APrognostic and Carboplatin Response Predictive Model in Ovarian CancerA Mono-Institutional Retrospective Study Based on Clinics and Pharmacogenomics
Articolo
Data di Pubblicazione:
2022
Abstract:
Carboplatin is the cornerstone of ovarian cancer (OC) treatment, while platinumresponse,
dependent on interindividual variability, is the major prognostic factor for long-term
outcomes. This retrospective study was focused on explorative search of genetic polymorphisms in
the Absorption, Distribution, Metabolism, Excretion (ADME) genes for the identification of
biomarkers prognostic/predictive of platinum-response in OC patients. Ninety-two advanced OC
patients treated with carboplatin-based therapy were enrolled at our institution. Of these, we
showed that 72% of patients were platinum-sensitive, with a significant benefit in terms of OS (p =
0.001). We identified an inflammatory-score with a longer OS in patients with lower scores as
compared to patients with the maximum score (p = 0.001). Thirty-two patients were genotyped for
1931 single nucleotide polymorphisms (SNPs) and five copy number variations (CNVs) by the
DMET Plus array platform. Among prognostic polymorphisms, we found a potential role of
UGT2A1 both as a predictor of platinum-response (p = 0.01) and as prognostic of survival (p = 0.05).
Finally, we identified 24 SNPs related to OS. UGT2A1 correlates to an "inflammatory-score" and
retains a potential prognostic role in advanced OC. These data provide a proof of concept that
warrants further validation in follow-up studies for the definition of novel biomarkers in this
aggressive disease.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
advanced ovarian cancer; targeted therapy; carboplatin; DMET analysis; prognostic factors
Elenco autori:
Arbitrio, Mariamena
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