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Pan‐cancer genomic analyses reveal prognostic and immunogenic features of the tumor melatonergic microenvironment across 14 solid cancer types

机译:泛癌基因组分析揭示肿瘤褪黑素微环境的预后和免疫原特征,横跨14种固体癌细胞

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Abstract We performed comprehensive genomic analyses of the melatonergic system within the tumor microenvironment and their clinical relevance across a broad spectrum of solid tumors. RNA‐seq data from The Cancer Genome Atlas (TCGA) of 14 solid tumors representing 6658 human samples were analyzed. The tumor melatonergic system was characterized by the rates of melatonin synthesis and metabolism using a two‐gene expression model (melatonin synthesis/metabolism Index). We calculated three indexes according to different melatonin metabolism isoenzymes (Index‐I [ ASMT:CYP1A1 ], Index‐II [ ASMT:CYP1A2 ], and Index‐III [ ASMT:CYP1B1 ]). Samples of each cancer type were classified into two subgroups (high vs low) based on median values. Clinical outcomes, mutational burden, and neoepitope abundance were analyzed and compared. We found that the ability of the tumor microenvironment to synthesize and accumulate melatonin varied across cancer types and negatively correlated with tumor burden. Kaplan‐Meier survival analyses and multivariable modeling showed that the three indexes played different roles across different cancers and harbored prognostic values in breast cancer (adjusted hazard ratio [AHR] Index‐II ?=?0.65 [0.44‐0.97]; P?=? 0.03), cervical cancer (AHR Index‐I ?=?0.62 [0.39‐0.98]; P?=? 0.04), lung squamous cell carcinoma (AHR Index‐III ?=?0.75 [0.56‐0.99]; P?=? 0.04), melanoma (AHR Index‐I ?=?0.74 [0.55‐0.98]; P?=? 0.04), and stomach adenocarcinoma (AHR Index‐III ?=?0.68 [0.41‐0.94]; P?=? 0.02). We further investigated its clinical relevance with tumor immunogenic features (mutational burden and neoantigen abundance), which may predict immunotherapy benefits. We observed significant negative correlations with mutational burden in the majority of tumors ( P?? 0.05), except cervical cancer, pancreatic adenocarcinoma, and thyroid carcinoma. Our study provides a systematic overview of the oncostatic values of the melatonergic system and highlights the utilization of this simple and promising gene signature as a prognosticator and potential predictor of response to immunotherapy.
机译:摘要我们在肿瘤微环境中进行了综合基因组分析及其跨越固体瘤的临床相关性。分析了来自代表6658人样品的14个实体肿瘤的癌症基因组Atlas(TCGA)的RNA-SEQ数据。肿瘤升隆能系统的特征在于使用双基因表达模型(褪黑素合成/代谢指数)的褪黑激素合成和代谢的速率。根据不同的褪黑激素代谢同工酶(INDEX-I [ASMT:CYP1A1],INDEX-II [ASMT:CYP1A2]和INDEX-III [ASMT:CYP1B1],计算三个指标。基于中值值,每个癌症类型的样品分为两个亚组(高VS低)。分析并比较了临床结果,突变负担和新腔体丰富。我们发现肿瘤微环境合成和积累褪黑素的能力在癌症类型中变化,与肿瘤负担负相关。 Kaplan-Meier生存分析和多变量建模表明,三个指标在不同癌症上发挥了不同的作用,并在乳腺癌中存在题目预后值(调整后的危险比[AHR]指数-II?= 0.65 [0.44-0.97]; p?=? 0.03),宫颈癌(AHR指数-I?= 0.62 [0.39-0.98]; p?= 0.04),肺鳞状细胞癌(AHR INDEC-III?=?0.75 [0.56-0.99]; p?=? 0.04),黑素瘤(AHR指数-i?=α.0.74[0.55-0.98]; p?= 0.04),胃腺癌(AHR指数-III?=Δ0.68 [0.41-0.94]; p?= 0.02) 。我们进一步调查了其与肿瘤免疫原特征(突变负担和新洲洲)的临床相关性,这可能预测免疫治疗益处。除了宫颈癌,胰腺腺癌和甲状腺癌之外,我们观察到大多数肿瘤中的突变负担的显着负相关性与大多数肿瘤(P?0.05)。我们的研究提供了淡化系统的野原价值的系统概述,并突出了这种简单和有前途的基因签名的利用作为预测者和对免疫疗法反应的潜在预测因子。

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