Evidence map›Paper›PMID 40401725›Full record

ArticleInternational journal of cancer2025

Association between prediagnostic serum metabolites and pancreatic ductal adenocarcinoma risk in two prospective cohorts.

Ting Zhang, Steven C Moore, Sheng Fu, Xiaoyu Wang, Demetrius Albanes, Stephanie J Weinstein, Kai Yu, Rachael Z Stolzenberg-Solomon

Abstract read
In one paragraph

Article in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

8 authors.

Ting ZhangMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.ORCID 0000-0002-9862-9434
Steven C MooreMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Sheng FuBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Xiaoyu WangBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Demetrius AlbanesMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Stephanie J WeinsteinMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Kai YuBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Rachael Z Stolzenberg-SolomonMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.ORCID 0000-0003-3698-7006

Funding

Biochemical, molecular, and dietary studies for pancreatic cancer within PLCOZIACP010202 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI STOLZENBERG-SOLOMON, RACHAEL · 2010 to 2025
$3.4M
Intramural NIH HHS ZIA CP010202Intramural Research ProgramIntramural Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of HealthNCI NIH HHSNIH HHS
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is highly fatal, with incidence rising worldwide. Metabolomics may provide insight into etiology and mechanisms contributing to pancreatic carcinogenesis. We examined associations between 1483 prediagnostic (up to 24 years) serum metabolites and PDAC in nested case-control studies within a cohort of male Finnish smokers and another of American men and women (n = 732 matched pairs). We used conditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals per standard deviation increase in log-metabolite level within each cohort and combined using fixed-effect meta-analyses. We performed elastic net regression (EN) to select metabolites and calculated area under the curve (AUC) for established PDAC risk factors (smoking, diabetes, and overweight/obesity), selected metabolites, and their combination. Sixty-six metabolites were associated with PDAC at false discovery rate <0.05, with 26 below Bonferroni threshold (p < 3.4 × 10

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsAdultAgedCase-Control StudiesFemaleFinlandHumansMaleMetabolomicsMiddle AgedProspective StudiesRisk FactorsBiomarkers, Tumorepidemiologymetabolomicspancreatic cancerprospective study

Identifiers

PMID40401725
PMCPMC12329778

What OpenQuestion holds

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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.