Evidence map›Paper›PMID 42445957›Full record

ArticleCancer biomarkers : section A of Disease markers

Gene expression profiling of ovarian cancer reveals candidate diagnostic and prognostic biomarkers: An integrated bioinformatics approach.

Michael Woode, Mark Akuamoah Appah, Emmanuel Kpalakuso Alhassan, Timothy Makwo, Du-Bois Asante, Daniel Sakyi Agyirifo

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Article in Cancer biomarkers : section A of Disease markers. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Michael WoodeDepartment of Molecular Biology & Biotechnology, University of Cape Coast, Cape Coast, Ghana.ORCID 0009-0009-4354-700X
Mark Akuamoah AppahDepartment of Molecular Biology & Biotechnology, University of Cape Coast, Cape Coast, Ghana.ORCID 0009-0005-9959-7971
Emmanuel Kpalakuso AlhassanDepartment of Molecular Biology & Biotechnology, University of Cape Coast, Cape Coast, Ghana.
Timothy MakwoDepartment of Molecular Biology & Biotechnology, University of Cape Coast, Cape Coast, Ghana.
Du-Bois AsanteDepartment of Biomedical Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-5207-5942
Daniel Sakyi AgyirifoDepartment of Molecular Biology & Biotechnology, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundOvarian cancer remains one of the most lethal gynecological malignancies, largely due to delayed diagnosis and limited effectiveness of current biomarkers. Identifying candidate biomarkers through integrated gene expression analysis may enhance understanding of OC biology and support future diagnostic and prognostic investigations.MethodsFour microarray datasets were retrieved from the Gene Expression Omnibus and analyzed using the limma package in R to identify differentially expressed genes (DEGs) through a bidirectional filter (|log

Indexed as

Biomarkers, TumorComputational BiologyGene Expression ProfilingOvarian NeoplasmsFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisProtein Interaction MapsBiomarkers, Tumorbioinformaticsbiomarkersdiagnosisgene expression profilingovarian cancerprognosis

Identifiers

PMID42445957
PMCPMC13369421

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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.