Lv Wenchang, Zhan YuanYuan, Tan Yufang, Wu Yiping, Chen Hongbo
Department of Plastic and Cosmetic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Pharmacol. 2022 Aug 11;13:943944. doi: 10.3389/fphar.2022.943944. eCollection 2022.
Melanoma is the most lethal, and one of the most aggressive forms of cutaneous malignancies, which poor response to treatment has always puzzled clinicians. As is known to all, aging and immune microenvironment are two crucial factors impacting melanoma biological progress through the tumor microenvironment (TME). However, reliable biomarkers for predicting melanoma prognosis based on aging and immune microenvironment and therapeutic efficacy of immune checkpoints remain to be determined. The aging-related genes (ARGs) were obtained from the Human Ageing Genomic Resources and immune-related genes (IRGs) were downloaded from the Immunology database as well as Analysis Portal (ImmPort) database. Next, we initially performed LASSO regression and multivariate Cox regression to identify prognostic ARGs and IRGs in the TCGA and GSE65904 datasets, and firstly constructed a novel comprehensive index of aging and immune (CIAI) signature. Finally, molecular biology experiments were performed to assess the regulatory role of CNTFR in melanoma cell lines proliferation and migration, macrophage recruitment, and M2 polarization. This novel CIAI signature consisted of 7 genes, including FOXM1, TP63, ARNTL, KIR2DL4, CCL8, SEMA6A, and CNTFR, in which melanoma patients in the high-CIAI group had shorter OS, DSS, and PFI, indicating CIAI model served as an independent prognostic index. Moreover, we found the CIAI score was potentially correlated with immune scores, estimate score, immune cell infiltration level, tumor microenvironment, immunotherapy effect, and drug sensitivity. Finally, CNTFR might function as oncogenes in melanoma cell lines and the silencing of CNTFR reduced macrophage recruitment and M2 polarization. In this study, we have first presented a novel prognostic CIAI model applied to assess immune checkpoint therapy and the efficacy of conventional chemotherapy agents in melanoma patients. Thus providing a new insight for combating melanoma.
黑色素瘤是最致命的皮肤恶性肿瘤之一,也是侵袭性最强的形式之一,其对治疗的不良反应一直困扰着临床医生。众所周知,衰老和免疫微环境是通过肿瘤微环境(TME)影响黑色素瘤生物学进展的两个关键因素。然而,基于衰老和免疫微环境预测黑色素瘤预后的可靠生物标志物以及免疫检查点的治疗效果仍有待确定。从人类衰老基因组资源中获取衰老相关基因(ARG),并从免疫学数据库以及分析门户(ImmPort)数据库下载免疫相关基因(IRG)。接下来,我们首先进行LASSO回归和多变量Cox回归,以确定TCGA和GSE65904数据集中的预后ARG和IRG,并首次构建了一种新的衰老与免疫综合指数(CIAI)特征。最后,进行分子生物学实验,以评估CNTFR对黑色素瘤细胞系增殖、迁移、巨噬细胞募集和M2极化的调节作用。这种新的CIAI特征由7个基因组成,包括FOXM1、TP63、ARNTL、KIR2DL4、CCL8、SEMA6A和CNTFR,其中高CIAI组的黑色素瘤患者的总生存期(OS)、疾病特异性生存期(DSS)和无进展生存期(PFI)较短,表明CIAI模型可作为独立的预后指标。此外,我们发现CIAI评分可能与免疫评分、估计评分、免疫细胞浸润水平、肿瘤微环境、免疫治疗效果和药物敏感性相关。最后,CNTFR可能在黑色素瘤细胞系中作为癌基因发挥作用,CNTFR的沉默减少了巨噬细胞募集和M2极化。在本研究中,我们首次提出了一种新的预后CIAI模型,用于评估黑色素瘤患者的免疫检查点治疗和传统化疗药物的疗效。从而为对抗黑色素瘤提供了新的见解。