Impact of TP53 genomic alterations in large B-cell lymphoma treated with CD19-chimeric antigen receptor T-cell therapy Journal Article


Authors: Shouval, R.; Alarcon Tomas, A.; Fein, J. A.; Flynn, J. R.; Markovits, E.; Mayer, S.; Afuye, A. O.; Alperovich, A.; Anagnostou, T.; Besser, M. J.; Batlevi, C. L.; Dahi, P. B.; Devlin, S. M.; Fingrut, W. B.; Giralt, S. A.; Lin, R. J.; Markel, G.; Salles, G.; Sauter, C. S.; Scordo, M.; Shah, G. L.; Shah, N.; Scherz-Shouval, R.; van den Brink, M.; Perales, M. A.; Palomba, M. L.
Article Title: Impact of TP53 genomic alterations in large B-cell lymphoma treated with CD19-chimeric antigen receptor T-cell therapy
Abstract: PURPOSE: Tumor-intrinsic features may render large B-cell lymphoma (LBCL) insensitive to CD19-directed chimeric antigen receptor T cells (CAR-T). We hypothesized that TP53 genomic alterations are detrimental to response outcomes in LBCL treated with CD19-CAR-T. MATERIALS AND METHODS: Patients with LBCL treated with CD19-CAR-T were included. Targeted next-generation sequencing was performed on pre-CAR-T tumor samples in a subset of patients. Response and survival rates by histologic, cytogenetic, and molecular features were assessed. Within a cohort of newly diagnosed LBCL with genomic and transcriptomic profiling, we studied interactions between cellular pathways and TP53 status. RESULTS: We included 153 adults with relapsed or refractory LBCL treated with CD19-CAR-T (axicabtagene ciloleucel [50%], tisagenlecleucel [32%], and lisocabtagene maraleucel [18%]). Outcomes echoed pivotal trials: complete response (CR) rate 54%, median overall survival (OS) 21.1 months (95% CI, 14.8 to not reached), and progression-free survival 6 months (3.4 to 9.7). Histologic and cytogenetic LBCL features were not predictive of CR. In a subset of 82 patients with next-generation sequencing profiling, CR and OS rates were comparable with the unsequenced cohort. TP53 alterations (mutations and/or copy number alterations) were common (37%) and associated with inferior CR and OS rates in univariable and multivariable regression models; the 1-year OS in TP53-altered LBCL was 44% (95% CI, 29 to 67) versus 76% (65 to 89) in wild-type (P = .012). Transcriptomic profiling from a separate cohort of patients with newly diagnosed lymphoma (n = 562) demonstrated that TP53 alterations are associated with dysregulation of pathways related to CAR-T-cell cytotoxicity, including interferon and death receptor signaling pathway and reduced CD8 T-cell tumor infiltration. CONCLUSION: TP53 is a potent tumor-intrinsic biomarker that can inform risk stratification and clinical trial design in patients with LBCL treated with CD19-CAR-T. The role of TP53 should be further validated in independent cohorts.
Keywords: treatment outcome; aged; middle aged; retrospective studies; genetics; mutation; mortality; t lymphocyte; t-lymphocytes; gene expression profiling; risk factors; transplantation; retrospective study; protein p53; tumor marker; risk factor; time factors; risk assessment; b cell lymphoma; lymphoma, b-cell; immunology; receptors, antigen, t-cell; predictive value of tests; tumor suppressor protein p53; gene dosage; tp53 protein, human; adoptive immunotherapy; immunotherapy, adoptive; cd19 antigen; lymphocyte antigen receptor; antigens, cd19; biological product; biological products; predictive value; dna copy number variations; copy number variation; adverse event; time factor; high throughput sequencing; high-throughput nucleotide sequencing; humans; human; male; female; biomarkers, tumor; tisagenlecleucel t; axicabtagene ciloleucel; receptors, chimeric antigen; cd19 molecule, human
Journal Title: Journal of Clinical Oncology
Volume: 40
Issue: 4
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2022-02-01
Start Page: 369
End Page: 381
Language: English
DOI: 10.1200/jco.21.02143
PUBMED: 34860572
PROVIDER: scopus
PMCID: PMC8797602
DOI/URL:
Notes: Article -- Export Date: 1 March 2022 -- Source: Scopus
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MSK Authors
  1. Maria Lia Palomba
    439 Palomba
  2. Sergio Andres Giralt
    1063 Giralt
  3. Craig Steven Sauter
    335 Sauter
  4. Miguel-Angel Perales
    935 Perales
  5. Sean McCarthy Devlin
    611 Devlin
  6. Parastoo Bahrami Dahi
    301 Dahi
  7. Michael Scordo
    379 Scordo
  8. Connie Wing-Ching Lee Batlevi
    177 Batlevi
  9. Gunjan Lalitchandra Shah
    437 Shah
  10. Richard Jirui Lin
    128 Lin
  11. Aishat Olaide Afuye
    16 Afuye
  12. Jessica Flynn
    182 Flynn
  13. Roni Shouval
    167 Shouval
  14. Gilles Andre Salles
    299 Salles
  15. Warren Benjamin Fingrut
    40 Fingrut
  16. Nishi Shah
    10 Shah