ArticleInternational journal of molecular sciences2022
Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 42 citations in OpenAlex.
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- LncRNA PVT1 drives macrophage polarization and triple-negative breast cancer progression via PPARγ-mediated transcriptional activation.Apoptosis : an international journal on programmed cell death · 2026Article
- The chromosomal instability associated gene C2orf76 exerts dual roles in colorectal cancer through pyroptosis and chemotherapy response.Frontiers in oncology · 2026Article
- CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics data.Nature protocols · 2025Review
- Bioinformatic Approach to Identify Positive PrognosticInternational journal of molecular sciences · 2025Article
- Differential expression of glycolysis-related genes and their potential immune mechanisms in acute myocardial infarction.Journal of cardiothoracic surgery · 2025Article
- Spatial gene expression at single-cell resolution from histology using deep learning with GHIST.Nature methods · 2025Article
- Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.Scientific reports · 2025Article
- PWRN1 low expression facilitates cancer progression and is an unfavorable prognosis factor in breast cancer.Discover oncology · 2025Article
- Targeted nanoparticle delivery system for tumor-associated macrophage reprogramming to enhance TNBC therapy.Cell biology and toxicology · 2025Article
- Tumor Regulatory Effect of 15-Hydroxyprostaglandin Dehydrogenase (HPGD) in Triple-Negative Breast Cancer.International journal of molecular sciences · 2025Article
- Unveiling Novel miRNA-mRNA Interactions and Their Prognostic Roles in Triple-Negative Breast Cancer: Insights into miR-210, miR-183, miR-21, and miR-181b.International journal of molecular sciences · 2025Article
- Benchmarking the translational potential of spatial gene expression prediction from histology.Nature communications · 2025Article
- Immune gene features and prognosis in colorectal cancer: insights from ssGSEA typing.Discover oncology · 2025Article
- Mathematical models of intercellular signaling in breast cancer.Seminars in cancer biology · 2025Review
- Expression, prognosis and preliminary investigation of the mechanism of action of ACTR6, a member of the ARPs gene family, in hepatocellular carcinoma.Frontiers in medicine · 2025Article
- Exploring the role of alternative lengthening of telomere-related genes in diagnostic modeling for non-alcoholic fatty liver disease.Scientific reports · 2024Article
- DriverDBv4: a multi-omics integration database for cancer driver gene research.Nucleic acids research · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBreast cancer (BC) is the most common malignancy in women with high heterogeneity. The heterogeneity of cancer cells from different BC subtypes has not been thoroughly characterized and there is still no valid biomarker for predicting the prognosis of BC patients in clinical practice.
methodsCancer cells were identified by calculating single cell copy number variation using the inferCNV algorithm. SCENIC was utilized to infer gene regulatory networks. CellPhoneDB software was used to analyze the intercellular communications in different cell types. Survival analysis, univariate Cox, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox analysis were used to construct subtype specific prognostic models.
resultsTriple-negative breast cancer (TNBC) has a higher proportion of cancer cells than subtypes of HER2+ BC and luminal BC, and the specifically upregulated genes of the TNBC subtype are associated with antioxidant and chemical stress resistance. Key transcription factors (TFs) of tumor cells for three subtypes varied, and most of the TF-target genes are specifically upregulated in corresponding BC subtypes. The intercellular communications mediated by different receptor-ligand pairs lead to an inflammatory response with different degrees in the three BC subtypes. We establish a prognostic model containing 10 genes (risk genes:
conclusionsComparative analysis of the three BC subtypes based on cancer cell heterogeneity in this study will be of great clinical significance for the diagnosis, prognosis and targeted therapy for BC patients.
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