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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
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 presentationLow mutation load (MSS/Low TMB); impaired APC priming; HLA/B2M loss; IFN-JAK/STAT defectsLow TMB; low IFN-γ/CXCL9-CXCL10; MHC-I downregulationChemo/RT priming; STING/TLR agonists; epigenetic priming; vaccines/neoantigen approaches[13-15,25]
T cell exclusion by stromal/TGF-β programsCAF-derived TGF-β; dense ECM; reduced trafficking/retention immuneexcluded phenotypeCMS4/stromal signature; high TGF-β; desmoplasiaTGF-β blockade/traps; CAF/ECM modulation; CXCR4 blockade; vessel normalization[27,28]
Oncogenic signaling-driven immune escapeKRAS/BRAF/MAPK or WNT/β-catenin suppress antigen presentation/chemokines and promote myeloid recruitmentRAS/BRAF mutations; MAPK/WNT activation signaturesTargeted 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 suppressionHigh MDSC/TAM signatures; high NLR; VEGF-high tumorsAnti-VEGF/VEGFR TKIs; CSF1R/CXCR1/CXCR2 inhibition; CD47/SIRPα blockade (investigational)[10,16,19]
Checkpoint redundancy and T cell exhaustionCo-expression of PD-1/PD-L1 with CTLA-4/LAG-3/TIGIT/TIM-3 dysfunctional CD8 poolExhaustion signatures; multiple checkpoints on TILsDual/next-gen checkpoint blockade; costimulatory agonists; intratumoral delivery[10,14]
Immunometabolic suppressionHypoxia, lactate; adenosine (CD39/CD73); tryptophan catabolism (IDO/TDO); nutrient competitionHigh CD73; hypoxia markers; kynurenine/adenosine signaturesA2A/CD73 axis inhibitors; metabolic modulation; normalization of hypoxia/vasculature[35,36]
Microbiome-driven immune modulationDysbiosis (e.g., Fusobacterium) shapes myeloid programs and alters T cell function via microbial metabolitesStool metagenomics; Fusobacterium abundance; bile acid/SCFA profilesDiet/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 suppressionPresence of liver metastases; low intrahepatic CD8 densityLiver-directed RT/SIRT/TACE + ICI; consider liver metastasis status in trial design[45,66,70]


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