British Journal of Cancer · 2019 · 37 citations · 31 references
MedicineCancer BiologyOncologyMetastasisMolecular OncologyTranscriptomicsCancer GenomicsCancer TranscriptomicsLocal InvasionLymphatic MetastasisOncogenic Signaling PathwaysTranscriptomic ProfilingBreast Cancer GenomicsCancer Subtype DiscoveryInvasion-metastasis CascadeLymphovascular Invasion PrognosisMetastatic InvasionSubtype Discovery
BACKGROUND: Lymphovascular invasion (LVI) is associated with the development of metastasis in invasive breast cancer (BC). However, the complex molecular mechanisms of LVI, which overlap with other oncogenic pathways, remain unclear. This study, using available large transcriptomic datasets, aims to identify genes associated with LVI in early-stage BC patients. METHODS: Gene expression data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort (n = 1565) was used as a discovery dataset, and The Cancer Genome Atlas (TCGA; n = 854) cohort was used as a validation dataset. Key genes were identified on the basis of differential mRNA expression with respect to LVI status as characterised by histological review. The relationships among LVI-associated genomic subtype, clinicopathological features and patient outcomes were explored. RESULTS: A 99-gene set was identified that demonstrated significantly different expression between LVI-positive and LVI-negative cases. Clustering analysis with this gene set further divided cases into two molecular subtypes (subtypes 1 and 2), which were significantly associated with pathology-determined LVI status in both cohorts. The 10-year overall survival of subtype 2 was significantly worse than that of subtype 1. CONCLUSION: This study demonstrates that LVI in BC is associated with a specific transcriptomic profile with potential prognostic value.
31
Ethan Cerami, Jianjiong Gao, Uğur Doğrusöz et al. · Cancer Discovery · 2012 · 18.4K citations · Full text
Medicine, Bioinformatics, Oncology +15
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Jianjiong Gao, Bülent Arman Aksoy, Uğur Doğrusöz et al. · Science Signaling · 2013 · 15.9K citations · Full text
Medicine, Bioinformatics, Oncology +17
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
Christina Curtis, Sohrab P. Shah, Suet‐Feung Chin et al. · Nature · 2012 · 6.4K citations · Full text
Life Sciences, Genetics, Oncology +14
Open source clustering software
Michiel de Hoon, Seiya Imoto, John P. Nolan et al. · Bioinformatics · 2004 · 3.2K citations · Full text