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Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas.

Enrico BerrinoLaura AnnaratoneSara Erika BellomoGiulio FerreroAmedeo GagliardiAlberto BragoniDora GrassiniSimonetta GuarreraCaterina ParlatoLaura CasorzoMara PaneroIvana SarottoSilvia GiordanoMatteo CeredaFilippo MontemurroRiccardo PonzoneNicola CrosettoAlessio NaccaratiAnna SapinoCaterina Marchio
Published in: Genome medicine (2022)
HLBCs harbor distinct genomic features when compared with HER2-positive and HER2-negative BCs; however, differences across IHC classes were also unveiled thus dissecting the full picture of heterogeneity across HER2-low disease. The HLBC-2E category harbors most distinctive features, whereas HLBC-1 seems superimposable to HER2-negative disease. Further studies are needed to ascertain whether the four genomic-driver classes of the LAURA classification hold prognostic and/or predictive implications.
Keyphrases
  • copy number
  • single cell
  • machine learning
  • deep learning
  • rna seq
  • high grade
  • gene expression
  • dna methylation
  • network analysis