Institute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, China.
Department of Clinical Biochemistry, School of Medical Laboratory Science, Guizhou Medical University, 550004 Guiyang, Guizhou, China.
Front Biosci (Landmark Ed). 2024 Mar 11;29(3):98. doi: 10.31083/j.fbl2903098.
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.
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.
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, was found to play an important role in regulating the malignant progression of CRC.
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.
大量研究强调了细胞坏死在结直肠癌（CRC）恶性进展中的重要性。然而，细胞坏死相关基因（NRGs）是否可用于预测 CRC 的预后仍有待揭示。
根据 NRGs 的表达，将 CRC 患者分为两个聚类，并比较两个聚类之间的预后。基于 NRGs 建立预后模型，并使用 Kaplan-Meier（K-M）曲线、受试者工作特征（ROC）曲线和列线图验证其预测效率。免疫浸润、单细胞和药物敏感性分析用于研究 NRGs 对 CRC 预后的影响。
该预后模型是 CRC 预后的有效且独立的预测因子。免疫浸润和单细胞分析表明，NRGs 调节 CRC 独特的免疫微环境。药物敏感性分析表明，高低风险组的患者对不同药物敏感。此外，发现 在调节 CRC 的恶性进展中发挥重要作用。
本研究为基于 NRGs 的 CRC 精准免疫治疗提供了新的见解。基于 NRG 的预后模型可能有助于识别靶向药物，并为 CRC 患者制定更有效和个体化的治疗策略。
