Ji Chen, Li Yuming, Yang Kai, Gao Yanwei, Sha Yan, Xiao Dong, Liang Xiaohong, Cheng Zhongqin
Department of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Department of Pulmonary and Critical Care Medicine, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Open Med (Wars). 2020 Jun 11;15(1):531-539. doi: 10.1515/med-2020-0190. eCollection 2020.
Cutaneous melanoma is an aggressive cancer with increasing incidence and mortality rates worldwide. Metastasis is one of the primary elements that influence the prognosis of patients with cutaneous melanoma. This study aims to clarify the potential mechanism underlying the low survival rate of metastatic melanoma and to search for novel target genes to improve the survival rate of patients with metastatic tumors.
Gene expression dataset and clinical data were downloaded from The Cancer Genome Atlas portal. Differentially expressed genes (DEGs) were identified, and their functions were studied through gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Survival and multivariate Cox regression analyses were used to screen out candidate genes that could affect the prognosis of patients with metastatic melanoma.
After a series of comprehensive statistical analysis, 464 DEGs were identified between primary tumor tissues and metastatic tissues. Survival and multivariate Cox regression analyses revealed four vital genes, namely, , , , and , that affect the prognosis of patients with metastatic melanoma.
This study provides a new direction for studying the pathogenesis of metastatic melanoma. The genes related to cutaneous metastatic melanoma that affect the overall survival time of patients were identified.
皮肤黑色素瘤是一种侵袭性癌症,在全球范围内发病率和死亡率不断上升。转移是影响皮肤黑色素瘤患者预后的主要因素之一。本研究旨在阐明转移性黑色素瘤生存率低的潜在机制,并寻找新的靶基因以提高转移性肿瘤患者的生存率。
从癌症基因组图谱门户下载基因表达数据集和临床数据。鉴定差异表达基因(DEG),并通过基因本体论和京都基因与基因组百科全书富集分析研究其功能。采用生存分析和多变量Cox回归分析筛选出可能影响转移性黑色素瘤患者预后的候选基因。
经过一系列综合统计分析,在原发性肿瘤组织和转移组织之间鉴定出464个DEG。生存分析和多变量Cox回归分析揭示了四个影响转移性黑色素瘤患者预后的关键基因,即 、 、 和 。
本研究为研究转移性黑色素瘤的发病机制提供了新方向。鉴定出了与皮肤转移性黑色素瘤相关且影响患者总生存时间的基因。