Evidence map›Paper›PMID 41593855›Full record

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

Improving a Plasma Biomarker Panel for Early Detection of Pancreatic Ductal Adenocarcinoma with Aminopeptidase N (ANPEP) and Polymeric Immunoglobulin Receptor (PIGR).

Brianna M Krusen, Phyllis A Gimotty, Greg Donahue, Jacob E Till, Melinda Yin, Erin E Carlson, William R Bamlet, Erica L Carpenter, Shounak Majumder, Ann L Oberg and 1 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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Brianna M KrusenDepartment of Cell and Developmental Biology, Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0009-0006-7197-5843
Phyllis A GimottyDepartment of Biostatistics, Epidemiology, and Informatics, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-3850-9799
Greg DonahueDepartment of Cell and Developmental Biology, Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-2378-1618
Jacob E TillDivision of Hematology-Oncology, Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-2824-1282
Melinda YinDivision of Hematology-Oncology, Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0009-0001-1529-0544
Erin E CarlsonDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-5988-0135
William R BamletDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-2903-1284
Erica L CarpenterDivision of Hematology-Oncology, Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-0735-3605
Shounak MajumderDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-7687-049X
Ann L ObergDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-2539-9807
Kenneth S ZaretDepartment of Cell and Developmental Biology, Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-8932-3145

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Aaron Robert Goldman · 1985 to 2026
$75.9M
Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2018
$32.7M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
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
Purchase of a Q Exactive HF mass spectrometer system for metabolomicsS10OD023586 · OD · WISTAR INSTITUTE · PI SPEICHER, DAVID W. · 2017 to 2017
$600k
Lustgarten Foundation (Lustgarten)National Cancer Institute (NCI) P30CA010815National Cancer Institute (NCI) P30CA091842National Cancer Institute (NCI) P30CA15083National Cancer Institute (NCI) P50CA102701National Cancer Institute (NCI) S10OD023486-01National Cancer Institute (NCI) U01CA210138National Center for Advancing Translational Sciences (NCATS) UL1TR002345National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) P30DK020579NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA010815NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA102701NCI NIH HHS U01 CA210138NIDDK NIH HHS P30 DK020579NIH HHS S10 OD023586
6 · The paper itself

Abstract

purposePancreatic ductal adenocarcinoma (PDAC) is typically detected too late for useful therapeutic interventions; hence, we sought blood biomarkers to detect early-stage disease. EXPERIMENTAL

designUsing mass spectrometry and ELISA on plasma pools from the University of Pennsylvania (Penn) and the Mayo Clinic (Mayo), we identified aminopeptidase N (ANPEP) and polymeric immunoglobulin receptor (PIGR) as increased in early-stage (stage I/II) PDAC plasma compared with controls. We tested ANPEP and PIGR, along with prior data for thrombospondin 2 (THBS2) and carbohydrate antigen 19-9 (CA19-9), in retrospective phase II studies using separate cohorts of PDAC plasmas at different stages versus healthy or nonmalignant disease controls (DC) from Penn (n = 135) and Mayo (n = 537).

resultsComparing healthy controls with stage I/II PDAC, we obtained area under the receiver-operating characteristic curves (AUC) of 0.78 [95% confidence interval (CI), 0.68-0.86]/0.80 (95% CI, 0.74-0.85; ANPEP) and 0.81 (95% CI, 0.70-0.88)/0.86 (95% CI, 0.82-0.90; PIGR) for the Penn/Mayo phase II studies, respectively. In multivariable models, CA19-9/THBS2/ANPEP, CA19-9/THBS2/PIGR, and CA19-9/THBS2/ANPEP/PIGR elicited AUC of 0.94 to 0.96 for Penn and 0.97 for Mayo. Notably, the four-marker panel elicited AUC of 0.87 for the Mayo stage I/II versus DC and 0.91 for stages I to IV versus DC. At a specificity of 95%, a plasma biomarker panel composed of CA19-9 (≥35 U/mL), THBS2 (≥42 ng/mL), ANPEP (≥2,995 ng/mL), and PIGR (≥1,800 ng/mL) yielded a sensitivity of 91.9% for PDAC stages I to IV and 87.5% for PDAC stage I/II.

conclusionsAdding ANPEP and PIGR to a plasma biomarker panel of CA19-9 and THBS2 enhances the detection of early-stage PDAC when comparing cancer versus healthy or nonmalignant DC. Given the concordance of our data in two retrospective phase II studies, assessments in prediagnostic cases are warranted.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalCD13 AntigensEarly Detection of CancerPancreatic NeoplasmsReceptors, Polymeric ImmunoglobulinAgedFemaleHumansMaleMiddle AgedNeoplasm StagingRetrospective StudiesROC CurveBiomarkers, TumorCD13 AntigensReceptors, Polymeric Immunoglobulin

Identifiers

PMID41593855
PMCPMC12854516

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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.