Clinico-characteristics of patients which correlated with preferable treatment outcomes in immunotherapy for advanced hepatocellular carcinoma: a systematic review and meta-analysis

Author:

Wang Yani12,Lau Wanyee3,Li Yafei4,Tian Yichen12,Lei Yongrong12,Wang Jianhua2,Xia Feng1

Affiliation:

1. Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, the First Hospital Affiliated to AMU (Southwest Hospital)

2. Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University

3. Faculty of Medicine, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR, People’s Republic of China

4. Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing

Abstract

Background and aims: Hepatocellular carcinoma (HCC) is the third-most lethal malignant tumor worldwide. The rapid development of immunotherapy utilizing immune checkpoint inhibitors for advanced HCC patients has been witnessed in recent years, along with numerous randomized clinical trials demonstrating the survival benefits for these individuals. This systematic review and meta-analysis aimed to identify specific clinico-pathological characteristics of advanced HCC patients that may lead to preferable responses to immunotherapy in terms of overall survival (OS), progression-free survival (PFS), and objective response rate (ORR). Methods: The included clinical trials were retrieved from PubMed, Embase, the Cochrane library, and the Web of Science databases published in English between 1 January 2002 and 20 October 2022. A systematic review and meta-analysis for first-line and second-line phase II/III studies were conducted on immunotherapy for patients with advanced HCC by using OS as the primary outcome measure, and PFS and ORR as the secondary outcome measures to obtain clinico-pathological characteristics of patients which might be preferable responses to programmed death-1 (PD-1) and programmed cell death-Ligand 1 (PD-L1) inhibitors. Toxicity and specific treatment-related adverse events (TRAEs) were also determined. Results: After screening 1392 relevant studies, 12 studies were included in this systematic review and meta-analysis to include 5948 patients. Based on the analysis of interaction, the difference in OS after first-line immunotherapy between the subgroups of viral hepatitis [hazard ratio (HR)=0.73 vs 0.87, P for interaction=0.02] and macrovascular invasion and/or extrahepatic spread (HR=0.73 vs 0.89, P for interaction=0.02) were significant. The difference in PFS between the subgroups of viral hepatitis was highly significant (pooled HR=0.55 vs 0.81, P for interaction=0.007). After second-line immunotherapy, the difference in ORR between the subgroups of Barcelona Clinic Liver Cancer was significant (pooled ES=0.12 vs 0.23, P for interaction=0.04). Compared with PD-L1 inhibitors, PD-1 inhibitors may have a higher probability to cause TRAEs. Diarrhea, increased aspartate aminotransferase, and hypertension were the top three TRAEs. Conclusions: This systematic review and meta-analysis represents the first pilot study aimed at identifying crucial clinico-pathological characteristics of patients with advanced HCC that may predict favorable treatment outcomes in terms of OS, PFS, and ORR to immunotherapy. Findings suggest that patients with viral hepatitis positivity (especially hepatitis B virus) and macrovascular invasion and/or extrahepatic spread may benefit more in OS when treated with PD-1/PD-L1 immune checkpoint inhibitors.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,Surgery

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