|CrossRef Text and Data Mining|
|Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.|
|Inter-alpha Inhibitor H4 as a Potential Biomarker Predicting the Treatment Outcomes in Patients with Hepatocellular Carcinoma|
|Eun-Jung Lee, Seung-Hyun Yang, Kyoung-Jin Kim, Hyejung Cha, Seo Jin Lee, Ji-Hye Kim, Junkyu Song, Kyung-Hee Chun, Jinsil Seong|
|Cancer Research and Treatment. 2018;50(3):646-657. Published online 2017 July 17 DOI: https://doi.org/10.4143/crt.2016.550|
Inter-alpha Inhibitor H4 as a Potential Biomarker Predicting the Treatment Outcomes in Patients with Hepatocellular Carcinoma
P556 INTER-ALPHA TRYPSIN INHIBITOR HEAVY CHAIN H4 AS DIAGNOSTIC AND PROGNOSTIC INDICATOR IN PATIENTS WITH HEPATITIS B VIRUS ASSOCIATED HEPATOCELLULAR CARCINOMA
Inter-alpha inhibitor proteins—biomarker for NEC?
Factors predicting response and survival in 149 patients with unresectable hepatocellular carcinoma treated by combination cisplatin, interferon-alpha, doxorubicin and 5-fluorouracil chemotherapy
Predicting the posttransplant prognosis of patients with hepatocellular carcinoma: What lies beneath alpha-fetoprotein?
Serum TGF-β1: A Potential Biomarker for Early Detection of Hepatocellular Carcinoma
Serum C-reactive protein is a useful biomarker for predicting outcomes after liver transplantation in patients with hepatocellular carcinoma
Predicting individual outcomes in hepatocellular carcinoma
Prognosis in the Early Stages of Hepatocellular Carcinoma: Predicting Outcomes and Properly Selecting Patients for Curative Options
Predicting Outcomes of Patients Undergoing Liver Transplantation for Hepatocellular Carcinoma
|This metadata service is kindly provided by CrossRef from May 29, 2014. Cancer Res Treat has participated in CrossRef Text and Data Mining service since October 29, 2014.|