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] |
Table 2 Selected clinical evidence for immunotherapy combination strategies in microsatellite-stable/proficient mismatch repair metastatic colorectal cancer
| Combination strategy/regimen | Clinical setting (population) | Key outcomes | Predictors/caveats | Ref. |
| Pembrolizumab + mFOLFOX7 or FOLFIRI (KEYNOTE-651) | 1 L/2 L advanced CRC (predominantly pMMR/MSS) | Safety acceptable; no clear signal beyond historical chemo in unselected MSS cohorts | Single-arm; chemotherapy confounds ORR; highlights need for biomarker enrichment | Gallois et al[57]; Kim et al[58] |
| Maintenance FP + bevacizumab ± atezolizumab (MODUL) | Post-induction maintenance in mCRC (unselected; largely MSS) | No significant PFS (HR = 0.92) or OS (HR = 0.94) improvement vs control | Negative phase II; subgroup signals require validation | Wang et al[59] |
| CAPOX + bevacizumab + pembrolizumab (FFCD1703-POCHI) | 1 L pMMR/MSS mCRC with high TIL/Immunoscore | ORR = 73% (17% CR); DCR 100%; 12-month PFS 52%; 24-month OS 80% | Biomarker-enriched (high Immunoscore); confirm in larger/controlled studies | Yamaguchi et al[60] |
| Regorafenib + nivolumab (REGONIVO, phase Ib) | Refractory MSS mCRC (Japan) | ORR approximately 33%-36% in CRC cohort; median PFS approximately 7.9 months | Early-phase; later Western studies show lower activity; liver metastases may blunt benefit | Fukuoka et al[65] |
| Regorafenib + nivolumab (phase II) | Refractory MSS mCRC (multicenter United States) | ORR 7% (5/70 PR); median PFS 1.8 months; OS 11.9 months | All responders had no liver metastases | Fakih et al[66] |
| Fruquintinib + sintilimab | Refractory MSS mCRC (China phase II) | ORR 12.5%; DCR 76.4%; median PFS 4.1 months; OS 15.3 months | Liver mets: PFS 3.2 months vs 7.6 months; NLR/albumin/ECOG predictive | Zhang et al[68] |
| Regorafenib + ipilimumab + nivolumab | Refractory MSS mCRC (single-center phase I) | ORR 27.6%; median PFS 4.0 months; OS 20 months; non-liver mets ORR 36.4% | Responses largely confined to nonliver metastatic disease; dose-related skin/immune AEs | Xiao et al[69]; Fakih et al[70] |
| Atezolizumab + cobimetinib (IMblaze370) | Refractory mCRC (predominantly MSS; phase III) | No OS benefit vs regorafenib; ORR approximately 2% | Suggests MEK inhibition alone is insufficient; scheduling/partner choice critical | Eng et al[40] |
| Radiotherapy + ICI (various early-phase) | MSS mCRC; often liver-dominant disease | Clinical benefit inconsistent; abscopal responses uncommon | Dose/fractionation, target lesions, and systemic priming likely determinants | Yang et al[91]; Lee et al[92]; Nelson et al[93]; Hang et al[94] |
| Locoregional therapy + ICI (HIPEC/HAIC/TACE/SIRT; early-phase) | Liver or peritoneal metastases | Primarily early-phase/ongoing; rationale is in situ antigen release and myeloid reprogramming | Safety/sequence critical; endpoints include immune correlatives | Nelson et al[93]; Nevo et al[95]; Jiang et al[96] |
Table 3 Candidate biomarkers for patient selection and monitoring in microsatellite-stable/proficient mismatch repair colorectal cancer
| Biomarker | Assay/readout | Rationale in MSS CRC | Clinical application and limitations | Ref. |
| MSIH/dMMR | IHC (MLH1/MSH2/MSH6/PMS2), PCR, NGS | High neoantigen load and inflamed TME | Established selection for PD-1 (± CTLA-4); rare in metastatic CRC | Gandini et al[130]; Ambrosini et al[131] |
| TMB-high; POLE/POLD1 ultra-mutation | NGS panel; TMB cutoffs | May confer immunogenicity despite MSS | Identifies small ICI-sensitive subset; platform/cutoff heterogeneity | Xue et al[132]; Domingo et al[135] |
| PD-L1 expression | IHC (TPS/CPS; immune cell staining) | Surrogate of immune activation, but weak predictor in CRC | Limited standalone utility; may contribute in combination contexts | Nakamura et al[137] |
| Immunoscore/TIL density (CD3/CD8) | Standardized IHC quantification (center + invasive margin) | Captures pre-existing antitumor immunity; enriches for ICI-responsive biology | Potential for patient selection (e.g., POCHI); requires harmonization and cutoffs | Yamaguchi et al[60]; Esmail et al[134] |
| Inflamed vs excluded gene signatures (IFN-γ; | RNA-seq/nano string signatures | Defines immune-hot vs immune-excluded states and matches mechanisms | Trial stratification; resource-intensive; signatures not yet standardized | Mortezaee and Majidpoor[27]; Li et al[28]; Esmail et al[134] |
| Liver metastasis status | Imaging; metastatic pattern | Liver promotes systemic immune tolerance and attenuates ICI benefit | Negative predictor in multiple ICI + TKI datasets; guides patient selection/Locoregional consolidation | Fakih et al[66]; Fakih et al[70]; Taïeb et al[138] |
| ctDNA kinetics | Plasma NGS (VAF dynamics; MRD) | Early molecular response/resistance signal | Monitoring and adaptive strategies; assay and threshold variability | Hou et al[140] |
| Host inflammatory/nutrition indices | NLR, albumin, ECOG | Correlates with myeloid skewing and immune fitness | Adjunct prognostic/predictive markers (not standalone) | Zhang et al[68] |
| Gut microbiome features | Metagenomics; targeted qPCR (e.g., Fusobacterium) | Microbiota shapes systemic immunity and therapy response/toxicity | Exploratory; actionable interventions (diet/FMT) under evaluation | Luo et al[33]; Luu et al[34]; Ramachandran et al[139] |
- 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