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SNPs of aromatase predict long-term survival and aromatase inhibitor toxicity in patients with early breast cancer: a biomarker analysis of the GIM4 and GIM5 trials.

Benedetta ConteLuca BoniGiancarlo BisagniAntonio DurandoGiovanni SannaStefania GoriOrnella GarroneStefano TamberiSabino De PlacidoFrancesco SchettiniAntonio PazzolaRiccardo PonzoneFilippo MontemurroGianluigi LunardiRosario NotaroMaria De AngiolettiAnna TurlettiMauro MansuttiFabio PuglisiAntonio FrassoldatiMauro PorpigliaAlessandra FabiDaniele GeneraliGiovanni ScognamiglioMaura RossiFara Brasó-MaristanyAleix PratBarbara CardinaliPatrizia PiccioliMartina SerraSonia LastraioliClaudia BighinFrancesca PoggioMatteo LambertiniLucia Del Mastro
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2023)
SNPs of aromatase gene predict risk of metastasis and AI-related toxicity in ER+ early BC, opening an opportunity for better treatment individualization.
Keyphrases
  • genome wide
  • early breast cancer
  • oxidative stress
  • copy number
  • dna methylation
  • artificial intelligence
  • gene expression
  • estrogen receptor
  • breast cancer cells
  • deep learning