mRNAsi-related metabolic risk score model identifies poor prognosis, immunoevasive contexture, and low chemotherapy response in colorectal cancer patients through machine learning.
mRNAsi-related metabolic risk score model identifies poor prognosis, immunoevasive contexture, and low chemotherapy response in colorectal cancer patients through machine learning.
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DOI：
10.3389/fimmu.2022.950782
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发表时间：
2022
影响因子：
7.3
通讯作者：
Miao, Changhong
中科院分区：
文献类型：
--
作者：
Weng, Meilin;Li, Ting;Zhao, Jing;Guo, Miaomiao;Zhao, Wenling;Gu, Wenchao;Sun, Caihong;Yue, Ying;Zhong, Ziwen;Nan, Ke;Liao, Qingwu;Sun, Minli;Zhou, Di;Miao, Changhong
关键词：
结直肠癌（CRC）是消化系统最致命的癌症之一。虽然癌症干细胞和代谢重编程对肿瘤进展和耐药性有重要影响，但它们对CRC预后的联合作用仍不清楚。因此，我们生成了一个21基因mRNA干性指数相关代谢风险评分模型，该模型在癌症基因组图谱和基因表达综合数据库（1323例患者）中进行了检查，并使用中山医院队列（200例患者）进行了验证。高风险组表现出更多的免疫浸润;更高水平的免疫抑制检查点，如CD 274，肿瘤突变负荷和化疗药物的耐药性;对免疫治疗的反应可能更好;预后更差;肿瘤淋巴结转移的晚期阶段比低风险组。风险评分和临床特征相结合是预测总生存率的有效方法。中山队列研究证实，高危评分组与结直肠癌恶性进展、预后差、辅助化疗反应性差相关，形成免疫逃避的格局。该工具可以提供更准确的CRC风险分层和免疫治疗反应性CRC患者的筛查。
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer stem cells and metabolic reprogramming have an important effect on tumor progression and drug resistance, their combined effect on CRC prognosis remains unclear. Therefore, we generated a 21-gene mRNA stemness index-related metabolic risk score model, which was examined in The Cancer Genome Atlas and Gene Expression Omnibus databases (1323 patients) and validated using the Zhongshan Hospital cohort (200 patients). The high-risk group showed more immune infiltrations; higher levels of immunosuppressive checkpoints, such as CD274, tumor mutation burden, and resistance to chemotherapeutics; potentially better response to immune therapy; worse prognosis; and advanced stage of tumor node metastasis than the low-risk group. The combination of risk score and clinical characteristics was effective in predicting overall survival. Zhongshan cohort validated that high-risk score group correlated with malignant progression, worse prognosis, inferior adjuvant chemotherapy responsiveness of CRC, and shaped an immunoevasive contexture. This tool may provide a more accurate risk stratification in CRC and screening of patients with CRC responsive to immunotherapy.
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影响因子：
--
作者：
Li C;Yang F;Wang R;Li W;Maskey N;Zhang W;Guo Y;Liu S;Wang H;Yao X
通讯作者：
Yao X
影响因子：
8.8
作者：
Ino Y;Yamazaki-Itoh R;Shimada K;Iwasaki M;Kosuge T;Kanai Y;Hiraoka N
通讯作者：
Hiraoka N
影响因子：
64.5
作者：
Malta TM;Sokolov A;Gentles AJ;Burzykowski T;Poisson L;Weinstein JN;Kamińska B;Huelsken J;Omberg L;Gevaert O;Colaprico A;Czerwińska P;Mazurek S;Mishra L;Heyn H;Krasnitz A;Godwin AK;Lazar AJ;Cancer Genome Atlas Research Network;Stuart JM;Hoadley KA;Laird PW;Noushmehr H;Wiznerowicz M
通讯作者：
Wiznerowicz M
影响因子：
4.7
作者：
Böttcher M;Baur R;Stoll A;Mackensen A;Mougiakakos D
通讯作者：
Mougiakakos D
影响因子：
8
作者：
Klebanoff, Christopher A.;Crompton, Joseph G.;Restifo, Nicholas P.
通讯作者：
Restifo, Nicholas P.