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

High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian Cancer

5 Sept 2023

Abstract excerpt

Cancer-related immunity plays a significant role in the outcome of ovarian cancer, but the exact mechanisms are not fully explored. A retrospective, real-life observational study was conducted including 57 advanced ovarian cancer patients. Immunohistochemistry for CD4+, CD8+, and CD45+ was used for assessing tumor-infiltrating immune cells. Furthermore, an immune-related gene expression assay was performed on...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Lipids, and Metabolism
Share to Inflammatory Biomarkers in Disease Prognosis
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37761986
DOI: 10.3390/ijms241813684

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

High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian CancerPMID 37761986Read ↗

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

Integrated immuno-transcriptomic analysis of ovarian cancer identifies a four-chemokine-dominated subtype with antitumor immune-active phenotype and favorable prognosis.Semantic proximity Read ↗

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

New insights into tumor immunity revealed by the unique genetic and genomic aspects of ovarian cancer.Semantic proximity Read ↗

Shaping Immune Responses in the Tumor Microenvironment of Ovarian CancerSemantic proximity Read ↗

Integrative Multi-Omics and Machine Learning Approach Reveals Tumor Microenvironment-Associated Prognostic Biomarkers in Ovarian CancerSemantic proximity Read ↗

Classification of ovarian cancer associated with BRCA1 mutations, immune checkpoints, and tumor microenvironment based on immunogenomic profilingSemantic proximity Read ↗

Immunogenomic Analyses of Advanced Serous Ovarian Cancer Reveal Immune Score is a Strong Prognostic Factor and an Indicator of Chemosensitivity.Semantic proximity Read ↗

Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancerSemantic proximity Read ↗

Prognostic signature of ovarian cancer based on 14 tumor microenvironment genesSemantic proximity Read ↗

Classification and Clinical Value of Three Immune Subtypes of Ovarian Cancer Based on Transcriptome DataSemantic proximity Read ↗

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

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