Evidence map›Paper›PMID 41972526›Full record

ArticleBiology2026

Exploring the Prognostic, Mutational and Therapeutic Potential of ANXA2 in Ovarian Cancer via Multi-Omics and In Silico Approach.

Prithvi Singh, Joyeeta Talukdar, Hajed Obaid A Alharbi, Wanian M Alwanian, Indrakant Kumar Singh, Arshad Husain Rahmani

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Article in Biology, 2026. 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

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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.

Prithvi SinghCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India.ORCID 0000-0002-2562-0914
Joyeeta TalukdarDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.
Hajed Obaid A AlharbiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0003-4566-2932
Wanian M AlwanianDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.
Indrakant Kumar SinghDr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi 110007, India.
Arshad Husain RahmaniDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.

Funding

The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support QU-APC-2026
6 · The paper itself

Abstract

backgroundAmong gynecological malignancies, ovarian cancer (OC) remains a leading cause of mortality worldwide, often characterized by the highest fatality-to-case ratio due to its asymptomatic progression and late-stage detection. Despite substantial investigation, the root cause of disease development and pathology remains unknown. Early detection is critical for improving OC prognosis. Unfortunately, because of the lack of identifiable symptoms in the early stages, the disease is frequently detected late. As a result, regular check-ups, being aware of risk factors, and paying attention to unusual symptoms can all help discover OC early. Apolipoproteins (APOs) and Annexins (ANXs) have recently been linked to OC.

aimWe conducted a cutting-edge bioinformatics investigation to find novel therapeutic targets and precise biomarkers linked to OC against APO and ANX.

methodsWe started by compiling the ANX and APO families via HUGO Gene Nomenclature Committee (HGNC) homepage. Next, we accessed GEPIA2 to compare the relative messenger RNA (mRNA) expression levels of all ANX and APO family members across the cancer genome atlas (TCGA)-OC cohort and matched normal and GTEx data. Prognostic analysis of all significantly expressed ANXs and APOs was performed via Kaplan-Meier (KM) plotter. cBioPortal was used for mutational analysis of prognostic ANXs and APOs. Finally, we ran functional enrichment, molecular docking, and molecular dynamics (MD) simulation analyses.

resultsOverall, the results suggest that

conclusionsMolecular docking and MD simulation analyses identified curcumin as a potential inhibitor of ANXA2, demonstrating stable binding affinity and structural conservation throughout the simulation period. These computational findings characterize curcumin as a promising candidate for targeting ANXA2 in OC, warranting further experimental validation to confirm its therapeutic efficacy.

Indexed as

ADMET propertiesAnnexinsApolipoproteinsMD simulationmolecular dockingovarian cancer

Identifiers

PMID41972526
PMCPMC13071996

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