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

Construction of an Immune Cell Infiltration Score to Evaluate the Prognosis and Therapeutic Efficacy of Ovarian Cancer Patients

20 Oct 2021

Abstract excerpt

Background: Ovarian cancer (OC) is an immunogenetic disease that contains tumor-infiltrating lymphocytes (TILs), and immunotherapy has become a novel treatment for OC. With the development of next-generation sequencing (NGS), profiles of gene expression and comprehensive landscape of immune cells can be applied to predict clinical outcome and response to immunotherapy. Methods: We obtained data from The Cancer...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34745124
DOI: 10.3389/fimmu.2021.751594

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Construction of an Immune Cell Infiltration Score to Evaluate the Prognosis and Therapeutic Efficacy of Ovarian Cancer PatientsPMID 34745124Read ↗

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

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

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

A Framework to Predict the Molecular Classification and Prognosis of Breast Cancer Patients and Characterize the Landscape of Immune Cell Infiltration.Semantic proximity Read ↗

Association between tumor mutation burden and immune infiltration in ovarian cancer.Semantic proximity Read ↗

Robust prognostic model based on immune infiltration-related genes and clinical information in ovarian cancer.Semantic proximity Read ↗

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

Identification of a gene set correlated with immune status in ovarian cancer by transcriptome-wide data miningSemantic proximity Read ↗

Identification of three subtypes of ovarian cancer and construction of prognostic models based on immune-related genes.Semantic proximity Read ↗

Construction of the Novel Immune Risk Scoring System Related to CD8 + T Cells in Uterine Corpus Endometrial CarcinomaSemantic proximity Read ↗

Construction of immune score and its prognostic value in invasive lobular carcinoma of the breast using computational pathology analysisSemantic proximity Read ↗

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

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