Evidence map›Paper›PMID 41709847›Full record

ArticleCancer science2026

Associations Between Obesity, Diabetes Mellitus, and Pancreatic Cancer in the Japanese Population: A Mendelian Randomization Study.

Yingsong Lin, Haruki Sasado, Naoki Sasahira, Makoto Ueno, Hiroshi Ishii, Naoto Egawa, Yasushi Adachi, Masato Ozaka, Satoshi Kobayashi, Yuriko N Koyanagi and 32 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

42 authors.

Yingsong LinDepartment of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan.ORCID https://orcid.org/0000-0003-0214-3649
Haruki SasadoPublic Health Informatics Unit, Department of Integrated Health Science, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naoki SasahiraDepartment of Hepato-Biliary-Pancreatic Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Makoto UenoDepartment of Gastroenterology, Kanagawa Cancer Center, Yokohama, Japan.
Hiroshi IshiiGastrointestinal Medical Oncology, Chiba Cancer Center, Chiba, Japan.
Naoto EgawaDepartment of Internal Medicine, Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan.
Yasushi AdachiDivision of Gastroenterology, Department of Internal Medicine, Sapporo Shirakaba-dai Hospital, Sapporo, Japan.ORCID https://orcid.org/0000-0002-2530-1745
Masato OzakaDepartment of Hepato-Biliary-Pancreatic Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Satoshi KobayashiDepartment of Gastroenterology, Kanagawa Cancer Center, Yokohama, Japan.
Yuriko N KoyanagiDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID https://orcid.org/0000-0002-5675-3429
Sayaka YamamotoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID https://orcid.org/0000-0002-8023-4581
Akira NaritaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Mika Sakurai-YagetaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Takuji OkusakaDepartment of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Aya KuchibaTeikyo University Graduate School of Public Health, Tokyo, Japan.
Teruhiko YoshidaDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Fumihiko MatsudaCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yoichiro KamataniLaboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Japan.
Shiori NakanoDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5762-850X
Taiki YamajiDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4799-8782
Norie SawadaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9936-1476
Aya KadotaNCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Kiyonori KurikiLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Takeshi WatanabeDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Nobuo FuseTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kengo KinoshitaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Naoki NakayaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.ORCID https://orcid.org/0000-0002-1467-161X
Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
Yayoi Otsuka-YamasakiDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
Kozo TannoDepartment of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan.
Ken SuzukiDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takashi KadowakiToranomon Hospital, Tokyo, Japan.
BioBank Japan
Motoki IwasakiDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3319-4131
Sho NakamuraGraduate School of Health of Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-5378-9477
Atsushi HozawaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Atsushi ShimizuTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Shogo KikuchiAichi Medical University, Nagakute, Japan.
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Science, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-1838-4837
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1761-6314

Funding

JSPS KAKENHI 17H04127JSPS KAKENHI 21H03186JSPS KAKENHI 22H04923JSPS KAKENHI 25K02885National Cancer Center Research and Development Fund 2022-A-20National Cancer Center Research and Development Fund 2025-A-23National Cancer Center Research and Development Fund 28-A-19National Cancer Center Research and Development Fund 31-A-18
6 · The paper itself

Abstract

The association between body mass index (BMI) and pancreatic cancer remains elusive in Asian populations. Clarifying the causal relationship between type 2 diabetes (T2D) and pancreatic cancer warrants triangulation of evidence, with Mendelian Randomization (MR) providing a robust approach. A two-sample, multivariable MR analysis was performed to investigate the associations between BMI, T2D, and pancreatic cancer risk in the Japanese population. Single nucleotide polymorphisms (SNPs) associated with BMI and T2D were selected from the Genome-Wide Association Study (GWAS) Catalog, and summary statistics for pancreatic cancer were derived from our previous GWAS in the Japanese population. MR analyses were performed using a random-effects inverse variance-weighted (IVW) method as well as sensitivity analyses. Genetic predisposition to T2D, assessed using 891 SNPs, was associated with increased pancreatic cancer risk (IVW odds ratio [OR]: 1.16; 95% confidence interval [CI]: 1.08-1.25 per 1-unit increase in the ln odds of T2D). MR-Egger and weighted median MR analyses yielded similar results. By contrast, genetically indexed BMI showed no association with pancreatic cancer risk (IVW OR: 1.00; 95% CI: 0.95-1.04 per 1 kg/m

Indexed as

Diabetes Mellitus, Type 2East Asian PeopleObesityPancreatic NeoplasmsBody Mass IndexGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansJapanMendelian Randomization AnalysisOdds RatioPolymorphism, Single NucleotideRisk Factorsbody mass indexmendelian randomization analysisodds ratiopancreatic neoplasmstype 2 diabetes mellitus

Identifiers

PMID41709847
PMCPMC13134504

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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.