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 bioinformatic analyses of an oncogenomic profile reveal the biology of endometrial cancer and guide drug discovery.

Oncotarget - 2 Feb 2016

Wong Henry Sung-Ching, Juan Yung-Shun, Wu Mei-Shin, Zhang Yan-Feng, Hsu Yu-Wen, Chen Huang-Hui, Liu Wei-Min, Chang Wei-Chiao

Abstract excerpt

A major challenge in personalized cancer medicine is to establish a systematic approach to translate huge oncogenomic datasets to clinical situations and facilitate drug discovery for cancers such as endometrial carcinoma. We performed a genome-wide somatic mutation-expression association study in a total of 219 endometrial cancer patients from TCGA database, by evaluating the correlation between ~5,800 somatic...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Tumor
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Factual

Share to Drug Discovery

Share to Drug Repositioning

Share to Endometrial Neoplasms

Share to Genomics

Share to Precision Medicine

Source

Open in PubMed Open full text

Identifiers

PMID: 26716509
DOI: 10.18632/oncotarget.6716
PMCID: PMC4868730

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative bioinformatic analyses of an oncogenomic profile reveal the biology of endometrial cancer and guide drug discovery.PMID 26716509Read ↗

The mutational landscape of endometrial cancer.Semantic proximity Read ↗

Next-Generation Sequencing.Semantic proximity Read ↗

Genomic landscape of endometrial, ovarian and cervical cancers in Japan from database in the Center for Cancer Genomics and Advanced TherapeuticsSemantic proximity Read ↗

Genetic variation perspective reveals potential drug targets for subtypes of endometrial cancerSemantic proximity Read ↗

Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer.Semantic proximity Read ↗

Significance of TP53 Mutational Status-Associated Signature in the Progression and Prognosis of Endometrial CarcinomaSemantic proximity Read ↗

Analysis of tumor mutation burden combined with immune infiltrates in endometrial cancerSemantic proximity Read ↗

Genomic Landscape of Endometrial, Ovarian, and Cervical Cancers in Japan from the Database in the Center for Cancer Genomics and Advanced TherapeuticsSemantic proximity Read ↗

A multiomics comparison between endometrial cancer and serous ovarian cancerSemantic proximity Read ↗

From Genes to Clinical Practice: Exploring the Genomic Underpinnings of Endometrial CancerSemantic proximity Read ↗

Genomic Comparison of Endometrioid Endometrial Carcinoma and Its Precancerous Lesions in Chinese Patients by High-Depth Next Generation SequencingSemantic proximity Read ↗

Whole-exome sequencing combined with functional genomics reveals novel candidate driver cancer genes in endometrial cancer.Semantic proximity Read ↗

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