ArticleThe Journal of pathology2017
The molecular basis of breast cancer pathological phenotypes.
Article in The Journal of pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed, 111 citations in OpenAlex.
- Can DNA Methylation in Peritumoral and Contralateral Breast Tissue Predict Recurrence or Second Breast Cancers?Current issues in molecular biology · 2026Article
- tRNA modification genes are associated with genomic instability, proliferative programs, and poor prognosis in breast cancer.Breast cancer (Tokyo, Japan) · 2026Article
- Pan-cancer analysis reveals ELFN1 as a novel prognostic biomarker and immunotherapeutic target associated with tumor microenvironment remodeling and promoting malignant phenotypes in colorectal cancer.Frontiers in oncology · 2025Article
- Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.BMC cancer · 2024Article
- Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.Science advances · 2024Article
- Tumor-Associated Antigen Burden Correlates with Immune Checkpoint Blockade Benefit in Tumors with Low Levels of T-cell Exhaustion.Cancer immunology research · 2024Article
- Molecular Genetic Factors of Risk Stratification of Lymph Node Metastasis in Endometrial Carcinoma.Cancers · 2024Review
- Multistate Gene Cluster Switches Determine the Adaptive Mitochondrial and Metabolic Landscape of Breast Cancer.Cancer research · 2024Article
- The VEGF-Hypoxia Signature Is Upregulated in Basal-like Breast Tumors from Women of African Ancestry and Associated with Poor Outcomes in Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Treatment Response, Tumor Infiltrating Lymphocytes and Clinical Outcomes in Inflammatory Breast Cancer-Treated with Neoadjuvant Systemic Therapy.Cancer research communications · 2024Article
- Gene-Expression Profiling to Decipher Breast Cancer Inter- and Intratumor Heterogeneity.Cold Spring Harbor perspectives in medicine · 2024Review
- Potential biomarkers as a predictive factor of response to primary chemotherapy in breast cancer patients.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024Article
- Cross-linking breast tumor transcriptomic states and tissue histology.Cell reports. Medicine · 2023Article
- Luminal breast cancer identity is determined by loss of glucocorticoid receptor activity.EMBO molecular medicine · 2023Article
- A primary luminal/HER2 negative breast cancer patient with mismatch repair deficiency.Cell death discovery · 2023Article
- Stratification of Tamoxifen Synergistic Combinations for the Treatment of ER+ Breast Cancer.Cancers · 2023Article
- Familial CCM Genes Might Not Be Main Drivers for Pathogenesis of Sporadic CCMs-Genetic Similarity between Cancers and Vascular Malformations.Journal of personalized medicine · 2023Review
- Lack of Association ofGenetics research · 2023Article
- Recent Advances and Applications of Ambient Mass Spectrometry Imaging in Cancer Research: An Overview.Mass spectrometry (Tokyo, Japan) · 2023Review
- Haematological and biochemical analysis of blood samples from early and late stage breast cancer patients in India.Bioinformation · 2023Article
5 more citing papers are in PubMed but not listed here.
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Authors and funding
29 authors at 18 institutions in 6 countries.
Funding
Abstract
The histopathological evaluation of morphological features in breast tumours provides prognostic information to guide therapy. Adjunct molecular analyses provide further diagnostic, prognostic and predictive information. However, there is limited knowledge of the molecular basis of morphological phenotypes in invasive breast cancer. This study integrated genomic, transcriptomic and protein data to provide a comprehensive molecular profiling of morphological features in breast cancer. Fifteen pathologists assessed 850 invasive breast cancer cases from The Cancer Genome Atlas (TCGA). Morphological features were significantly associated with genomic alteration, DNA methylation subtype, PAM50 and microRNA subtypes, proliferation scores, gene expression and/or reverse-phase protein assay subtype. Marked nuclear pleomorphism, necrosis, inflammation and a high mitotic count were associated with the basal-like subtype, and had a similar molecular basis. Omics-based signatures were constructed to predict morphological features. The association of morphology transcriptome signatures with overall survival in oestrogen receptor (ER)-positive and ER-negative breast cancer was first assessed by use of the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset; signatures that remained prognostic in the METABRIC multivariate analysis were further evaluated in five additional datasets. The transcriptomic signature of poorly differentiated epithelial tubules was prognostic in ER-positive breast cancer. No signature was prognostic in ER-negative breast cancer. This study provided new insights into the molecular basis of breast cancer morphological phenotypes. The integration of morphological with molecular data has the potential to refine breast cancer classification, predict response to therapy, enhance our understanding of breast cancer biology, and improve clinical management. This work is publicly accessible at www.dx.ai/tcga_breast. Copyright © 2016 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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