Shambavi Richard, Alexander M. Lesokhin, Barry Paul, Jonathan L. Kaufman, Matthew Pianko, Noa Biran, Ravi Vij, Deon B. Doxie, Maryam I. Azeem, Mercedes Martillo, Katie Wozniak, Hearn J. Cho, Kavita M. Dhodapkar, Madhav V. Dhodapkar
{"title":"TIGIT-LAG3阻断治疗骨髓瘤后的临床反应和通路特异性相关性:MyCheckpoint随机临床试验。","authors":"Shambavi Richard, Alexander M. Lesokhin, Barry Paul, Jonathan L. Kaufman, Matthew Pianko, Noa Biran, Ravi Vij, Deon B. Doxie, Maryam I. Azeem, Mercedes Martillo, Katie Wozniak, Hearn J. Cho, Kavita M. Dhodapkar, Madhav V. Dhodapkar","doi":"10.1038/s43018-024-00818-w","DOIUrl":null,"url":null,"abstract":"Persons with myeloma were randomized to receive an anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody followed by combination with pomalidomide and dexamethasone ( NCT04150965 ). Primary and secondary endpoints were safety and efficacy, respectively. Therapy was well tolerated without dose-limiting toxicity. Durable clinical responses were observed in both the anti-TIGIT(three of six participants) and the anti-LAG3 (two of six participants) arms. Anti-LAG3 responders had higher naive cluster of differentiation 4 (CD4)-positive T cells and lower programmed cell death protein 1-positive effector T cells. Anti-TIGIT responders had higher CD226 expression, natural killer cell activation and lower CD112 expression. These data demonstrate the clinical activity of TIGIT–LAG3 blockade and identify pathway-specific response correlates in myeloma. Richard et al. perform a clinical trial of anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody in combination with pomalidomide and dexamethasone in persons with multiple myeloma and define correlates of response using mass cytometry.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":"5 10","pages":"1459-1464"},"PeriodicalIF":23.5000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical response and pathway-specific correlates following TIGIT–LAG3 blockade in myeloma: the MyCheckpoint randomized clinical trial\",\"authors\":\"Shambavi Richard, Alexander M. Lesokhin, Barry Paul, Jonathan L. Kaufman, Matthew Pianko, Noa Biran, Ravi Vij, Deon B. Doxie, Maryam I. Azeem, Mercedes Martillo, Katie Wozniak, Hearn J. Cho, Kavita M. Dhodapkar, Madhav V. Dhodapkar\",\"doi\":\"10.1038/s43018-024-00818-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Persons with myeloma were randomized to receive an anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody followed by combination with pomalidomide and dexamethasone ( NCT04150965 ). Primary and secondary endpoints were safety and efficacy, respectively. Therapy was well tolerated without dose-limiting toxicity. Durable clinical responses were observed in both the anti-TIGIT(three of six participants) and the anti-LAG3 (two of six participants) arms. Anti-LAG3 responders had higher naive cluster of differentiation 4 (CD4)-positive T cells and lower programmed cell death protein 1-positive effector T cells. Anti-TIGIT responders had higher CD226 expression, natural killer cell activation and lower CD112 expression. These data demonstrate the clinical activity of TIGIT–LAG3 blockade and identify pathway-specific response correlates in myeloma. Richard et al. perform a clinical trial of anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody in combination with pomalidomide and dexamethasone in persons with multiple myeloma and define correlates of response using mass cytometry.\",\"PeriodicalId\":18885,\"journal\":{\"name\":\"Nature cancer\",\"volume\":\"5 10\",\"pages\":\"1459-1464\"},\"PeriodicalIF\":23.5000,\"publicationDate\":\"2024-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s43018-024-00818-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s43018-024-00818-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Clinical response and pathway-specific correlates following TIGIT–LAG3 blockade in myeloma: the MyCheckpoint randomized clinical trial
Persons with myeloma were randomized to receive an anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody followed by combination with pomalidomide and dexamethasone ( NCT04150965 ). Primary and secondary endpoints were safety and efficacy, respectively. Therapy was well tolerated without dose-limiting toxicity. Durable clinical responses were observed in both the anti-TIGIT(three of six participants) and the anti-LAG3 (two of six participants) arms. Anti-LAG3 responders had higher naive cluster of differentiation 4 (CD4)-positive T cells and lower programmed cell death protein 1-positive effector T cells. Anti-TIGIT responders had higher CD226 expression, natural killer cell activation and lower CD112 expression. These data demonstrate the clinical activity of TIGIT–LAG3 blockade and identify pathway-specific response correlates in myeloma. Richard et al. perform a clinical trial of anti-TIGIT (T cell immunoreceptor) or anti-LAG3 (lymphocyte activation gene) antibody in combination with pomalidomide and dexamethasone in persons with multiple myeloma and define correlates of response using mass cytometry.
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale.
In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.