Prognostic and Predictive Factors in Patients with Advanced HCC and Elevated Alpha-Fetoprotein Treated with Ramucirumab in Two Randomized Phase III Trials

Author:

Llovet Josep M.123ORCID,Singal Amit G.4,Villanueva Augusto1,Finn Richard S.5,Kudo Masatoshi6ORCID,Galle Peter R.7ORCID,Ikeda Masafumi8ORCID,Callies Sophie9,McGrath Louise M.9ORCID,Wang Chunxiao9,Abada Paolo9,Widau Ryan C.9,Gonzalez-Gugel Elena9,Zhu Andrew X.1011ORCID

Affiliation:

1. 1Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York.

2. 2Translational Research in Hepatic Oncology, Liver Unit, IDIBAPS, Hospital Clinic, University of Barcelona, Catalonia, Spain.

3. 3Institució Catalana d'Estudis Avançats (ICREA), Barcelona, Catalonia, Spain.

4. 4Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, Texas.

5. 5Division of Hematology/Oncology, University of California, Los Angeles, California.

6. 6Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan.

7. 7Department of Internal Medicine, Mainz University Medical Center, Mainz, Germany.

8. 8Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan.

9. 9Eli Lilly and Company, Indianapolis, Indiana.

10. 10Massachusetts General Hospital Cancer Center, Boston, Massachusetts.

11. 11Jiahui International Cancer Center, Jiahui Health, Shanghai, P.R. China.

Abstract

Abstract Purpose: Ramucirumab is an effective treatment for patients with advanced hepatocellular carcinoma (aHCC) and baseline alpha-fetoprotein (AFP) ≥400 ng/mL. We aimed to identify prognostic and predictive factors of response to ramucirumab in patients with aHCC with AFP ≥400 ng/mL from the phase III REACH and REACH-2 randomized trials. Patients and Methods: Patients with aHCC, Child-Pugh class A with prior sorafenib treatment were randomized in REACH and REACH-2 (ramucirumab 8 mg/kg or placebo, biweekly). Meta-analysis of individual patient-level data (pooled population) from REACH (AFP ≥400 ng/mL) and REACH-2 was performed. A drug exposure analysis was conducted for those with evaluable pharmacokinetic data. To identify potential prognostic factors for overall survival (OS), multivariate analyses were performed using a Cox proportional hazards regression model. To define predictors of ramucirumab benefit, subgroup-by-treatment interaction terms were evaluated. Results: Of 542 patients (316 ramucirumab, 226 placebo) analyzed, eight variables had independent prognostic value associated with poor outcome (geographical region, Eastern Cooperative Oncology Group performance score ≥1, AFP >1,000 ng/mL, Child-Pugh >A5, extrahepatic spread, high neutrophil-to-lymphocyte ratio, high alkaline phosphatase and aspartate aminotransferase). Ramucirumab survival benefit was present across all subgroups, including patients with very aggressive HCC [above median AFP; HR: 0.64; 95% confidence interval (CI): 0.49–0.84] and nonviral aHCC (HR: 0.56; 95% CI: 0.40–0.79). While no baseline factor was predictive of a differential OS benefit with ramucirumab, analyses demonstrated an association between high drug exposure, treatment-emergent hypertension (grade ≥3), and increased ramucirumab benefit. Conclusions: Ramucirumab provided a survival benefit irrespective of baseline prognostic covariates, and this benefit was greatest in patients with high ramucirumab drug exposure and/or those with treatment-related hypertension.

Funder

National Cancer Institute

Generalitat de Catalunya

Eli Lilly and Company

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3