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鉴定与黑色素瘤免疫浸润相关的免疫相关预后特征

Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma.

作者信息

Liu Nian, Liu Zijian, Liu Xinxin, Duan Xiaoru, Huang Yuqiong, Jin Zilin, Niu Yi, Zhang Liling, Chen Hongxiang

机构信息

Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

Front Genet. 2020 Aug 28;11:1002. doi: 10.3389/fgene.2020.01002. eCollection 2020.

Abstract

Melanoma is the leading cause of cancer-related death among skin tumors, with an increasing incidence worldwide. Few studies have effectively investigated the significance of an immune-related gene (IRG) signature for melanoma prognosis. Here, we constructed an IRGs prognostic signature using bioinformatics methods and evaluated and validated its predictive capability. Then, immune cell infiltration and tumor mutation burden (TMB) landscapes associated with this signature in melanoma were analyzed comprehensively. With the 10-IRG prognostic signature, melanoma patients in the low-risk group showed better survival with distinct features of high immune cell infiltration and TMB. Importantly, melanoma patients in this subgroup were significantly responsive to MAGE-A3 in the validation cohort. This immune-related prognostic signature is thus a reliable tool to predict melanoma prognosis; as the underlying mechanism of this signature is associated with immune infiltration and mutation burden, it might reflect the benefit of immunotherapy to patients.

摘要

黑色素瘤是皮肤肿瘤中与癌症相关死亡的主要原因,在全球范围内发病率呈上升趋势。很少有研究有效地调查免疫相关基因(IRG)特征对黑色素瘤预后的意义。在此,我们使用生物信息学方法构建了一个IRG预后特征,并评估和验证了其预测能力。然后,全面分析了黑色素瘤中与该特征相关的免疫细胞浸润和肿瘤突变负荷(TMB)格局。基于10个IRG的预后特征,低风险组的黑色素瘤患者表现出更好的生存率,具有高免疫细胞浸润和TMB的明显特征。重要的是,在验证队列中,该亚组的黑色素瘤患者对MAGE-A3有显著反应。因此,这种免疫相关的预后特征是预测黑色素瘤预后的可靠工具;由于该特征的潜在机制与免疫浸润和突变负荷相关,它可能反映了免疫疗法对患者的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93eb/7484056/c14f956c35d7/fgene-11-01002-g001.jpg

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