Evidence map›Paper›PMID 41870276›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Pancreatic Cancer Detection Consortium Biomarker Bakeoff: A Phase II Blinded Biomarker Validation and Panel Discovery Study.

Ann L Oberg, William R Bamlet, Grant Izmirlian, Seetharaman Balasenthil, Surinder K Batra, Masataka Hayashi, Daniel S Herman, Michael A Hollingsworth, Maneesh Jain, Ann M Killary and 10 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 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

20 authors.

Ann L ObergDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-2539-9807
William R BamletDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-2903-1284
Grant IzmirlianBiopharmaceutical Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-0481-631X
Seetharaman BalasenthilDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9168-8362
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0001-9470-9317
Masataka HayashiDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-1823-0205
Daniel S HermanDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-2873-587X
Michael A HollingsworthEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-5255-8888
Maneesh JainDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-2020-3687
Ann M KillaryDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-9250-0832
Brianna M KrusenDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0009-0006-7197-5843
Suyu LiuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-0126-2646
Shounak MajumderDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-7687-049X
Gopalakrishnan NatarajanDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0009-0006-0883-3623
Subrata SenDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6884-6246
Lynette M SmithDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-0836-9932
Sudhir SrivastavaDivision of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-7798-9772
Brian M WolpinDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0455-1032
Kenneth S ZaretDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-8932-3145
Michael G GogginsDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4286-2296

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2018
$32.7M
Pancreatic Cancer Detection ConsortiumU01CA210240 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Michael A. Hollingsworth · 2017 to 2026
$12.9M
Using markers to improve pancreatic cancer screening and surveillance: a multi-center studyU01CA210170 · NCI · JOHNS HOPKINS UNIVERSITY · PI Michael G. Goggins · 2016 to 2026
$9.3M
Mayo Clinic Prospective Resource for Biomarker Validation and Early Detection of Pancreatic CancerU01CA210138 · NCI · MAYO CLINIC ROCHESTER · PI Shounak Majumder, Kenneth Zaret · 2016 to 2026
$9.0M
Circulating Biomarker Consortium for Pancreatic Cancer Early DetectionU01CA210171 · NCI · DANA-FARBER CANCER INST · PI Michael H. Rosenthal, Brian Matthew Wolpin · 2016 to 2026
$8.7M
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
Using Markers to Improve Pancreatic Cancer ScreeningR01CA176828 · NCI · JOHNS HOPKINS UNIVERSITY · PI GOGGINS, MICHAEL G. · 2013 to 2024
$4.1M
Management and Data Coordination Unit for PCDCU24CA274496 · NCI · MAYO CLINIC ROCHESTER · PI Ann Laura Oberg · 2022 to 2026
$3.3M
Centene Foundation (Centene)Division of Cancer Prevention, National Cancer Institute (DCP, NCI) CA176828Division of Cancer Prevention, National Cancer Institute (DCP, NCI) P30CA15083Division of Cancer Prevention, National Cancer Institute (DCP, NCI) P50CA102701Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U01CA210138Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U01CA210170Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U01CA210171Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U01CA210240Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U01CA214263Division of Cancer Prevention, National Cancer Institute (DCP, NCI) U24CA274496Lustgarten Foundation (Lustgarten)NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA102701NCI NIH HHS R01 CA176828NCI NIH HHS U01 CA210138NCI NIH HHS U01 CA210170NCI NIH HHS U01 CA210171NCI NIH HHS U01 CA210240NCI NIH HHS U01 CA214263NCI NIH HHS U24 CA274496Sol Goldman Charitable Trust (GoldMan Family Trust)Stand Up To Cancer (SU2C) SU2C-AACR-D25-17
6 · The paper itself

Abstract

purposeThe Pancreatic Cancer Detection Consortium (PCDC) performed a blinded Early Detection Research Network-defined phase II biomarker bakeoff study of blood-based biomarker panels. The aims were to evaluate panel performance, to compare the panels' performance with that of cancer antigen 19-9 (CA19-9) alone, and to evaluate the performance of new combinations of the individual biomarkers. EXPERIMENTAL

designTen biomarkers representing eight biomarker panels and CA19-9 were evaluated using plasma, serum, and germline DNA from 140 stage I to IV pancreatic ductal adenocarcinoma (PDAC) cases and 140 controls from three tertiary care institutions, with controls frequency matched to cases on age and sex. LASSO regression was employed to explore new biomarker combinations. The primary metric was area under the receiver operating characteristic curve (AUC).

resultsThe study population was 51% female, with median age 67.3 (minimum: 45, maximum: 90) years. Biomarker panel AUCs ranged from 89.9 to 96.3; the AUC for serum CA19-9 alone was 91.7 [95% confidence interval (CI), 87.8-95.6]. Two panels had significantly higher AUCs than serum CA19-9 alone, the CA19-9/FUT2/3 panel (AUC = 96.3, P = 0.002), and the tissue factor pathway inhibitor/tenascin C (TFPI/TNC-FNIII-C) panel (AUC = 95, P = 0.01). Exploratory models to recombine biomarkers retained all but two biomarkers [optimism-corrected AUC = 96.4 (94-98.9)].

conclusionsThe CA19-9/FUT2/3 panel was the best performing panel in this biomarker bakeoff. Its evaluation in larger studies is warranted. Biomarker bakeoffs are an effective strategy for comparing the performance of promising biomarkers for pancreatic cancer early detection, and the PCDC is well poised to conduct such studies. Recommendations for performing such studies are provided.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalEarly Detection of CancerPancreatic NeoplasmsAgedAged, 80 and overCA-19-9 AntigenCase-Control StudiesFemaleHumansMaleMiddle AgedNeoplasm StagingROC CurveBiomarkers, TumorCA-19-9 Antigen

Identifiers

PMID41870276
PMCPMC13266336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.