Field cancerization profile-based prognosis signatures lead to more robust risk evaluation in hepatocellular carcinoma.
Field cancerization profile-based prognosis signatures lead to more robust risk evaluation in hepatocellular carcinoma.
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基于现场癌化特征的预后特征可以对肝细胞癌进行更稳健的风险评估。
DOI：
10.1016/j.isci.2022.103747
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发表时间：
2022-02-18
期刊：
影响因子：
5.8
通讯作者：
Xiong Y
中科院分区：
文献类型：
--
作者：
Huang L;Songyang Z;Dai Z;Xiong Y
开发可靠的生物标志物已成为肝细胞癌（HCC）诊断、治疗和预后评价的迫切问题和研究热点。在这里，我们建立并验证了HCC的两个基于肿瘤谱的预后特征（基因表达评分[GES]和免疫评分[IS]）。我们的研究证实，基于现场癌变谱的模型在风险评估方面优于传统模型，为进一步研究预后模型的构建提供了见解。结合GES、IS和TNM分期构建的nomogram，可有效提高患者整体风险的个体化预测。多种免疫细胞（如CD8 T细胞和树突状细胞）在肿瘤周围表现出不同的特征，这可能解释了免疫治疗的预后和临床疗效的多样性。此外，我们还发现了一系列的药物靶点、预后相关基因和通路，这可能有助于HCC的分子机制研究和治疗靶点的开发。在几种免疫细胞中观察到不同的肿瘤周围特征，确定了几种肿瘤周围药物靶点、预后基因和途径；表达的研究;组学
The development of reliable biomarkers has been an urgent issue as well as a hot spot of research on the diagnosis, treatment, and prognostic evaluation of hepatocellular carcinoma (HCC). Here, we established and validated two field cancerization profile-based prognostic signatures (gene expression score [GES] and immune score [IS]) for HCC. Our study confirmed that field cancerization profile-based models outperform conventional models on risk evaluation, offering insights for further studies on prognostic model construction. The nomogram constructed by combining GES, IS, and TNM stage was proved effective in improving the individualized prediction of the overall risk of patients. Distinct peritumoral characteristics were observed in several immune cells (e.g., CD8 T cells and dendritic cells), which might explain the diversified prognosis and clinical benefit of immunotherapy. Moreover, a series of drug targets, prognosis-associated genes, and pathways were identified, which may contribute to molecular mechanism studies as well as therapeutic target development of HCC. Two field cancerization feature-based prognostic signatures for HCC were developed Joint nomogram is effective in improving individualized risk prediction Different peritumor signatures were observed in several immune cells Several peritumoral drug targets, prognostic genes, and pathways were identified Bioinformatics; Expression study; Omics
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影响因子：
5.6
作者：
Carrillo-Vico A;Lardone PJ;Alvarez-Sánchez N;Rodríguez-Rodríguez A;Guerrero JM
通讯作者：
Guerrero JM
影响因子：
14.9
作者：
Colaprico A;Silva TC;Olsen C;Garofano L;Cava C;Garolini D;Sabedot TS;Malta TM;Pagnotta SM;Castiglioni I;Ceccarelli M;Bontempi G;Noushmehr H
通讯作者：
Noushmehr H
影响因子：
7.3
作者：
Moreno ACR;Porchia BFMM;Pagni RL;Souza PDC;Pegoraro R;Rodrigues KB;Barros TB;Aps LRMM;de Araújo EF;Calich VLG;Ferreira LCS
通讯作者：
Ferreira LCS
DOI：
10.1056/nejmoa0804525
发表时间：
2008-11-06
期刊：
The New England journal of medicine
影响因子：
--
作者：
Hoshida Y;Villanueva A;Kobayashi M;Peix J;Chiang DY;Camargo A;Gupta S;Moore J;Wrobel MJ;Lerner J;Reich M;Chan JA;Glickman JN;Ikeda K;Hashimoto M;Watanabe G;Daidone MG;Roayaie S;Schwartz M;Thung S;Salvesen HB;Gabriel S;Mazzaferro V;Bruix J;Friedman SL;Kumada H;Llovet JM;Golub TR
通讯作者：
Golub TR
糖酵解基因表达谱筛查肝细胞癌的预后风险特征
影响因子：
5.2
作者：
Jiang, Longyang;Zhao, Lan;Zhao, Lin
通讯作者：
Zhao, Lin