Evidence map›Paper›PMID 33800786›Full record

SynthesisInternational journal of molecular sciences2021

Clinical Perspective on Proteomic and Glycomic Biomarkers for Diagnosis, Prognosis, and Prediction of Pancreatic Cancer.

Randa G Hanna-Sawires, Jorinde H Schiphuis, Manfred Wuhrer, Hans F A Vasen, Monique E van Leerdam, Bert A Bonsing, Wilma E Mesker, Yuri E M van der Burgt, Rob A E M Tollenaar

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Machine learning and microbiome analysis for early detection of pancreatic cancer.Gastroenterology and hepatology from bed to bench · 2025
    Article
  4. Review
  5. Review
  6. SerumBiomolecules · 2023
    Article
  7. Review
  8. Article
  9. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. 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

9 authors at 1 institution in 1 country.

Randa G Hanna-SawiresDepartment of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Jorinde H SchiphuisDepartment of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Manfred WuhrerCenter of Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-0814-4995
Hans F A VasenDepartment of Gastroenterology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Monique E van LeerdamDepartment of Gastroenterology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Bert A BonsingDepartment of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0003-4513-5737
Wilma E MeskerDepartment of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Yuri E M van der BurgtCenter of Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Rob A E M TollenaarDepartment of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Leiden University Medical Center · NL

Funding

ZonMw 50-53125-98-031
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is known as a highly aggressive malignant disease. Prognosis for patients is notoriously poor, despite improvements in surgical techniques and new (neo)adjuvant chemotherapy regimens. Early detection of PDAC may increase the overall survival. It is furthermore foreseen that precision medicine will provide improved prognostic stratification and prediction of therapeutic response. In this review, omics-based discovery efforts are presented that aim for novel diagnostic and prognostic biomarkers of PDAC. For this purpose, we systematically evaluated the literature published between 1999 and 2020 with a focus on protein- and protein-glycosylation biomarkers in pancreatic cancer patients. Besides genomic and transcriptomic approaches, mass spectrometry (MS)-based proteomics and glycomics of blood- and tissue-derived samples from PDAC patients have yielded new candidates with biomarker potential. However, for reasons discussed in this review, the validation and clinical translation of these candidate markers has not been successful. Consequently, there has been a change of mindset from initial efforts to identify new unimarkers into the current hypothesis that a combination of biomarkers better suits a diagnostic or prognostic panel. With continuing development of current research methods and available techniques combined with careful study designs, new biomarkers could contribute to improved detection, prognosis, and prediction of pancreatic cancer.

Indexed as

Biomarkers, TumorBody FluidsCarcinoma, Pancreatic DuctalClinical Decision-MakingDiagnosis, DifferentialEarly Detection of CancerGlycomicsGlycoproteinsHumansMass SpectrometryNeoplasm ProteinsNeoplastic Syndromes, HereditaryPancreatic NeoplasmsPancreatitis, ChronicPrecancerous ConditionsPrecision MedicineBiomarkers, TumorGlycoproteinsNeoplasm ProteinsbiomarkerCA 19-9early detectionglycomicsglycosylationmass spectrometrypancreatic cancerpredictionprognosisproteomics

Identifiers

PMID33800786
PMCPMC7961509
OpenAlexW3135547824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.