Fabiana Lϋӧnd, Jeanne Whalen, Youngchul Song, Kalyn Schriefer, Rick Newcombe, Elena J Orlando, Sarah M Choi, Marco Ruella, Joseph A Fraietta, Stephen J Schuster, Jennifer L Brogdon, Matthew J Niederst, Louise M Treanor
{"title":"DLBCL细胞在CD19 CAR-T后出现交叉抗原抵抗和预测临床CAR-T反应的基因标记。","authors":"Fabiana Lϋӧnd, Jeanne Whalen, Youngchul Song, Kalyn Schriefer, Rick Newcombe, Elena J Orlando, Sarah M Choi, Marco Ruella, Joseph A Fraietta, Stephen J Schuster, Jennifer L Brogdon, Matthew J Niederst, Louise M Treanor","doi":"10.1158/2643-3230.BCD-24-0176","DOIUrl":null,"url":null,"abstract":"<p><p>Current understanding of lymphoma cell-intrinsic mechanisms of relapse following CAR-T cell treatment of diffuse large B-cell lymphoma (DLBCL) include antigen-loss and apoptosis resistance. Herein, CD19 CAR-T response and resistance were modeled and it was identified that treatment-naïve CD19 expression does not correlate with CAR-T sensitivity, but resistance is frequently accompanied by reversible downregulation of CD19, that once restored is not paralleled with restored sensitivity to CAR-T mediated killing. Profiling a suite of DLBCL cell lines to CD19 CAR-T sensitivity, reveals that DLBCL cells become non-responsive to CAR-T mediated killing, including to alternative antigen-targeting of CD20 or CD22. Leveraging these resistant models, we identified gene signatures present in the CAR-T resistant DLBCL cell lines that correlate with patient response to CTL019 in two independent clinical trials. Finally, we show that combination strategies to overcome this resistance, including upfront dual antigen-targeting and combined treatment with an Mcl-1 inhibitor, improve CAR-T responses.</p>","PeriodicalId":29944,"journal":{"name":"Blood Cancer Discovery","volume":" ","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DLBCL cells emerge post CD19 CAR-T with cross-antigen resistance and a gene signature predictive of clinical CAR-T response.\",\"authors\":\"Fabiana Lϋӧnd, Jeanne Whalen, Youngchul Song, Kalyn Schriefer, Rick Newcombe, Elena J Orlando, Sarah M Choi, Marco Ruella, Joseph A Fraietta, Stephen J Schuster, Jennifer L Brogdon, Matthew J Niederst, Louise M Treanor\",\"doi\":\"10.1158/2643-3230.BCD-24-0176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Current understanding of lymphoma cell-intrinsic mechanisms of relapse following CAR-T cell treatment of diffuse large B-cell lymphoma (DLBCL) include antigen-loss and apoptosis resistance. Herein, CD19 CAR-T response and resistance were modeled and it was identified that treatment-naïve CD19 expression does not correlate with CAR-T sensitivity, but resistance is frequently accompanied by reversible downregulation of CD19, that once restored is not paralleled with restored sensitivity to CAR-T mediated killing. Profiling a suite of DLBCL cell lines to CD19 CAR-T sensitivity, reveals that DLBCL cells become non-responsive to CAR-T mediated killing, including to alternative antigen-targeting of CD20 or CD22. Leveraging these resistant models, we identified gene signatures present in the CAR-T resistant DLBCL cell lines that correlate with patient response to CTL019 in two independent clinical trials. Finally, we show that combination strategies to overcome this resistance, including upfront dual antigen-targeting and combined treatment with an Mcl-1 inhibitor, improve CAR-T responses.</p>\",\"PeriodicalId\":29944,\"journal\":{\"name\":\"Blood Cancer Discovery\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Cancer Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1158/2643-3230.BCD-24-0176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Cancer Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/2643-3230.BCD-24-0176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
DLBCL cells emerge post CD19 CAR-T with cross-antigen resistance and a gene signature predictive of clinical CAR-T response.
Current understanding of lymphoma cell-intrinsic mechanisms of relapse following CAR-T cell treatment of diffuse large B-cell lymphoma (DLBCL) include antigen-loss and apoptosis resistance. Herein, CD19 CAR-T response and resistance were modeled and it was identified that treatment-naïve CD19 expression does not correlate with CAR-T sensitivity, but resistance is frequently accompanied by reversible downregulation of CD19, that once restored is not paralleled with restored sensitivity to CAR-T mediated killing. Profiling a suite of DLBCL cell lines to CD19 CAR-T sensitivity, reveals that DLBCL cells become non-responsive to CAR-T mediated killing, including to alternative antigen-targeting of CD20 or CD22. Leveraging these resistant models, we identified gene signatures present in the CAR-T resistant DLBCL cell lines that correlate with patient response to CTL019 in two independent clinical trials. Finally, we show that combination strategies to overcome this resistance, including upfront dual antigen-targeting and combined treatment with an Mcl-1 inhibitor, improve CAR-T responses.
期刊介绍:
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.