Fang Wang
3 Papers
4 Citations
Fang Wang is an academic researcher. The author has contributed to research in topics: Hepatocellular carcinoma & Medicine. The author has an hindex of 2, co-authored 3 publications.
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Papers
Neoadjuvant cemiplimab for resectable hepatocellular carcinoma: a single-arm, open-label, phase 2 trial.
Thomas U. Marron,M. Isabel Fiel,Pauline Hamon,Nathalie Fiaschi,Edward J. Kim,Stephen C. Ward,Zhen Zhao,Joel Kim,Paul Kennedy,S. Gunasekaran,Parissa Tabrizian,Deborah B. Doroshow,Meredith Legg,Ashley Hammad,Assaf Magen,Alice O. Kamphorst,Muhammed S. Shareef,Namita Gupta,Raquel P. Deering,Wei Wang,Fang Wang,Pradeep Thanigaimani,Jayakumar Mani,Leanna Troncoso,Alexandra Tabachnikova,Christie Chang,Guray Akturk,Mark Buckup,Steven Hamel,G. Ioannou,Clotilde Hennequin,Hajra Jamal,Haley Shae Brown,Antoinette Bonaccorso,Daniel M. Labow,Umut Sarpel,Talia D. Rosenbloom,Max Sung,Baijun Kou,Siyu Li,Vladimir Jankovic,Nicolas James,Sara Hamon,H.-Kam Cheung,Jennifer S. Sims,Elizabeth Miller,Nina Bhardwaj,Gavin Thurston,Israel Lowy,Sacha Gnjatic,Bachir Taouli,Myron Schwartz,Miriam Merad +52 more
TL;DR: In this article , the authors evaluated the clinical activity of neoadjuvant cemiplimab (an anti-PD-1) in patients with resectable hepatocellular carcinoma.
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High nuclear ABCG1 expression is a poor predictor for hepatocellular carcinoma patient survival.
TL;DR: In this paper , the role of ABCG1 in hepatocellular carcinoma (HCC) was investigated, and a new stratification pattern was established based on the heterogenous ABCG-1 expression pattern: high risk (Highnucleus/Lowcytosol), moderate risk, low risk, and low risk.
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ASARA, a prediction model based on Child-Pugh class in hepatocellular carcinoma patients undergoing transarterial chemoembolization.
Kefeng Jia,Hao Yu Wang,Changkun Yu,Weili Yin,Xiaodong Zhang,Fang Wang,Cheng-Dong Sun,Wen Shen +7 more
TL;DR: In this article , the authors developed a prediction model for TACE candidates using risk stratification based on varied liver function and used Cox proportional hazards regression to select the independent risk factors and establish a predictive model for the overall survival (OS).
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