Dai Guoyu, Ou Jie, Wu Bin
Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
Department of Gynecology, Xiangya Hospital, Central South University, Changsha, China.
Ann Transl Med. 2022 Apr;10(7):414. doi: 10.21037/atm-22-981.
Metabolic reprogramming has been identified as a hallmark of cancer, influencing the immunity in the tumor microenvironment. Because of the high-heterogeneity of cervical carcinoma, we aim to figure out the metabolic subtypes of cervical carcinoma indicating the prognosis.
We profiled the distinct metabolic signatures using data from transcriptomes obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Bioinformatics analyses were conducted to identify the possible biomarkers of overall survival and chemotherapy resistance.
Immune infiltration was closely related to metabolic pathways, especially in the carbohydrate pathway and the lipid and energy pathway. Two distinct clusters of differentially expressed genes were identified. Six genes were selected as possible indicators of prognosis, including , , , , , and relating to the immune status of tumor microenvironment. Under the risk score model based on metabolic genes, the high-risk group showed significantly lower survival (HR =6.802, with 95% CI: 3.637-12.721, P<0.0001), higher possibility of chemotherapy resistance, and higher infiltration of anti-tumor immune cells compared to the low-risk group.
Metabolic reprogramming, especially in the carbohydrate pathway and the lipid and energy metabolic pathway, is associated with the immune cell microenvironment, which is crucial for the prognosis of Invasive cervical carcinoma (ICC), providing potential therapeutic targets in clinic.
代谢重编程已被确定为癌症的一个标志，影响肿瘤微环境中的免疫。由于宫颈癌的高度异质性，我们旨在找出指示预后的宫颈癌代谢亚型。
我们使用从癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）数据集获得的转录组数据来分析不同的代谢特征。进行生物信息学分析以确定总生存和化疗耐药的可能生物标志物。
免疫浸润与代谢途径密切相关，尤其是在碳水化合物途径以及脂质和能量途径中。鉴定出两个不同的差异表达基因簇。选择了六个基因作为可能的预后指标，包括与肿瘤微环境免疫状态相关的 、 、 、 、 和 。在基于代谢基因的风险评分模型下，与低风险组相比，高风险组的生存率显著更低（HR = 6.802，95% CI：3.637 - 12.721，P < 0.0001），化疗耐药可能性更高，且抗肿瘤免疫细胞浸润更高。
代谢重编程，尤其是在碳水化合物途径以及脂质和能量代谢途径中，与免疫细胞微环境相关，这对浸润性宫颈癌（ICC）的预后至关重要，为临床提供了潜在的治疗靶点。
