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

Integrated analysis of the M2 macrophage-related signature associated with prognosis in ovarian cancer

26 Aug 2022

Abstract excerpt

Background M2 macrophages play an important role in cancer development. However, the underlying biological fator affecting M2 macrophages infiltration in ovarian cancer (OV) has not been elucidated. Methods R software v 4.0.0 was used for all the analysis. The expression profile and clinical information of OV patients enrolled in this study were all downloaded from The Cancer Genome Atlas and Gene Expression...

Topics

Join the communities discussing this publication.

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

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 36091124
DOI: 10.3389/fonc.2022.986885

Provenance

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

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated analysis of the M2 macrophage-related signature associated with prognosis in ovarian cancerPMID 36091124Read ↗

Integrated Analysis of Tumor‑Associated Macrophage Infiltration and Prognosis in Ovarian CancerSemantic proximity Read ↗

Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing dataSemantic proximity Read ↗

Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian CancerSemantic proximity Read ↗

Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic valueSemantic proximity Read ↗

Identification of macrophage-related molecular subgroups and risk signature in colorectal cancer based on a bioinformatics analysisSemantic proximity Read ↗

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

Screening of Prognostic Molecular Markers and Establishment of Prognostic Model for G-protein Coupled Receptor-Related Genes in Epithelial Ovarian Serous Cancer Based on Machine Learning MethodSemantic proximity Read ↗

Single-cell analysis revealed that IL4I1 promoted ovarian cancer progressionSemantic proximity Read ↗

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

Integrated transcriptome and single-cell sequencing reveals M2-like tumor-associated macrophages-related prognostic signatures in breast cancerSemantic proximity Read ↗

Comprehensive multi-omics analysis identifies an immune related predicting model in early stage breast cancerSemantic proximity Read ↗

Macrophages Phenotype Regulated by IL-6 Are Associated with the Prognosis of Platinum-Resistant Serous Ovarian Cancer: Integrated Analysis of Clinical Trial and OmicsSemantic proximity Read ↗

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