Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

CAR-FIT: CAR-T fitness index for therapy - integrating comorbidity and geriatric assessments to guide safe and equitable delivery of CAR-T in patients with borderline physiological reserve.

Created on 16 Aug 2026

Authors

Kye Ling Wong, Lawrence Cheng Kiat Ng, Nicole-Ann Lim, Francesca Lim, Shin Yeu Ong, Tertius Tuy, Chieh Hwee Ang, Michelle Limei Poon, Esther Chan, Victor Ling, Wee Lee Chan, Edwin Thong, Rachel Ng, Hiu Kwan To, Chandramouli Nagarajan, William Hwang, Aloysius Ho, Yunxin Chen

Published in

Transplantation and cellular therapy. Aug 15, 2026. Epub Aug 15, 2026.

Abstract

Appropriate patient selection for chimeric antigen receptor T-cell (CAR-T) therapy is essential to minimise preventable adverse outcomes and optimize resource allocation.
We propose a CAR-T fitness index (CAR-FIT) that integrates frailty and comorbidity assessments derived from a real-world cohort to enable objective stratification of patients.
Eighty patients with relapsed diffuse large B cell lymphoma treated with CAR-T therapy between 2020-2025 were retrospectively reviewed. Outcomes included overall survival (OS), progression free survival (PFS) and severe treatment-related complications, defined as Grade ≥3 cytokine release syndrome (CRS), immune-effector cell-associated neurotoxicity syndrome (ICANS) or immune effector cell-associated haematotoxicity (ICAHT). Patients' fitness and comorbidities were assessed using eastern cooperative oncology group (ECOG), Karnofsky, Cumulative Illness Rating Scale (CIRS), Severe4 and Cellular Therapy Comorbidity Index (CTCI) scores and categorized to either "fit", "borderline" or "unfit".
Using individual comorbidities scores, 30% (n=24) had CIRS ≥7, 8.8% (n=7) had Severe4, and 5% (n=4) had CTCI >3. With CAR-FIT, patients were fit (51.2%, n=41), borderline-fit (28.8%, n=23) and unfit (20%, n=16). There was a significant difference in 1-year OS among the fit, borderline and unfit groups (96.7%, 95% CI 90.5-100; 66.7%, 95% CI 47.3-94.1; 45.8%, 95% CI 22.2-94.8 respectively; p=0.03). A corresponding difference in 1-year PFS was also noted (fit: 78.1%, 95% CI 65.7-92.9; borderline-fit: 52.9%, 95% CI 35.1-79.6; unfit: 43.8%, 95% CI 22.1-86.8; p<0.01).
Combining CIRS, Severe4, and CTCI scores correlated with good outcome stratification. When integrated with frailty assessment, this approach can refine patient selection to allow safer access to potentially eligible candidates.

PMID:
42603590
Bibliographic data and abstract were imported from PubMed on 16 Aug 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 9
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement