Sun Jiazheng, Rao Lixiang, Zhou Sirui, Zeng Yulan, Sun Yalu
Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Affiliated Hospital of Jining Medical University, Jining, China.
Front Pharmacol. 2024 Sep 9;15:1447970. doi: 10.3389/fphar.2024.1447970. eCollection 2024.
Gastric cancer (GC) is a prevalent form of cancer worldwide and has a high death rate, with less than 40% of patients surviving for 5 years. GC demonstrates a vital characteristic of evading regulatory cell death (RCD). However, the extent to which RCD patterns are clinically significant in GC has not been well investigated. The study created a regulatory cell death index (RCDI) signature by employing 101 machine-learning algorithms. These algorithms were based on the expression files of 1292 GC patients from 6 multicenter cohorts. RCDI is a reliable and robust determinant of the likelihood of surviving in general. Furthermore, the precision of RCDI surpasses that of the 20 signatures that have been previously disclosed. The presence of RCDI signature is closely linked to immunological characteristics, such as the infiltration of immune cells, the presence of immunotherapy markers, and the activation of immune-related functions. This suggests that there is a higher level of immune activity in cases with RCDI signature. Collectively, the use of RCDI has the potential to be a strong and encouraging method for enhancing the clinical results of individual individuals with GC.
胃癌（GC）是全球一种常见的癌症形式，死亡率很高，只有不到40%的患者能存活5年。GC表现出逃避调节性细胞死亡（RCD）的重要特征。然而，RCD模式在GC中的临床意义尚未得到充分研究。该研究通过使用101种机器学习算法创建了一个调节性细胞死亡指数（RCDI）特征。这些算法基于来自6个多中心队列的1292例GC患者的表达文件。RCDI是总体生存可能性的一个可靠且稳健的决定因素。此外，RCDI的精确度超过了之前公布的20种特征。RCDI特征的存在与免疫特征密切相关，如免疫细胞浸润、免疫治疗标志物的存在以及免疫相关功能的激活。这表明具有RCDI特征的病例中免疫活性水平更高。总体而言，使用RCDI有可能成为一种强大且令人鼓舞的方法，以改善GC个体患者的临床结果。
