Evidence map›Paper›PMID 29675033›Full record

ArticleFrontiers in genetics2018

Identification and Validation of a Diagnostic and Prognostic Multi-Gene Biomarker Panel for Pancreatic Ductal Adenocarcinoma.

Hagen Klett, Hannah Fuellgraf, Ella Levit-Zerdoun, Saskia Hussung, Silke Kowar, Simon Küsters, Peter Bronsert, Martin Werner, Uwe Wittel, Ralph Fritsch and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.0field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 62 citations in OpenAlex.

  1. MLH1 promoter methylation in pancreatic ductal adenocarcinoma: frequent but not prognostic.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  13. Engrailed-1 Promotes Pancreatic Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

12 authors at 5 institutions in 1 country.

Hagen KlettInstitute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany.
Hannah FuellgrafInstitute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany.
Ella Levit-ZerdounInstitute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany.
Saskia HussungComprehensive Cancer Center Freiburg, Freiburg, Germany.
Silke KowarInstitute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany.
Simon KüstersDepartment of Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Peter BronsertGerman Cancer Research Center, Heidelberg, Germany.
Martin WernerGerman Cancer Research Center, Heidelberg, Germany.
Uwe WittelDepartment of Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Ralph FritschGerman Cancer Consortium, Freiburg, Germany.
Hauke BuschInstitute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany.
Melanie BoerriesInstitute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEUniversity Medical Center Freiburg · DEDeutschen Konsortium für Translationale Krebsforschung · DEGerman Cancer Research Center · DEInstitute for Integrative and Experimental Genomics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late diagnosis and systemic dissemination essentially contribute to the invariably poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Therefore, the development of diagnostic biomarkers for PDAC are urgently needed to improve patient stratification and outcome in the clinic. By studying the transcriptomes of independent PDAC patient cohorts of tumor and non-tumor tissues, we identified 81 robustly regulated genes, through a novel, generally applicable meta-analysis. Using consensus clustering on co-expression values revealed four distinct clusters with genes originating from exocrine/endocrine pancreas, stromal and tumor cells. Three clusters were strongly associated with survival of PDAC patients based on TCGA database underlining the prognostic potential of the identified genes. With the added information of impact of survival and the robustness within the meta-analysis, we extracted a 17-gene subset for further validation. We show that it did not only discriminate PDAC from non-tumor tissue and stroma in fresh-frozen as well as formalin-fixed paraffin embedded samples, but also detected pancreatic precursor lesions and singled out pancreatitis samples. Moreover, the classifier discriminated PDAC from other cancers in the TCGA database. In addition, we experimentally validated the classifier in PDAC patients on transcript level using qPCR and exemplify the usage on protein level for three proteins (AHNAK2, LAMC2, TFF1) using immunohistochemistry and for two secreted proteins (TFF1, SERPINB5) using ELISA-based protein detection in blood-plasma. In conclusion, we present a novel robust diagnostic and prognostic gene signature for PDAC with future potential applicability in the clinic.

Indexed as

biomarkerELISAliquid biopsymeta-analysispancreatic precursor lesionsPDACsurvival

Identifiers

PMID29675033
PMCPMC5895731
OpenAlexW2795625832

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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.