Evidence map›Paper›PMID 24523528›Full record

ArticleJournal of the National Cancer Institute2014

Proteomic mucin profiling for the identification of cystic precursors of pancreatic cancer.

Karolina S Jabbar, Caroline Verbeke, Anders G Hyltander, Henrik Sjövall, Gunnar C Hansson, Riadh Sadik

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Imaging modalities for characterising focal pancreatic lesions.The Cochrane database of systematic reviews · 2017
    Pooled it
  2. Highly Accurate Identification of Cystic Precursor Lesions of Pancreatic Cancer Through Targeted Mass Spectrometry: A Phase IIc Diagnostic Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. The assessment of endosonographers in training.World journal of clinical cases · 2018
    Review
  8. Review
  9. Review
  10. [Resection of main duct and mixed type IPMN ≥5 mm].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2017
    Review
  11. Endoscopic Management of Pancreatic Cysts.Digestive diseases and sciences · 2017
    Review
  12. Novel Biomarkers for Pancreatic Cysts.Digestive diseases and sciences · 2017
    Review
  13. Glycoproteins and glycoproteomics in pancreatic cancer.World journal of gastroenterology · 2016
    Review
  14. Cyst Fluid Telomerase Activity Predicts the Histologic Grade of Cystic Neoplasms of the Pancreas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Article
  15. Clinical approach to incidental pancreatic cysts.World journal of gastroenterology · 2016
    Review
  16. Review
  17. Review
  18. Systematic Review of Pancreatic Cyst Fluid Biomarkers: The Path Forward.Clinical and translational gastroenterology · 2015
    Article
  19. Cystic tumors of the pancreas: Opportunities and risks.World journal of gastrointestinal pathophysiology · 2015
    Article
  20. Endosonography in the diagnosis and management of pancreatic cysts.World journal of gastrointestinal endoscopy · 2015
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Karolina S JabbarAffiliations of authors: Department of Medical Biochemistry, University of Gothenburg, Gothenburg, Sweden (KSJ, GCH); Department of Gastroenterology and Hepatology (KSJ, HS, RS) and Department of Surgery (AGH), Sahlgrenska University Hospital, Gothenburg, Sweden; Division of Pathology, Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden (CV).
Caroline Verbeke
Anders G Hyltander
Henrik Sjövall
Gunnar C Hansson
Riadh Sadik
Karolinska Institutet · SEKarolinska University Hospital · SESahlgrenska University Hospital · SEUniversity of Gothenburg · SE

Funding

The MUC2 Mucus Gel as an Innate Immune Mechanism that Inhibits InflammationU01AI095473 · NIAID · GOTEBORG UNIVERSITY · PI HANSSON, GUNNAR C., JOHANSSON, MALIN E.V. · 2011 to 2020
$2.6M
NIAID NIH HHS U01 AI095473
6 · The paper itself

Abstract

backgroundPancreatic cystic lesions (PCLs) are increasingly frequent radiological incidentalomas, with a considerable proportion representing precursors of pancreatic cancer. Better diagnostic tools are required for patients to benefit from this development.

methodsTo evaluate whether cyst fluid mucin expression could predict malignant potential and/or transformation in PCLs, a proteomic method was devised and prospectively evaluated in consecutive patients referred to our tertiary center for endoscopic ultrasound-guided aspiration of cystic lesions from May 2007 through November 2008 (discovery cohort) and from December 2008 through October 2012 (validation cohort). Cytology and cyst fluid carcinoembryonic antigen (CEA; premalignancy > 192 ng/mL, malignancy > 1000 ng/mL) were routinely analyzed, and samples were further processed as follows: one-dimensional gel electrophoresis, excision of high-mass areas, tryptic digestion and nano-liquid chromatography-tandem mass spectrometry, with peptide identification by Mascot software and an in-house mucin database. All diagnostic evaluations were blinded to proteomics results. Histology was required to confirm the presence/absence of malignant transformation. All statistical tests were two-sided.

resultsProteomic mucin profiling proved statistically significantly more accurate (97.5%; 95% confidence interval [CI] = 90.3% to 99.6%) than cytology (71.4%; 95% CI = 59.8% to 80.9%; P < .001) and cyst fluid CEA (78.0%; 95% CI = 65.0% to 87.3%; P < .001) in identifying the 37 (out of 79; 46.8%) lesions with malignant potential (ie, premalignant or malignant tumors). The accuracy of proteomics was nearly identical (96.6% vs 98.0%) between the discovery (n = 29) and validation (n = 50) cohorts. Furthermore, mucin profiling predicted malignant transformation, present in 16 out of 29 (discovery cohort: 9, validation cohort: 20) lesions with available histology, with 89.7% accuracy (95% CI = 71.5% to 97.3%) (for the validation cohort only: 95.0%; 95% CI = 73.1% to 99.7%). This markedly exceeded corresponding results for cytology (51.7%; 95% CI = 32.9% to 70.1%; P = .003) and CEA (57.1%; 95% CI = 34.4% to 77.4%; P = .02).

conclusionsProteomic cyst fluid mucin profiling robustly discriminates benign, premalignant, and malignant PCLs. Consequently, it may improve pancreatic cancer prevention and reduce the morbidity burden of unwarranted pancreatic surgery.

Indexed as

Gene Expression ProfilingAdultAgedBiomarkers, TumorCarcinoembryonic AntigenChromatography, LiquidCyst FluidElectrophoresisEndoscopic Ultrasound-Guided Fine Needle AspirationFemaleGene Expression Regulation, NeoplasticHumansMaleMass SpectrometryMiddle AgedMucinsBiomarkers, TumorCarcinoembryonic AntigenMucins

Identifiers

PMID24523528
PMCPMC3952201
OpenAlexW2101953772

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.