ArticlePloS one2016
Extensive Transcriptomic and Genomic Analysis Provides New Insights about Luminal Breast Cancers.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- RORγ Bridges Cancer-Driven Lipid Dysmetabolism and Myeloid Immunosuppression.Cancer discovery · 2025Article
- A new insight into the impact of copy number variations on cell cycle deregulation of luminal-type breast cancer.Oncology reviews · 2025Review
- Delineating intra-tumoral heterogeneity and tumor evolution in breast cancer using precision-based approaches.Frontiers in genetics · 2023Review
- The androgen receptor is a tumor suppressor in estrogen receptor-positive breast cancer.Nature medicine · 2021Article
- Article
- Genomic Signatures in Luminal Breast Cancer.Breast care (Basel, Switzerland) · 2020Review
- Quantification of intrinsic subtype ambiguity in Luminal A breast cancer and its relationship to clinical outcomes.BMC cancer · 2019Article
- Article
- Analyzing the similarity of samples and genes by MG-PCC algorithm, t-SNE-SS and t-SNE-SG maps.BMC bioinformatics · 2018Article
- Basal-like breast cancer: molecular profiles, clinical features and survival outcomes.BMC medical genomics · 2017Article
- Ancestry as a potential modifier of gene expression in breast tumors from Colombian women.PloS one · 2017Article
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
Despite constituting approximately two thirds of all breast cancers, the luminal A and B tumours are poorly classified at both clinical and molecular levels. There are contradictory reports on the nature of these subtypes: some define them as intrinsic entities, others as a continuum. With the aim of addressing these uncertainties and identifying molecular signatures of patients at risk, we conducted a comprehensive transcriptomic and genomic analysis of 2,425 luminal breast cancer samples. Our results indicate that the separation between the molecular luminal A and B subtypes-per definition-is not associated with intrinsic characteristics evident in the differentiation between other subtypes. Moreover, t-SNE and MST-kNN clustering approaches based on 10,000 probes, associated with luminal tumour initiation and/or development, revealed the close connections between luminal A and B tumours, with no evidence of a clear boundary between them. Thus, we considered all luminal tumours as a single heterogeneous group for analysis purposes. We first stratified luminal tumours into two distinct groups by their HER2 gene cluster co-expression: HER2-amplified luminal and ordinary-luminal. The former group is associated with distinct transcriptomic and genomic profiles, and poor prognosis; it comprises approximately 8% of all luminal cases. For the remaining ordinary-luminal tumours we further identified the molecular signature correlated with disease outcomes, exhibiting an approximately continuous gene expression range from low to high risk. Thus, we employed four virtual quantiles to segregate the groups of patients. The clinico-pathological characteristics and ratios of genomic aberrations are concordant with the variations in gene expression profiles, hinting at a progressive staging. The comparison with the current separation into luminal A and B subtypes revealed a substantially improved survival stratification. Concluding, we suggest a review of the definition of luminal A and B subtypes. A proposition for a revisited delineation is provided in this study.
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