Evidence map›Paper›PMID 32310997›Full record

ArticlePloS one2020

A novel 20-gene prognostic score in pancreatic adenocarcinoma.

Seçil Demirkol Canlı, Ege Dedeoğlu, Muhammad Waqas Akbar, Barış Küçükkaraduman, Murat İşbilen, Özge Şükrüoğlu Erdoğan, Seda Kılıç Erciyas, Hülya Yazıcı, Burçak Vural, Ali Osmay Güre

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Targeting Cancer: Microenvironment and Immunotherapy Innovations.International journal of molecular sciences · 2024
    Review
  3. Co‑expression ofOncology letters · 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

10 authors at 3 institutions in 1 country.

Seçil Demirkol CanlıMolecular Pathology Application and Research Center, Hacettepe University, Ankara, Turkey.ORCID 0000-0003-0200-7962
Ege DedeoğluDepartment of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
Muhammad Waqas AkbarDepartment of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
Barış KüçükkaradumanDepartment of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
Murat İşbilenDepartment of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
Özge Şükrüoğlu ErdoğanCancer Genetics Division, Department of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Seda Kılıç ErciyasCancer Genetics Division, Department of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.ORCID 0000-0003-4417-4005
Hülya YazıcıCancer Genetics Division, Department of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Burçak VuralDepartment of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
Ali Osmay GüreDepartment of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
Bilkent University · TRIstanbul University · TRHacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal cancers. Known risk factors for this disease are currently insufficient in predicting mortality. In order to better prognosticate patients with PDAC, we identified 20 genes by utilizing publically available high-throughput transcriptomic data from GEO, TCGA and ICGC which are associated with overall survival and event-free survival. A score generated based on the expression matrix of these genes was validated in two independent cohorts. We find that this "Pancreatic cancer prognostic score 20 -PPS20" is independent of the confounding factors in multivariate analyses, is dramatically elevated in metastatic tissue compared to primary tumor, and is higher in primary tumors compared to normal pancreatic tissue. Transcriptomic analyses show that tumors with low PPS20 have overall more immune cell infiltration and a higher CD8 T cell/Treg ratio when compared to those with high PPS20. Analyses of proteomic data from TCGA PAAD indicated higher levels of Cyclin B1, RAD51, EGFR and a lower E-cadherin/Fibronectin ratio in tumors with high PPS20. The PPS20 score defines not only prognostic and biological sub-groups but can predict response to targeted therapy as well. Overall, PPS20 is a stronger and more robust transcriptomic signature when compared to similar, previously published gene lists.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCarcinoma, Pancreatic DuctalHumansMolecular Targeted TherapyPancreatic NeoplasmsPrognosisSurvival Analysis

Identifiers

PMID32310997
PMCPMC7170253
OpenAlexW3016608062

What OpenQuestion holds

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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.