Evidence map›Paper›PMID 24571389›Full record

ArticleJournal of proteome research2014

Glycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis.

Song Nie, Andy Lo, Jing Wu, Jianhui Zhu, Zhijing Tan, Diane M Simeone, Michelle A Anderson, Kerby A Shedden, Mack T Ruffin, David M Lubman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% of its field
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

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Catching pancreatic cancer early: Are we there yet?Journal of the National Cancer Center · 2026
    Review
  4. Article
  5. Article
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  8. Review
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  11. Article
  12. Article
  13. Mass spectrometry analysis of intact proteinJournal of Zhejiang University. Science. B · 2024
    Article
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  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

7 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 1 country.

Song NieDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Andy Lo
Jing Wu
Jianhui Zhu
Zhijing Tan
Diane M Simeone
Michelle A Anderson
Kerby A Shedden
Mack T Ruffin
David M Lubman
University of Michigan–Ann Arbor · US

Funding

Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Serum glycoprotein markers of cancer using an ion mobility/mass spec approachR01CA154455 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2011 to 2013
$921k
Validation Study of Select Biomarkers for the Diagnostic of Pancreatic CancerK23DK082097 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANDERSON, MICHELLE ANN · 2008 to 2012
$902k
NCI NIH HHS 1 P50CA130810NCI NIH HHS 1 R01 CA154455NCI NIH HHS P50 CA130810NCI NIH HHS R01 CA154455NIDDK NIH HHS K23 DK082097NIGMS NIH HHS R01 GM049500NIGMS NIH HHS R01 GM49500
6 · The paper itself

Abstract

Pancreatic cancer is a lethal disease where specific early detection biomarkers would be very valuable to improve outcomes in patients. Many previous studies have compared biosamples from pancreatic cancer patients with healthy controls to find potential biomarkers. However, a range of related disease conditions can influence the performance of these putative biomarkers, including pancreatitis and diabetes. In this study, quantitative proteomics methods were applied to discover potential serum glycoprotein biomarkers that distinguish pancreatic cancer from other pancreas related conditions (diabetes, cyst, chronic pancreatitis, obstructive jaundice) and healthy controls. Aleuria aurantia lectin (AAL) was used to extract fucosylated glycoproteins and then both TMT protein-level labeling and label-free quantitative analysis were performed to analyze glycoprotein differences from 179 serum samples across the six different conditions. A total of 243 and 354 serum proteins were identified and quantified by label-free and TMT protein-level quantitative strategies, respectively. Nineteen and 25 proteins were found to show significant differences in samples between the pancreatic cancer and other conditions using the label-free and TMT strategies, respectively, with 7 proteins considered significant in both methods. Significantly different glycoproteins were further validated by lectin-ELISA and ELISA assays. Four candidates were identified as potential markers with profiles found to be highly complementary with CA 19-9 (p < 0.001). Obstructive jaundice (OJ) was found to have a significant impact on the performance of every marker protein, including CA 19-9. The combination of α-1-antichymotrypsin (AACT), thrombospondin-1 (THBS1), and haptoglobin (HPT) outperformed CA 19-9 in distinguishing pancreatic cancer from normal controls (AUC = 0.95), diabetes (AUC = 0.89), cyst (AUC = 0.82), and chronic pancreatitis (AUC = 0.90). A marker panel of AACT, THBS1, HPT, and CA 19-9 showed a high diagnostic potential in distinguishing pancreatic cancer from other conditions with OJ (AUC = 0.92) or without OJ (AUC = 0.95).

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorFemaleGlycoproteinsHumansMaleMiddle AgedPancreatic NeoplasmsProteomicsReproducibility of ResultsROC CurveBiomarkers, TumorGlycoproteins

Identifiers

PMID24571389
PMCPMC3993962
OpenAlexW2334353005

What OpenQuestion holds

Textmetadata
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.