Evidence map›Paper›PMID 41965123›Full record

ArticleJNCI cancer spectrum2026

Microbiomic and immunogenic biomarkers of adjuvant chemotherapy efficacy in stage III colorectal cancer.

Erika Machida, Yasuyuki Takamizawa, Daisuke Takayanagi, Hourin Cho, Dai Shida, Masayoshi Yamada, Yuka Asami, Hanako Ono, Mai Takeuchi, Ryuji Hamamoto and 7 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 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

17 authors.

Erika MachidaDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Yasuyuki TakamizawaDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-9751-3309
Daisuke TakayanagiDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0001-9644-9782
Hourin ChoDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-1260-8692
Dai ShidaDepartment of Colorectal Surgery, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0003-3294-1924
Masayoshi YamadaEndoscopy Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0003-3979-5560
Yuka AsamiDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0009-0000-2047-5618
Hanako OnoDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Mai TakeuchiDepartment of Diagnostic Pathology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-4006-3810
Ryuji HamamotoDivision of Medical AI Research and Development, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-2632-1334
Toshiki RikiyamaDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama City, Saitama, Japan.
Koichi SuzukiDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama City, Saitama, Japan.ORCID 0000-0002-3548-0628
Yukihide KanemitsuDepartment of Colorectal Surgery, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-3366-3826
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-5371-706X
Atsuo TakashimaDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-8456-1248
Shigeki SekineDivision of Molecular Pathology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0003-0884-8981
Kouya ShiraishiDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-5821-7400

Funding

Grant-in-Aid for Challenging Exploratory Research 21K19492National Cancer Center Research and Development Fund
6 · The paper itself

Abstract

backgroundThe standard treatment for stage III colorectal cancer (CRC) is surgery, followed by adjuvant chemotherapy (AC). However, the efficacy of AC is limited and approximately 30% of patients experience recurrence. Therefore, easily assessable molecular biomarkers that can predict the response to AC are needed. Here, we aimed to identify predictive biomarkers of the response to AC using tumor transcriptomic data.

methodsTumor specimens from 253 patients who underwent surgery for stage III CRC between 1997 and 2019 were analyzed using RNA sequencing. Transcriptional subtyping and analyses of gut microbiome, immune cell fractions, and T-cell receptors (TCRs) were performed to identify factors associated with recurrence-free survival in patients treated with or without AC.

resultsAmong 253 patients, 118 (46.6%) received AC. Twenty phyla and 799 species were identified in the microbiomes, among which Fusobacteria were identified in 247 patients (97.6%). Multivariable Cox proportional hazards regression analysis of patients who received AC showed that intratumoral Fusobacterium abundance (hazard ratio [HR]  = 3.95, 95% confidence interval [CI]  = 1.05 to 14.8; P = .042) and TCR α and δ (TRAD) diversity (HR  = 0.41, 95% CI  = 0.20 to 0.87; P = .020) were independently associated with RFS.

conclusionFusobacterium abundance and TRAD diversity were associated with the response to AC, suggesting that these factors could serve as biomarkers for personalized treatment in stage III CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsGastrointestinal MicrobiomeAgedChemotherapy, AdjuvantDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsReceptors, Antigen, T-CellTreatment OutcomeBiomarkers, TumorReceptors, Antigen, T-Cell

Identifiers

PMID41965123
PMCPMC13283482

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.