide (HCP) and a demethylated CpG matrix (CpG ODN) adjuvant. The drug can be specifically targeted to APC and can increase the ratio of CD4+ T/Tregs and CD8+ T/Tregs, thus effectively fighting BC cells [271]. By encapsulating specific siRNAs (e.g., A2AR; CD73), NPs can be targeted against the metabolism of Tregs within the tumor to control tumor growth [237,272].

Table 1.

NP targeting of Treg-specific cells.

Nanocarrier Size (nm) Supportive Measures Treg Level Other Marker Levels Breast Cancer Model Ref.
Lipid 176.5 ± 62.23 nm UA Down pSTAT5; IL-10; IL-6 ↓ 4T1 mice [267]
PEG2k-Fmoc-NLG 90 nm PTX Down IFN-γ+ CD4+; CD8+ T; M1 Macrophages; G-MDSC ↑ M2 Macrophages ↓ 4T1.2 mice [259]
DOX/IND@NPs 104 ± 3.21 nm IND+DOX Down CD8+ T ↑; VEGF; MMP9; CD31 ↓ 4T1 mice [259]
PNT/DOX NPs 232.0 ± 11.5 nm DOX+R837 Down IL-6; IL-12; TNF-α; IFN-γ; DC ↑ 4T1 mice [267]
L@S/L 100 nm LND+Sy Down M1 Macrophages; NK ↑ M2 Macrophages; Lactic acid ↓ 4T1 mice [267]
PEG2k-Fmoc-IL36 <450 nm Anti-CTLA-4mAb Down IFN-γ+ CD4+T ↑ IFN-γ+ CD8+ T ↑ 4T1.2 Lung metastasis mice [259]
ChLa NPs 100 nm CD73-specific siRNA+DC vaccine Down IFN-γ ↑ CD73; A2AR; IL-10; IL-17 ↓ 4T1 mice [259]
PCL NPs 100 nm A2AR-specific siRNA Down IFN-γ ↑ IL-10; A2AR ↓ 4T1 mice [259]
PD-1@PTX 2 NPs 203.7 nm PTX Down TNF-α; IFN-γ ↑; CD8+ T ↑ (3.2 times) 4T1 mice [259]
DACss 73.67 ± 1.80 nm DMC+Anti-PD-1mAb+PDT Down ROS ↑ CD80+ CD86+ DC ↑ 4T1 mice [270]
CA@α-LA 175.0 ± 8.4 nm Anti-Nrp-1 mAb Down Caspase-3; Bcl-2 ↑ VEGF ↓ 4T1 mice [259]
Polymer-coated IONPs 30.7 ± 1.8 nm Anti-CTLA-4 mAb+PTT Down CD8+ T ↑ 4T1 mice [270]
CuS 84 ± 3.0 nm EPDA +PTT Down ROS ↑ Ki-67; IDO-1; c-KIT; EPHA2; PDGFRβ ↓ 4T1 mice [259]
PCL-Hyd-PEG 150 nm Tumor endogenous antigens (HCP)+ adjuvants CpG ODN+ Anti-CD80 mAb Down IFN-γ; CD4+ T; CD8+ T ↑ 4T1 rat [259]

Abbreviations: UA—Ursolic acid; pSTAT5—transcription 5; PEG—polyethylene glycol; PTX—paclitaxel; G-MDSC—granulocytic myeloid-derived suppressor cell; IND—indoximod; DOX—doxorubicin; NPs—nanoparticles; MMP—matrix metalloproteinase; R837—imiquimod; LND—lonidamine; Sy—syrosingopine; ChLa—chitosan–lactate; PCL—PEG–chitosan–lactate; DMC—demethylcantharidin; PDT/PTT—photodynamic therapy; DACss—supramolecular photodynamic nanoparticles; OS—reaction oxygen; CA—curcumin analog; α-LA—α-lactalbumin; Bcl-2—B cell lymphoma-2; IONPs—iron-oxide nanoparticles; CuS—copper sulfide; EPDA—epacadostat/dasatinib; PCL—poly ε-caprolactone.

Overall, the use of genetic engineering and nanotechnology to inhibit Tregs by direct or indirect means is also a promising therapeutic approach, which exhibits a high degree of uptake and specificity that warrant a continued in-depth investigation.

5.11. Tregs in Combination with Radiotherapy

A growing number of studies have found that the synergistic effect of radiation therapy (RT) with immune cells enhances the antitumor effect. It also induces chemotherapeutic factors and modulates cell surface molecules to enhance T-cell recruitment [273,274,275]. Treg counts during RT can also serve as an important indicator of dose adjustment [276]. Not only can RT achieve therapeutic effects in terms of systemic immune cells through Treg, but it was also found that in a poorly immunogenic mouse cancer model, RT treatment after the blockade of TGFβ effectively generated CD8+ T cell responses against multiple endogenous tumor antigens and inhibited tumor growth [277]. Further studies found that RT combined with a TGFβ inhibitor effectively inhibited Treg infiltration in mice with low levels of activin A (TSA) BC, but showed the opposite result in a 4T1 BC tumor model with high activin A expression [196]. To enhance the distant effect (AE) of RT, recent studies have shown that the combination of the anti-alcohol drug disulfiram (DSF) with copper (DSF/Cu) complexes and RT can reduce the number of Tregs, and increase the number of CD8+ and CD4+ cells in a 4T1 BC mouse model [278]. Such studies provide new insights into the Treg pathway for antitumor therapy and contribute to the development of new therapeutic strategies for tumor immunosuppression.

6. Challenges

Although the results of preclinical studies are encouraging, challenges remain in translating Treg-targeted therapies into clinical practice. Achieving specificity in targeting Tregs without compromising systemic immune tolerance is a major hurdle. Tregs maintain immune homeostasis in the immune system. The systemic depletion of Tregs may have adverse consequences. The main challenge is its potential to trigger serious immune-related adverse reactions (irAEs) [279,280], and inflammatory damage to organs such as colitis and dermatitis, and rare diseases such as aplastic anemia [281,282,283], since Tregs exhibit a high degree of heterogeneity. In the TME, they are predominantly immunosuppressive, whereas in the peripheral blood, they mainly maintain immune homeostasis. Therefore, the specific depletion of Tregs is a challenging task [284]. In addition, many of Treg targets (e.g., CTLA-4, PD-1, GITR, OX40, etc.) are expressed in other types of immune cells, and in particular, Teff and antigen-presenting cells may attenuate the specificity of treatment [285,286]. There are other factors in the TME (e.g., TGF-β, VEGF, etc.) that promote the recruitment and amplification of Tregs. Once targeted, Tregs may trigger other immune mechanisms to promote compensation [287]. All these reasons may complicate the treatment of targeted Tregs. Current research suggests that anti-CTLA4 has more side effects than anti-PD-1, possibly because anti-PD-1 targets the TME, while anti-CTLA4 has a more aggregated effect [288,289]. In preclinical trials, the probability of irAEs was found to be 90% and 70% for anti-CTLA4 and anti-PD-1, respectively [290]. Ipilimumab alone does cause significant adverse effects based on multi-organ inflammation. More severe irAEs occur when combination therapy is used [291]. In order to improve targeting ability and reduce side effects, it has been proposed that the transient depletion of Tregs, short-term depletion, can inhibit the growth of 4T1.2 BCs and reduce the occurrence of irAEs [292]. Dees et al. proposed the selective depletion of tumor-infiltrating Tregs while retaining less inhibitory naïve and peripheral Tregs to reduce the incidence of irAE [293]. Some scholars also found that tumor-specific co-suppressor receptors (e.g., TIM3, LAG3, and TIGIT, etc.) are highly expressed in a subpopulation of tumor-infiltrating Tregs. Thus, tumor-specific co-suppressor receptors started to be targeted in combination with photoimmunotherapy and the induction of local Tregs depletion [289,294]. In addition, Treg metabolic pathway inhibitors (e.g., TLR8) and nano-engineered Tregs can also contribute to improved targeting selectivity [295,296].

7. Future Directions

In the future, it is possible to combine Tregs as carriers with nano-anticancer drugs. Tregs play an immunomodulatory role in the TME, whereas anticancer drugs act directly on tumor cells. This approach can highlight the advantages of Tregs in the TME. It also improves the anticancer effect and reduces systemic toxicity. The relationship between Treg-EV and ASC-EV in BC can also be further investigated, along with the development of a novel biological nanocarrier system via special exosomes. Future nano-engineered Tregs represent an emerging and promising therapeutic strategy. Targeting tumors or other pathological states more effectively is possible by combining the precise delivery of nanotechnology with the immunomodulatory function of Tregs. Although most of the studies are still in the preclinical stage, the rapid development of this field holds promise for the future treatment of cancer immunotherapy and other immune-related diseases.

8. Conclusions

Tregs play a complex role in BC progression, exerting immunosuppressive and regulatory functions in TME. Although the presence of Tregs is associated with a poor prognosis, recent advances in immunotherapy targeting Tregs provide new avenues for interventions. By selectively modulating Treg activity and quantity, the maximum potential of the immune system against BC is unleashed, while minimizing off-target effects. Ongoing research aimed at unravelling the complexity of Treg biology and optimizing therapeutic strategies is expected to improve outcomes for BC patients.

Acknowledgments

The authors are grateful to BioGDP.com for support with mapping tools.

Author Contributions

Conceptualization, H.Z. and O.F.; methodology, H.Z. and L.P.; formal analysis, A.E.; resources, S.K. and L.P.; data curation, H.Z.; writing—original draft preparation, H.Z.; writing—review and editing, O.F., L.P. and S.K.; visualization, O.F.; supervision, L.P.; project administration, L.P.; funding acquisition, L.P. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research received no external funding.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Ferlay J., Colombet M., Soerjomataram I., Parkin D.M., Piñeros M., Znaor A., Bray F. Cancer statistics for the year 2020: An overview. Int. J. Cancer. 2021;149:778–789. doi: 10.1002/ijc.33588. [DOI] [PubMed] [Google Scholar]
  • 2.Bray F., Laversanne M., Sung H., Ferlay J., Siegel R.L., Soerjomataram I., Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024;74:229–263. doi: 10.3322/caac.21834. [DOI] [PubMed] [Google Scholar]
  • 3.Mahmood U., Hanlon A.L., Koshy M., Buras R., Chumsri S., Tkaczuk K.H., Cheston S.B., Regine W.F., Feigenberg S.J. Increasing national mastectomy rates for the treatment of early stage breast cancer. Ann. Surg. Oncol. 2013;20:1436–1443. doi: 10.1245/s10434-012-2732-5. [DOI] [PubMed] [Google Scholar]
  • 4.Kroman N., Holtveg H., Wohlfahrt J., Jensen M.B., Mouridsen H.T., Blichert-Toft M., Melbye M. Effect of breast-conserving therapy versus radical mastectomy on prognosis for young women with breast carcinoma. Cancer. 2004;100:688–693. doi: 10.1002/cncr.20022. [DOI] [PubMed] [Google Scholar]
  • 5.Fisher B., Anderson S., Bryant J., Margolese R.G., Deutsch M., Fisher E.R., Jeong J.H., Wolmark N. Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer. N. Engl. J. Med. 2002;347:1233–1241. doi: 10.1056/NEJMoa022152. [DOI] [PubMed] [Google Scholar]
  • 6.Regan M.M., Francis P.A., Pagani O., Fleming G.F., Walley B.A., Viale G., Colleoni M., Láng I., Gómez H.L., Tondini C., et al. Absolute Benefit of Adjuvant Endocrine Therapies for Premenopausal Women With Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer: TEXT and SOFT Trials. J. Clin. Oncol. 2016;34:2221–2231. doi: 10.1200/JCO.2015.64.3171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.DeNardo D.G., Coussens L.M. Inflammation and breast cancer. Balancing immune response: Crosstalk between adaptive and innate immune cells during breast cancer progression. Breast Cancer Res. 2007;9:212. doi: 10.1186/bcr1746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Waldman A.D., Fritz J.M., Lenardo M.J. A guide to cancer immunotherapy: From T cell basic science to clinical practice. Nat. Rev. Immunol. 2020;20:651–668. doi: 10.1038/s41577-020-0306-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sharma N., Vacher J., Allison J.P. TLR1/2 ligand enhances antitumor efficacy of CTLA-4 blockade by increasing intratumoral Treg depletion. Proc. Natl. Acad. Sci. USA. 2019;116:10453–10462. doi: 10.1073/pnas.1819004116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Coussens L.M., Pollard J.W. Leukocytes in mammary development and cancer. Cold Spring Harb. Perspect. Biol. 2011;3:a003285. doi: 10.1101/cshperspect.a003285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Vignali D.A., Collison L.W., Workman C.J. How regulatory T cells work. Nat. Rev. Immunol. 2008;8:523–532. doi: 10.1038/nri2343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bates G.J., Fox S.B., Han C., Leek R.D., Garcia J.F., Harris A.L., Banham A.H. Quantification of regulatory T cells enables the identification of high-risk breast cancer patients and those at risk of late relapse. J. Clin. Oncol. 2006;24:5373–5380. doi: 10.1200/JCO.2006.05.9584. [DOI] [PubMed] [Google Scholar]
  • 13.Bohling S.D., Allison K.H. Immunosuppressive regulatory T cells are associated with aggressive breast cancer phenotypes: A potential therapeutic target. Mod. Pathol. 2008;21:1527–1532. doi: 10.1038/modpathol.2008.160. [DOI] [PubMed] [Google Scholar]
  • 14.Tesmer L.A., Lundy S.K., Sarkar S., Fox D.A. Th17 cells in human disease. Immunol. Rev. 2008;223:87–113. doi: 10.1111/j.1600-065X.2008.00628.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Weinberg S.E., Chandel N.S. Targeting mitochondria metabolism for cancer therapy. Nat. Chem. Biol. 2015;11:9–15. doi: 10.1038/nchembio.1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Galluzzi L., Kepp O., Vander Heiden M.G., Kroemer G. Metabolic targets for cancer therapy. Nat. Rev. Drug Discov. 2013;12:829–846. doi: 10.1038/nrd4145. [DOI] [PubMed] [Google Scholar]
  • 17.Sather B.D., Treuting P., Perdue N., Miazgowicz M., Fontenot J.D., Rudensky A.Y., Campbell D.J. Altering the distribution of Foxp3+ regulatory T cells results in tissue-specific inflammatory disease. J. Exp. Med. 2007;204:1335–1347. doi: 10.1084/jem.20070081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Josefowicz S.Z., Lu L.F., Rudensky A.Y. Regulatory T cells: Mechanisms of differentiation and function. Annu. Rev. Immunol. 2012;30:531–564. doi: 10.1146/annurev.immunol.25.022106.141623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Chaudhry A., Rudensky A.Y. Control of inflammation by integration of environmental cues by regulatory T cells. J. Clin. Investig. 2013;123:939–944. doi: 10.1172/JCI57175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Sakaguchi S., Yamaguchi T., Nomura T., Ono M. Regulatory T cells and immune tolerance. Cell. 2008;133:775–787. doi: 10.1016/j.cell.2008.05.009. [DOI] [PubMed] [Google Scholar]
  • 21.Togashi Y., Nishikawa H. Regulatory T Cells: Molecular and Cellular Basis for Immunoregulation. Curr. Top. Microbiol. Immunol. 2017;410:3–27. doi: 10.1007/82_2017_58. [DOI] [PubMed] [Google Scholar]
  • 22.Toda A., Piccirillo C.A. Development and function of naturally occurring CD4+CD25+ regulatory T cells. J. Leukoc. Biol. 2006;80:458–470. doi: 10.1189/jlb.0206095. [DOI] [PubMed] [Google Scholar]
  • 23.Hori S., Takahashi T., Sakaguchi S. Control of autoimmunity by naturally arising regulatory CD4+ T cells. Adv. Immunol. 2003;81:331–371. doi: 10.1016/s0065-2776(03)81008-8. [DOI] [PubMed] [Google Scholar]
  • 24.Piccirillo C.A., Thornton A.M. Cornerstone of peripheral tolerance: Naturally occurring CD4+CD25+ regulatory T cells. Trends Immunol. 2004;25:374–380. doi: 10.1016/j.it.2004.04.009. [DOI] [PubMed] [Google Scholar]
  • 25.Picca C.C., Larkin J., 3rd, Boesteanu A., Lerman M.A., Rankin A.L., Caton A.J. Role of TCR specificity in CD4+ CD25+ regulatory T-cell selection. Immunol. Rev. 2006;212:74–85. doi: 10.1111/j.0105-2896.2006.00416.x. [DOI] [PubMed] [Google Scholar]
  • 26.King C., Sarvetnick N. Organ-specific autoimmunity. Curr. Opin. Immunol. 1997;9:863–871. doi: 10.1016/S0952-7915(97)80191-4. [DOI] [PubMed] [Google Scholar]
  • 27.Groux H., O’Garra A., Bigler M., Rouleau M., Antonenko S., de Vries J.E., Roncarolo M.G. A CD4+ T-cell subset inhibits antigen-specific T-cell responses and prevents colitis. Nature. 1997;389:737–742. doi: 10.1038/39614. [DOI] [PubMed] [Google Scholar]
  • 28.Francisco L.M., Salinas V.H., Brown K.E., Vanguri V.K., Freeman G.J., Kuchroo V.K., Sharpe A.H. PD-L1 regulates the development, maintenance, and function of induced regulatory T cells. J. Exp. Med. 2009;206:3015–3029. doi: 10.1084/jem.20090847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gavin M.A., Rasmussen J.P., Fontenot J.D., Vasta V., Manganiello V.C., Beavo J.A., Rudensky A.Y. Foxp3-dependent programme of regulatory T-cell differentiation. Nature. 2007;445:771–775. doi: 10.1038/nature05543. [DOI] [PubMed] [Google Scholar]
  • 30.Feuerer M., Hill J.A., Mathis D., Benoist C. Foxp3+ regulatory T cells: Differentiation, specification, subphenotypes. Nat. Immunol. 2009;10:689–695. doi: 10.1038/ni.1760. [DOI] [PubMed] [Google Scholar]
  • 31.Cassis L., Aiello S., Noris M. Natural versus adaptive regulatory T cells. Contrib. Nephrol. 2005;146:121–131. doi: 10.1159/000082072. [DOI] [PubMed] [Google Scholar]
  • 32.Zheng S.G., Wang J., Wang P., Gray J.D., Horwitz D.A. IL-2 is essential for TGF-beta to convert naive CD4+CD25- cells to CD25+Foxp3+ regulatory T cells and for expansion of these cells. J. Immunol. 2007;178:2018–2027. doi: 10.4049/jimmunol.178.4.2018. [DOI] [PubMed] [Google Scholar]
  • 33.Smigiel K.S., Richards E., Srivastava S., Thomas K.R., Dudda J.C., Klonowski K.D., Campbell D.J. CCR7 provides localized access to IL-2 and defines homeostatically distinct regulatory T cell subsets. J. Exp. Med. 2014;211:121–136. doi: 10.1084/jem.20131142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Panduro M., Benoist C., Mathis D. Tissue Tregs. Annu. Rev. Immunol. 2016;34:609–633. doi: 10.1146/annurev-immunol-032712-095948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Burzyn D., Benoist C., Mathis D. Regulatory T cells in nonlymphoid tissues. Nat. Immunol. 2013;14:1007–1013. doi: 10.1038/ni.2683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Huang L., Guo Y., Liu S., Wang H., Zhu J., Ou L., Xu X. Targeting regulatory T cells for immunotherapy in melanoma. Mol. Biomed. 2021;2:11. doi: 10.1186/s43556-021-00038-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Pere H., Montier Y., Bayry J., Quintin-Colonna F., Merillon N., Dransart E., Badoual C., Gey A., Ravel P., Marcheteau E., et al. A CCR4 antagonist combined with vaccines induces antigen-specific CD8+ T cells and tumor immunity against self antigens. Blood. 2011;118:4853–4862. doi: 10.1182/blood-2011-01-329656. [DOI] [PubMed] [Google Scholar]
  • 38.Ma Y., Xu X., Wang H., Liu Y., Piao H. Non-coding RNA in tumor-infiltrating regulatory T cells formation and associated immunotherapy. Front. Immunol. 2023;14:1228331. doi: 10.3389/fimmu.2023.1228331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Mosmann T.R., Cherwinski H., Bond M.W., Giedlin M.A., Coffman R.L. Two types of murine helper T cell clone. I. Definition according to profiles of lymphokine activities and secreted proteins. J. Immunol. 1986;136:2348–2357. doi: 10.4049/jimmunol.136.7.2348. [DOI] [PubMed] [Google Scholar]
  • 40.Zhu J., Paul W.E. CD4 T cells: Fates, functions, and faults. Blood. 2008;112:1557–1569. doi: 10.1182/blood-2008-05-078154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Di Pilato M., Kim E.Y., Cadilha B.L., Prüßmann J.N., Nasrallah M.N., Seruggia D., Usmani S.M., Misale S., Zappulli V., Carrizosa E., et al. Targeting the CBM complex causes T(reg) cells to prime tumours for immune checkpoint therapy. Nature. 2019;570:112–116. doi: 10.1038/s41586-019-1215-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Daniel V., Wang H., Sadeghi M., Opelz G. Interferon-gamma producing regulatory T cells as a diagnostic and therapeutic tool in organ transplantation. Int. Rev. Immunol. 2014;33:195–211. doi: 10.3109/08830185.2013.845181. [DOI] [PubMed] [Google Scholar]
  • 43.Xue L., Barrow A., Pettipher R. Novel function of CRTH2 in preventing apoptosis of human Th2 cells through activation of the phosphatidylinositol 3-kinase pathway. J. Immunol. 2009;182:7580–7586. doi: 10.4049/jimmunol.0804090. [DOI] [PubMed] [Google Scholar]
  • 44.Noval Rivas M., Burton O.T., Wise P., Charbonnier L.M., Georgiev P., Oettgen H.C., Rachid R., Chatila T.A. Regulatory T cell reprogramming toward a Th2-cell-like lineage impairs oral tolerance and promotes food allergy. Immunity. 2015;42:512–523. doi: 10.1016/j.immuni.2015.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Mizukami Y., Kono K., Kawaguchi Y., Akaike H., Kamimura K., Sugai H., Fujii H. CCL17 and CCL22 chemokines within tumor microenvironment are related to accumulation of Foxp3+ regulatory T cells in gastric cancer. Int. J. Cancer. 2008;122:2286–2293. doi: 10.1002/ijc.23392. [DOI] [PubMed] [Google Scholar]
  • 46.Halim L., Romano M., McGregor R., Correa I., Pavlidis P., Grageda N., Hoong S.J., Yuksel M., Jassem W., Hannen R.F., et al. An Atlas of Human Regulatory T Helper-like Cells Reveals Features of Th2-like Tregs that Support a Tumorigenic Environment. Cell Rep. 2017;20:757–770. doi: 10.1016/j.celrep.2017.06.079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Qianmei Y., Zehong S., Guang W., Hui L., Lian G. Recent advances in the role of Th17/Treg cells in tumor immunity and tumor therapy. Immunol. Res. 2021;69:398–414. doi: 10.1007/s12026-021-09211-6. [DOI] [PubMed] [Google Scholar]
  • 48.Voo K.S., Wang Y.H., Santori F.R., Boggiano C., Wang Y.H., Arima K., Bover L., Hanabuchi S., Khalili J., Marinova E., et al. Identification of IL-17-producing FOXP3+ regulatory T cells in humans. Proc. Natl. Acad. Sci. USA. 2009;106:4793–4798. doi: 10.1073/pnas.0900408106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Massoud A.H., Charbonnier L.M., Lopez D., Pellegrini M., Phipatanakul W., Chatila T.A. An asthma-associated IL4R variant exacerbates airway inflammation by promoting conversion of regulatory T cells to TH17-like cells. Nat. Med. 2016;22:1013–1022. doi: 10.1038/nm.4147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.O’Sullivan C.C., Davarpanah N.N., Abraham J., Bates S.E. Current challenges in the management of breast cancer brain metastases. Semin. Oncol. 2017;44:85–100. doi: 10.1053/j.seminoncol.2017.06.006. [DOI] [PubMed] [Google Scholar]
  • 51.Wang J., Cai D., Ma B., Wu G., Wu J. Skewing the balance of regulatory T-cells and T-helper 17 cells in breast cancer patients. J. Int. Med. Res. 2011;39:691–701. doi: 10.1177/147323001103900301. [DOI] [PubMed] [Google Scholar]
  • 52.King C. New insights into the differentiation and function of T follicular helper cells. Nat. Rev. Immunol. 2009;9:757–766. doi: 10.1038/nri2644. [DOI] [PubMed] [Google Scholar]
  • 53.Maceiras A.R., Almeida S.C.P., Mariotti-Ferrandiz E., Chaara W., Jebbawi F., Six A., Hori S., Klatzmann D., Faro J., Graca L. T follicular helper and T follicular regulatory cells have different TCR specificity. Nat. Commun. 2017;8:15067. doi: 10.1038/ncomms15067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Chung Y., Tanaka S., Chu F., Nurieva R.I., Martinez G.J., Rawal S., Wang Y.H., Lim H., Reynolds J.M., Zhou X.H., et al. Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactions. Nat. Med. 2011;17:983–988. doi: 10.1038/nm.2426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Song H., Liu A., Liu G., Wu F., Li Z. T follicular regulatory cells suppress Tfh-mediated B cell help and synergistically increase IL-10-producing B cells in breast carcinoma. Immunol. Res. 2019;67:416–423. doi: 10.1007/s12026-019-09090-y. [DOI] [PubMed] [Google Scholar]
  • 56.Li M.O., Rudensky A.Y. T cell receptor signalling in the control of regulatory T cell differentiation and function. Nat. Rev. Immunol. 2016;16:220–233. doi: 10.1038/nri.2016.26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Hori S., Nomura T., Sakaguchi S. Control of regulatory T cell development by the transcription factor Foxp3. Science. 2003;299:1057–1061. doi: 10.1126/science.1079490. [DOI] [PubMed] [Google Scholar]
  • 58.Fontenot J.D., Gavin M.A., Rudensky A.Y. Pillars Article: Foxp3 Programs the Development and Function of CD4+CD25+ Regulatory T Cells. Nat. Immunol. 2003;4:330–336. doi: 10.1038/ni904. [DOI] [PubMed] [Google Scholar]
  • 59.Khattri R., Cox T., Yasayko S.A., Ramsdell F. An essential role for Scurfin in CD4+CD25+ T regulatory cells. Nat. Immunol. 2003;4:337–342. doi: 10.1038/ni909. [DOI] [PubMed] [Google Scholar]
  • 60.Rossetti M., Spreafico R., Consolaro A., Leong J.Y., Chua C., Massa M., Saidin S., Magni-Manzoni S., Arkachaisri T., Wallace C.A., et al. TCR repertoire sequencing identifies synovial Treg cell clonotypes in the bloodstream during active inflammation in human arthritis. Ann. Rheum. Dis. 2017;76:435–441. doi: 10.1136/annrheumdis-2015-208992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Paparo L., Nocerino R., Cosenza L., Aitoro R., D’Argenio V., Del Monaco V., Di Scala C., Amoroso A., Di Costanzo M., Salvatore F., et al. Epigenetic features of FoxP3 in children with cow’s milk allergy. Clin. Epigenet. 2016;8:86. doi: 10.1186/s13148-016-0252-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Huss D.J., Mehta D.S., Sharma A., You X., Riester K.A., Sheridan J.P., Amaravadi L.S., Elkins J.S., Fontenot J.D. In vivo maintenance of human regulatory T cells during CD25 blockade. J. Immunol. 2015;194:84–92. doi: 10.4049/jimmunol.1402140. [DOI] [PubMed] [Google Scholar]
  • 63.Kumar S., Wang J., Thomson A.W., Gandhi C.R. Hepatic stellate cells increase the immunosuppressive function of natural Foxp3+ regulatory T cells via IDO-induced AhR activation. J. Leukoc. Biol. 2017;101:429–438. doi: 10.1189/jlb.2A0516-239R. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Morikawa H., Ohkura N., Vandenbon A., Itoh M., Nagao-Sato S., Kawaji H., Lassmann T., Carninci P., Hayashizaki Y., Forrest A.R., et al. Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation. Proc. Natl. Acad. Sci. USA. 2014;111:5289–5294. doi: 10.1073/pnas.1312717110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Ohkura N., Hamaguchi M., Morikawa H., Sugimura K., Tanaka A., Ito Y., Osaki M., Tanaka Y., Yamashita R., Nakano N., et al. T cell receptor stimulation-induced epigenetic changes and Foxp3 expression are independent and complementary events required for Treg cell development. Immunity. 2012;37:785–799. doi: 10.1016/j.immuni.2012.09.010. [DOI] [PubMed] [Google Scholar]
  • 66.Smiline Girija A.S. Protean role of epigenetic mechanisms and their impact in regulating the Tregs in TME. Cancer Gene Ther. 2022;29:661–664. doi: 10.1038/s41417-021-00371-z. [DOI] [PubMed] [Google Scholar]
  • 67.Esteller M. Epigenetic gene silencing in cancer: The DNA hypermethylome. Hum. Mol. Genet. 2007;16:R50–R59. doi: 10.1093/hmg/ddm018. [DOI] [PubMed] [Google Scholar]
  • 68.Li J., Zhang X., Liu B., Shi C., Ma X., Ren S., Zhao X., Liu Y. The expression landscape of FOXP3 and its prognostic value in breast cancer. Ann. Transl. Med. 2022;10:801. doi: 10.21037/atm-22-3080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Sahin E., Sahin M. Epigenetical Targeting of the FOXP3 Gene by S-Adenosylmethionine Diminishes the Suppressive Capacity of Regulatory T Cells Ex Vivo and Alters the Expression Profiles. J. Immunother. 2019;42:11–22. doi: 10.1097/CJI.0000000000000247. [DOI] [PubMed] [Google Scholar]
  • 70.van Loosdregt J., Vercoulen Y., Guichelaar T., Gent Y.Y., Beekman J.M., van Beekum O., Brenkman A.B., Hijnen D.J., Mutis T., Kalkhoven E., et al. Regulation of Treg functionality by acetylation-mediated Foxp3 protein stabilization. Blood. 2010;115:965–974. doi: 10.1182/blood-2009-02-207118. [DOI] [PubMed] [Google Scholar]
  • 71.Kwon H.S., Lim H.W., Wu J., Schnölzer M., Verdin E., Ott M. Three novel acetylation sites in the Foxp3 transcription factor regulate the suppressive activity of regulatory T cells. J. Immunol. 2012;188:2712–2721. doi: 10.4049/jimmunol.1100903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Du T., Nagai Y., Xiao Y., Greene M.I., Zhang H. Lysosome-dependent p300/FOXP3 degradation and limits Treg cell functions and enhances targeted therapy against cancers. Exp. Mol. Pathol. 2013;95:38–45. doi: 10.1016/j.yexmp.2013.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Gerriets V.A., Kishton R.J., Johnson M.O., Cohen S., Siska P.J., Nichols A.G., Warmoes M.O., de Cubas A.A., MacIver N.J., Locasale J.W., et al. Foxp3 and Toll-like receptor signaling balance T(reg) cell anabolic metabolism for suppression. Nat. Immunol. 2016;17:1459–1466. doi: 10.1038/ni.3577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Dong Y., Yang C., Pan F. Post-Translational Regulations of Foxp3 in Treg Cells and Their Therapeutic Applications. Front. Immunol. 2021;12:626172. doi: 10.3389/fimmu.2021.626172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Tan H., Yang K., Li Y., Shaw T.I., Wang Y., Blanco D.B., Wang X., Cho J.H., Wang H., Rankin S., et al. Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation. Immunity. 2017;46:488–503. doi: 10.1016/j.immuni.2017.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Kajal K., Bose S., Panda A.K., Chakraborty D., Chakraborty S., Pati S., Sarkar T., Dhar S., Roy D., Saha S., et al. Transcriptional regulation of VEGFA expression in T-regulatory cells from breast cancer patients. Cancer Immunol. Immunother. 2021;70:1877–1891. doi: 10.1007/s00262-020-02808-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Sun Y., Wang Y., Lu F., Zhao X., Nie Z., He B. The prognostic values of FOXP3+ tumor-infiltrating T cells in breast cancer: A systematic review and meta-analysis. Clin. Transl. Oncol. 2023;25:1830–1843. doi: 10.1007/s12094-023-03080-1. [DOI] [PubMed] [Google Scholar]
  • 78.Liu L., Xiao W., Zhang C., Fan P., Zeng J., Yi J. The Potential of FOXP3 in Predicting Survival and Treatment Response in Breast Cancer. Int. J. Gen. Med. 2024;17:1233–1251. doi: 10.2147/IJGM.S454421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Zuo T., Wang L., Morrison C., Chang X., Zhang H., Li W., Liu Y., Wang Y., Liu X., Chan M.W., et al. FOXP3 is an X-linked breast cancer suppressor gene and an important repressor of the HER-2/ErbB2 oncogene. Cell. 2007;129:1275–1286. doi: 10.1016/j.cell.2007.04.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Stroukov W., Mastronicola D., Albany C.J., Catak Z., Lombardi G., Scottà C. OMIP-090: A 20-parameter flow cytometry panel for rapid analysis of cell diversity and homing capacity in human conventional and regulatory T cells. Cytom. Part A. 2023;103:362–367. doi: 10.1002/cyto.a.24720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Baecher-Allan C., Brown J.A., Freeman G.J., Hafler D.A. CD4+CD25high regulatory cells in human peripheral blood. J. Immunol. 2001;167:1245–1253. doi: 10.4049/jimmunol.167.3.1245. [DOI] [PubMed] [Google Scholar]
  • 82.Roncador G., Brown P.J., Maestre L., Hue S., Martínez-Torrecuadrada J.L., Ling K.L., Pratap S., Toms C., Fox B.C., Cerundolo V., et al. Analysis of FOXP3 protein expression in human CD4+CD25+ regulatory T cells at the single-cell level. Eur. J. Immunol. 2005;35:1681–1691. doi: 10.1002/eji.200526189. [DOI] [PubMed] [Google Scholar]
  • 83.Santegoets S.J., Dijkgraaf E.M., Battaglia A., Beckhove P., Britten C.M., Gallimore A., Godkin A., Gouttefangeas C., de Gruijl T.D., Koenen H.J., et al. Monitoring regulatory T cells in clinical samples: Consensus on an essential marker set and gating strategy for regulatory T cell analysis by flow cytometry. Cancer Immunol. Immunother. 2015;64:1271–1286. doi: 10.1007/s00262-015-1729-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Rodríguez-Perea A.L., Arcia E.D., Rueda C.M., Velilla P.A. Phenotypical characterization of regulatory T cells in humans and rodents. Clin. Exp. Immunol. 2016;185:281–291. doi: 10.1111/cei.12804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Plitas G., Konopacki C., Wu K., Bos P.D., Morrow M., Putintseva E.V., Chudakov D.M., Rudensky A.Y. Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer. Immunity. 2016;45:1122–1134. doi: 10.1016/j.immuni.2016.10.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Barcenilla H., Pihl M., Sjögren F., Magnusson L., Casas R. Regulatory T-Cell Phenotyping Using CyTOF. Methods Mol. Biol. 2023;2559:231–242. doi: 10.1007/978-1-0716-2647-4_15. [DOI] [PubMed] [Google Scholar]
  • 87.Bandura D.R., Baranov V.I., Ornatsky O.I., Antonov A., Kinach R., Lou X., Pavlov S., Vorobiev S., Dick J.E., Tanner S.D. Mass cytometry: Technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. Anal. Chem. 2009;81:6813–6822. doi: 10.1021/ac901049w. [DOI] [PubMed] [Google Scholar]
  • 88.Hartmann F.J., Mrdjen D., McCaffrey E., Glass D.R., Greenwald N.F., Bharadwaj A., Khair Z., Verberk S.G.S., Baranski A., Baskar R., et al. Single-cell metabolic profiling of human cytotoxic T cells. Nat. Biotechnol. 2021;39:186–197. doi: 10.1038/s41587-020-0651-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Ali H.R., Jackson H.W., Zanotelli V.R.T., Danenberg E., Fischer J.R., Bardwell H., Provenzano E., Rueda O.M., Chin S.F., Aparicio S., et al. Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer. Nat. Cancer. 2020;1:163–175. doi: 10.1038/s43018-020-0026-6. [DOI] [PubMed] [Google Scholar]
  • 90.Potter S.S. Single-cell RNA sequencing for the study of development, physiology and disease. Nat. Rev. Nephrol. 2018;14:479–492. doi: 10.1038/s41581-018-0021-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Yi G., Zhao Y., Xie F., Zhu F., Wan Z., Wang J., Wang X., Gao K., Cao L., Li X., et al. Single-cell RNA-seq unveils critical regulators of human FOXP3+ regulatory T cell stability. Sci. Bull. 2020;65:1114–1124. doi: 10.1016/j.scib.2020.01.002. [DOI] [PubMed] [Google Scholar]
  • 92.Savas P., Virassamy B., Ye C., Salim A., Mintoff C.P., Caramia F., Salgado R., Byrne D.J., Teo Z.L., Dushyanthen S., et al. Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis. Nat. Med. 2018;24:986–993. doi: 10.1038/s41591-018-0078-7. [DOI] [PubMed] [Google Scholar]
  • 93.Hashemi V., Maleki L.A., Esmaily M., Masjedi A., Ghalamfarsa G., Namdar A., Yousefi M., Yousefi B., Jadidi-Niaragh F. Regulatory T cells in breast cancer as a potent anti-cancer therapeutic target. Int. Immunopharmacol. 2020;78:106087. doi: 10.1016/j.intimp.2019.106087. [DOI] [PubMed] [Google Scholar]
  • 94.Neagu A.N., Whitham D., Buonanno E., Jenkins A., Alexa-Stratulat T., Tamba B.I., Darie C.C. Proteomics and its applications in breast cancer. Am. J. Cancer Res. 2021;11:4006–4049. [PMC free article] [PubMed] [Google Scholar]
  • 95.Qiu J., Xu L., Zeng X., Wu H., Liang F., Lv Q., Du Z. CCL5 mediates breast cancer metastasis and prognosis through CCR5/Treg cells. Front. Oncol. 2022;12:972383. doi: 10.3389/fonc.2022.972383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Brett E., Duscher D., Pagani A., Daigeler A., Kolbenschlag J., Hahn M. Naming the Barriers between Anti-CCR5 Therapy, Breast Cancer and Its Microenvironment. Int. J. Mol. Sci. 2022;23:14159. doi: 10.3390/ijms232214159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Ahmadvand S., Faghih Z., Montazer M., Safaei A., Mokhtari M., Jafari P., Talei A.R., Tahmasebi S., Ghaderi A. Importance of CD45RO+ tumor-infiltrating lymphocytes in post-operative survival of breast cancer patients. Cell. Oncol. 2019;42:343–356. doi: 10.1007/s13402-019-00430-6. [DOI] [PubMed] [Google Scholar]
  • 98.Shou J., Zhang Z., Lai Y., Chen Z., Huang J. Worse outcome in breast cancer with higher tumor-infiltrating FOXP3+ Tregs: A systematic review and meta-analysis. BMC Cancer. 2016;16:687. doi: 10.1186/s12885-016-2732-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Mahmoud S.M., Paish E.C., Powe D.G., Macmillan R.D., Lee A.H., Ellis I.O., Green A.R. An evaluation of the clinical significance of FOXP3+ infiltrating cells in human breast cancer. Breast Cancer Res. Treat. 2011;127:99–108. doi: 10.1007/s10549-010-0987-8. [DOI] [PubMed] [Google Scholar]
  • 100.Wang Y.A., Li X.L., Mo Y.Z., Fan C.M., Tang L., Xiong F., Guo C., Xiang B., Zhou M., Ma J., et al. Effects of tumor metabolic microenvironment on regulatory T cells. Mol. Cancer. 2018;17:168. doi: 10.1186/s12943-018-0913-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Kondĕlková K., Vokurková D., Krejsek J., Borská L., Fiala Z., Ctirad A. Regulatory T cells (TREG) and their roles in immune system with respect to immunopathological disorders. Acta Med. 2010;53:73–77. doi: 10.14712/18059694.2016.63. [DOI] [PubMed] [Google Scholar]
  • 102.Bromley S.K., Mempel T.R., Luster A.D. Orchestrating the orchestrators: Chemokines in control of T cell traffic. Nat. Immunol. 2008;9:970–980. doi: 10.1038/ni.f.213. [DOI] [PubMed] [Google Scholar]
  • 103.Kurose K., Ohue Y., Sato E., Yamauchi A., Eikawa S., Isobe M., Nishio Y., Uenaka A., Oka M., Nakayama E. Increase in activated Treg in TIL in lung cancer and in vitro depletion of Treg by ADCC using an antihuman CCR4 mAb (KM2760) J. Thorac. Oncol. 2015;10:74–83. doi: 10.1097/JTO.0000000000000364. [DOI] [PubMed] [Google Scholar]
  • 104.Barsheshet Y., Wildbaum G., Levy E., Vitenshtein A., Akinseye C., Griggs J., Lira S.A., Karin N. CCR8+FOXp3+ T(reg) cells as master drivers of immune regulation. Proc. Natl. Acad. Sci. USA. 2017;114:6086–6091. doi: 10.1073/pnas.1621280114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Eksteen B., Miles A., Curbishley S.M., Tselepis C., Grant A.J., Walker L.S., Adams D.H. Epithelial inflammation is associated with CCL28 production and the recruitment of regulatory T cells expressing CCR10. J. Immunol. 2006;177:593–603. doi: 10.4049/jimmunol.177.1.593. [DOI] [PubMed] [Google Scholar]
  • 106.Müller M., Carter S.L., Hofer M.J., Manders P., Getts D.R., Getts M.T., Dreykluft A., Lu B., Gerard C., King N.J., et al. CXCR3 signaling reduces the severity of experimental autoimmune encephalomyelitis by controlling the parenchymal distribution of effector and regulatory T cells in the central nervous system. J. Immunol. 2007;179:2774–2786. doi: 10.4049/jimmunol.179.5.2774. [DOI] [PubMed] [Google Scholar]
  • 107.Lin H.Y., Sun S.M., Lu X.F., Chen P.Y., Chen C.F., Liang W.Q., Peng C.Y. CCR10 activation stimulates the invasion and migration of breast cancer cells through the ERK1/2/MMP-7 signaling pathway. Int. Immunopharmacol. 2017;51:124–130. doi: 10.1016/j.intimp.2017.07.018. [DOI] [PubMed] [Google Scholar]
  • 108.Karnezis T., Farnsworth R.H., Harris N.C., Williams S.P., Caesar C., Byrne D.J., Herle P., Macheda M.L., Shayan R., Zhang Y.F., et al. CCL27/CCL28-CCR10 Chemokine Signaling Mediates Migration of Lymphatic Endothelial Cells. Cancer Res. 2019;79:1558–1572. doi: 10.1158/0008-5472.CAN-18-1858. [DOI] [PubMed] [Google Scholar]
  • 109.Kidani Y., Nogami W., Yasumizu Y., Kawashima A., Tanaka A., Sonoda Y., Tona Y., Nashiki K., Matsumoto R., Hagiwara M., et al. CCR8-targeted specific depletion of clonally expanded Treg cells in tumor tissues evokes potent tumor immunity with long-lasting memory. Proc. Natl. Acad. Sci. USA. 2022;119:e2114282119. doi: 10.1073/pnas.2114282119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Olkhanud P.B., Baatar D., Bodogai M., Hakim F., Gress R., Anderson R.L., Deng J., Xu M., Briest S., Biragyn A. Breast cancer lung metastasis requires expression of chemokine receptor CCR4 and regulatory T cells. Cancer Res. 2009;69:5996–6004. doi: 10.1158/0008-5472.Can-08-4619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Wing K., Onishi Y., Prieto-Martin P., Yamaguchi T., Miyara M., Fehervari Z., Nomura T., Sakaguchi S. CTLA-4 control over Foxp3+ regulatory T cell function. Science. 2008;322:271–275. doi: 10.1126/science.1160062. [DOI] [PubMed] [Google Scholar]
  • 112.Bachmann M.F., Köhler G., Ecabert B., Mak T.W., Kopf M. Cutting edge: Lymphoproliferative disease in the absence of CTLA-4 is not T cell autonomous. J. Immunol. 1999;163:1128–1131. doi: 10.4049/jimmunol.163.3.1128. [DOI] [PubMed] [Google Scholar]
  • 113.Bachmann M.F., Gallimore A., Jones E., Ecabert B., Acha-Orbea H., Kopf M. Normal pathogen-specific immune responses mounted by CTLA-4-deficient T cells: A paradigm reconsidered. Eur. J. Immunol. 2001;31:450–458. doi: 10.1002/1521-4141(200102)31:2&#x0003c;450::AID-IMMU450&#x0003e;3.0.CO;2-X. [DOI] [PubMed] [Google Scholar]
  • 114.Tivol E.A., Gorski J. Re-establishing peripheral tolerance in the absence of CTLA-4: Complementation by wild-type T cells points to an indirect role for CTLA-4. J. Immunol. 2002;169:1852–1858. doi: 10.4049/jimmunol.169.4.1852. [DOI] [PubMed] [Google Scholar]
  • 115.Perez V.L., Van Parijs L., Biuckians A., Zheng X.X., Strom T.B., Abbas A.K. Induction of peripheral T cell tolerance in vivo requires CTLA-4 engagement. Immunity. 1997;6:411–417. doi: 10.1016/S1074-7613(00)80284-8. [DOI] [PubMed] [Google Scholar]
  • 116.Chen L., Flies D.B. Molecular mechanisms of T cell co-stimulation and co-inhibition. Nat. Rev. Immunol. 2013;13:227–242. doi: 10.1038/nri3405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Intlekofer A.M., Thompson C.B. At the bench: Preclinical rationale for CTLA-4 and PD-1 blockade as cancer immunotherapy. J. Leukoc. Biol. 2013;94:25–39. doi: 10.1189/jlb.1212621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Munari E., Mariotti F.R., Quatrini L., Bertoglio P., Tumino N., Vacca P., Eccher A., Ciompi F., Brunelli M., Martignoni G., et al. PD-1/PD-L1 in Cancer: Pathophysiological, Diagnostic and Therapeutic Aspects. Int. J. Mol. Sci. 2021;22:5123. doi: 10.3390/ijms22105123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.De Simone M., Arrigoni A., Rossetti G., Gruarin P., Ranzani V., Politano C., Bonnal R.J.P., Provasi E., Sarnicola M.L., Panzeri I., et al. Transcriptional Landscape of Human Tissue Lymphocytes Unveils Uniqueness of Tumor-Infiltrating T Regulatory Cells. Immunity. 2016;45:1135–1147. doi: 10.1016/j.immuni.2016.10.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Horwitz D.A., Zheng S.G., Gray J.D. Natural and TGF-beta-induced Foxp3+CD4+ CD25+ regulatory T cells are not mirror images of each other. Trends Immunol. 2008;29:429–435. doi: 10.1016/j.it.2008.06.005. [DOI] [PubMed] [Google Scholar]
  • 121.Thornton A.M., Shevach E.M. CD4+CD25+ immunoregulatory T cells suppress polyclonal T cell activation in vitro by inhibiting interleukin 2 production. J. Exp. Med. 1998;188:287–296. doi: 10.1084/jem.188.2.287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Larmonier N., Marron M., Zeng Y., Cantrell J., Romanoski A., Sepassi M., Thompson S., Chen X., Andreansky S., Katsanis E. Tumor-derived CD4+CD25+ regulatory T cell suppression of dendritic cell function involves TGF-beta and IL-10. Cancer Immunol. Immunother. 2007;56:48–59. doi: 10.1007/s00262-006-0160-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Zhou P., L’Italien L., Hodges D., Schebye X.M. Pivotal roles of CD4+ effector T cells in mediating agonistic anti-GITR mAb-induced-immune activation and tumor immunity in CT26 tumors. J. Immunol. 2007;179:7365–7375. doi: 10.4049/jimmunol.179.11.7365. [DOI] [PubMed] [Google Scholar]
  • 124.Mascanfroni I.D., Yeste A., Vieira S.M., Burns E.J., Patel B., Sloma I., Wu Y., Mayo L., Ben-Hamo R., Efroni S., et al. IL-27 acts on DCs to suppress the T cell response and autoimmunity by inducing expression of the immunoregulatory molecule CD39. Nat. Immunol. 2013;14:1054–1063. doi: 10.1038/ni.2695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Deaglio S., Dwyer K.M., Gao W., Friedman D., Usheva A., Erat A., Chen J.F., Enjyoji K., Linden J., Oukka M., et al. Adenosine generation catalyzed by CD39 and CD73 expressed on regulatory T cells mediates immune suppression. J. Exp. Med. 2007;204:1257–1265. doi: 10.1084/jem.20062512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Chen Y., Kuchroo V.K., Inobe J., Hafler D.A., Weiner H.L. Regulatory T cell clones induced by oral tolerance: Suppression of autoimmune encephalomyelitis. Science. 1994;265:1237–1240. doi: 10.1126/science.7520605. [DOI] [PubMed] [Google Scholar]
  • 127.Armstrong J.M., Chen J.F., Schwarzschild M.A., Apasov S., Smith P.T., Caldwell C., Chen P., Figler H., Sullivan G., Fink S., et al. Gene dose effect reveals no Gs-coupled A2A adenosine receptor reserve in murine T-lymphocytes: Studies of cells from A2A-receptor-gene-deficient mice. Biochem. J. 2001;354:123–130. doi: 10.1042/bj3540123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Friberg M., Jennings R., Alsarraj M., Dessureault S., Cantor A., Extermann M., Mellor A.L., Munn D.H., Antonia S.J. Indoleamine 2,3-dioxygenase contributes to tumor cell evasion of T cell-mediated rejection. Int. J. Cancer. 2002;101:151–155. doi: 10.1002/ijc.10645. [DOI] [PubMed] [Google Scholar]
  • 129.Mellor A.L., Munn D.H. IDO expression by dendritic cells: Tolerance and tryptophan catabolism. Nat. Rev. Immunol. 2004;4:762–774. doi: 10.1038/nri1457. [DOI] [PubMed] [Google Scholar]
  • 130.Zoso A., Mazza E.M., Bicciato S., Mandruzzato S., Bronte V., Serafini P., Inverardi L. Human fibrocytic myeloid-derived suppressor cells express IDO and promote tolerance via Treg-cell expansion. Eur. J. Immunol. 2014;44:3307–3319. doi: 10.1002/eji.201444522. [DOI] [PubMed] [Google Scholar]
  • 131.Li F., Zhao Y., Wei L., Li S., Liu J. Tumor-infiltrating Treg, MDSC, and IDO expression associated with outcomes of neoadjuvant chemotherapy of breast cancer. Cancer Biol. Ther. 2018;19:695–705. doi: 10.1080/15384047.2018.1450116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Watson M.J., Vignali P.D.A., Mullett S.J., Overacre-Delgoffe A.E., Peralta R.M., Grebinoski S., Menk A.V., Rittenhouse N.L., DePeaux K., Whetstone R.D., et al. Metabolic support of tumour-infiltrating regulatory T cells by lactic acid. Nature. 2021;591:645–651. doi: 10.1038/s41586-020-03045-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Rao D., Verburg F., Renner K., Peeper D.S., Lacroix R., Blank C.U. Metabolic profiles of regulatory T cells in the tumour microenvironment. Cancer Immunol. Immunother. 2021;70:2417–2427. doi: 10.1007/s00262-021-02881-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Kumagai S., Koyama S., Itahashi K., Tanegashima T., Lin Y.T., Togashi Y., Kamada T., Irie T., Okumura G., Kono H., et al. Lactic acid promotes PD-1 expression in regulatory T cells in highly glycolytic tumor microenvironments. Cancer Cell. 2022;40:201–218.e9. doi: 10.1016/j.ccell.2022.01.001. [DOI] [PubMed] [Google Scholar]
  • 135.Wang H., Franco F., Tsui Y.C., Xie X., Trefny M.P., Zappasodi R., Mohmood S.R., Fernández-García J., Tsai C.H., Schulze I., et al. CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors. Nat. Immunol. 2020;21:298–308. doi: 10.1038/s41590-019-0589-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Comito G., Iscaro A., Bacci M., Morandi A., Ippolito L., Parri M., Montagnani I., Raspollini M.R., Serni S., Simeoni L., et al. Lactate modulates CD4+ T-cell polarization and induces an immunosuppressive environment, which sustains prostate carcinoma progression via TLR8/miR21 axis. Oncogene. 2019;38:3681–3695. doi: 10.1038/s41388-019-0688-7. [DOI] [PubMed] [Google Scholar]
  • 137.Angelin A., Gil-de-Gómez L., Dahiya S., Jiao J., Guo L., Levine M.H., Wang Z., Quinn W.J., 3rd, Kopinski P.K., Wang L., et al. Foxp3 Reprograms T Cell Metabolism to Function in Low-Glucose, High-Lactate Environments. Cell Metab. 2017;25:1282–1293.e7. doi: 10.1016/j.cmet.2016.12.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Xu Y., Dong X., Qi P., Ye Y., Shen W., Leng L., Wang L., Li X., Luo X., Chen Y., et al. Sox2 Communicates with Tregs Through CCL1 to Promote the Stemness Property of Breast Cancer Cells. Stem Cells. 2017;35:2351–2365. doi: 10.1002/stem.2720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Kos K., Aslam M.A., van de Ven R., Wellenstein M.D., Pieters W., van Weverwijk A., Duits D.E.M., van Pul K., Hau C.S., Vrijland K., et al. Tumor-educated T(regs) drive organ-specific metastasis in breast cancer by impairing NK cells in the lymph node niche. Cell Rep. 2022;38:110447. doi: 10.1016/j.celrep.2022.110447. [DOI] [PubMed] [Google Scholar]
  • 140.Facciabene A., Peng X., Hagemann I.S., Balint K., Barchetti A., Wang L.P., Gimotty P.A., Gilks C.B., Lal P., Zhang L., et al. Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and T(reg) cells. Nature. 2011;475:226–230. doi: 10.1038/nature10169. [DOI] [PubMed] [Google Scholar]
  • 141.Hansen W., Hutzler M., Abel S., Alter C., Stockmann C., Kliche S., Albert J., Sparwasser T., Sakaguchi S., Westendorf A.M., et al. Neuropilin 1 deficiency on CD4+Foxp3+ regulatory T cells impairs mouse melanoma growth. J. Exp. Med. 2012;209:2001–2016. doi: 10.1084/jem.20111497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Zhu Q., Cao Y., Yuan J., Hu Y. Adipose-derived stem cell exosomes promote tumor characterization and immunosuppressive microenvironment in breast cancer. Cancer Immunol. Immunother. 2024;73:39. doi: 10.1007/s00262-023-03584-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Bolandi Z., Mokhberian N., Eftekhary M., Sharifi K., Soudi S., Ghanbarian H., Hashemi S.M. Adipose derived mesenchymal stem cell exosomes loaded with miR-10a promote the differentiation of Th17 and Treg from naive CD4+ T cell. Life Sci. 2020;259:118218. doi: 10.1016/j.lfs.2020.118218. [DOI] [PubMed] [Google Scholar]
  • 144.Ni C., Fang Q.Q., Chen W.Z., Jiang J.X., Jiang Z., Ye J., Zhang T., Yang L., Meng F.B., Xia W.J., et al. Breast cancer-derived exosomes transmit lncRNA SNHG16 to induce CD73+γδ1 Treg cells. Signal Transduct. Target. Ther. 2020;5:41. doi: 10.1038/s41392-020-0129-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Smyth L.A., Ratnasothy K., Tsang J.Y., Boardman D., Warley A., Lechler R., Lombardi G. CD73 expression on extracellular vesicles derived from CD4+ CD25+ Foxp3+ T cells contributes to their regulatory function. Eur. J. Immunol. 2013;43:2430–2440. doi: 10.1002/eji.201242909. [DOI] [PubMed] [Google Scholar]
  • 146.Li P., Liu C., Yu Z., Wu M. New Insights into Regulatory T Cells: Exosome- and Non-Coding RNA-Mediated Regulation of Homeostasis and Resident Treg Cells. Front. Immunol. 2016;7:574. doi: 10.3389/fimmu.2016.00574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Chen L., Huang H., Zhang W., Ding F., Fan Z., Zeng Z. Exosomes Derived From T Regulatory Cells Suppress CD8+ Cytotoxic T Lymphocyte Proliferation and Prolong Liver Allograft Survival. Med. Sci. Monit. 2019;25:4877–4884. doi: 10.12659/MSM.917058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Hu H., Wu J., Cao C., Ma L. Exosomes derived from regulatory T cells ameliorate acute myocardial infarction by promoting macrophage M2 polarization. IUBMB Life. 2020;72:2409–2419. doi: 10.1002/iub.2364. [DOI] [PubMed] [Google Scholar]
  • 149.Mao H., Zhang L., Yang Y., Zuo W., Bi Y., Gao W., Deng B., Sun J., Shao Q., Qu X. New insights of CTLA-4 into its biological function in breast cancer. Curr. Cancer Drug Targets. 2010;10:728–736. doi: 10.2174/156800910793605811. [DOI] [PubMed] [Google Scholar]
  • 150.Hodi F.S., O’Day S.J., McDermott D.F., Weber R.W., Sosman J.A., Haanen J.B., Gonzalez R., Robert C., Schadendorf D., Hassel J.C., et al. Improved survival with ipilimumab in patients with metastatic melanoma. N. Engl. J. Med. 2010;363:711–723. doi: 10.1056/NEJMoa1003466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Robert C., Thomas L., Bondarenko I., O’Day S., Weber J., Garbe C., Lebbe C., Baurain J.F., Testori A., Grob J.J., et al. Ipilimumab plus dacarbazine for previously untreated metastatic melanoma. N. Engl. J. Med. 2011;364:2517–2526. doi: 10.1056/NEJMoa1104621. [DOI] [PubMed] [Google Scholar]
  • 152.Teft W.A., Kirchhof M.G., Madrenas J. A molecular perspective of CTLA-4 function. Annu. Rev. Immunol. 2006;24:65–97. doi: 10.1146/annurev.immunol.24.021605.090535. [DOI] [PubMed] [Google Scholar]
  • 153.Teft W.A., Madrenas J. Molecular determinants of inverse agonist activity of biologicals targeting CTLA-4. J. Immunol. 2007;179:3631–3637. doi: 10.4049/jimmunol.179.6.3631. [DOI] [PubMed] [Google Scholar]
  • 154.Knorr D.A., Blanchard L., Leidner R.S., Jensen S.M., Meng R., Jones A., Ballesteros-Merino C., Bell R.B., Baez M., Marino A., et al. FcγRIIB Is an Immune Checkpoint Limiting the Activity of Treg-Targeting Antibodies in the Tumor Microenvironment. Cancer Immunol. Res. 2024;12:322–333. doi: 10.1158/2326-6066.CIR-23-0389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Gan X., Shan Q., Li H., Janssens R., Shen Y., He Y., Chen F., van Haperen R., Drabek D., Li J., et al. An anti-CTLA-4 heavy chain-only antibody with enhanced T(reg) depletion shows excellent preclinical efficacy and safety profile. Proc. Natl. Acad. Sci. USA. 2022;119:e2200879119. doi: 10.1073/pnas.2200879119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Wang Y., Zhou Y., Yang L., Lei L., He B., Cao J., Gao H. Challenges Coexist with Opportunities: Spatial Heterogeneity Expression of PD-L1 in Cancer Therapy. Adv. Sci. 2024;11:e2303175. doi: 10.1002/advs.202303175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Lazarus G., Audrey J., Iskandar A.W.B. Efficacy and safety profiles of programmed cell death-1/programmed cell death ligand-1 inhibitors in the treatment of triple-negative breast cancer: A comprehensive systematic review. Oncol. Rev. 2019;13:425. doi: 10.4081/oncol.2019.425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Shan C., Wang Y., Li Y., Yang S., Sheng W., Liu X. The triple-drug combination DBDx enhances the antitumor efficacy of PD-1 antibody associated with Treg modulation. J. Cancer Res. Ther. 2023;19:1603–1609. doi: 10.4103/jcrt.jcrt_350_23. [DOI] [PubMed] [Google Scholar]
  • 159.Li Y., Li Y., Yang Y., Deng Y., Ni X., Zhao B., Yan Z., He W., Li Y., Li S., et al. Synergistic efficacy of PI3Kδ inhibitor with anti-PD-1 mAbs in immune-humanized PDX model of endocrine resistance hormone receptor-positive advanced breast cancer. Heliyon. 2023;9:e18498. doi: 10.1016/j.heliyon.2023.e18498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Fattori S., Le Roy A., Houacine J., Robert L., Abes R., Gorvel L., Granjeaud S., Rouvière M.S., Ben Amara A., Boucherit N., et al. CD25high Effector Regulatory T Cells Hamper Responses to PD-1 Blockade in Triple-Negative Breast Cancer. Cancer Res. 2023;83:3026–3044. doi: 10.1158/0008-5472.CAN-23-0613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Shimizu J., Yamazaki S., Takahashi T., Ishida Y., Sakaguchi S. Stimulation of CD25+CD4+ regulatory T cells through GITR breaks immunological self-tolerance. Nat. Immunol. 2002;3:135–142. doi: 10.1038/ni759. [DOI] [PubMed] [Google Scholar]
  • 162.Kim I.K., Kim B.S., Koh C.H., Seok J.W., Park J.S., Shin K.S., Bae E.A., Lee G.E., Jeon H., Cho J., et al. Glucocorticoid-induced tumor necrosis factor receptor-related protein co-stimulation facilitates tumor regression by inducing IL-9-producing helper T cells. Nat. Med. 2015;21:1010–1017. doi: 10.1038/nm.3922. [DOI] [PubMed] [Google Scholar]
  • 163.Coe D., Begom S., Addey C., White M., Dyson J., Chai J.G. Depletion of regulatory T cells by anti-GITR mAb as a novel mechanism for cancer immunotherapy. Cancer Immunol. Immunother. 2010;59:1367–1377. doi: 10.1007/s00262-010-0866-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Xiao X., Shi X., Fan Y., Zhang X., Wu M., Lan P., Minze L., Fu Y.X., Ghobrial R.M., Liu W., et al. GITR subverts Foxp3+ Tregs to boost Th9 immunity through regulation of histone acetylation. Nat. Commun. 2015;6:8266. doi: 10.1038/ncomms9266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Zappasodi R., Sirard C., Li Y., Budhu S., Abu-Akeel M., Liu C., Yang X., Zhong H., Newman W., Qi J., et al. Rational design of anti-GITR-based combination immunotherapy. Nat. Med. 2019;25:759–766. doi: 10.1038/s41591-019-0420-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Mitsui J., Nishikawa H., Muraoka D., Wang L., Noguchi T., Sato E., Kondo S., Allison J.P., Sakaguchi S., Old L.J., et al. Two distinct mechanisms of augmented antitumor activity by modulation of immunostimulatory/inhibitory signals. Clin. Cancer Res. 2010;16:2781–2791. doi: 10.1158/1078-0432.CCR-09-3243. [DOI] [PubMed] [Google Scholar]
  • 167.Knee D.A., Hewes B., Brogdon J.L. Rationale for anti-GITR cancer immunotherapy. Eur. J. Cancer. 2016;67:1–10. doi: 10.1016/j.ejca.2016.06.028. [DOI] [PubMed] [Google Scholar]
  • 168.Song J.Y., Han M.G., Kim Y., Kim M.J., Kang M.H., Jeon S.H., Kim I.A. Combination of local radiotherapy and anti-glucocorticoid-induced tumor necrosis factor receptor (GITR) therapy augments PD-L1 blockade-mediated anti-tumor effects in murine breast cancer model. Radiother. Oncol. 2024;190:109981. doi: 10.1016/j.radonc.2023.109981. [DOI] [PubMed] [Google Scholar]
  • 169.Demeure C.E., Wolfers J., Martin-Garcia N., Gaulard P., Triebel F. T Lymphocytes infiltrating various tumour types express the MHC class II ligand lymphocyte activation gene-3 (LAG-3): Role of LAG-3/MHC class II interactions in cell-cell contacts. Eur. J. Cancer. 2001;37:1709–1718. doi: 10.1016/S0959-8049(01)00184-8. [DOI] [PubMed] [Google Scholar]
  • 170.Ngiow S.F., Teng M.W., Smyth M.J. Prospects for TIM3-Targeted Antitumor Immunotherapy. Cancer Res. 2011;71:6567–6571. doi: 10.1158/0008-5472.CAN-11-1487. [DOI] [PubMed] [Google Scholar]
  • 171.Curti B.D., Kovacsovics-Bankowski M., Morris N., Walker E., Chisholm L., Floyd K., Walker J., Gonzalez I., Meeuwsen T., Fox B.A., et al. OX40 is a potent immune-stimulating target in late-stage cancer patients. Cancer Res. 2013;73:7189–7198. doi: 10.1158/0008-5472.CAN-12-4174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Nguyen L.T., Ohashi P.S. Clinical blockade of PD1 and LAG3--potential mechanisms of action. Nat. Rev. Immunol. 2015;15:45–56. doi: 10.1038/nri3790. [DOI] [PubMed] [Google Scholar]
  • 173.Asano Y., Kashiwagi S., Takada K., Ishihara S., Goto W., Morisaki T., Shibutani M., Tanaka H., Hirakawa K., Ohira M. Clinical Significance of Expression of Immunoadjuvant Molecules (LAG-3, TIM-3, OX-40) in Neoadjuvant Chemotherapy for Breast Cancer. Anticancer Res. 2022;42:125–136. doi: 10.21873/anticanres.15466. [DOI] [PubMed] [Google Scholar]
  • 174.Brignone C., Gutierrez M., Mefti F., Brain E., Jarcau R., Cvitkovic F., Bousetta N., Medioni J., Gligorov J., Grygar C., et al. First-line chemoimmunotherapy in metastatic breast carcinoma: Combination of paclitaxel and IMP321 (LAG-3Ig) enhances immune responses and antitumor activity. J. Transl. Med. 2010;8:71. doi: 10.1186/1479-5876-8-71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Dirix L., Triebel F. AIPAC: A Phase IIb study of eftilagimod alpha (IMP321 or LAG-3Ig) added to weekly paclitaxel in patients with metastatic breast cancer. Future Oncol. 2019;15:1963–1973. doi: 10.2217/fon-2018-0807. [DOI] [PubMed] [Google Scholar]
  • 176.Wildiers H., Armstrong A., Cuypere E., Dalenc F., Dirix L., Chan S., Marme F., Schröder C.P., Huober J., Duhoux F.P., et al. Paclitaxel plus Eftilagimod Alpha, a Soluble LAG-3 Protein, in Metastatic, HR+ Breast Cancer: Results from AIPAC, a Randomized, Placebo Controlled Phase IIb Trial. Clin. Cancer Res. 2024;30:532–541. doi: 10.1158/1078-0432.CCR-23-1173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Zhang J., Zhang F., Wu H., Zhang B., Zhang X., Wu X. Blockade of TIM-3 and PD-1 enhances the antitumor effects of MAGE-A11 antigen-specific cytotoxic T lymphocytes. Bull. Cancer. 2022;109:895–908. doi: 10.1016/j.bulcan.2022.04.005. [DOI] [PubMed] [Google Scholar]
  • 178.Weinberg A.D., Lemon M., Jones A.J., Vainiene M., Celnik B., Buenafe A.C., Culbertson N., Bakke A., Vandenbark A.A., Offner H. OX-40 antibody enhances for autoantigen specific V beta 8.2+ T cells within the spinal cord of Lewis rats with autoimmune encephalomyelitis. J. Neurosci. Res. 1996;43:42–49. doi: 10.1002/jnr.490430105. [DOI] [PubMed] [Google Scholar]
  • 179.Weinberg A.D., Rivera M.M., Prell R., Morris A., Ramstad T., Vetto J.T., Urba W.J., Alvord G., Bunce C., Shields J. Engagement of the OX-40 receptor in vivo enhances antitumor immunity. J. Immunol. 2000;164:2160–2169. doi: 10.4049/jimmunol.164.4.2160. [DOI] [PubMed] [Google Scholar]
  • 180.Campos Carrascosa L., van Beek A.A., de Ruiter V., Doukas M., Wei J., Fisher T.S., Ching K., Yang W., van Loon K., Boor P.P.C., et al. FcγRIIB engagement drives agonistic activity of Fc-engineered αOX40 antibody to stimulate human tumor-infiltrating T cells. J. Immunother. Cancer. 2020;8:e000816. doi: 10.1136/jitc-2020-000816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Setoguchi R., Hori S., Takahashi T., Sakaguchi S. Homeostatic maintenance of natural Foxp3+ CD25+ CD4+ regulatory T cells by interleukin (IL)-2 and induction of autoimmune disease by IL-2 neutralization. J. Exp. Med. 2005;201:723–735. doi: 10.1084/jem.20041982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Gambineri E., Torgerson T.R., Ochs H.D. Immune dysregulation, polyendocrinopathy, enteropathy, and X-linked inheritance (IPEX), a syndrome of systemic autoimmunity caused by mutations of FOXP3, a critical regulator of T-cell homeostasis. Curr. Opin. Rheumatol. 2003;15:430–435. doi: 10.1097/00002281-200307000-00010. [DOI] [PubMed] [Google Scholar]
  • 183.Sakaguchi S., Sakaguchi N., Asano M., Itoh M., Toda M. Immunologic self-tolerance maintained by activated T cells expressing IL-2 receptor alpha-chains (CD25). Breakdown of a single mechanism of self-tolerance causes various autoimmune diseases. J. Immunol. 1995;155:1151–1164. doi: 10.4049/jimmunol.155.3.1151. [DOI] [PubMed] [Google Scholar]
  • 184.Onizuka S., Tawara I., Shimizu J., Sakaguchi S., Fujita T., Nakayama E. Tumor rejection by in vivo administration of anti-CD25 (interleukin-2 receptor alpha) monoclonal antibody. Cancer Res. 1999;59:3128–3133. [PubMed] [Google Scholar]
  • 185.Shimizu J., Yamazaki S., Sakaguchi S. Induction of tumor immunity by removing CD25+CD4+ T cells: A common basis between tumor immunity and autoimmunity. J. Immunol. 1999;163:5211–5218. doi: 10.4049/jimmunol.163.10.5211. [DOI] [PubMed] [Google Scholar]
  • 186.Kreijveld E., Koenen H.J., Klasen I.S., Hilbrands L.B., Joosten I. Following anti-CD25 treatment, a functional CD4+CD25+ regulatory T-cell pool is present in renal transplant recipients. Am. J. Transplant. 2007;7:249–255. doi: 10.1111/j.1600-6143.2006.01604.x. [DOI] [PubMed] [Google Scholar]
  • 187.Baldassari L.E., Rose J.W. Daclizumab: Development, Clinical Trials, and Practical Aspects of Use in Multiple Sclerosis. Neurotherapeutics. 2017;14:842–858. doi: 10.1007/s13311-017-0553-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Kapic E., Becic F., Kusturica J. Basiliximab, mechanism of action and pharmacological properties. Med. Arh. 2004;58:373–376. [PubMed] [Google Scholar]
  • 189.Solomon I., Amann M., Goubier A., Arce Vargas F., Zervas D., Qing C., Henry J.Y., Ghorani E., Akarca A.U., Marafioti T., et al. CD25-T(reg)-depleting antibodies preserving IL-2 signaling on effector T cells enhance effector activation and antitumor immunity. Nat. Cancer. 2020;1:1153–1166. doi: 10.1038/s43018-020-00133-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Zammarchi F., Havenith K., Bertelli F., Vijayakrishnan B., Chivers S., van Berkel P.H. CD25-targeted antibody-drug conjugate depletes regulatory T cells and eliminates established syngeneic tumors via antitumor immunity. J. Immunother. Cancer. 2020;8:e000860. doi: 10.1136/jitc-2020-000860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Dehbashi M., Hojati Z., Motovali-Bashi M., Ganjalikhany M.R., Cho W.C., Shimosaka A., Navabi P., Ganjalikhani-Hakemi M. A Novel CAR Expressing NK Cell Targeting CD25 With the Prospect of Overcoming Immune Escape Mechanism in Cancers. Front. Oncol. 2021;11:649710. doi: 10.3389/fonc.2021.649710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Batlle E., Massagué J. Transforming Growth Factor-β Signaling in Immunity and Cancer. Immunity. 2019;50:924–940. doi: 10.1016/j.immuni.2019.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Thomas D.A., Massagué J. TGF-beta directly targets cytotoxic T cell functions during tumor evasion of immune surveillance. Cancer Cell. 2005;8:369–380. doi: 10.1016/j.ccr.2005.10.012. [DOI] [PubMed] [Google Scholar]
  • 194.Lainé A., Labiad O., Hernandez-Vargas H., This S., Sanlaville A., Léon S., Dalle S., Sheppard D., Travis M.A., Paidassi H., et al. Regulatory T cells promote cancer immune-escape through integrin αvβ8-mediated TGF-β activation. Nat. Commun. 2021;12:6228. doi: 10.1038/s41467-021-26352-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.De Martino M., Daviaud C., Vanpouille-Box C. Activin A backs-up TGF-ß to promote regulatory T cells. Oncoimmunology. 2021;10:1883288. doi: 10.1080/2162402X.2021.1883288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.De Martino M., Daviaud C., Diamond J.M., Kraynak J., Alard A., Formenti S.C., Miller L.D., Demaria S., Vanpouille-Box C. Activin A Promotes Regulatory T-cell-Mediated Immunosuppression in Irradiated Breast Cancer. Cancer Immunol. Res. 2021;9:89–102. doi: 10.1158/2326-6066.CIR-19-0305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Mariathasan S., Turley S.J., Nickles D., Castiglioni A., Yuen K., Wang Y., Kadel E.E., III, Koeppen H., Astarita J.L., Cubas R., et al. TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells. Nature. 2018;554:544–548. doi: 10.1038/nature25501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Tapia-Galisteo A., Sánchez-Rodríguez I., Narbona J., Iglesias-Hernández P., Aragón-García S., Jiménez-Reinoso A., Compte M., Khan S., Tsuda T., Chames P., et al. Combination of T cell-redirecting strategies with a bispecific antibody blocking TGF-β and PD-L1 enhances antitumor responses. Oncoimmunology. 2024;13:2338558. doi: 10.1080/2162402X.2024.2338558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Jiang S., Zhang Y., Zhang X., Lu B., Sun P., Wu Q., Ding X., Huang J. GARP Correlates With Tumor-Infiltrating T-Cells and Predicts the Outcome of Gastric Cancer. Front. Immunol. 2021;12:660397. doi: 10.3389/fimmu.2021.660397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Pandey J.P., Namboodiri A.M., Armeson K.E., Iwasaki M., Kasuga Y., Hamada G.S., Tsugane S. IGHG, IGKC, and FCGR genes and endogenous antibody responses to GARP in patients with breast cancer and matched controls. Hum. Immunol. 2018;79:632–637. doi: 10.1016/j.humimm.2018.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Probst-Kepper M., Geffers R., Kröger A., Viegas N., Erck C., Hecht H.J., Lünsdorf H., Roubin R., Moharregh-Khiabani D., Wagner K., et al. GARP: A key receptor controlling FOXP3 in human regulatory T cells. J. Cell. Mol. Med. 2009;13:3343–3357. doi: 10.1111/j.1582-4934.2009.00782.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Dedobbeleer O., Stockis J., van der Woning B., Coulie P.G., Lucas S. Cutting Edge: Active TGF-β1 Released from GARP/TGF-β1 Complexes on the Surface of Stimulated Human B Lymphocytes Increases Class-Switch Recombination and Production of IgA. J. Immunol. 2017;199:391–396. doi: 10.4049/jimmunol.1601882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Italiano A., Cassier P.A., Lin C.C., Alanko T., Peltola K.J., Gazzah A., Shiah H.S., Calvo E., Cervantes A., Roda D., et al. First-in-human phase 1 study of budigalimab, an anti-PD-1 inhibitor, in patients with non-small cell lung cancer and head and neck squamous cell carcinoma. Cancer Immunol. Immunother. 2022;71:417–431. doi: 10.1007/s00262-021-02973-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Satoh K., Kobayashi Y., Fujimaki K., Hayashi S., Ishida S., Sugiyama D., Sato T., Lim K., Miyamoto M., Kozuma S., et al. Novel anti-GARP antibody DS-1055a augments anti-tumor immunity by depleting highly suppressive GARP+ regulatory T cells. Int. Immunol. 2021;33:435–446. doi: 10.1093/intimm/dxab027. [DOI] [PubMed] [Google Scholar]
  • 205.Ma J., Chen Y., Li T., Cao Y., Hu B., Liu Y., Zhang Y., Li X., Liu J., Zhang W., et al. Suppression of lysosome metabolism-meditated GARP/TGF-β1 complexes specifically depletes regulatory T cells to inhibit breast cancer metastasis. Oncogene. 2024;43:1930–1940. doi: 10.1038/s41388-024-03043-y. [DOI] [PubMed] [Google Scholar]
  • 206.Qu C., Edwards E.W., Tacke F., Angeli V., Llodrá J., Sanchez-Schmitz G., Garin A., Haque N.S., Peters W., van Rooijen N., et al. Role of CCR8 and other chemokine pathways in the migration of monocyte-derived dendritic cells to lymph nodes. J. Exp. Med. 2004;200:1231–1241. doi: 10.1084/jem.20032152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Whiteside S.K., Grant F.M., Alvisi G., Clarke J., Tang L., Imianowski C.J., Zhang B., Evans A.C., Wesolowski A.J., Conti A.G., et al. Acquisition of suppressive function by conventional T cells limits antitumor immunity upon T(reg) depletion. Sci. Immunol. 2023;8:eabo5558. doi: 10.1126/sciimmunol.abo5558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Knipfer L., Schulz-Kuhnt A., Kindermann M., Greif V., Symowski C., Voehringer D., Neurath M.F., Atreya I., Wirtz S. A CCL1/CCR8-dependent feed-forward mechanism drives ILC2 functions in type 2-mediated inflammation. J. Exp. Med. 2019;216:2763–2777. doi: 10.1084/jem.20182111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Kim N., Kim M.H., Pyo J., Lee S.M., Jang J.S., Lee D.W., Kim K.W. CCR8 as a Therapeutic Novel Target: Omics-Integrated Comprehensive Analysis for Systematically Prioritizing Indications. Biomedicines. 2023;11:2910. doi: 10.3390/biomedicines11112910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Campbell J.R., McDonald B.R., Mesko P.B., Siemers N.O., Singh P.B., Selby M., Sproul T.W., Korman A.J., Vlach L.M., Houser J., et al. Fc-Optimized Anti-CCR8 Antibody Depletes Regulatory T Cells in Human Tumor Models. Cancer Res. 2021;81:2983–2994. doi: 10.1158/0008-5472.CAN-20-3585. [DOI] [PubMed] [Google Scholar]
  • 211.Weaver J.D., Stack E.C., Buggé J.A., Hu C., McGrath L., Mueller A., Wong M., Klebanov B., Rahman T., Kaufman R., et al. Differential expression of CCR8 in tumors versus normal tissue allows specific depletion of tumor-infiltrating T regulatory cells by GS-1811, a novel Fc-optimized anti-CCR8 antibody. Oncoimmunology. 2022;11:2141007. doi: 10.1080/2162402X.2022.2141007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Wu Y., Xi J., Li Y., Li Z., Zhang Y., Wang J., Fan G.H. Discovery of a Potent and Selective CCR8 Small Molecular Antagonist IPG7236 for the Treatment of Cancer. J. Med. Chem. 2023;66:4548–4564. doi: 10.1021/acs.jmedchem.3c00030. [DOI] [PubMed] [Google Scholar]
  • 213.Hoelzinger D.B., Smith S.E., Mirza N., Dominguez A.L., Manrique S.Z., Lustgarten J. Blockade of CCL1 inhibits T regulatory cell suppressive function enhancing tumor immunity without affecting T effector responses. J. Immunol. 2010;184:6833–6842. doi: 10.4049/jimmunol.0904084. [DOI] [PubMed] [Google Scholar]
  • 214.Sarkar T., Dhar S., Chakraborty D., Pati S., Bose S., Panda A.K., Basak U., Chakraborty S., Mukherjee S., Guin A., et al. FOXP3/HAT1 Axis Controls Treg Infiltration in the Tumor Microenvironment by Inducing CCR4 Expression in Breast Cancer. Front. Immunol. 2022;13:740588. doi: 10.3389/fimmu.2022.740588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Sugiyama D., Nishikawa H., Maeda Y., Nishioka M., Tanemura A., Katayama I., Ezoe S., Kanakura Y., Sato E., Fukumori Y., et al. Anti-CCR4 mAb selectively depletes effector-type FoxP3+CD4+ regulatory T cells, evoking antitumor immune responses in humans. Proc. Natl. Acad. Sci. USA. 2013;110:17945–17950. doi: 10.1073/pnas.1316796110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Moore D.C., Elmes J.B., Shibu P.A., Larck C., Park S.I. Mogamulizumab: An Anti-CC Chemokine Receptor 4 Antibody for T-Cell Lymphomas. Ann. Pharmacother. 2020;54:371–379. doi: 10.1177/1060028019884863. [DOI] [PubMed] [Google Scholar]
  • 217.Bogacka J., Pawlik K., Ciapała K., Ciechanowska A., Mika J. CC Chemokine Receptor 4 (CCR4) as a Possible New Target for Therapy. Int. J. Mol. Sci. 2022;23:15638. doi: 10.3390/ijms232415638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Doi T., Muro K., Ishii H., Kato T., Tsushima T., Takenoyama M., Oizumi S., Gemmoto K., Suna H., Enokitani K., et al. A Phase I Study of the Anti-CC Chemokine Receptor 4 Antibody, Mogamulizumab, in Combination with Nivolumab in Patients with Advanced or Metastatic Solid Tumors. Clin. Cancer Res. 2019;25:6614–6622. doi: 10.1158/1078-0432.CCR-19-1090. [DOI] [PubMed] [Google Scholar]
  • 219.Nishikawa H., Koyama S. Mechanisms of regulatory T cell infiltration in tumors: Implications for innovative immune precision therapies. J. Immunother. Cancer. 2021;9:e002591. doi: 10.1136/jitc-2021-002591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Gobert M., Treilleux I., Bendriss-Vermare N., Bachelot T., Goddard-Leon S., Arfi V., Biota C., Doffin A.C., Durand I., Olive D., et al. Regulatory T cells recruited through CCL22/CCR4 are selectively activated in lymphoid infiltrates surrounding primary breast tumors and lead to an adverse clinical outcome. Cancer Res. 2009;69:2000–2009. doi: 10.1158/0008-5472.CAN-08-2360. [DOI] [PubMed] [Google Scholar]
  • 221.Marshall L.A., Marubayashi S., Jorapur A., Jacobson S., Zibinsky M., Robles O., Hu D.X., Jackson J.J., Pookot D., Sanchez J., et al. Tumors establish resistance to immunotherapy by regulating T(reg) recruitment via CCR4. J. Immunother. Cancer. 2020;8:e000764. doi: 10.1136/jitc-2020-000764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Tanaka T., Bai Z., Srinoulprasert Y., Yang B.G., Hayasaka H., Miyasaka M. Chemokines in tumor progression and metastasis. Cancer Sci. 2005;96:317–322. doi: 10.1111/j.1349-7006.2005.00059.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Chang L.Y., Lin Y.C., Mahalingam J., Huang C.T., Chen T.W., Kang C.W., Peng H.M., Chu Y.Y., Chiang J.M., Dutta A., et al. Tumor-derived chemokine CCL5 enhances TGF-β-mediated killing of CD8+ T cells in colon cancer by T-regulatory cells. Cancer Res. 2012;72:1092–1102. doi: 10.1158/0008-5472.CAN-11-2493. [DOI] [PubMed] [Google Scholar]
  • 224.Pervaiz A., Zepp M., Mahmood S., Ali D.M., Berger M.R., Adwan H. CCR5 blockage by maraviroc: A potential therapeutic option for metastatic breast cancer. Cell. Oncol. 2019;42:93–106. doi: 10.1007/s13402-018-0415-3. [DOI] [PubMed] [Google Scholar]
  • 225.Nie Y., Huang H., Guo M., Chen J., Wu W., Li W., Xu X., Lin X., Fu W., Yao Y., et al. Breast Phyllodes Tumors Recruit and Repolarize Tumor-Associated Macrophages via Secreting CCL5 to Promote Malignant Progression, Which Can Be Inhibited by CCR5 Inhibition Therapy. Clin. Cancer Res. 2019;25:3873–3886. doi: 10.1158/1078-0432.CCR-18-3421. [DOI] [PubMed] [Google Scholar]
  • 226.Maj T., Wang W., Crespo J., Zhang H., Wang W., Wei S., Zhao L., Vatan L., Shao I., Szeliga W., et al. Oxidative stress controls regulatory T cell apoptosis and suppressor activity and PD-L1-blockade resistance in tumor. Nat. Immunol. 2017;18:1332–1341. doi: 10.1038/ni.3868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Leone R.D., Emens L.A. Targeting adenosine for cancer immunotherapy. J. Immunother. Cancer. 2018;6:57. doi: 10.1186/s40425-018-0360-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Giannone G., Ghisoni E., Genta S., Scotto G., Tuninetti V., Turinetto M., Valabrega G. Immuno-Metabolism and Microenvironment in Cancer: Key Players for Immunotherapy. Int. J. Mol. Sci. 2020;21:4414. doi: 10.3390/ijms21124414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Allard B., Longhi M.S., Robson S.C., Stagg J. The ectonucleotidases CD39 and CD73: Novel checkpoint inhibitor targets. Immunol. Rev. 2017;276:121–144. doi: 10.1111/imr.12528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Sitkovsky M.V., Ohta A. The ‘danger’ sensors that STOP the immune response: The A2 adenosine receptors? Trends Immunol. 2005;26:299–304. doi: 10.1016/j.it.2005.04.004. [DOI] [PubMed] [Google Scholar]
  • 231.Ohta A., Kini R., Ohta A., Subramanian M., Madasu M., Sitkovsky M. The development and immunosuppressive functions of CD4+ CD25+ FoxP3+ regulatory T cells are under influence of the adenosine-A2A adenosine receptor pathway. Front. Immunol. 2012;3:190. doi: 10.3389/fimmu.2012.00190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Sitkovsky M.V. T regulatory cells: Hypoxia-adenosinergic suppression and re-direction of the immune response. Trends Immunol. 2009;30:102–108. doi: 10.1016/j.it.2008.12.002. [DOI] [PubMed] [Google Scholar]
  • 233.Ohta A., Gorelik E., Prasad S.J., Ronchese F., Lukashev D., Wong M.K., Huang X., Caldwell S., Liu K., Smith P., et al. A2A adenosine receptor protects tumors from antitumor T cells. Proc. Natl. Acad. Sci. USA. 2006;103:13132–13137. doi: 10.1073/pnas.0605251103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Stagg J., Beavis P.A., Divisekera U., Liu M.C., Möller A., Darcy P.K., Smyth M.J. CD73-deficient mice are resistant to carcinogenesis. Cancer Res. 2012;72:2190–2196. doi: 10.1158/0008-5472.CAN-12-0420. [DOI] [PubMed] [Google Scholar]
  • 235.Jackson S.W., Hoshi T., Wu Y., Sun X., Enjyoji K., Cszimadia E., Sundberg C., Robson S.C. Disordered purinergic signaling inhibits pathological angiogenesis in cd39/Entpd1-null mice. Am. J. Pathol. 2007;171:1395–1404. doi: 10.2353/ajpath.2007.070190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Zohair B., Chraa D., Rezouki I., Benthami H., Razzouki I., Elkarroumi M., Olive D., Karkouri M., Badou A. The immune checkpoint adenosine 2A receptor is associated with aggressive clinical outcomes and reflects an immunosuppressive tumor microenvironment in human breast cancer. Front. Immunol. 2023;14:1201632. doi: 10.3389/fimmu.2023.1201632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Jadidi-Niaragh F., Atyabi F., Rastegari A., Kheshtchin N., Arab S., Hassannia H., Ajami M., Mirsanei Z., Habibi S., Masoumi F., et al. CD73 specific siRNA loaded chitosan lactate nanoparticles potentiate the antitumor effect of a dendritic cell vaccine in 4T1 breast cancer bearing mice. J. Control. Release. 2017;246:46–59. doi: 10.1016/j.jconrel.2016.12.012. [DOI] [PubMed] [Google Scholar]
  • 238.Menzel S., Duan Y., Hambach J., Albrecht B., Wendt-Cousin D., Winzer R., Tolosa E., Rissiek A., Guse A.H., Haag F., et al. Generation and characterization of antagonistic anti-human CD39 nanobodies. Front. Immunol. 2024;15:1328306. doi: 10.3389/fimmu.2024.1328306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Stagg J., Divisekera U., McLaughlin N., Sharkey J., Pommey S., Denoyer D., Dwyer K.M., Smyth M.J. Anti-CD73 antibody therapy inhibits breast tumor growth and metastasis. Proc. Natl. Acad. Sci. USA. 2010;107:1547–1552. doi: 10.1073/pnas.0908801107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240.de Leve S., Wirsdörfer F., Jendrossek V. Targeting the Immunomodulatory CD73/Adenosine System to Improve the Therapeutic Gain of Radiotherapy. Front. Immunol. 2019;10:698. doi: 10.3389/fimmu.2019.00698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241.Brochez L., Chevolet I., Kruse V. The rationale of indoleamine 2,3-dioxygenase inhibition for cancer therapy. Eur. J. Cancer. 2017;76:167–182. doi: 10.1016/j.ejca.2017.01.011. [DOI] [PubMed] [Google Scholar]
  • 242.Sarangi P. Role of indoleamine 2, 3-dioxygenase 1 in immunosuppression of breast cancer. Cancer Pathog. Ther. 2023 doi: 10.1016/j.cpt.2023.11.001. [DOI] [Google Scholar]
  • 243.Yu C.P., Fu S.F., Chen X., Ye J., Ye Y., Kong L.D., Zhu Z. The Clinicopathological and Prognostic Significance of IDO1 Expression in Human Solid Tumors: Evidence from a Systematic Review and Meta-Analysis. Cell Physiol. Biochem. 2018;49:134–143. doi: 10.1159/000492849. [DOI] [PubMed] [Google Scholar]
  • 244.Guan J., Wu Y., Liu X., Wang H., Ye N., Li Z., Xiao C., Zhang Z., Li Z., Yang X. A novel prodrug and its nanoformulation suppress cancer stem cells by inducing immunogenic cell death and inhibiting indoleamine 2, 3-dioxygenase. Biomaterials. 2021;279:121180. doi: 10.1016/j.biomaterials.2021.121180. [DOI] [PubMed] [Google Scholar]
  • 245.Nair S., Boczkowski D., Fassnacht M., Pisetsky D., Gilboa E. Vaccination against the forkhead family transcription factor Foxp3 enhances tumor immunity. Cancer Res. 2007;67:371–380. doi: 10.1158/0008-5472.CAN-06-2903. [DOI] [PubMed] [Google Scholar]
  • 246.Nicola Candia A.J., Garcia Fallit M., Peña Agudelo J.A., Pérez Küper M., Gonzalez N., Moreno Ayala M.A., De Simone E., Giampaoli C., Casares N., Seilicovich A., et al. Targeting FOXP3 Tumor-Intrinsic Effects Using Adenoviral Vectors in Experimental Breast Cancer. Viruses. 2023;15:1813. doi: 10.3390/v15091813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Ding X., Peng C., Li Y., Liu J., Song Y., Cai B., Xiang M., Zhang J., Wang Z., Wang L. Targeting Inhibition of Foxp3 by MMP2/9 Sensitive Short Peptide Linked P60 Fusion Protein 6(P60-MMPs) to Enhance Antitumor Immunity. Macromol. Biosci. 2020;20:e2000098. doi: 10.1002/mabi.202000098. [DOI] [PubMed] [Google Scholar]
  • 248.Esteller M., Pandolfi P.P. The Epitranscriptome of Noncoding RNAs in Cancer. Cancer Discov. 2017;7:359–368. doi: 10.1158/2159-8290.CD-16-1292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Rupaimoole R., Slack F.J. MicroRNA therapeutics: Towards a new era for the management of cancer and other diseases. Nat. Rev. Drug Discov. 2017;16:203–222. doi: 10.1038/nrd.2016.246. [DOI] [PubMed] [Google Scholar]
  • 250.Slack F.J., Chinnaiyan A.M. The Role of Non-coding RNAs in Oncology. Cell. 2019;179:1033–1055. doi: 10.1016/j.cell.2019.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Moallemi-Rad L., Ghorbani A., Dadyar M., Hussen B.M., Rasul M.F., Eslami S., Taheri M., Jamali E., Ghafouri-Fard S. Expression of Treg-associated lncRNAs in breast cancer. Pathol. Res. Pract. 2023;241:154270. doi: 10.1016/j.prp.2022.154270. [DOI] [PubMed] [Google Scholar]
  • 252.Okoye I.S., Coomes S.M., Pelly V.S., Czieso S., Papayannopoulos V., Tolmachova T., Seabra M.C., Wilson M.S. MicroRNA-containing T-regulatory-cell-derived exosomes suppress pathogenic T helper 1 cells. Immunity. 2014;41:89–103. doi: 10.1016/j.immuni.2014.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Anandagoda N., Willis J.C., Hertweck A., Roberts L.B., Jackson I., Gökmen M.R., Jenner R.G., Howard J.K., Lord G.M. microRNA-142-mediated repression of phosphodiesterase 3B critically regulates peripheral immune tolerance. J. Clin. Investig. 2019;129:1257–1271. doi: 10.1172/JCI124725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Pei X., Wang X., Li H. LncRNA SNHG1 regulates the differentiation of Treg cells and affects the immune escape of breast cancer via regulating miR-448/IDO. Int. J. Biol. Macromol. 2018;118:24–30. doi: 10.1016/j.ijbiomac.2018.06.033. [DOI] [PubMed] [Google Scholar]
  • 255.Hu Y., Wang C., Li Y., Zhao J., Chen C., Zhou Y., Tao Y., Guo M., Qin N., Ren T., et al. MiR-21 controls in situ expansion of CCR6⁺ regulatory T cells through PTEN/AKT pathway in breast cancer. Immunol. Cell Biol. 2015;93:753–764. doi: 10.1038/icb.2015.37. [DOI] [PubMed] [Google Scholar]
  • 256.Zhu Q., Yuan J., He Y., Hu Y. The Effect of miR-520b on Macrophage Polarization and T Cell Immunity by Targeting PTEN in Breast Cancer. J. Oncol. 2021;2021:5170496. doi: 10.1155/2021/5170496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Zhang N., Liu S., Shi S., Chen Y., Xu F., Wei X., Xu Y. Solubilization and delivery of Ursolic-acid for modulating tumor microenvironment and regulatory T cell activities in cancer immunotherapy. J. Control. Release. 2020;320:168–178. doi: 10.1016/j.jconrel.2020.01.015. [DOI] [PubMed] [Google Scholar]
  • 258.Yan J., Zhang Z., Zhan X., Chen K., Pu Y., Liang Y., He B. In situ injection of dual-delivery PEG based MMP-2 sensitive hydrogels for enhanced tumor penetration and chemo-immune combination therapy. Nanoscale. 2021;13:9577–9589. doi: 10.1039/D1NR01155C. [DOI] [PubMed] [Google Scholar]
  • 259.Qu Q., Zhai Z., Xu J., Li S., Chen C., Lu B. IL36 Cooperates With Anti-CTLA-4 mAbs to Facilitate Antitumor Immune Responses. Front. Immunol. 2020;11:634. doi: 10.3389/fimmu.2020.00634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.He S., Wang L., Wu D., Tong F., Zhao H., Li H., Gong T., Gao H., Zhou Y. Dual-responsive supramolecular photodynamic nanomedicine with activatable immunomodulation for enhanced antitumor therapy. Acta Pharm. Sin. B. 2024;14:765–780. doi: 10.1016/j.apsb.2023.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Chen Y., Xia R., Huang Y., Zhao W., Li J., Zhang X., Wang P., Venkataramanan R., Fan J., Xie W., et al. An immunostimulatory dual-functional nanocarrier that improves cancer immunochemotherapy. Nat. Commun. 2016;7:13443. doi: 10.1038/ncomms13443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Leclerc M., Voilin E., Gros G., Corgnac S., de Montpréville V., Validire P., Bismuth G., Mami-Chouaib F. Regulation of antitumour CD8 T-cell immunity and checkpoint blockade immunotherapy by Neuropilin-1. Nat. Commun. 2019;10:3345. doi: 10.1038/s41467-019-11280-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Du B., Du Q., Bai Y., Yu L., Wang Y., Huang J., Zheng M., Shen G., Zhou J., Yao H. Chemotherapy based on “Domino-effect” combined with immunotherapy amplifying the efficacy of an anti-metastatic treatment. J. Mater. Chem. B. 2020;8:9139–9150. doi: 10.1039/D0TB01061H. [DOI] [PubMed] [Google Scholar]
  • 264.Domvri K., Petanidis S., Zarogoulidis P., Anestakis D., Charalampidis C., Tsavlis D., Huang H., Freitag L., Hohenforst-Schmidt W., Matthaios D., et al. Engineered Hybrid Treg-Targeted Nanosomes Restrain Lung Immunosuppression by Inducing Intratumoral CD8+T Cell Immunity. Int. J. Nanomed. 2022;17:4449–4468. doi: 10.2147/IJN.S346341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 265.Ou W., Jiang L., Thapa R.K., Soe Z.C., Poudel K., Chang J.H., Ku S.K., Choi H.G., Yong C.S., Kim J.O. Combination of NIR therapy and regulatory T cell modulation using layer-by-layer hybrid nanoparticles for effective cancer photoimmunotherapy. Theranostics. 2018;8:4574–4590. doi: 10.7150/thno.26758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Chen H., Luan X., Paholak H.J., Burnett J.P., Stevers N.O., Sansanaphongpricha K., He M., Chang A.E., Li Q., Sun D. Depleting tumor-associated Tregs via nanoparticle-mediated hyperthermia to enhance anti-CTLA-4 immunotherapy. Nanomedicine. 2020;15:77–92. doi: 10.2217/nnm-2019-0190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267.Zang X., Song J., Yi X., Piyu J. Polymeric indoximod based prodrug nanoparticles with doxorubicin entrapment for inducing immunogenic cell death and improving the immunotherapy of breast cancer. J. Mater. Chem. B. 2022;10:2019–2027. doi: 10.1039/D2TB00197G. [DOI] [PubMed] [Google Scholar]
  • 268.Zhang L., Dou X., Zheng Z., Ye C., Lu T.X., Liang H.L., Wang L., Weichselbaum R.R., He C. YTHDF2/m(6) A/NF-κB axis controls anti-tumor immunity by regulating intratumoral Tregs. EMBO J. 2023;42:e113126. doi: 10.15252/embj.2022113126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269.Tian L.R., Lin M.Z., Zhong H.H., Cai Y.J., Li B., Xiao Z.C., Shuai X.T. Nanodrug regulates lactic acid metabolism to reprogram the immunosuppressive tumor microenvironment for enhanced cancer immunotherapy. Biomater. Sci. 2022;10:3892–3900. doi: 10.1039/D2BM00650B. [DOI] [PubMed] [Google Scholar]
  • 270.Hu N., Xue H., Zhang T., Fan Y., Guo F., Li Z., Huo M., Guan X., Chen G. Harnessing PD-1 cell membrane-coated paclitaxel dimer nanoparticles for potentiated chemoimmunotherapy. Biomed. Pharmacother. 2024;174:116482. doi: 10.1016/j.biopha.2024.116482. [DOI] [PubMed] [Google Scholar]
  • 271.Chang H.C., Zou Z.Z., Wang Q.H., Li J., Jin H., Yin Q.X., Xing D. Targeting and Specific Activation of Antigen-Presenting Cells by Endogenous Antigen-Loaded Nanoparticles Elicits Tumor-Specific Immunity. Adv. Sci. 2020;7:1900069. doi: 10.1002/advs.201900069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Masjedi A., Hassannia H., Atyabi F., Rastegari A., Hojjat-Farsangi M., Namdar A., Soleimanpour H., Azizi G., Nikkhoo A., Ghalamfarsa G., et al. Downregulation of A2AR by siRNA loaded PEG-chitosan-lactate nanoparticles restores the T cell mediated anti-tumor responses through blockage of PKA/CREB signaling pathway. Int. J. Biol. Macromol. 2019;133:436–445. doi: 10.1016/j.ijbiomac.2019.03.223. [DOI] [PubMed] [Google Scholar]
  • 273.Formenti S.C., Demaria S. Radiation therapy to convert the tumor into an in situ vaccine. Int. J. Radiat. Oncol. Biol. Phys. 2012;84:879–880. doi: 10.1016/j.ijrobp.2012.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 274.Lee Y., Auh S.L., Wang Y., Burnette B., Wang Y., Meng Y., Beckett M., Sharma R., Chin R., Tu T., et al. Therapeutic effects of ablative radiation on local tumor require CD8+ T cells: Changing strategies for cancer treatment. Blood. 2009;114:589–595. doi: 10.1182/blood-2009-02-206870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 275.Lugade A.A., Moran J.P., Gerber S.A., Rose R.C., Frelinger J.G., Lord E.M. Local radiation therapy of B16 melanoma tumors increases the generation of tumor antigen-specific effector cells that traffic to the tumor. J. Immunol. 2005;174:7516–7523. doi: 10.4049/jimmunol.174.12.7516. [DOI] [PubMed] [Google Scholar]
  • 276.Schmidt M.A., Förtsch C., Schmidt M., Rau T.T., Fietkau R., Distel L.V. Circulating regulatory T cells of cancer patients receiving radiochemotherapy may be useful to individualize cancer treatment. Radiother. Oncol. 2012;104:131–138. doi: 10.1016/j.radonc.2012.05.003. [DOI] [PubMed] [Google Scholar]
  • 277.Vanpouille-Box C., Diamond J.M., Pilones K.A., Zavadil J., Babb J.S., Formenti S.C., Barcellos-Hoff M.H., Demaria S. TGFβ Is a Master Regulator of Radiation Therapy-Induced Antitumor Immunity. Cancer Res. 2015;75:2232–2242. doi: 10.1158/0008-5472.CAN-14-3511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Guo W., Jia L., Xie L., Kiang J.G., Wang Y., Sun F., Lin Z., Wang E., Zhang Y., Huang P., et al. Turning anecdotal irradiation-induced anticancer immune responses into reproducible in situ cancer vaccines via disulfiram/copper-mediated enhanced immunogenic cell death of breast cancer cells. Cell Death Dis. 2024;15:298. doi: 10.1038/s41419-024-06644-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Romano M., Fanelli G., Albany C.J., Giganti G., Lombardi G. Past, Present, and Future of Regulatory T Cell Therapy in Transplantation and Autoimmunity. Front. Immunol. 2019;10:43. doi: 10.3389/fimmu.2019.00043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Kumar P., Saini S., Prabhakar B.S. Cancer immunotherapy with check point inhibitor can cause autoimmune adverse events due to loss of Treg homeostasis. Semin. Cancer Biol. 2020;64:29–35. doi: 10.1016/j.semcancer.2019.01.006. [DOI] [PubMed] [Google Scholar]
  • 281.Gordon I.O., Wade T., Chin K., Dickstein J., Gajewski T.F. Immune-mediated red cell aplasia after anti-CTLA-4 immunotherapy for metastatic melanoma. Cancer Immunol. Immunother. 2009;58:1351–1353. doi: 10.1007/s00262-008-0627-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.Friedman C.F., Proverbs-Singh T.A., Postow M.A. Treatment of the Immune-Related Adverse Effects of Immune Checkpoint Inhibitors: A Review. JAMA Oncol. 2016;2:1346–1353. doi: 10.1001/jamaoncol.2016.1051. [DOI] [PubMed] [Google Scholar]
  • 283.Bertrand A., Kostine M., Barnetche T., Truchetet M.E., Schaeverbeke T. Immune related adverse events associated with anti-CTLA-4 antibodies: Systematic review and meta-analysis. BMC Med. 2015;13:211. doi: 10.1186/s12916-015-0455-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 284.Huang X., Rudensky A.Y. Regulatory T cells in the context: Deciphering the dynamic interplay with the tissue environment. Curr. Opin. Immunol. 2024;89:102453. doi: 10.1016/j.coi.2024.102453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Van Coillie S., Wiernicki B., Xu J. Molecular and Cellular Functions of CTLA-4. Adv. Exp. Med. Biol. 2020;1248:7–32. doi: 10.1007/978-981-15-3266-5_2. [DOI] [PubMed] [Google Scholar]
  • 286.Sanmamed M.F., Pastor F., Rodriguez A., Perez-Gracia J.L., Rodriguez-Ruiz M.E., Jure-Kunkel M., Melero I. Agonists of Co-stimulation in Cancer Immunotherapy Directed Against CD137, OX40, GITR, CD27, CD28, and ICOS. Semin. Oncol. 2015;42:640–655. doi: 10.1053/j.seminoncol.2015.05.014. [DOI] [PubMed] [Google Scholar]
  • 287.Cinier J., Hubert M., Besson L., Di Roio A., Rodriguez C., Lombardi V., Caux C., Ménétrier-Caux C. Recruitment and Expansion of Tregs Cells in the Tumor Environment-How to Target Them? Cancers. 2021;13:1850. doi: 10.3390/cancers13081850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Topalian S.L., Drake C.G., Pardoll D.M. Immune checkpoint blockade: A common denominator approach to cancer therapy. Cancer Cell. 2015;27:450–461. doi: 10.1016/j.ccell.2015.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Kumar P., Bhattacharya P., Prabhakar B.S. A comprehensive review on the role of co-signaling receptors and Treg homeostasis in autoimmunity and tumor immunity. J. Autoimmun. 2018;95:77–99. doi: 10.1016/j.jaut.2018.08.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290.Michot J.M., Bigenwald C., Champiat S., Collins M., Carbonnel F., Postel-Vinay S., Berdelou A., Varga A., Bahleda R., Hollebecque A., et al. Immune-related adverse events with immune checkpoint blockade: A comprehensive review. Eur. J. Cancer. 2016;54:139–148. doi: 10.1016/j.ejca.2015.11.016. [DOI] [PubMed] [Google Scholar]
  • 291.Du X., Liu M., Su J., Zhang P., Tang F., Ye P., Devenport M., Wang X., Zhang Y., Liu Y., et al. Uncoupling therapeutic from immunotherapy-related adverse effects for safer and effective anti-CTLA-4 antibodies in CTLA4 humanized mice. Cell Res. 2018;28:433–447. doi: 10.1038/s41422-018-0012-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292.Liu J., Blake S.J., Harjunpää H., Fairfax K.A., Yong M.C., Allen S., Kohrt H.E., Takeda K., Smyth M.J., Teng M.W. Assessing Immune-Related Adverse Events of Efficacious Combination Immunotherapies in Preclinical Models of Cancer. Cancer Res. 2016;76:5288–5301. doi: 10.1158/0008-5472.CAN-16-0194. [DOI] [PubMed] [Google Scholar]
  • 293.Dees S., Ganesan R., Singh S., Grewal I.S. Regulatory T cell targeting in cancer: Emerging strategies in immunotherapy. Eur. J. Immunol. 2021;51:280–291. doi: 10.1002/eji.202048992. [DOI] [PubMed] [Google Scholar]
  • 294.Anderson A.C., Joller N., Kuchroo V.K. Lag-3, Tim-3, and TIGIT: Co-inhibitory Receptors with Specialized Functions in Immune Regulation. Immunity. 2016;44:989–1004. doi: 10.1016/j.immuni.2016.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295.Shams F., Golchin A., Azari A., Mohammadi Amirabad L., Zarein F., Khosravi A., Ardeshirylajimi A. Nanotechnology-based products for cancer immunotherapy. Mol. Biol. Rep. 2022;49:1389–1412. doi: 10.1007/s11033-021-06876-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296.Li L., Liu X., Sanders K.L., Edwards J.L., Ye J., Si F., Gao A., Huang L., Hsueh E.C., Ford D.A. TLR8-mediated metabolic control of human Treg function: A mechanistic target for cancer immunotherapy. Cell Metab. 2019;29:103–123.e5. doi: 10.1016/j.cmet.2018.09.020. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cells are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES