通过整合基因组不稳定性和长链非编码RNA特征推进肝细胞癌的预后理解：GILncSig模型
Advancing prognostic understanding in hepatocellular carcinoma through the integration of genomic instability and lncRNA signatures: GILncSig model.
作者信息
Bocchetti Marco, Misso Gabriella, Zappavigna Silvia, Scrima Marianna, Caraglia Michele, Pentimalli Francesca, Cossu Alessia Maria
机构信息
Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.
Department of Molecular and Precision Oncology, Biogem Scarl, Institute of Genetic Research, Ariano Irpino 83031, Italy.
出版信息
World J Gastrointest Surg. 2024 Sep 27;16(9):2774-2777. doi: 10.4240/wjgs.v16.i9.2774.
Abstract
The recently published study by Duan 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.
摘要
段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链非编码RNA，以改善肝细胞癌（HCC）的预后评估，HCC是一种与相当高的发病率和死亡率相关的致命癌症。这篇社论旨在分析该研究在胃肠病学和肿瘤外科领域的方法、主要发现及更广泛的意义，强调在HCC管理中向精准医学的转变。
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