Skip to content

Integrative transcriptomic and network analysis elucidates the multi-target molecular mechanisms of carboplatin in melanoma

Oct 2026 · Medical Oncology · Vol 43 · 0 citations · 54 references
Medicine

TL;DR

Overall, this study identifies key molecular determinants of melanoma progression and provides mechanistic evidence explaining carboplatin’s therapeutic activity through modulation of dysregulated transcriptomic hubs and offers a valuable strategy for biomarker discovery and mechanistic evaluation of clinically used agents in melanoma research.

View source

Similar papers

Review Open access Sep 2026

DIFFERENTIAL GENE EXPRESSION IN GLIOBLASTOMA MULTIFORME: A SYSTEMATIC REVIEW

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor in adults, characterized by rapid progression and high resistance to conventional therapies. Recent studies on differential gene expression have contributed to a deeper understanding of the molecular mechanisms underlying its pathogenes...

Luciana Dai Pra Penteado, J. Marcon, Scheila de Avila e Silva · 0 citations
Open access Aug 2026

Molecular Pathways and Gene Analysis in Melanoma: A Comprehensive Study

A comprehensive molecular profile of melanomaassociated genes is provided, identifying critical pathways that could serve as potential therapeutic targets and associations with specific metabolites and drug responses offer new avenues for personalized medicine approaches in melanoma treatment.

J. Brahmaiah, U. Adiga, Vijay Kumar et al. · 0 citations
Open access Sep 2026

Functional network analysis of Hodgkin Lymphoma identifies critical regulatory nodes in cancer-associated pathway

Hodgkin Lymphoma (HL) is a haematological malignancy characterized by the abnormal proliferation of malignant B lymphocytes within an inflammatory microenvironment. Despite advances in therapeutic strategies, a subset of patients continues to experience relapse or treatment resistance, highlighting the need for improve...

S. Ankitha, Nitya Krishnasamy, S. Selvam et al. · 0 citations
2026

Identification of key genes and pathways involved in trastuzumab resistance in HER2-positive gastric cancer through integrative bioinformatics analysis

This study provides a hypothesis-generating framework for future biomarker-guided combination strategies, which requires validation in HER2-positive cohorts and experimental models.

Feng Wang, N. Mottaghi-Dastjerdi, Fatma Altameemi et al. · 0 citations
Open access Sep 2026

Network-guided identification and multi-targeting of cell cycle regulatory hubs in obesity-linked colorectal cancer

Purpose: Obesity-associated colorectal cancer (CRC) involves complex molecular networks that limit the effectiveness of single-target therapies. This study aimed to develop an integrative computational pipeline for identifying key regulatory hubs and designing a multi-target-directed ligand (MTDL) capable of simultaneo...

Merve Uça Apaydın, Huseyin Guner, Resat Unal et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.