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多组学整合标志物预测头颈部癌症患者的生存情况。

Integrated Multi-Omics Signature Predicts Survival in Head and Neck Cancer.

机构信息

Cytogenetics and Genomics Laboratory, Institute of Cellular and Molecular Biology, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.

Coimbra Institute for Clinical and Biomedical Research (iCBR), Center of Investigation on Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.

出版信息

Cells. 2022 Aug 16;11(16):2536. doi: 10.3390/cells11162536.

Abstract

Head and Neck Cancer (HNC) is characterized by phenotypic, biological, and clinical heterogeneity. Despite treatment modalities, approximately half of all patients will die of the disease. Several molecular biomarkers have been investigated, but until now, without clinical translation. Here, we identified an integrative nine-gene multi-omics signature correlated with HNC patients' survival independently of relapses or metastasis development. This prognosis multi-omic signature comprises genes mapped in the chromosomes 1q, 3p, 8q, 17q, 19p, and 19q and encompasses alterations at copy number, gene expression, and methylation. Copy number alterations in LMCD1-A1S and GRM7, the methylation status of CEACAM19, KRT17, and ST18, and the expression profile of RPL29, UBA7, FCGR2C, and RPSAP58 can predict the HNC patients' survival. The difference higher than two years observed in the survival of HNC patients that harbor this nine-gene multi-omics signature can represent a significant step forward to improve patients' management and guide new therapeutic targets development.

摘要

头颈部癌症(HNC)的特征是表型、生物学和临床异质性。尽管有多种治疗方法,但仍有约一半的患者会死于该疾病。已经研究了几种分子生物标志物,但到目前为止,这些标志物都没有得到临床转化。在这里,我们确定了一个与 HNC 患者生存相关的综合九个基因多组学特征,该特征独立于复发或转移的发展。这个预后多组学特征包含了映射在染色体 1q、3p、8q、17q、19p 和 19q 上的基因,以及拷贝数、基因表达和甲基化的改变。LMCD1-A1S 和 GRM7 的拷贝数改变、CEACAM19、KRT17 和 ST18 的甲基化状态以及 RPL29、UBA7、FCGR2C 和 RPSAP58 的表达谱可以预测 HNC 患者的生存情况。在携带这个九个基因多组学特征的 HNC 患者中观察到的生存差异超过两年,这可能是在改善患者管理和指导新的治疗靶点开发方面迈出的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7a/9406438/3da82d123250/cells-11-02536-g001.jpg

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