Evidence map›Paper›PMID 41258140›Full record

ArticleCommunications medicine2025

Pan-cancer prevalence, risk, and clinical and demographic characteristics of Lynch Syndrome-associated variants in BioBank Japan.

Keijiro Mizukami, Yoshiaki Usui, Yusuke Iwasaki, Kouya Shiraishi, Makoto Hirata, Yoichiro Kamatani, Mikiko Endo, Satoshi Takahashi, Yoshiki Mochizuki, Mitusyo Yamaguchi and 11 more

Abstract read
In one paragraph

Article in Communications medicine, 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

21 authors.

Keijiro MizukamiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-6023-3242
Yoshiaki UsuiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-6180-0704
Yusuke IwasakiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kouya ShiraishiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5821-7400
Makoto HirataDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Yoichiro KamataniLaboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-8748-5597
Mikiko EndoLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Satoshi TakahashiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoshiki MochizukiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Mitusyo YamaguchiLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5371-706X
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Kokichi SuganoDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Teruhiko YoshidaDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0003-1807-772X
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Yuriko N KoyanagiDivision of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center, Nagoya, Japan.ORCID http://orcid.org/0000-0002-5675-3429
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center, Nagoya, Japan.ORCID http://orcid.org/0000-0003-1761-6314
Yoshinori MurakamiDepartment of Molecular Biology, Institute for Advanced Medical Sciences, Nippon Medical School, Tokyo, Japan.
Amanda B SpurdleDivision of Genetics and Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. momozawa@riken.jp.ORCID http://orcid.org/0000-0001-5638-3504

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP177524Japan Agency for Medical Research and Development (AMED) 19cm0106605h0003Japan Agency for Medical Research and Development (AMED) JP19kk0305010Japan Agency for Medical Research and Development (AMED) JP23ck0106805Japan Agency for Medical Research and Development (AMED) JP23tm0624002
6 · The paper itself

Abstract

backgroundAlthough germline testing for DNA mismatch repair (MMR) genes is routinely performed, clinical guidelines highlight evidence gaps due to limited populations and biases. We examined germline pathogenic variants of MMR genes (MLH1, MSH2, MSH6, and PMS2) in 112,927 unselected individuals from BioBank Japan.

methodsWe analyzed 74,085 cancer patients with 23 cancer types and 38,842 controls matched by sex, age, and hospital area from BioBank Japan, collected between April 2003 and March 2018. Germline pathogenic variants in the coding regions and 2 bp flanking intronic sequences of MMR genes were identified using a multiplex PCR-based target sequencing method. We examined associations with cancer types and demographic characterization of the pathogenic variants, comparing findings to existing clinical guidelines.

resultsHere we show 228 pathogenic variants identified in MMR genes, with pathogenic MSH6 variants most frequently observed in endometrial cancer and 12 other significant associations. Twelve other significant associations are noted across a broad range of odds ratios, whereas pancreatic cancer exhibits no such association. Pathogenic variant carriers are diagnosed up to 12.4 years earlier than non-carriers, and colorectal and gastric cancers are diagnosed up to 16.4 years later than indicated by the guidelines. Higher carrier frequencies are observed in patients with both colorectal and endometrial cancers (24.8%) and in those with endometrial cancer and a family history of endometrial (26.0%) or colorectal (16.1%) cancers.

conclusionsThis study provides critical insights for clinical guidelines on the associations between cancer types, age at diagnosis, and carrier frequency.

Identifiers

PMID41258140
PMCPMC12700874

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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.