Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative transcriptomics-based identification of cryptic drivers of taxol-resistance genes in ovarian carcinoma cells: Analysis of the androgen receptor.

Oncotarget - 29 Sept 2015

Sun Nian-Kang, Huang Shang-Lang, Lu Hsing-Pang, Chang Ting-Chang, Chao Chuck C-K

Abstract excerpt

A systematic analysis of the genes involved in taxol resistance (txr) has never been performed. In the present study, we created txr ovarian carcinoma cell lines to identify the genes involved in chemoresistance. Transcriptome analysis revealed 1,194 overexpressed genes in txr cells. Among the upregulated genes, more than 12 cryptic transcription factors were identified using MetaCore analysis (including AR,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antineoplastic Agents, Phytogenic
Share to Carcinoma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Silencing

Share to Inhibitory Concentration 50

Share to Oligonucleotides

Share to Paclitaxel

Share to Prostatic Neoplasms

Share to Receptors, Androgen

Source

Open in PubMed Open full text

Identifiers

PMID: 26318424
DOI: 10.18632/oncotarget.4824
PMCID: PMC4694974

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative transcriptomics-based identification of cryptic drivers of taxol-resistance genes in ovarian carcinoma cells: Analysis of the androgen receptor.PMID 26318424Read ↗

Transcriptomic profiling of taxol-resistant ovarian cancer cells identifies FKBP5 and the androgen receptor as critical markers of chemotherapeutic responseSemantic proximity Read ↗

Endothelin A Receptor/β-Arrestin Signaling to the Wnt Pathway Renders Ovarian Cancer Cells Resistant to ChemotherapySemantic proximity Read ↗

Multiple Molecular Subtypes of Triple-Negative Breast Cancer Critically Rely on Androgen Receptor and Respond to Enzalutamide <i>In Vivo</i>Semantic proximity Read ↗

An “Omics” Approach to Determine the Mechanisms of Acquired Aromatase Inhibitor ResistanceSemantic proximity Read ↗

Novel LIPA-Targeted Therapy for Treating Ovarian CancerSemantic proximity Read ↗

A data driven approach to identify ZM-447439 as a potential repurposed drug to overcome tamoxifen-resistance in breast cancerSemantic proximity Read ↗

Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell linesSemantic proximity Read ↗

Transformer 2β Regulates the Alternative Splicing of Cell Cycle Regulator Genes to Promote Ovarian Cancer Cell ProgressionSemantic proximity Read ↗

Ai-lncRNA EGOT enhancing autophagy sensitizes paclitaxel cytotoxicity via upregulation of ITPR1 expression by RNA-RNA and RNA-protein interactions in human cancerSemantic proximity Read ↗

Transcriptome analysis of newly established carboplatin-resistant ovarian cancer cell model reveals genes shared by drug resistance and drug-induced EMTSemantic proximity Read ↗

An androgen receptor regulated gene score is associated with epithelial to mesenchymal transition features in triple negative breast cancersSemantic proximity Read ↗

AhR and Cancer: from Gene Profiling to Targeted TherapySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.