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Integrative Clinical, Hormonal and Molecular Data associate with Invasiveness in Acromegaly: REMAH Study.

Miguel Sampedro-NuñezAura Dulcinea Herrera-MartínezAlejandro Ibáñez-CostaEsther Rivero-CortésEva VenegasMercedes RobledoRebeca Martínez-HernándezAraceli García-MartínezJoan GilMireia JordàJudith López-FernándezInmaculada GavilánSilvia MaraverMontserrat Marqués-PamiesRosa CámaraCarmen Fajardo-MontañanaElena ValassiElena DiosAnna AulinasBetina BiagettiCristina Álvarez EscolaMarta Araujo-CastroConcepción BlancoPaz de MiguelRocío Villar-TaiboClara V ÁlvarezSonia GaztambideSusan M WebbLuis CastañoIgnacio BernabéuAntonio PicóMaría-Ángeles GálvezAlfonso Soto-MorenoManel Puig-DomingoJusto P CastañoMónica MarazuelaRaul Miguel Luquenull null
Published in: European journal of endocrinology (2024)
A specific combination of clinical/analytical/molecular variables was found to be associated with tumor invasiveness and growth capacity in GHomas. Pre-treatment with first-line drugs for acromegaly did not significantly modify the expression of the most relevant biomarkers in our association model. These findings provide valuable insights for risk stratification and personalized management of GHomas.
Keyphrases
  • poor prognosis
  • electronic health record
  • big data
  • single molecule
  • binding protein
  • adipose tissue
  • artificial intelligence
  • mass spectrometry
  • deep learning