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

Molecular Characterization of Non-responders to Chemotherapy in Serous Ovarian Cancer.

International journal of molecular sciences - 7 Mar 2019

McDonald Megan E, Salinas Erin A, Devor Eric J, Newtson Andreea M, Thiel Kristina W, Goodheart Michael J, Bender David P, Smith Brian J, Leslie Kimberly K, Gonzalez-Bosquet Jesus

Abstract excerpt

Nearly one-third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial treatment with platinum-based therapy. Genomic and clinical characterization of these patients may lead to potential alternative therapies. Here, the objective is to classify non-responders into subsets using clinical and molecular features. Using patients from The Cancer Genome Atlas (TCGA) dataset with...

Read the complete abstract on PubMed

Topics

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

Share to Cystadenocarcinoma, Serous
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Dosage

Share to Gene Regulatory Networks

Share to Neoplasm Staging

Share to Ovarian Neoplasms

Share to Platinum

Share to Unsupervised Machine Learning

Source

Open in PubMed Open full text

Identifiers

PMID: 30866519
DOI: 10.3390/ijms20051175
PMCID: PMC6429334

Genes

TP53
MUC17

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

Molecular Characterization of Non-responders to Chemotherapy in Serous Ovarian Cancer.PMID 30866519Read ↗

Analysis of Chemotherapeutic Response in Ovarian Cancers Using Publicly Available High-Throughput DataSemantic proximity Read ↗

Integrating Genomic, Epigenomic, and Transcriptomic Features Reveals Modular Signatures Underlying Poor Prognosis in Ovarian CancerSemantic proximity Read ↗

The Changing View of High-Grade Serous Ovarian CancerSemantic proximity Read ↗

Identification of Chemoresistance-Associated Key Genes and Pathways in High-Grade Serous Ovarian Cancer by Bioinformatics AnalysesSemantic proximity Read ↗

Abnormal methylation characteristics predict chemoresistance and poor prognosis in advanced high-grade serous ovarian cancerSemantic proximity Read ↗

Neoadjuvant Chemotherapy Modulates the Tumor Microenvironment in High-Grade Serous Ovarian CancerSemantic proximity Read ↗

Network vulnerability‐based and knowledge‐guided identification of microRNA biomarkers indicating platinum resistance in high‐grade serous ovarian cancerSemantic proximity Read ↗

Gene networks and expression quantitative trait loci associated with platinum-based chemotherapy response in high-grade serous ovarian cancerSemantic proximity Read ↗

Prognostically relevant gene signatures of high-grade serous ovarian carcinoma.Semantic proximity Read ↗

Novel regulatory and transcriptional networks associated with resistance to platinum-based chemotherapy in ovarian cancerSemantic proximity Read ↗

Comprehensive Genomic Characterization in Ovarian Low-Grade and Chemosensitive and Chemoresistant High-Grade Serous Carcinomas.Semantic proximity Read ↗

Characterizing tumor biology and immune microenvironment in high-grade serous ovarian cancer via single-cell RNA sequencing: insights for targeted and personalized immunotherapy strategiesSemantic proximity Read ↗

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