Article

Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast Cancer

2023-05-23

Abstract excerpt

Breast cancers exhibit substantial transcriptional heterogeneity, posing a significant challenge to the prediction of treatment response and prognostication of outcomes. Especially, translation of TNBC subtypes to the clinic remains a work in progress, in part because of a lack of clear transcriptional signatures distinguishing the subtypes. Our recent network-based approach, PathExt, demonstrates that global tran...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c66f8e81-cdd6-503e-a142-860770891e2b
DOI: 10.1101/2023.05.21.541618

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast CancerDOI 10.1101/2023.05.21.541618Read

Deciphering the gene regulatory circuitry governing chemoresistance in Triple-Negative Breast CancerSemantic proximity Read

Secondary Transcriptomic Analysis of Triple Negative Breast Cancer Reveals Reliable Universal and Subtype-Specific BiomarkersSemantic proximity Read

Systematic Meta-Analysis of Published Transcriptomic Prognostic Signatures and Development of a Robust Multi-Cohort Prognostic Classifier for Triple-Negative Breast CancerSemantic proximity Read

Genomic Characteristics of Triple-Negative Breast Cancer Nominate Molecular Subtypes That Predict Chemotherapy ResponseSemantic proximity Read

A Four-gene Decision Tree Signature Classification of Triple-negative Breast Cancer: Implications for Targeted TherapeuticsSemantic proximity Read

Decoding molecular signatures and identifying therapeutic targets in triple-negative breast cancer subtypes using omics and network analysis.Semantic proximity Read

Mutated Pathways as a Guide to Adjuvant Therapy Treatments for Breast Cancer.Semantic proximity Read

Signaling network assessment of mutations and copy number variations predict breast cancer subtype-specific drug targets.Semantic proximity Read

Retrospective multi-cohort validation of a real-world transcriptomics-guided machine learning model for treatment response prediction in breast cancerSemantic proximity Read

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patientsSemantic proximity Read

An integration of complementary strategies for gene-expression analysis to reveal novel therapeutic opportunities for breast cancer.Semantic proximity Read

Decoding gene regulatory circuitry underlying TNBC chemoresistance reveals biomarkers for therapy response and therapeutic targetsSemantic proximity Read