Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma

作者全名："Liu, Da; Yang, Fan; Zhang, Tongtong; Mao, Rui"

作者地址："[Liu, Da; Mao, Rui] Cent South Univ, Xiangya Hosp, Dept Dermatol, Changsha, Peoples R China; [Yang, Fan] Peking Univ, Peking Univ Third Hosp, Emergency Dept, Sch Med, Beijing 100083, Peoples R China; [Zhang, Tongtong] Third Peoples Hosp Chengdu, Ctr Gastrointestinal & Minimally Invas Surg, Chengdu 610031, Peoples R China; [Zhang, Tongtong] Chongqing Med Univ, Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Med Res Ctr,Affiliated Hosp,Chengdu Hosp 2, Chengdu 610031, Sichuan, Peoples R China"

通信作者："Mao, R (通讯作者)，Cent South Univ, Xiangya Hosp, Dept Dermatol, Changsha, Peoples R China."

来源：JOURNAL OF TRANSLATIONAL MEDICINE

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000923922300006

JCR分区：Q1

影响因子：6.1

年份：2023

卷号：21

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Cutaneous melanoma; Cuproptosis-related genes; Immunotherapy; Prognosis; Nomogram

摘要："Immunotherapy is a vital treatment for patients with cutaneous melanoma (CM), but effective predictors to guide clinical immunotherapy are lacking. Cuproptosis is a newly discovered mode of cell death related to tumorigenesis. Exploring the relationship between the mode of cuproptosis and the effect of immunotherapy on CM could better guide clinical management. We clustered all patients with CM in the Cancer Genome Atlas (TCGA) database based on cuproptosis-related genes (CRGs). Prognosis, immunotherapeutic effect, tumor microenvironment score, expression of CD274, CTLA4, and PDCD1, and abundance of CD8 + T infiltration in group A were higher than in group B. Using a combination of LASSO and COX regression analysis, we identified 10 molecules significant to prognosis from differentially expressed genes between the two groups and constructed a cuproptosis-related scoring system (CRSS). Compared with the American Joint Committee on Cancer (AJCC) staging system, CRSS more accurately stratified CM patient risk and guided immunotherapy. CRSS successfully stratified risk and predicted the effect of immunotherapy in 869 patients with eight CM immunotherapy datasets and multiple other tumor immunotherapy cohorts. The nomogram model, which combined AJCC stage and CRSS, greatly improved the ability and accuracy of prognosis prediction. In general, our cuproptosis-related scoring system and nomogram model accurately stratified risk in CM patients and effectively predicted prognosis and the effect of immunotherapy in CM patients."

基金机构："National Key Research and Development Program of China [2021YFF1201200]; National Natural Science Foundation of China [82273557]; National Natural Science Funds for Distinguished Young Scholars [82225039]; National Natural Sciences Foundation of Hunan province [2020JJ5950]; National Natural Science Foundation of China [81874251, 82173448]"

基金资助正文："This work was supported by National Key Research and Development Program of China (No.2021YFF1201200), the National Natural Science Foundation of China (82273557), the National Natural Science Funds for Distinguished Young Scholars (82225039), the National Natural Sciences Foundation of Hunan province (2020JJ5950), and the National Natural Science Foundation of China (81874251 and 82173448)."