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首页> 外文期刊>Journal of cellular and molecular medicine. >Comprehensive characterization of pathological stage-related genes of papillary thyroid cancer along with survival prediction
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Comprehensive characterization of pathological stage-related genes of papillary thyroid cancer along with survival prediction

机译:乳头状甲状腺癌病理阶段相关基因的综合表征及生存预测

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摘要

It is crucial to understand the differences across papillary thyroid cancer (PTC) stages, so as to provide a basis for individualized treatments. Here, comprehensive function characterization of PTC stage-related genes was performed and a new prognostic signature was developed for advanced patients. Two gene modules were confirmed to be closely associated with PTC stages and further six hub genes were identified that yield excellent diagnostic efficiency between tumour and normal tissues. Genetic alteration analysis indicates that they are much conservative since mutations in the DNA of them rarely occur, but changes of DNA methylation on these six genes show that 12 DNA methylation sites are significantly associated with their corresponding genes' expression. Validation data set testing also suggests that these six stage-related hub genes would be probably potential biomarkers for marking four stages. Subsequently, a 21-mRNA-based prognostic risk model was constructed for PTC stage III/IV patients and it could effectively predict the survival of patients with strong prognostic ability. Functional analysis shows that differential expression genes between high- and low-risk patients would promote the progress of PTC to some extent. Moreover, tumour microenvironment (TME) of high-risk patients may be more conducive to tumour growth by ESTIMATE analysis.
机译:了解乳头状甲状腺癌(PTC)阶段的差异至关重要,从而为个体化治疗提供依据。这里,进行了PTC阶段相关基因的综合功能表征,对先进患者开发了新的预后签名。确认两个基因模块与PTC阶段密切相关,并鉴定出六个枢纽基因,在肿瘤和正常组织之间产生优异的诊断效率。遗传改变分析表明它们是保守的,因为它们的DNA中的突变很少发生,但是在这六个基因上的DNA甲基化的变化表明,12个DNA甲基化位点与其相应的基因表达显着相关。验证数据集测试还表明,这六个阶段相关的中心基因可能是用于标记四个阶段的潜在生物标志物。随后,为PTC阶段III / IV患者构建了一种基于21-mRNA的预后风险模型,它可以有效预测患者的预后能力的存活率。功能分析表明,高风险患者之间的差异表达基因会在一定程度上促进PTC的进展。此外,通过估计分析,高风险患者的肿瘤微环境(TME)可能更有利于肿瘤生长。

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