Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma-Reference-Cited by-同舟云学术

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Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma

Published:2020-11-01 Issue:11 Volume:39 Page:2028-2039
ISSN:1044-5498
Container-title:DNA and Cell Biology
language:en
Short-container-title:DNA and Cell Biology

Author:

Liu Longgen¹,Wang Bingrui²,Han Qiucheng³,Zhen Chao²,Li Jichang²,Qu Xiaoye²,Wang Fang³,Kong Xiaoni³,Zheng Liming¹

Affiliation:

1. Institute of Hepatology, The Third People's Hospital of Changzhou, Jiangsu, P.R. China.

2. Department of Tumor Interventional Oncology, Renji South Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, P.R. China.

3. Department of Liver Diseases, Central Laboratory, ShuGuang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, P.R. China.

Publisher

Mary Ann Liebert Inc

Subject

Cell Biology,Genetics,Molecular Biology,General Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/dna.2020.5513

Reference47 articles.

1. Clinical characteristics and prognostic factors for advanced hepatocellular carcinoma with extrahepatic metastasis

2. The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging

3. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

4. Evidence-Based Diagnosis, Staging, and Treatment of Patients With Hepatocellular Carcinoma

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