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July 21, 2025

Integrated bioinformatics analysis reveals key candidate genes and signaling pathways, and Macrphylloside D as novel therapeutic agent in ovarian cancer

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Authors

BVBasavaraj VastradSPShivaling PattanashettiCVChanabasayya Vastrad

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Overview

Bioinformatics analysis identifies candidate genes and signaling pathways in ovarian cancer, pointing to macrphylloside D as a novel therapy.

Key Points

  • The study identifies 38 differentially expressed genes associated with ovarian cancer through bioinformatics analysis.
  • Key genes such as COL1A1 and NR3C2 were found to be crucial in ovarian cancer progression, showing high sensitivity.
  • Signaling pathways related to cell adhesion and extracellular matrix organization were significantly impacted by these genes.
  • Macrphylloside D is highlighted as a potential therapeutic agent based on molecular docking and ADMET studies.

Cite This Study

Vastrad et al. (2025) studied this question.

synapsesocial.com/papers/689a060ee6551bb0af8cd23fhttps://doi.org/10.21203/rs.3.rs-7138516/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A promising computational study of ovarian cancer treatment of the isolated compound 5,7-dihydroxy-3( <i>R</i> )-methylphthalide2026
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  3. 3Unravelling driver genes as potential therapeutic targets in ovarian cancer via integrated bioinformatics approach2024 · 2 citations
  4. 4Abstract B013: Integrative gene expression and network analysis reveals key regulatory modules and pathways in ovarian cancer2025
  5. 5Multi-Omics analysis and in vitro validation reveal diagnostic and therapeutic roles of novel hub genes in ovarian cancer2025