| Literature DB >> 35874729 |
Sonia Aristin Revilla1,2,3, Onno Kranenburg3, Paul J Coffer1,2.
Abstract
Colorectal cancer (CRC) is a heterogeneous disease with one of the highest rates of incidence and mortality among cancers worldwide. Understanding the CRC tumor microenvironment (TME) is essential to improve diagnosis and treatment. Within the CRC TME, tumor-infiltrating lymphocytes (TILs) consist of a heterogeneous mixture of adaptive immune cells composed of mainly anti-tumor effector T cells (CD4+ and CD8+ subpopulations), and suppressive regulatory CD4+ T (Treg) cells. The balance between these two populations is critical in anti-tumor immunity. In general, while tumor antigen-specific T cell responses are observed, tumor clearance frequently does not occur. Treg cells are considered to play an important role in tumor immune escape by hampering effective anti-tumor immune responses. Therefore, CRC-tumors with increased numbers of Treg cells have been associated with promoting tumor development, immunotherapy failure, and a poorer prognosis. Enrichment of Treg cells in CRC can have multiple causes including their differentiation, recruitment, and preferential transcriptional and metabolic adaptation to the TME. Targeting tumor-associated Treg cell may be an effective addition to current immunotherapy approaches. Strategies for depleting Treg cells, such as low-dose cyclophosphamide treatment, or targeting one or more checkpoint receptors such as CTLA-4 with PD-1 with monoclonal antibodies, have been explored. These have resulted in activation of anti-tumor immune responses in CRC-patients. Overall, it seems likely that CRC-associated Treg cells play an important role in determining the success of such therapeutic approaches. Here, we review our understanding of the role of Treg cells in CRC, the possible mechanisms that support their homeostasis in the tumor microenvironment, and current approaches for manipulating Treg cells function in cancer.Entities:
Keywords: CRC; T regulatory cells; Treg; colorectal cancer; immunometabolism; immunotherapy; tumor infiltrating cells ; tumor microenvironment
Mesh:
Year: 2022 PMID: 35874729 PMCID: PMC9304750 DOI: 10.3389/fimmu.2022.903564
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Treg cells subtypes.
| Characterize by | Localization | Function | |||
|---|---|---|---|---|---|
|
|
| CD45RA+ FOXP3lo
| Thymus | tTreg cell TCR repertoire recognizes self-antigens | |
|
| CD45RA- FOXP3hi
| Secondary lymphoid organs | pTreg cell TCR repertoire recognizes tissue specific and foreign antigens | ||
|
|
| CD45RA+ FOXP3lo CD25lo CD62Lhi CD44lo
| Leave the thymus to lymphoid tissues, enriched in secondary lymphoid organs | Naïve phenotype with low suppressive activity | |
|
| CD45RA- FOXP3hi CD25hi CD62Llo CD44hi
| Originated in secondary lymphoid organs and migrate to non-lymphoid tissues | Highly suppressive cells | ||
|
|
| T-bet+ IFNγ+ | Inflammatory loci in non-lymphoid tissues | Inflammatory autoimmunity | |
|
| Gata3+ IRF4+ IL4+ | Inflammatory loci in non-lymphoid tissues | Secrete IL-4 and IL-13 and suppress Th2- mediated response | ||
|
| RORγt+ IL-17+ | Inflammatory loci in non-lymphoid tissues | Oral tolerance | ||
Figure 1Role of TI-Treg cells in the TME. TI-Treg cells produce (A) VEGF to promote dysregulated angiogenesis associated with tumor progression and TGF-β that, (B) promote the conversion of fibroblast to cancer-associated fibroblasts (CAFs), and (C) the conversion of CD4+ T-cells to Treg cells promoting their accumulation in the TME. TI-Treg cells also regulate anti-tumor immune responses by producing (D) inhibitory cytokines, such as IL-10, TGF-β and IL-35, inhibiting Teff cells, NKs and APCs, the last two are also inhibited through membrane-bound TGF-β, and (E) cytotoxic molecules such as granzymes and perforin that can directly kill Teff cells and APCs. TI-Treg cells also (F) disrupt Teff cell intracellular metabolism impairing their function by depleting IL-2 in the TME. They express CD39 and CD73 ectonucleotidases that covert ATP and ADP into adenosine, which can engage adenosine receptor A2A on the surface of Teff cells, increasing intracellular cAMP and disrupting their metabolism and function. cAMP also binds to APCs and macrophages inducing tolerogenic myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) that further impact Teff cells. Furthermore, adenosine can also bind A2A in Treg cells promoting the intracellular accumulation of cAMP that can be transferred through gap junctions to Teff cells interfering with their metabolism. Among different molecules that participate in the suppression process, Treg cells highly express (G) immune checkpoint receptors that bind their corresponding ligand in APCs and differently regulate their function (increasing the release of inhibitory cytokines or the upregulation of IDO) promoting an immunosuppressive TME.
Figure 2Metabolic reprogramming of TI-Treg cells in CRC TME. CRC tumor cells have a high glucose uptake generating pyruvate through glycolysis. Pyruvate is converted to acetyl-CoA or lactate that is secreted creating (A) a lactate-rich TME. TI-Treg cells adapt to these metabolic stresses present in the TME. TI-Treg cells can take up lactate through the MCT1 transporter that is subsequently converted to pyruvate by LDH and further to acetyl-CoA. Moreover, CRC tumor cells fuel the tri-carboxylic acid (TCA) cycle in the mitochondria for FA synthesis creating a (B) fatty acid-rich TME. TI-Treg cells can take up FA from the TME through the fatty acid transporter CD36. The CPTR1A transporter drives FA uptake into the mitochondria where it is oxidized by fatty acid oxidation (FAO) to acetyl-CoA. Acetyl-CoA fuels the TCA cycle in the mitochondria for de novo fatty acid synthesis that can be accumulated intracellularly or exported to the TME. The TME has (C) low availability of essential amino acids, particularly glutamine, that is consumed by tumor cells, and tryptophan, that is catabolized to kynurenine by IDO highly expressed by Treg cells.
CRC clinical trials potentially targeting Treg cell populations.
| Clinical trial | Antibody target |
| Response to treatment | PFS | OS | Comments and references |
|---|---|---|---|---|---|---|
| NCT01876511 |
| 10 metastatic MSI CRC patients | 40% MSI ORR | 78% MSI | This findings drove FDA-approval for the treatment of unresectable, metastatic MSI-H and dMMR ( | |
| NCT00441337 (Phase I) |
| 14 metastatic MSI or MSS CRC patients | 1 MSI CR | Followed up in: NCT02060188 | ||
| NCT02060188 |
| 74 refractory metastatic | 23 patients PR | 50% | 73% | This findings drove FDA-approval for the treatment of refractory MSI-H/dMMR CRC ( |
|
| 119 refractory metastatic | 55% ORR | 71% | 85% | Combination therapy improves therapeutic efficacy for dMMR/ | |
| NCT00313794 |
| 47 refractory metastatic CRC patients | 45 response-evaluable patients | 2% | 45% | No clinically meaningful but interesting for combinational approaches ( |
| NCT02870920 |
| 180 pre-treated-refractory MSS or proficient MMR CRC patients | 1.8 months | 6.6 months | Combination therapy improves the OS and quality of life of patients with advanced refractory CRC but not dMMR CRC ( | |
| NCT03101475 |
| Currently, 22 metastatic CRC patients | Ongoing clinical trial | |||
| NCT02794571 |
| Recruiting advanced incurable tumors, including CRC patients | Ongoing clinical trial | |||
| NCT01968109 |
| Recruiting advanced solid tumors including CRC patients | Ongoing clinical trial | |||
| NCT03156114 |
| Recruiting advanced solid tumors including metastatic CRC patients | Ongoing clinical trial | |||
| NCT02608268 |
| 6 metastatic CRC patients | 2 partially responded | Ongoing clinical trial | ||
| NCT02817633 |
| Recruiting advanced solid tumors including CRC patients | Ongoing clinical trial | |||
| NCT02705105 |
| 29 MSS CRC patients | 0 ORR with monotherapy | No enhanced efficacy of the combination therapy compared to monotherapy with nivolumab ( |
PFS, progression-free survival; OS, overall survival; MSI, microsatellite instability tumors; MSS, microsatellite stable tumors; dMMR, different mismatch-repair; ORR, overall response rate; PR, Partial response; CR, Complete response; DCR, disease control rate; BSC, best supportive care.