Evidence map›Paper›PMID 42576026›Full record

ArticleNature genetics2026

Prevalence and chronology of colibactin-associated mutational processes and their microbiome spectra in Japanese colorectal cancer.

Satoshi Shiba, Shinichi Yachida, Sayaka Mizutani, Yasushi Totoki, Hiromi Nakamura, Natsuko Hama, Norikatsu Miyoshi, Yasuhito Arai, Mihoko Saito-Adachi, Hirokazu Kimura and 13 more

Abstract read
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

23 authors.

Satoshi Shiba *Department of Cancer Genome Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Shinichi Yachida *Department of Cancer Genome Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan. syachida@cgi.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0001-5507-4566
Sayaka Mizutani *School of Life Science and Technology, Institute of Science Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4168-6195
Yasushi Totoki *Department of Cancer Genome Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.ORCID http://orcid.org/0000-0003-1876-6859
Hiromi Nakamura *Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
Natsuko HamaDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
Norikatsu MiyoshiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.ORCID http://orcid.org/0000-0003-1113-8884
Yasuhito AraiDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6306-9409
Mihoko Saito-AdachiDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9213-0184
Hirokazu KimuraDepartment of Cancer Genome Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yoshito HayashiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Hiroyuki TakamaruEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Koji TanakaDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Rie HayashiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Hirofumi RokutanDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4172-4892
Shoko IkutaDepartment of Cancer Genome Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yukihide KanemitsuDepartment of Colorectal Surgery, National Cancer Center Hospital, Tokyo, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Satoshi HattoriDepartment of Biomedical Statistics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yutaka SaitoEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Takuji YamadaSchool of Life Science and Technology, Institute of Science Tokyo, Tokyo, Japan. takuji@bio.titech.ac.jp.ORCID http://orcid.org/0000-0002-9622-1849
Tatsuhiro ShibataDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan. tshibata@ims.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-0477-210X

Funding

Japan Agency for Medical Research and Development (AMED) JP21cm0106477Japan Agency for Medical Research and Development (AMED) JP22ck0106546Japan Agency for Medical Research and Development (AMED) JP23jk0210009Japan Agency for Medical Research and Development (AMED) JP25ama221430Japan Agency for Medical Research and Development (AMED) JP25ck0106799Japan Agency for Medical Research and Development (AMED) JP25ck0106800Japan Agency for Medical Research and Development (AMED) JP25ck0106874Japan Agency for Medical Research and Development (AMED) JP25gm2010009Japan Agency for Medical Research and Development (AMED) JP26ck0106162Japan Agency for Medical Research and Development (AMED) JP26gm2010009Japan Agency for Medical Research and Development (AMED) JP26jf0126022MEXT | Japan Science and Technology Agency (JST) 20H03662, 23H02892, 25K21771MEXT | Japan Society for the Promotion of Science (JSPS) JP16H06279, 22K16336
6 · The paper itself

Abstract

The incidence of colorectal cancer (CRC) has risen in recent decades, with a disproportionate increase observed among younger individuals in Japan and other countries. The etiological contribution of the gut microbiota to CRC pathogenesis is recognized, yet the mechanisms involved remain to be fully clarified. Here we integrated whole-genome sequencing (WGS) and transcriptome profiling of CRC with whole-genome metagenomic sequencing of fecal samples to interrogate host-microbiome interactions at high resolution. Application of interpretable artificial intelligence enabled the stratification of CRC into four distinct microbiome-informed subtypes. WGS analysis identified mutational signatures SBS88 and ID18, linked to colibactin exposure, as early clonal events detected in 44.8% of non-hypermutated patients. Notably, these signatures were significantly more frequent among patients born after the 1960s. Microbiome-based subclassification revealed subtype-specific clinical and molecular features. Collectively, our findings indicate that colibactin exposure constitutes a prevalent and potentially modifiable risk factor for CRC in the Japanese population.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeMutationPeptidesPolyketidesAgedEast Asian PeopleFecesFemaleGene Expression ProfilingHumansJapanMaleMiddle AgedPrevalenceRisk FactorscolibactinPeptidesPolyketides

Identifiers

PMID42576026
PMCPMC13553305

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.