Conventional and novel [(18)F]FDG PET/CT features as predictors of CAR-T cell therapy outcome in large B-cell lymphoma Journal Article


Authors: Leithner, D.; Flynn, J. R.; Devlin, S. M.; Mauguen, A.; Fei, T.; Zeng, S.; Zheng, J.; Imber, B. S.; Hubbeling, H.; Mayerhoefer, M. E.; Bedmutha, A.; Luttwak, E.; Corona, M.; Dahi, P. B.; Luna de Abia, A.; Landego, I.; Lin, R. J.; Palomba, M. L.; Scordo, M.; Park, J. H.; Tomas, A. A.; Salles, G.; Lafontaine, D.; Michaud, L.; Shah, G. L.; Perales, M. A.; Shouval, R.; Schöder, H.
Article Title: Conventional and novel [(18)F]FDG PET/CT features as predictors of CAR-T cell therapy outcome in large B-cell lymphoma
Abstract: Relapse and toxicity limit the effectiveness of chimeric antigen receptor T-cell (CAR-T) therapy for large B-cell lymphoma (LBCL), yet biomarkers that predict outcomes and toxicity are lacking. We examined radiomic features extracted from pre-CAR-T 18F-fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG PET/CT) scans (n = 341) of 180 patients (121 male; median age, 66 years). Three conventional (maximum standardized uptake value [SUVmax], metabolic tumor volume [MTV], total lesion glycolysis [TLG]) and 116 novel radiomic features were assessed, along with inflammatory markers, toxicities, and outcomes. At both pre-apheresis and pre-infusion time points, conventional PET features of disease correlated with elevated inflammatory markers. At pre-infusion, MTV was associated with grade ≥ 2 cytokine release syndrome (odds ratio [OR] for 100 mL increase: 1.08 [95% confidence interval (CI), 1.01–1.20], P = 0.031), and SUVmax was associated with failure to achieve complete response (CR) (OR 1.72 [95% CI, 1.24–2.43], P < 0.001). Higher pre-apheresis and pre-infusion MTV values were associated with shorter progression-free survival (PFS) (HR for 10-unit increase: 1.11 [95% CI, 1.05–1.17], P < 0.001; 1.04 [95% CI, 1.02–1.07], P < 0.001) and shorter overall survival (HR for 100-unit increase: 1.14 [95% CI, 1.07–1.21], P < 0.001; 1.04 [95% CI, 1.02–1.06], P < 0.001). A combined MTV and LDH measure stratified patients into high and low PFS risk groups. Multiple pre-infusion novel radiomic features were associated with CR. These quantitative conventional [18F]FDG PET/CT features obtained before CAR-T cell infusion, which were correlated with inflammation markers, may provide prognostic biomarkers for CAR-T therapy efficacy and toxicity. The use of conventional and novel radiomic features may thus help identify high-risk patients for earlier interventions. © The Author(s) 2024.
Keywords: cancer survival; controlled study; aged; major clinical study; overall survival; clinical feature; positron emission tomography; letter; progression free survival; tumor marker; prediction; high risk patient; disease severity; immunotherapy; biomarker; lymphoma; fluorodeoxyglucose f 18; clinical effectiveness; glycolysis; apheresis; clinical outcome; cytokine release syndrome; diffuse large b cell lymphoma; metabolic tumor volume; maximum standardized uptake value; cancer prognosis; total lesion glycolysis; human; male; female; car-t; radiomics; positron emission tomography-computed tomography; chimeric antigen receptor t-cell immunotherapy
Journal Title: Journal of Hematology & Oncology
Volume: 17
ISSN: 1756-8722
Publisher: Biomed Central Ltd  
Date Published: 2024-04-23
Start Page: 21
Language: English
DOI: 10.1186/s13045-024-01540-x
PROVIDER: scopus
PMCID: PMC11035117
PUBMED: 38649972
DOI/URL:
Notes: Letter -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Roni Shouval -- Source: Scopus
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MSK Authors
  1. Junting Zheng
    200 Zheng
  2. Maria Lia Palomba
    415 Palomba
  3. Heiko Schoder
    543 Schoder
  4. Jae Hong Park
    356 Park
  5. Miguel-Angel Perales
    913 Perales
  6. Sean McCarthy Devlin
    601 Devlin
  7. Parastoo Bahrami Dahi
    294 Dahi
  8. Michael Scordo
    365 Scordo
  9. Gunjan Lalitchandra Shah
    418 Shah
  10. Audrey   Mauguen
    155 Mauguen
  11. Laure   Michaud
    34 Michaud
  12. Brandon Stuart Imber
    214 Imber
  13. Richard Jirui Lin
    124 Lin
  14. Jessica Flynn
    182 Flynn
  15. Roni Shouval
    149 Shouval
  16. Gilles Andre Salles
    269 Salles
  17. Teng Fei
    40 Fei
  18. Ivan Patrick Landego
    21 Landego
  19. Efrat Luttwak
    26 Luttwak
  20. Shang Zeng
    2 Zeng