Staging of colorectal cancer using lipid biomarkers and machine learning.

ABSTRACT:

Introduction

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Alteration in lipid metabolism and chemokine expression are considered hallmark characteristics of malignant progression and metastasis of CRC. Validated diagnostic and prognostic biomarkers are urgently needed to define molecular heterogeneous CRC clinical stages and subtypes, as liver dominant metastasis has poor survival outcomes.

Objectives

The aim of this study was to integrate lipid changes, concentrations of chemokines, such as platelet factor 4 and interleukin 8, and gene marker status measured in plasma samples, with clinical features from patients at different CRC stages or who had progressed to stage-IV colorectal liver metastasis (CLM).

Methods

High-resolution liqui

SUBMITTER: Krishnan ST 

PROVIDER: S-EPMC10511619 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature