ArticleBreast cancer research : BCR2015
Prognostic stromal gene signatures in breast cancer.
Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.
- Genome-wide association study of germline variants and breast cancer-specific mortality.British journal of cancer · 2019Pooled it
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- Exploration of crucial stromal risk genes associated with prognostic significance and chemotherapeutic opportunities in invasive ductal breast carcinoma.Journal, genetic engineering & biotechnology · 2025Article
- Breast pericytes: a newly identified driver of tumor cell proliferation.Frontiers in oncology · 2024Article
- Expression-Based Diagnosis, Treatment Selection, and Drug Development for Breast Cancer.International journal of molecular sciences · 2023Article
- Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing.Cancer cytopathology · 2023Article
- Identification of key tumor stroma-associated transcriptional signatures correlated with survival prognosis and tumor progression in breast cancer.Breast cancer (Tokyo, Japan) · 2022Article
- Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes.Nature communications · 2021Article
- Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data.Nucleic acids research · 2021Article
- Meta-Analysis of Microdissected Breast Tumors Reveals Genes Regulated in the Stroma but Hidden in Bulk Analysis.Cancers · 2021Article
- Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.PLoS computational biology · 2021Article
- The clinical and molecular significance associated with STING signaling in breast cancer.NPJ breast cancer · 2021Article
- Theranostic Advances in Breast Cancer in Nuclear Medicine.International journal of molecular sciences · 2021Review
- Clear cell renal cell carcinoma ontogeny and mechanisms of lethality.Nature reviews. Nephrology · 2021Review
- Elastosis in ERα-positive male breast cancer.Virchows Archiv : an international journal of pathology · 2021Article
- Identification of Prognostic Related Genes of Tumor Microenvironment Derived From Esophageal Cancer Patients.Pathology oncology research : POR · 2021Article
- Roles of the Immune/Methylation/Autophagy Landscape on Single-Cell Genotypes and Stroke Risk in Breast Cancer Microenvironment.Oxidative medicine and cellular longevity · 2021Article
- Causal Bayesian gene networks associated with bone, brain and lung metastasis of breast cancer.Clinical & experimental metastasis · 2020Article
- Anti gC1qR/p32/HABP1 Antibody Therapy Decreases Tumor Growth in an Orthotopic Murine Xenotransplant Model of Triple Negative Breast Cancer.Antibodies (Basel, Switzerland) · 2020Article
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4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionGlobal gene expression analysis of tumor samples has been a valuable tool to subgroup tumors and has the potential to be of prognostic and predictive value. However, tumors are heterogeneous, and homogenates will consist of several different cell types. This study was designed to obtain more refined expression data representing different compartments of the tumor.
methodsFormalin-fixed paraffin-embedded stroma-rich triple-negative breast cancer tumors were laser-microdissected, and RNA was extracted and processed to enable microarray hybridization. Genes enriched in stroma were identified and used to generate signatures by identifying correlating genes in publicly available data sets. The prognostic implications of the signature were analyzed.
resultsComparison of the expression pattern from stromal and cancer cell compartments from three tumors revealed a number of genes that were essentially specifically expressed in the respective compartments. The stroma-specific genes indicated contribution from fibroblasts, endothelial cells, and immune/inflammatory cells. The gene set was expanded by identifying correlating mRNAs using breast cancer mRNA expression data from The Cancer Genome Atlas. By iterative analyses, 16 gene signatures of highly correlating genes were characterized. Based on the gene composition, they seem to represent different cell types. In multivariate Cox proportional hazard models, two immune/inflammatory signatures had opposing hazard ratios for breast cancer recurrence also after adjusting for clinicopathological variables and molecular subgroup. The signature associated with poor prognosis consisted mainly of C1Q genes and the one associated with good prognosis contained HLA genes. This association with prognosis was seen for other cancers as well as in other breast cancer data sets.
conclusionsOur data indicate that the molecular composition of the immune response in a tumor may be a powerful predictor of cancer prognosis.
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