Evidence map›Paper›PMID 23125171›Full record

ReviewProteomics2013

Tissue proteomics in pancreatic cancer study: discovery, emerging technologies, and challenges.

Sheng Pan, Teresa A Brentnall, Kimberly Kelly, Ru Chen

Registry-linked trialAbstract readReview
In one paragraph

Review in Proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02838862 (Identification of Biomarker Profiles for Individualized Prognostic Stratification and Therapy in Patients With Gastroenteropancreatic Neuroendocrine Neoplasia), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT02838862 unknown statusnot on this mapstarted 2016, after this paper: background citation

Identification of Biomarker Profiles for Individualized Prognostic Stratification and Therapy in Patients With Gastroenteropancreatic Neuroendocrine Neoplasia (GEP-NEN)

TypeobservationalSponsorUniversity Hospital Schleswig-HolsteinRan2016 to 2017Enrolled470ConditionsNeuroendocrine Tumors
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Impact of proteomics investigations on gastric cancer treatment and diagnosis.Gastroenterology and hepatology from bed to bench · 2019
    Review
  10. Article
  11. Molecular Targeted Therapy Approach to Musculoskeletal Tumors.Techniques in orthopaedics (Rockville, Md.) · 2018
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Glycoproteins and glycoproteomics in pancreatic cancer.World journal of gastroenterology · 2016
    Review
  17. Article
  18. Review
  19. Review
  20. Review
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

4 authors.

Sheng PanDepartment of Medicine, University of Washington, Seattle, WA 98195, USA. shengp@medicine.washington.edu
Teresa A Brentnall
Kimberly Kelly
Ru Chen

Funding

Clonally Expanded Mutations Identify Cancer Precursors in Chronic InflammationR01CA160674 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A, LOEB, LAWRENCE A · 2012 to 2016
$2.8M
Pancreatic Cancer Protein Biomarkers for Early DetectionR01CA107209 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2006 to 2010
$2.5M
Development of Chronic Pancreatitis BiomarkersR01DK081368 · NIDDK · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2009 to 2010
$1.5M
Protein biomarkers for detection of pancreatic cancerK07CA116296 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2007 to 2011
$650k
Quantitative glycoproteomics for pancreatic cancer studiesK25CA137222 · NCI · UNIVERSITY OF WASHINGTON · PI PAN, SHENG · 2010 to 2014
$612k
Aberrant Glycosylation Signature in Pancreatic CancerR21CA149772 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A, PAN, SHENG · 2011 to 2012
$396k
Pancreatic Juice Biomarker for Pancreatic CancerR21CA161575 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2011 to 2012
$388k
NCI NIH HHS K07 CA116296NCI NIH HHS K07CA116296NCI NIH HHS K25 CA137222NCI NIH HHS K25CA137222NCI NIH HHS R01 CA107209NCI NIH HHS R01CA107209NCI NIH HHS R01 CA160674NCI NIH HHS R21 CA149772NCI NIH HHS R21CA149772NCI NIH HHS R21 CA161575NCI NIH HHS R21CA161575NIDDK NIH HHS R01 DK081368NIDDK NIH HHS R01DK081368
6 · The paper itself

Abstract

Pancreatic cancer is a highly lethal disease that is difficult to diagnose and treat. The advances in proteomics technology, especially quantitative proteomics, have stimulated a great interest in applying this technology for pancreatic cancer study. A variety of tissue proteomics approaches have been applied to investigate pancreatic cancer and the associated diseases. These studies were carried out with various goals, aiming to better understand the molecular mechanisms underlying pancreatic tumorigenesis, to improve therapeutic treatment and to identify cancer associated protein signatures, signaling events as well as interactions between cancer cells and tumor microenvironment. Here, we provide an overview on the tissue proteomics studies of pancreatic cancer reported in the past few years in light of discovery and technology development.

Indexed as

AnimalsCell Line, TumorHumansMass SpectrometryNeoplastic Stem CellsPancreatic NeoplasmsProteomeProteomicsSignal TransductionTissue FixationProteome

Identifiers

PMID23125171
PMCPMC3805502

What OpenQuestion holds

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Registered trials

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.