Evidence map›Paper›PMID 39529638›Full record

ArticleGastro hep advances2024

Blood-Based microRNA Biomarker Signature of Early-Stage Pancreatic Ductal Adenocarcinoma With Lead-Time Trajectory in Prediagnostic Samples.

Warapen Treekitkarnmongkol, Jianliang Dai, Suyu Liu, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Hiroshi Katayama, Sinchita Roy-Chowdhuri and 8 more

Abstract read
In one paragraph

Article in Gastro hep advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Challenges of early detection of pancreatic cancer.The Journal of clinical investigation · 2025
    Review
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  8. Article
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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

18 authors.

Warapen TreekitkarnmongkolDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jianliang DaiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Suyu LiuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Deivendran SankaranDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Tristian NguyenDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Seetharaman BalasenthilDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Mark W HurdDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Meng ChenDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hiroshi KatayamaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sinchita Roy-ChowdhuriDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
George A CalinDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Randall E BrandDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Paul D LampeTranslation Research Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Tony Y HuDepartment of Molecular & Cellular Biology, Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana.
Anirban MaitraDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Eugene J KoayDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ann M KillaryDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Subrata SenDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
Clinical Validation Center for Early Detection of Pancreatic CancerU01CA200468 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIRBAN MAITRA · 2016 to 2026
$11.0M
Circulating Biomarkers and Imaging for Early Detection of Pancreatic CancerU01CA214263 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI EUGENE J KOAY, Subrata Sen · 2018 to 2026
$7.2M
Digital Nanoplasmonic Quantification of Tumor-derived Extracellular Vesicles in Plasma MicrosamplesU01CA252965 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI HU, TONY Y., LU, HUA · 2020 to 2024
$3.0M
NCI NIH HHS P50 CA221707NCI NIH HHS U01 CA200468NCI NIH HHS U01 CA214263NCI NIH HHS U01 CA252965
6 · The paper itself

Abstract

Background and Aims: Clinically validated biomarker of pancreatic ductal adenocarcinoma (PDAC), carbohydrate antigen 19-9 (CA19-9), has limited sensitivity and specificity for early-stage disease. Circulating miRNAs in plasma associated with cancer relevant pathways were developed as early detection biomarkers. Methods: 2083 miRNAs in 15 μl of plasma from multicenter age-matched cohorts ( Results: The three-miRNA signature (let-7i-5p, miR-130a-3p and miR-221-3p) detected PDAC from healthy controls independently (area under the curve [AUC] of stage I, II, I-IV = 0.970, 0.975, 0.974) and in combination with CA19-9 (AUC of stage I, II, I-IV = 1.000, 0.992, 0.995). It also discriminated chronic pancreatitis (AUC of stage I, II, I-IV = 0.932, 0.931, 0.929), improving performance of CA19-9 alone (AUC of stage I, II, I-IV = 0.763, 0.701, 0.735) in combination (AUC of stage I, II, I-IV = 0.971, 0.943, 0.951). Blinded validation in prediagnostic Prostate, Lung, Colorectal, and Ovarian cohort revealed lead-time trajectory increase in AUC from 0.702 to 0.729 to 0.757 at twelve-, six-, and three-months before PDAC diagnosis, respectively. The signature also helped stratification of patients with different circulating tumor DNA and imaging subtypes. Conclusion: Plasma miRNAs associated with oncogenic pathways may serve as PDAC early detection biomarkers.

Indexed as

Early Detection BiomarkersLiquid BiopsyPancreatic Ductal AdenocarcinomaPlasma miRNAProstate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial

Identifiers

PMID39529638
PMCPMC11550741

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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.