Evidence map›Paper›PMID 40567612›Full record

ArticleFrontiers in oncology2025

S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker.

Haibo Wang, Rongchao He, Deng Liu, Jun He, Zhong Shen

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Haibo WangDepartment of Colorectal Surgery, Hangzhou Third People's Hospital, Hangzhou, Zhejiang, China.
Rongchao HeZhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Deng LiuDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jun HeDepartment of Colorectal Surgery, Hangzhou Third People's Hospital, Hangzhou, Zhejiang, China.
Zhong ShenDepartment of Colorectal Surgery, Hangzhou Third People's Hospital, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is a major cause of global cancer deaths, with increasing incidence among younger populations. Despite advancements in diagnostic and therapeutic strategies, early detection and effective treatment remain major challenges. Exosomes act as critical intercellular messengers, promoting cancer growth, immune escape, and chemotherapy resistance. This study aims to identify exosome-related biomarkers in CRC and elucidate the functional significance of S100A11 in tumor progression and immune regulation. Methods: We integrated multi-cohort transcriptomic data from TCGA and GEO databases and applied a machine learning triad (LASSO-SVM-Random Forest) to identify robust exosomal biomarkers for CRC. Functional enrichment analysis, immune infiltration evaluation, and molecular docking were performed, along with Results: A five-gene exosome-based diagnostic panel (S100A11, CA4, PDCD4, GSTM2, SORD) was established, demonstrating excellent predictive accuracy (AUC=0.965). S100A11 was identified as a master regulator of CRC proliferation, immune modulation, and chemoresistance. Knockdown of S100A11 significantly suppressed CRC cell proliferation, induced apoptosis, and restrained tumor development in a xenograft model. Moreover, S100A11 was associated with an immunosuppressive tumor microenvironment. Pharmacogenomic analysis revealed its potential as a therapeutic target, with high binding affinity to diallyl trisulfide, suggesting novel treatment avenues. Conclusion: S100A11 mechanistically promotes CRC progression by activating oncogenic signaling and reshaping the immune microenvironment, positioning it as a clinically relevant dual-function biomarker. The integration of bioinformatics, machine learning, and experimental validation underscores the potential of exosome-derived markers for immunotherapy and precision oncology. Future studies should focus on clinical validation and the development of exosome-based immune-targeted therapies for CRC management.

Indexed as

biomarkercolorectal cancerexosomeimmune microenvironmentimmunotherapymachine learningS100A11

Identifiers

PMID40567612
PMCPMC12187594

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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 OpenQuestion graph.