ArticleBioMed research international2020
Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- The immune-related prognostic gene AIM2 promotes pancreatic cancer progression via inflammasome.Scientific reports · 2025Article
- Clinical Characteristics and Survival Outcomes of Metastatic Invasive Lobular and Ductal Carcinoma.JAMA network open · 2025Article
- Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.Frontiers in immunology · 2025Article
- Article
- GSDMD is a novel predictive biomarker for immunotherapy response: in the pan-cancer and single cell landscapes.Frontiers in immunology · 2025Article
- Construction of an oxidative stress-associated genes signature in breast cancer by machine learning algorithms.The Journal of international medical research · 2024Article
- Identification of three master regulatory genes with prognostic value for uveal melanoma by means of weighted co-expression network analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023Article
- Establishment and validation of a novel integrin-based prognostic gene signature that sub-classifies gliomas and effectively predicts immunosuppressive microenvironment.Cell cycle (Georgetown, Tex.) · 2023Article
- Identification of a five-gene signature deriving from the vacuolar ATPase (V-ATPase) sub-classifies gliomas and decides prognoses and immune microenvironment alterations.Cell cycle (Georgetown, Tex.) · 2022Article
- Pan-Cancer Integrated Analysis Identification of SASH3, a Potential Biomarker That Inhibits Lung Adenocarcinoma Progression.Frontiers in oncology · 2022Article
- Identification and verification of immune-related gene prognostic signature based on ssGSEA for breast cancer.Central-European journal of immunology · 2022Article
- Drug Repositioning and Subgroup Discovery for Precision Medicine Implementation in Triple Negative Breast Cancer.Cancers · 2021Article
- LRMP Associates With Immune Infiltrates and Acts as a Prognostic Biomarker in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer (BC) is the most common malignant tumor in women. The immunophenotype of tumor microenvironment (TME) has shown great therapeutic potential in tumor.
methodThe transcriptome was obtained from TCGA and GEO data. Immune infiltration was analyzed by single-sample gene set enrichment (ssGSEA). The immune feature was constructed by Cox regression analysis. In addition, the coexpression of differential expression genes (DEGs) was identified. Through enrichment analysis, the function and pathway of module genes were identified. The somatic mutations related to immune characteristics were analyzed by Maftools. By using the consistency clustering algorithm, the molecular subtypes were constructed, and the overall survival time (OS) was predicted.
resultsImmune landscape can be divided into low immune infiltration and high immune infiltration. Cox regression analysis identified seven immune cells as protective factors of BC. In the coexpression modules for DEGs of high and low immune infiltration, module 1 was related to T cells and high immune infiltration. In particular, the area under the curve (AUC) value of hub gene SASH3 was the highest, and the correlation with T cells was stronger in the high immune infiltration. Enrichment analysis found that oxidative stress, T cell aggregation, and apoptosis were observed in high immune infiltration. In addition, TP53 was identified as the most important somatic gene mutation related to immune characteristics. Importantly, we also constructed seven immune cell-based breast cancer subtypes to predict OS.
conclusionWe evaluated the immune landscape of BC and constructed the gene characteristics related to the immune landscape. The potential of T cells and SASH3 in immunotherapy of BC was revealed, which may guide the development of new clinical treatment strategies.
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