Rendleman Justin, Vogelsang Matjaz, Bapodra Anuj, Adaniel Christina, Silva Ines, Moogk Duane, Martinez Carlos N, Fleming Nathaniel, Shields Jerry, Shapiro Richard, Berman Russell, Pavlick Anna, Polsky David, Shao Yongzhao, Osman Iman, Krogsgaard Michelle, Kirchhoff Tomas
Perlmutter Cancer Center, New York University School of Medicine, New York, USA Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York, USA The Interdisciplinary Melanoma Cooperative Group, New York University School of Medicine, New York, USA.
Perlmutter Cancer Center, New York University School of Medicine, New York, USA The Interdisciplinary Melanoma Cooperative Group, New York University School of Medicine, New York, USA Department of Pathology, New York University School of Medicine, New York, USA.
J Med Genet. 2015 Apr;52(4):231-9. doi: 10.1136/jmedgenet-2014-102832. Epub 2015 Jan 20.
Due to high melanoma immunogenicity, germline genetic variants in immune pathways have been studied for association with melanoma prognosis. However, limited candidate selection, inadequate power, or lack of independent validation have hampered the reproducibility of these prior findings, preventing personalised clinical applicability in melanoma prognostication. Our objective was to assess the prognostic utility of genetic variants in immunomodulatory pathways for prediction of melanoma clinical outcomes.
We genotyped 72 tag single nucleotide polymorphisms (SNPs) in 44 immunomodulatory genes in a population sample of 1022 melanoma patients and performed Cox regression analysis to test the association between SNPs and melanoma recurrence-free (RFS) and overall survival (OS). We have further investigated the most significant associations using a fine mapping strategy and followed with functional analyses in CD4+ T cells in a subset of 75 melanoma patients.
The most significant associations were found with melanoma OS for rs3024493 in IL10 at chromosome 1q32.1 (heterozygous HR 0.58, 95% CI 0.39 to 0.86; p=0.0006), a variant previously shown to be linked with autoimmune conditions. Multiple additional SNPs at 1q32.1 were also nominally associated with OS confirming at least two independent association signals in this locus. In addition, we found rs3024493 associated with the downregulation of interleukin 10 (IL10) secretion in CD4+ T cells.
We discovered novel associations of IL10 with melanoma survival at 1q32.1, suggesting this locus should be considered as a novel melanoma prognostic biomarker with potential for aiding melanoma patient management. Our findings also provide further support for an alternative role of IL10 in stimulation of anti-tumour immune response.
由于黑色素瘤具有较高的免疫原性,免疫途径中的种系基因变异已被研究与黑色素瘤预后的关联。然而,候选基因选择有限、检验效能不足或缺乏独立验证阻碍了这些先前研究结果的可重复性,使得其无法应用于黑色素瘤预后的个性化临床实践。我们的目的是评估免疫调节途径中的基因变异对黑色素瘤临床结局的预测效用。
我们对1022例黑色素瘤患者的群体样本中的44个免疫调节基因的72个标签单核苷酸多态性(SNP)进行基因分型,并进行Cox回归分析,以检验SNP与黑色素瘤无复发生存期(RFS)和总生存期(OS)之间的关联。我们使用精细定位策略进一步研究了最显著的关联,并在75例黑色素瘤患者的子集中对CD4+ T细胞进行了功能分析。
在1号染色体1q32.1处的IL10基因中的rs3024493与黑色素瘤OS的关联最为显著(杂合子风险比0.58,95%可信区间0.39至0.86;p = 0.0006),该变异先前已被证明与自身免疫性疾病有关。1q32.1处的多个其他SNP也与OS存在名义上的关联,证实了该位点至少有两个独立的关联信号。此外,我们发现rs3024493与CD4+ T细胞中白细胞介素10(IL10)分泌的下调有关。
我们发现了1q32.1处IL10与黑色素瘤生存的新关联,表明该位点应被视为一种新的黑色素瘤预后生物标志物,具有辅助黑色素瘤患者管理的潜力。我们的研究结果也为IL10在刺激抗肿瘤免疫反应中的替代作用提供了进一步支持。