Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. May 15, 2026; 18(5): 118319
Published online May 15, 2026. doi: 10.4251/wjgo.v18.i5.118319
Published online May 15, 2026. doi: 10.4251/wjgo.v18.i5.118319
Table 1 Major immunobiological barriers to immune checkpoint inhibition in microsatellite-stable/proficient mismatch repair colorectal cancer and actionable therapeutic opportunities
| Immune barrier/feature | Mechanistic basis | Representative readouts/contexts | Actionable strategies |
| Low immunogenicity and weak antigen presentation | Low mutation load (MSS/Low TMB); impaired APC priming; HLA/B2M loss; IFN-JAK/STAT defects | Low TMB; low IFN-γ/CXCL9-CXCL10; MHC-I downregulation | Chemo/RT priming; STING/TLR agonists; epigenetic priming; vaccines/neoantigen approaches[13-15,25] |
| T cell exclusion by stromal/TGF-β programs | CAF-derived TGF-β; dense ECM; reduced trafficking/retention immuneexcluded phenotype | CMS4/stromal signature; high TGF-β; desmoplasia | TGF-β blockade/traps; CAF/ECM modulation; CXCR4 blockade; vessel normalization[27,28] |
| Oncogenic signaling-driven immune escape | KRAS/BRAF/MAPK or WNT/β-catenin suppress antigen presentation/chemokines and promote myeloid recruitment | RAS/BRAF mutations; MAPK/WNT activation signatures | Targeted therapy to reprogram TME (e.g., BRAF/MEK/EGFR); rational combinations with ICI[15,26] |
| Myeloid-dominant suppression (TAM/MDSC) | VEGF/CSF1/IL-8 axis; MDSC expansion; TAM M2 polarization; arginase/ROS-mediated T-cell suppression | High MDSC/TAM signatures; high NLR; VEGF-high tumors | Anti-VEGF/VEGFR TKIs; CSF1R/CXCR1/CXCR2 inhibition; CD47/SIRPα blockade (investigational)[10,16,19] |
| Checkpoint redundancy and T cell exhaustion | Co-expression of PD-1/PD-L1 with CTLA-4/LAG-3/TIGIT/TIM-3 dysfunctional CD8 pool | Exhaustion signatures; multiple checkpoints on TILs | Dual/next-gen checkpoint blockade; costimulatory agonists; intratumoral delivery[10,14] |
| Immunometabolic suppression | Hypoxia, lactate; adenosine (CD39/CD73); tryptophan catabolism (IDO/TDO); nutrient competition | High CD73; hypoxia markers; kynurenine/adenosine signatures | A2A/CD73 axis inhibitors; metabolic modulation; normalization of hypoxia/vasculature[35,36] |
| Microbiome-driven immune modulation | Dysbiosis (e.g., Fusobacterium) shapes myeloid programs and alters T cell function via microbial metabolites | Stool metagenomics; Fusobacterium abundance; bile acid/SCFA profiles | Diet/probiotic/FMT strategies; antibiotic stewardship; microbiome-informed stratification[33,34] |
| Metastatic niche effects (especially liver) | Hepatic tolerogenic myeloid cells; sequestration/deletion of activated T cells systemic suppression | Presence of liver metastases; low intrahepatic CD8 density | Liver-directed RT/SIRT/TACE + ICI; consider liver metastasis status in trial design[45,66,70] |
- Citation: Chi F, Liu CB, Li J, Xia XW, Hua QJ, Wang W. Converting cold to hot: Strategies to sensitize microsatellite-stable colorectal cancer to immunotherapy. World J Gastrointest Oncol 2026; 18(5): 118319
- URL: https://www.wjgnet.com/1948-5204/full/v18/i5/118319.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i5.118319