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A key genomic subtype associated with lymphovascular invasion in invasive breast cancer

  • Sasagu Kurozumi
  • , Chitra Joseph
  • , Sultan Sonbul
  • , Sami Alsaeed
  • , Yousif Kariri
  • , Abrar Aljohani
  • , Sara Raafat
  • , Mansour Alsaleem
  • , Angela Ogden
  • , Simon J. Johnston
  • , Mohammed A. Aleskandarany
  • , Takaaki Fujii
  • , Ken Shirabe
  • , Carlos Caldas
  • , Ibraheem Ashankyty
  • , Leslie Dalton
  • , Ian O. Ellis
  • , Christine Desmedt
  • , Andrew R. Green
  • , Nigel P. Mongan
  • Emad A. Rakha*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1129-1136
Number of pages8
JournalBritish Journal of Cancer
Volume120
Issue number12
DOIs
StatePublished - 11 Jun 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, Cancer Research UK.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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