Systemic Therapy for Hepatocellular Carcinoma: Chinese Consensus-Based Interdisciplinary Expert Statements

医学 索拉非尼 肝细胞癌 靶向治疗 全身疗法 重症监护医学 肿瘤科 内科学 不利影响 癌症 乳腺癌
作者
Yongkun Sun,Wen Zhang,Xinyu Bi,Zhengqiang Yang,Yu Tang,Liming Jiang,Feng Bi,Minshan Chen,Shuqun Cheng,Yihebali Chi,Yue Han,Jing Huang,Zhen Huang,Yuan Ji,Liqun Jia,Zhichao Jiang,Jing Jin,Zhengyu Jin,Xiao Li,Zhiyu Li
出处
期刊:Liver cancer [Karger Publishers]
卷期号:11 (3): 192-208 被引量:35
标识
DOI:10.1159/000521596
摘要

<b><i>Background:</i></b> Hepatocellular carcinoma (HCC) is the most common type of liver cancer and causes many cancer-related deaths worldwide; in China, it is the second most prevalent cause of cancer deaths. Most patients are diagnosed clinically with advanced stage disease. <b><i>Summary:</i></b> For more than a decade, sorafenib, a small-molecular-weight tyrosine kinase inhibitor (SMW-TKI) was the only molecular targeted drug available with a survival benefit for the treatment of advanced HCC. With the development of novel TKIs and immune checkpoint inhibitors for advanced HCC, the management of patients has been greatly improved. However, though angiogenic-based targeted therapy remains the backbone for the systemic treatment of HCC, to date, no Chinese guidelines for novel molecular targeted therapies to treat advanced HCC have been established. Our interdisciplinary panel on the treatment of advanced HCC comprising hepatologists, hepatobiliary surgeons, oncologists, radiologists, pathologists, orthopedic surgeons, traditional Chinese medicine physicians, and interventional radiologists has reviewed the literature in order to develop updated treatment regimens. <b><i>Key Messages:</i></b> Panel consensus statements for the appropriate use of new molecular -targeted drugs including doses, combination therapies, adverse reaction management as well as efficacy evaluation, and predictions for treatment of advanced HCC with evidence levels based on published data are presented, thereby providing an overview of molecular targeted therapies for healthcare professionals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ov5完成签到,获得积分10
1秒前
狗妹那塞完成签到,获得积分10
2秒前
安静发箍发布了新的文献求助10
3秒前
3秒前
科目三应助xiaoze采纳,获得10
4秒前
wyl完成签到,获得积分10
4秒前
Orange应助君君采纳,获得30
6秒前
Orange应助君君采纳,获得10
7秒前
Billy应助君君采纳,获得30
7秒前
打打应助君君采纳,获得10
7秒前
Hello应助君君采纳,获得30
7秒前
上官若男应助君君采纳,获得10
7秒前
BINGBING完成签到,获得积分10
7秒前
7秒前
7秒前
shelemi发布了新的文献求助10
7秒前
8秒前
8秒前
无花果应助Xiang采纳,获得10
8秒前
李健应助Xiang采纳,获得10
9秒前
Lucas应助Xiang采纳,获得10
9秒前
allia完成签到 ,获得积分10
10秒前
12秒前
亦74发布了新的文献求助10
12秒前
xchqb发布了新的文献求助10
12秒前
天天好心覃完成签到 ,获得积分10
13秒前
maoxiaogou完成签到,获得积分10
13秒前
wei发布了新的文献求助10
15秒前
Xiang完成签到,获得积分10
15秒前
端庄的孤风完成签到 ,获得积分10
16秒前
16秒前
17秒前
CCCCCL完成签到,获得积分10
17秒前
18秒前
方强完成签到 ,获得积分10
19秒前
大可完成签到 ,获得积分10
19秒前
LLL完成签到,获得积分10
19秒前
孙煜完成签到,获得积分10
19秒前
魁梧的盼望完成签到 ,获得积分10
20秒前
21秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Burge and Minnechaduza Clarendonian mammalian faunas of north-central Nebraska 206
Youths Who Reason Exceptionally Well Mathematically and/or Verbally: Using the MVT:D4 Model to Develop Their Talents 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3831561
求助须知:如何正确求助?哪些是违规求助? 3373738
关于积分的说明 10481304
捐赠科研通 3093686
什么是DOI,文献DOI怎么找? 1702949
邀请新用户注册赠送积分活动 819237
科研通“疑难数据库(出版商)”最低求助积分说明 771307