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

Development and clinical validation of a seven-gene signature based on tumor stem cell-related genes to predict ovarian cancer prognosis

13 Mar 2024

Abstract excerpt

OBJECTIVE: Tumors are highly heterogeneous, and within their parenchyma, a small population of tumor-stem cells possessing differentiation potential, high oncogenicity, and self-renewal capabilities exists. These cells are pivotal in mediating tumor development, chemotherapy resistance, and recurrence. Ovarian cancer shares characteristics with tumor stem cells, making it imperative to investigate molecular...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Ferroptosis and cancer prognosis
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38481252
DOI: 10.1186/s13048-023-01326-8

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

Development and clinical validation of a seven-gene signature based on tumor stem cell-related genes to predict ovarian cancer prognosisPMID 38481252Read ↗

A stemness-based eleven-gene signature correlates with the clinical outcome of hepatocellular carcinomaSemantic proximity Read ↗

Integrated analysis of single-cell RNA-seq and bulk RNA-seq unveils heterogeneity and establishes a novel signature for prognosis and tumor immune microenvironment in ovarian cancerSemantic proximity Read ↗

Identification of Prognosis Biomarkers for High-Grade Serous Ovarian Cancer Based on StemnessSemantic proximity Read ↗

Assessing the prognostic value of stemness-related genes in breast cancer patients.Semantic proximity Read ↗

Development of a novel transcription factors-related prognostic signature for serous ovarian cancerSemantic proximity Read ↗

The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancerSemantic proximity Read ↗

Identification of stemness-related LncRNA signature for predicting the prognosis and therapy response in colorectal cancerSemantic proximity Read ↗

The molecular prognostic score , a classifier for risk stratification of high-grade serous ovarian cancerSemantic proximity Read ↗

Development and Validation of a Unique Gignature of Cancer Stemness-related Genes for Predicting the Overall survival of Colorectal Cancer PatientsSemantic proximity Read ↗

Transcriptional information underlying the generation of CSCs and the construction of a nine-mRNA signature to improve prognosis prediction in colorectal cancerSemantic proximity Read ↗

Identification and validation of a 9-gene signature for the prognosis of ovarian cancer by integrated bioinformatical analysisSemantic proximity Read ↗

Prognostic gene expression signature for high-grade serous ovarian cancerSemantic proximity Read ↗

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