Li Yang, Lyu Shanshan, Gao Zhe, Zha Weifeng, Wang Ping, Shan Yunyun, He Jianzhong, Huang Suyang
Dermatology, The Third People's Hospital of Hangzhou, Hangzhou, China.
Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Front Genet. 2021 Jul 21;12:687979. doi: 10.3389/fgene.2021.687979. eCollection 2021.
Skin cutaneous melanoma (SKCM) is a highly aggressive tumor. The mortality and drug resistance among it are high. Thus, exploring predictive biomarkers for prognosis has become a priority. We aimed to find immune cell-based biomarkers for survival prediction. Here 321 genes were differentially expressed in immune-related groups after ESTIMATE analysis and differential analysis. Two hundred nineteen of them were associated with the metastasis of SKCM weighted gene co-expression network analysis. Twenty-six genes in this module were hub genes. Twelve of the 26 genes were related to overall survival in SKCM patients. After a multivariable Cox regression analysis, we obtained six of these genes (PLA2G2D, IKZF3, MS4A1, ZC3H12D, FCRL3, and P2RY10) that were independent prognostic signatures, and a survival model of them performed excellent predictive efficacy. The results revealed several essential genes that may act as significant prognostic factors of SKCM, which could deepen our understanding of the metastatic mechanisms and improve cancer treatment.
皮肤黑色素瘤（SKCM）是一种侵袭性很强的肿瘤。其死亡率和耐药性都很高。因此，探索预后的预测生物标志物已成为当务之急。我们旨在寻找基于免疫细胞的生存预测生物标志物。经过ESTIMATE分析和差异分析，321个基因在免疫相关组中差异表达。其中219个基因与SKCM的转移相关——加权基因共表达网络分析。该模块中的26个基因是枢纽基因。这26个基因中的12个与SKCM患者的总生存相关。经过多变量Cox回归分析，我们获得了其中6个基因（PLA2G2D、IKZF3、MS4A1、ZC3H12D、FCRL3和P2RY10）作为独立的预后特征，它们的生存模型具有出色的预测效果。结果揭示了几个可能作为SKCM重要预后因素的关键基因，这可以加深我们对转移机制的理解并改善癌症治疗。
