Evidence map›Paper›PMID 41845595›Full record

ArticleInternational journal of cancer2026

Dynamics of the association between circulating levels of miRNA and pancreatic cancer risk through the years prior to pancreatic cancer diagnosis.

Hui Cai, Veronica Wendy Setiawan, Xingyi Guo, Jie Wu, Rachael Stolzenberg-Solomon, Yu-Tang Gao, Jordan Berlin, Fei Ye, Qiuyin Cai, Wei Zheng and 1 more

Abstract read
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In one paragraph

Article in International journal of cancer, 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

11 authors.

Hui CaiDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-2388-1694
Veronica Wendy SetiawanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jie WuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Rachael Stolzenberg-SolomonMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Yu-Tang GaoDepartment of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jordan BerlinDivision of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Fei YeDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-6472-5076
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-0711-8314

Funding

the National Cancer Institute at the National Institutes of Health CA227133
6 · The paper itself

Abstract

Early diagnosis of pancreatic ductal adenocarcinoma (PDAC) is critical to improving the overall prognosis. However, biomarkers for early diagnosis are lacking. We used pre-diagnostic plasma samples from 1307 PDAC cases and individually matched cancer-free controls from five prospective cohort studies. Conditional logistic regression was used to assess the association of circulating miRNAs with PDAC risk. Linear regression was conducted to identify miRNAs ratio (miRNA levels of case over their matched control) change associated with the lead time from blood draw to PDAC diagnosis. We found 20 miRNAs significantly associated with PDAC risk (p

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalCirculating MicroRNAMicroRNAsPancreatic NeoplasmsAgedCase-Control StudiesEarly Detection of CancerFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsBiomarkers, TumorCirculating MicroRNAMicroRNAsarea under receiver operating characteristic curveearly detectionmiRNApancreatic cancerpre‐diagnostic plasma sample

Identifiers

PMID41845595
PMCPMC13193466

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.