{"title":"肝细胞癌免疫治疗反应的预测因素：有什么前景吗？","authors":"Alessandro Rizzo, A. Ricci","doi":"10.1080/23808993.2022.2075724","DOIUrl":null,"url":null,"abstract":"ABSTRACT Introduction Hepatocellular carcinoma (HCC) remains an important cause of cancer-related death, representing the sixth most commonly diagnosed malignancy worldwide. Novel systemic treatment options have recently emerged for advanced diseases, including immune checkpoint inhibitors (ICIs), as monotherapy or in combination with other anticancer agents. However, several questions remain unanswered, including the identification of predictors of response to immunotherapy in this setting. Areas Covered Herein, we will provide a critical overview of current knowledge regarding predictive biomarkers of response to ICIs in HCC patients. A literature search was conducted in December 2021 of PubMed/Medline, Cochrane library, and Scopus databases. Expert Opinion Several critical issues regarding the role of ICIs in advanced HCC remain unsolved, with the identification of predictive biomarkers representing an unmet need. Further efforts aimed at identifying reliable predictors and the effective role of PD-L1 status, TMB, MSI, and other biomarkers are warranted.","PeriodicalId":12124,"journal":{"name":"Expert Review of Precision Medicine and Drug Development","volume":"7 1","pages":"50 - 57"},"PeriodicalIF":1.0000,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Predictors of response for hepatocellular carcinoma immunotherapy: is there anything on the horizon?\",\"authors\":\"Alessandro Rizzo, A. Ricci\",\"doi\":\"10.1080/23808993.2022.2075724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Introduction Hepatocellular carcinoma (HCC) remains an important cause of cancer-related death, representing the sixth most commonly diagnosed malignancy worldwide. Novel systemic treatment options have recently emerged for advanced diseases, including immune checkpoint inhibitors (ICIs), as monotherapy or in combination with other anticancer agents. However, several questions remain unanswered, including the identification of predictors of response to immunotherapy in this setting. Areas Covered Herein, we will provide a critical overview of current knowledge regarding predictive biomarkers of response to ICIs in HCC patients. A literature search was conducted in December 2021 of PubMed/Medline, Cochrane library, and Scopus databases. Expert Opinion Several critical issues regarding the role of ICIs in advanced HCC remain unsolved, with the identification of predictive biomarkers representing an unmet need. Further efforts aimed at identifying reliable predictors and the effective role of PD-L1 status, TMB, MSI, and other biomarkers are warranted.\",\"PeriodicalId\":12124,\"journal\":{\"name\":\"Expert Review of Precision Medicine and Drug Development\",\"volume\":\"7 1\",\"pages\":\"50 - 57\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2022-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Precision Medicine and Drug Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23808993.2022.2075724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Precision Medicine and Drug Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23808993.2022.2075724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Predictors of response for hepatocellular carcinoma immunotherapy: is there anything on the horizon?
ABSTRACT Introduction Hepatocellular carcinoma (HCC) remains an important cause of cancer-related death, representing the sixth most commonly diagnosed malignancy worldwide. Novel systemic treatment options have recently emerged for advanced diseases, including immune checkpoint inhibitors (ICIs), as monotherapy or in combination with other anticancer agents. However, several questions remain unanswered, including the identification of predictors of response to immunotherapy in this setting. Areas Covered Herein, we will provide a critical overview of current knowledge regarding predictive biomarkers of response to ICIs in HCC patients. A literature search was conducted in December 2021 of PubMed/Medline, Cochrane library, and Scopus databases. Expert Opinion Several critical issues regarding the role of ICIs in advanced HCC remain unsolved, with the identification of predictive biomarkers representing an unmet need. Further efforts aimed at identifying reliable predictors and the effective role of PD-L1 status, TMB, MSI, and other biomarkers are warranted.
期刊介绍：
Expert Review of Precision Medicine and Drug Development publishes primarily review articles covering the development and clinical application of medicine to be used in a personalized therapy setting; in addition, the journal also publishes original research and commentary-style articles. In an era where medicine is recognizing that a one-size-fits-all approach is not always appropriate, it has become necessary to identify patients responsive to treatments and treat patient populations using a tailored approach. Areas covered include: Development and application of drugs targeted to specific genotypes and populations, as well as advanced diagnostic technologies and significant biomarkers that aid in this. Clinical trials and case studies within personalized therapy and drug development. Screening, prediction and prevention of disease, prediction of adverse events, treatment monitoring, effects of metabolomics and microbiomics on treatment. Secondary population research, genome-wide association studies, disease–gene association studies, personal genome technologies. Ethical and cost–benefit issues, the impact to healthcare and business infrastructure, and regulatory issues.
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