Novel metabolomics-biohumoral biomarkers model for predicting survival of metastatic soft-tissue sarcomas.

ABSTRACT: Soft tissue sarcomas (STSs) are rare malignant tumors that are difficult to prognosticate using currently available instruments. Omics sciences could provide more accurate and individualized survival predictions for patients with metastatic STS. In this pilot, hypothesis-generating study, we integrated clinicopathological variables with proton nuclear magnetic resonance (¹H NMR) plasma metabolomic and lipoproteomic profiles, capturing both tumor and host characteristics, to identify novel prognostic biomarkers of 2-year survival. Forty-five metastatic STS (mSTS) patients with prevalent leiomyosarcoma and liposarcoma histotypes receiving trabectedin treatment were enrolled. A score combining acetate, triglycerides low-density lipoprotein (LDL)-2, and red blood cell count was deve

SUBMITTER: Vignoli A 

PROVIDER: S-EPMC10518687 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature