Affiliation:
1. Department of Surgery, Wenzhou Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medicine
University, Wenzhou, Zhejiang, 325000, China
2. Department of Colorectal and Anal Surgery, The First Affiliated Hospital
of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
Abstract
Background:
The purpose of this study was to explore the expression profiles of lipid
metabolism-related genes in patients with Colorectal Cancer (CRC).
Methods:
The lipid metabolism statuses of CRC patients from The Cancer Genome Atlas (TCGA)
were analyzed. Risk characteristics were constructed by univariate Cox regression and minimum
Absolute contraction and Selection Operator (LASSO) Cox regression. A histogram was constructed
based on factors such as age, sex, TNM stage, T stage, N stage, and risk score to provide a visual tool
for clinicians to predict the probability of 1-year, 3-year, and 5-year OS for CRC patients. By determining
Area Under Curve (AUC) values, the time-dependent Receiver Operating characteristic
Curve (ROC) was used to evaluate the efficiency of our model in predicting prognosis.
Results:
A novel risk signal based on lipid metabolism-related genes was constructed to predict
the survival of CRC patients. Risk characteristics were shown to be an independent prognostic
factor in CRC patients (p <0.001). There were significant differences in the abundance and immune
characteristics of tumor-filtering immune cells between high-risk and low-risk groups. The
nomogram had a high potential for clinical application and the ROC AUC value was 0.827. Moreover,
ROC analysis demonstrated that the nomogram model was more accurate to predict the survival
of CRC patients than age, gender, stage and risk score.
Conclusion:
In this study, we demonstrated a lipid metabolism-related genes prognosis biomarker
associated with the tumor immune micro-environment in patients with CRC.
Publisher
Bentham Science Publishers Ltd.
Subject
Pharmacology (medical),Cancer Research,Drug Discovery,Oncology,General Medicine