Evidence mapPaperPMID 42445193Full record

ReviewFrontiers in immunology2026

Traditional Chinese medicine as a potential barrier-oriented sensitization strategy for immune checkpoint blockade in microsatellite-stable colorectal cancer: from resistance mechanisms to translational validation.

Dawei Wang, Yawei Wang, Xuan Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dawei Wang *Department of Medical Oncology, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, Shandong, China.
Yawei Wang *Department of Medical Oncology, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, Shandong, China.
Xuan WangDepartment of Medical Oncology, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Microsatellite-stable colorectal cancer (MSS-CRC) is refractory to immune checkpoint inhibitors (ICIs), mainly because of low tumor immunogenicity, impaired antigen presentation, immune exclusion, and myeloid- or Treg-dominated immunosuppression. Traditional Chinese medicine (TCM), characterized by multi-component and multi-target regulation, may provide complementary approaches for modulating these resistance barriers. This review summarizes the rationale, evidence, and translational requirements for integrating TCM with ICI-based therapy in MSS-CRC. Purpose: To evaluate the potential of TCM to regulate immune-resistance mechanisms in MSS-CRC and to propose a barrier-oriented framework for rational TCM-ICI combination strategies. Methods: A structured narrative review was conducted in PubMed, Web of Science, Embase, Scopus, CNKI, and Wanfang for studies published from January 2019 to March 2026. Searches covered MSS/pMMR CRC, immune checkpoint blockade, TCM interventions, tumor microenvironment, microbiota, immunometabolism, syndrome patterns, active constituents, and herbal quality control. Eligible studies addressed MSS/pMMR CRC immunotherapy, TCM or phytomedicine-based interventions, or immune-resistance mechanisms. Direct MSS/pMMR CRC studies involving ICI combinations were prioritized, while broader CRC, cross-cancer, pharmacological, and computational studies were used as supportive evidence. Results: Selected TCM interventions may improve ICI responsiveness in MSS-CRC when matched to specific resistance barriers. Representative interventions include Zhenqi Fuzheng Granules, Shenqi Yichang Formula, Gegen Qinlian Decoction, modified Shenling Baizhu San, Changweiqing, and electroacupuncture-related evidence. These interventions have been linked to immunometabolic remodeling, dendritic-cell mitophagy and antigen presentation, microbiota-driven TME remodeling, Tfh-B-cell interactions, and STING-dependent immune activation. However, direct formula-specific clinical evidence for ICI sensitization in molecularly defined MSS-CRC remains limited. Clinical-translational evidence includes an early phase II study of electroacupuncture combined with fruquintinib and sintilimab in refractory MSS-mCRC, whereas most herbal-formula evidence remains preclinical or indirect. We therefore propose matching TCM interventions and active ingredients to dominant immune-resistance phenotypes and integrating syndrome-informed host-state stratification. These hypotheses require validation using causal assays, organoid-immune co-culture, single-cell/spatial omics, pharmacological standardization, and biomarker-enriched clinical trials. Conclusion: TCM may serve as a complementary, mechanism-informed candidate sensitization strategy for MSS-CRC immunotherapy, but it is not an established standard combination approach. Future translation requires formula-specific and component-level validation, reproducible immune and microbiota-metabolic biomarkers, TCM syndrome assessment, herbal quality control, safety monitoring, and clinically meaningful outcomes.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmDrugs, Chinese HerbalImmune Checkpoint InhibitorsMedicine, Chinese TraditionalAnimalsHumansMicrosatellite RepeatsTumor MicroenvironmentDrugs, Chinese HerbalImmune Checkpoint Inhibitorsgut microbiotaimmune checkpoint inhibitorsimmunometabolismmicrosatellite stable colorectal cancertraditional Chinese medicinetumor microenvironment

Identifiers

PMID42445193
PMCPMC13357623

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.