IMR Press / FBL / Volume 29 / Issue 3 / DOI: 10.31083/j.fbl2903098
Open Access Original Research
Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation
Show Less
1 Institute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, China
2 Department of Clinical Biochemistry, School of Medical Laboratory Science, Guizhou Medical University, 550004 Guiyang, Guizhou, China
3 Clinical Medical College, Guizhou Medical University, 550004 Guiyang, Guizhou, China
4 Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guizhou Province Institute of Hematology, Guizhou Province Laboratory of Hematopoietic Stem Cell Transplantation Centre, 550004 Guiyang, Guizhou, China
5 Department of Obstetrics, Guizhou Provincial People's Hospital, 550499 Guiyang, Guizhou, China
6 Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, 100000 Beijing, China
7 Department of Pathophysiology, Guizhou Medical University, 550004 Guiyang, Guizhou, China
*Correspondence: liqinshan@gmc.edu.cn (Qinshan Li); honglinl2003@163.com (Honglin Liu); lmx1234@gmc.edu.cn (Mengxing Li)
These authors contributed equally.
Front. Biosci. (Landmark Ed) 2024, 29(3), 98; https://doi.org/10.31083/j.fbl2903098
Submitted: 10 November 2023 | Revised: 26 December 2023 | Accepted: 29 December 2023 | Published: 11 March 2024
Copyright: © 2024 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Purpose: Numerous studies have emphasised the importance of necroptosis in the malignant progression of colorectal cancer (CRC). However, whether necroptosis-related genes (NRGs) can be used to predict the prognosis of CRC remains to be revealed. Methods: Patients with CRC were divided into two clusters based on the expression of NRGs, and prognosis was compared between the two clusters. A prognostic model was established based on NRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves and a nomogram. Immune infiltration, single-cell and drug sensitivity analyses were used to examine the effects of NRGs on the prognosis of CRC. Results: The prognostic model served as a valid and independent predictor of CRC prognosis. Immune infiltration and single-cell analyses revealed that the unique immune microenvironment of CRC was regulated by NRGs. Drug sensitivity analysis showed that patients in the high- and low-risk groups were sensitive to different drugs. In addition, H2BC18 was found to play an important role in regulating the malignant progression of CRC. Conclusion: This study provides novel insights into precision immunotherapy based on NRGs in CRC. The NRG-based prognostic model may help to identify targeted drugs and develop more effective and individualised treatment strategies for patients with CRC.

Keywords
necroptosis
colorectal cancer
prognostic model
TCGA
immune infiltration
Graphical Abstract
View Full Image
Download
Funding
81960476/National Natural Science Foundation of China
81460365/National Natural Science Foundation of China
81760039/National Natural Science Foundation of China
82173378/National Natural Science Foundation of China
[2019]1270/Guizhou Provincial Science and Technology Projects
gzwkj2021-160/Guizhou Provincial Health and Health Commission Fund
21NSFCP12/Guizhou Medical University Science and Technology Projects
Figures
Fig. 1.
Share
Back to top