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Genomic architecture characterizes tumor progression paths and fate in breast cancer patients

  • Hege G. Russnes
  • , Hans Kristian Moen Vollan
  • , Ole Christian Lingjærde
  • , Alexander Krasnitz
  • , Pär Lundin
  • , Bjørn Naume
  • , Therese Sørlie
  • , Elin Borgen
  • , Inga H. Rye
  • , Anita Langerød
  • , Suet Feung Chin
  • , Andrew E. Teschendorff
  • , Philip J. Stephens
  • , Susanne Månér
  • , Ellen Schlichting
  • , Lars O. Baumbusch
  • , Rolf Kåresen
  • , Michael P. Stratton
  • , Michael Wigler
  • , Carlos Caldas
  • Anders Zetterberg, James Hicks, Anne Lise Børresen-Dale*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

128 Scopus citations

Abstract

Distinct molecular subtypes of breast carcinomas have been identified, but translation into clinical use has been limited. We have developed two platform-independent algorithms to explore genomic architectural distortion using array comparative genomic hybridization data to measure (i) whole-arm gains and losses [whole-arm aberration index (WAAI)] and (ii) complex rearrangements [complex arm aberration index (CAAI)]. By applying CAAI and WAAI to data from 595 breast cancer patients, we were able to separate the cases into eight subgroups with different distributions of genomic distortion. Within each subgroup data from expression analyses, sequencing and ploidy indicated that progression occurs along separate paths into more complex genotypes. Histological grade had prognostic impact only in the luminal-related groups, whereas the complexity identified by CAAI had an overall independent prognostic power. This study emphasizes the relation among structural genomic alterations, molecular subtype, and clinical behavior and shows that objective score of genomic complexity (CAAI) is an independent prognostic marker in breast cancer.

Original languageEnglish
Article number38ra47
JournalScience Translational Medicine
Volume2
Issue number38
DOIs
StatePublished - 30 Jun 2010
Externally publishedYes

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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