医学
福克斯
肝细胞癌
内科学
肿瘤科
化疗
表阿霉素
吉西他滨
癌症
重症监护医学
奥沙利铂
结直肠癌
环磷酰胺
作者
Ziqi Hou,Jie Liu,Zhaoxing Jin,Guoteng Qiu,Qingyun Xie,Shizheng Mi,Jiwei Huang
出处
期刊:BioScience Trends
[International Research and Cooperation Association for Bio & Socio-Sciences Advancement]
日期:2022-02-14
卷期号:16 (1): 31-45
被引量:62
标识
DOI:10.5582/bst.2022.01044
摘要
Hepatic malignancies remain a global challenge. Hepatocellular carcinoma (HCC) accounts for around 90% of patients with liver cancer and is the sixth most common neoplasm worldwide and the fourth leading cause of cancer-related death. However, the long-term prognosis for HCC remains far from satisfactory, with a late diagnosis and limited treatment. DOX has served as conventional chemotherapy with the longest history of use. Although conventional chemotherapy is being challenged by molecular therapy and immune therapy, there is renewed optimism and interest in both systematic and locoregional therapy. Combined chemotherapy is widely used in clinical practice. In specific terms, FOLFOX can serve as a first-line (category 2B) option as recommended by the 2021 NCCN guidelines, while the efficacy of LTLD plus RFA has been confirmed in the phase III HEAT study. These approaches have challenged the dominant status of molecular therapy in terms of health economics and they have potential benefits in Asia, where HBV-related hepatocellular carcinoma is prevalent. Moreover, locoregional chemotherapy can be achieved with TACE and HAIC (possibly involving FOLFOX, DOX, mitomycin C, cisplatin, epirubicin, etc.). TACE was officially recommended by the 2021 NCCN guidelines for patients with Child-Pugh class B liver disease. In addition, HAIC has demonstrated a potential advantage in preliminary clinical practice, although it hasn't been included in any guidelines. Hence, this review summarizes large-scale trials and studies examining the development and innovative use of chemotherapeutic agents. Mounting clinical evidence warrants an exploration of the efficacy of chemotherapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI