Advancing prognostic understanding in hepatocellular carcinoma through the integration of genomic instability and lncRNA signatures: GILncSig model.

IF 1.8 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Marco Bocchetti, Gabriella Misso, Silvia Zappavigna, Marianna Scrima, Michele Caraglia, Francesca Pentimalli, Alessia Maria Cossu
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引用次数: 0

Abstract

The recently published study by Duan et al introduces a promising method that combines genomic instability and long non-coding RNAs to improve the prognostic evaluation of hepatocellular carcinoma (HCC), a deadly cancer associated with considerable morbidity and mortality. This editorial aims to analyze the methodology, key findings, and broader implications of the study within the fields of gastroenterology and oncological surgery, highlighting the shift towards precision medicine in the management of HCC.

通过整合基因组不稳定性和 lncRNA 标志,促进对肝细胞癌预后的了解:GILncSig模型。
Duan 等人最近发表的研究介绍了一种很有前景的方法,该方法结合了基因组不稳定性和长非编码 RNA,以改善肝细胞癌(HCC)的预后评估。这篇社论旨在分析该研究的方法、主要发现以及在胃肠病学和肿瘤外科领域的广泛影响,强调在 HCC 管理中向精准医学的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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5.00%
发文量
111
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