ArticleNature communications2017
Mapping genomic and transcriptomic alterations spatially in epithelial cells adjacent to human breast carcinoma.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Intra-individual Gene Expression Variability of Histologically Normal Breast Tissue.Scientific reports · 2018Trial
- Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.Scientific reports · 2025Article
- Genomes and epigenomes of matched normal and tumor breast tissue reveal diverse evolutionary trajectories and tumor-host interactions.American journal of human genetics · 2024Article
- Targeting of mutant-p53 and MYC as a novel strategy to inhibit oncogenic SPAG5 activity in triple negative breast cancer.Cell death & disease · 2024Article
- Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer.Breast cancer research : BCR · 2024Article
- Microenvironment-induced CREPT expression by cancer-derived small extracellular vesicles primes field cancerization.Theranostics · 2024Article
- Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy.Frontiers in immunology · 2024Review
- Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics Analysis.ACS omega · 2023Review
- Endometrial Cancer-Adjacent Tissues Express Higher Levels of Cancer-Promoting Genes than the Matched Tumors.Genes · 2022Article
- Field cancerization in breast cancer.The Journal of pathology · 2022Review
- The initial expression alterations occurring to transcription factors during the formation of breast cancer: Evidence from bioinformatics.Cancer medicine · 2022Article
- Heterogeneity of Circulating Tumor Cell-Associated Genomic Gains in Breast Cancer and Its Association with the Host Immune Response.Cancer research · 2021Article
- Meta-Analysis of Microdissected Breast Tumors Reveals Genes Regulated in the Stroma but Hidden in Bulk Analysis.Cancers · 2021Article
- Ductal carcinoma in situ of breast: update 2019.Pathology · 2019Review
- Differences in mutational processes and intra-tumour heterogeneity between organs: The local selective filter hypothesis.Evolution, medicine, and public health · 2019Review
- High MYC Levels Favour Multifocal Carcinogenesis.Frontiers in genetics · 2018Article
- Multiple Myeloma Exemplifies a Model of Cancer Based on Tissue Disruption as the Initiator Event.Frontiers in oncology · 2018Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
Almost all genomic studies of breast cancer have focused on well-established tumours because it is technically challenging to study the earliest mutational events occurring in human breast epithelial cells. To address this we created a unique dataset of epithelial samples ductoscopically obtained from ducts leading to breast carcinomas and matched samples from ducts on the opposite side of the nipple. Here, we demonstrate that perturbations in mRNA abundance, with increasing proximity to tumour, cannot be explained by copy number aberrations. Rather, we find a possibility of field cancerization surrounding the primary tumour by constructing a classifier that evaluates where epithelial samples were obtained relative to a tumour (cross-validated micro-averaged AUC = 0.74). We implement a spectral co-clustering algorithm to define biclusters. Relating to over-represented bicluster pathways, we further validate two genes with tissue microarrays and in vitro experiments. We highlight evidence suggesting that bicluster perturbation occurs early in tumour development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.