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

Establishment and validation of a novel invasion-related gene signature for predicting the prognosis of ovarian cancer

15 Mar 2022

Abstract excerpt

BACKGROUND: Ovarian cancer (OC) is an invasive gynaecologic cancer with a high cancer-related death rate. The purpose of this study was to establish an invasion-related multigene signature to predict the prognostic risk of OC. METHODS: We extracted 97 invasion-related genes from The Cancer Genome Atlas (TCGA) database. Then, the ConsensusClusterPlus and limma packages were used to calculate differentially...

Read the complete abstract on PubMed

Topics

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

Share to Chemokine receptors and signaling
Share to Ferroptosis and cancer prognosis
Share to FOXO transcription factor regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35292033
DOI: 10.1186/s12935-022-02502-4

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

Establishment and validation of a novel invasion-related gene signature for predicting the prognosis of ovarian cancerPMID 35292033Read ↗

Integrated Bioinformatical Analysis for Identification the invasion-related Genes in ovarian cancerSemantic proximity Read ↗

Comprehensive analysis of prognostic gene signatures based on immune infiltration of ovarian cancerSemantic proximity Read ↗

A Risk Model Based on Tumor Microenvironment to Predict Survival and Immunotherapy Efficacy for Ovarian CancerSemantic proximity Read ↗

Identification of potential key genes of TGF-beta signaling associated with the immune response and prognosis of ovarian cancer based on bioinformatics analysisSemantic proximity Read ↗

The function of chemokines and their receptors in the ovarian cancer microenvironment and research on their prognostic significanceSemantic proximity Read ↗

Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognosesSemantic proximity Read ↗

Establishment of a prognostic model based on immune infiltration-related genes and clinical information in ovarian cancerSemantic proximity Read ↗

Identification of a prognostic gene signature based on invasion-related genes in breast cancerSemantic proximity Read ↗

Single-sample gene set enrichment analysis reveals the clinical implications of immune-related genes in ovarian cancerSemantic proximity Read ↗

A Nine-Immune-Related Gene Prognostic Signature for Predicting Outcomes in High-Grade Serous Ovarian CancerSemantic proximity Read ↗

A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancerSemantic proximity Read ↗

A novel six-gene signature for prognosis prediction in ovarian cancerSemantic proximity Read ↗

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