Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes.

ABSTRACT:

Background

Prostate cancer (PC) is a heterogenous multifocal disease ranging from indolent to lethal states. For improved treatment-stratification, reliable approaches are needed to faithfully differentiate between high- and low-risk tumors and to predict therapy response at diagnosis.

Methods

A metabolomic approach based on high resolution magic angle spinning nuclear magnetic resonance (HR MAS NMR) analysis was applied on intact biopsies samples (n = 111) obtained from patients (n = 31) treated by prostatectomy, and combined with advanced multi- and univariate statistical analysis methods to identify metabolomic profiles reflecting tumor differentiation (Gleason scores and the International Society of Urological Pathology (ISUP) grade) and subtypes based on tumor immunorea

SUBMITTER: Dudka I 

PROVIDER: S-EPMC10683247 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature