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

Metabolic-Related Gene Prognostic Index for Predicting Prognosis, Immunotherapy Response, and Candidate Drugs in Ovarian Cancer.

Journal of chemical information and modeling - 12 Feb 2024

Guo Shuang, Liu Yuwei, Sun Yue, Zhou Hanxiao, Gao Yue, Wang Peng, Zhi Hui, Zhang Yakun, Gan Jing, Ning Shangwei

Abstract excerpt

Ovarian cancer (OC) is a highly heterogeneous disease, with patients at different tumor staging having different survival times. Metabolic reprogramming is one of the key hallmarks of cancer; however, the significance of metabolism-related genes in the prognosis and therapy outcomes of OC is unclear. In this study, we used weighted gene coexpression network analysis and differential expression analysis to screen...

Read the complete abstract on PubMed

Topics

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

Share to Immunotherapy
Share to Mutation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Ovarian Neoplasms

Share to Prognosis

Source

Identifiers

PMID: 38238993
DOI: 10.1021/acs.jcim.3c01473

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Metabolic-Related Gene Prognostic Index for Predicting Prognosis, Immunotherapy Response, and Candidate Drugs in Ovarian Cancer.PMID 38238993Read ↗

Identification and validation of a prognostic index based on a metabolic-genomic landscape analysis of ovarian cancerSemantic proximity Read ↗

Exploration of a Metabolism-Related Gene Signature Predicting Prognosis for Ovarian CancerSemantic proximity Read ↗

Comprehensive analysis of metabolic reprogramming-related gene signaturesmetabolic reprogramming related gene signature for predicting ovarian cancer prognosis, immune landscape, and potential treatment optionsSemantic proximity Read ↗

A Metabolism-Related Gene Prognostic Index for Prediction of Response to Immunotherapy in Lung AdenocarcinomaSemantic proximity Read ↗

Identification of metabolism-associated molecular subtype in ovarian cancer.Semantic proximity Read ↗

Development of molecular subtype and prognostic model related to metabolism-related genes in high-grade serous ovarian cancer: A study based on ten cohortsSemantic proximity Read ↗

A novel five-gene metabolism-related risk signature for predicting prognosis and immune infiltration in endometrial cancer: A TCGA data miningSemantic proximity Read ↗

Identification of a metabolism-related gene expression prognostic model in endometrial carcinoma patientsSemantic proximity Read ↗

Landscape of Metabolite-Protein Interaction Networks Reveals Prognostic Subtypes of Ovarian CancerSemantic proximity Read ↗

A metabolism-related gene-based prognostic and immunotherapy model for hepatocellular carcinomaSemantic proximity Read ↗

To develop a prognostic marker related to nicotinamide metabolism in ovarian cancer based on multiple machine learningSemantic proximity Read ↗

A Novel Nomogram Based on Lipid Metabolism-related Risk Gene Expression Can Better Predict Overall Survival for Hepatocellular CarcinomaSemantic proximity Read ↗

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