Evidence map›Paper›PMID 37174947›Full record

ArticleDiagnostics (Basel, Switzerland)2023

A Novel Two-Gene Expression-Based Prognostic Score in Malignant Pleural Mesothelioma.

Velizar Shivarov, Georgi Blazhev, Angel Yordanov

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Velizar ShivarovDepartment of Experimental Research, Medical University Pleven, 5800 Pleven, Bulgaria.ORCID 0000-0001-5362-7999
Georgi BlazhevDepartment of Genetics, Faculty of Biology, St. Kliment Ohridski Sofia University, 1164 Sofia, Bulgaria.ORCID 0000-0001-5358-5207
Angel YordanovDepartment of Gynaecological Oncology, Medical University Pleven, 5800 Pleven, Bulgaria.ORCID 0000-0002-7719-382X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant pleural mesothelioma (MPM) is a rare cancer type with an increasing incidence worldwide. We aimed to develop a rational gene expression-based prognostic score in MPM using publicly available datasets.

methodsWe developed and validated a two-gene prognostic score (2-PS) using three independent publicly available gene expression datasets. The 2-PS was built using the Robust Likelihood-Based Survival Modeling with Microarray Data method.

resultsWe narrowed down the model building to the analysis of 179 genes, which have been shown previously to be of importance to MPM development. Our statistical approach showed that a model including two genes (GOLT1B and MAD2L1) was the best predictor for overall survival (OS) (

conclusionThis is the first study to demonstrate good performance of only two-gene expression-based prognostic scores in MPM. Our initial approach for features selection allowed for an increased likelihood for the predictive value of the developed score, which we were also able to demonstrate.

Indexed as

gene expressionmesotheliomapredictionprognosisscore

Identifiers

PMID37174947
PMCPMC10177801

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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.