Pre-transplant measures of geriatric assessment domains and outcomes of allogeneic hematopoietic cell transplantation in adults aged 75 and older.

A Amar Harry Kelkar (Dana-Farber Cancer Institute, Boston, MA) H Haesook T. Kim (2Department of Data Science, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA) N Nichoals Groblewski (Dana-Farber Cancer Institute, Boston, MA) J Joseph Harry Antin (Dana-Farber Cancer Institute, Boston, MA) C Corey S. Cutler (7Division of Hematologic Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA) M Mahasweta Gooptu (1Dana Farber Cancer Institute, Boston, United States) V Vincent Ho (1Dana Farber Cancer Institute, Boston, United States) J John Koreth (1Dana Farber Cancer Institute, Boston, United States) A Ansh Mehta (1Dana Farber Cancer Institute, Boston, United States) P Prashant K. Nageshwar (Dana-Farber Cancer Institute, Boston, MA) S Sarah Nikiforow (2Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) R Rizwan Romee R Roman M. Shapiro (Dana-Farber Cancer Institute, Boston, MA) R Robert Soiffer (1Dana Farber Cancer Institute, Boston, United States) C Catherine J Wu (Dana-Farber Cancer Institute, Boston, MA) C Clark DuMontier G Gregory A. Abel (Dana-Farber Cancer Institute, Boston, Massachusetts, United States)

Abstract

6563 Background: The upper age limit for allogeneic hematopoietic cell transplantation (HCT) has risen over time, yet prior studies indicate worse outcomes—particularly non-relapse mortality (NRM)—in patients over 70 compared to younger patients (Shahzad, Transplant Cell Ther 2025). As the population ages, we expect the transplant-eligible age range to extend, underscoring the need to identify reliable predictors of outcomes in older adults. Methods: We conducted a retrospective study of all adults aged ≥75 who underwent HCT at Dana-Farber Cancer Institute from January 2008 to August 2024. We evaluated overall survival (OS), progression-free survival (PFS), NRM, and cumulative incidence of relapse (CIR). Guided by geriatric assessment (GA) domains, clinical health data were collected from pre-HCT consent session notes. Log-rank (OS, PFS) and Gray’s tests (NRM, relapse) were used for group comparison; Cox (OS, PFS) and Fine-Gray (NRM, relapse) models were used for multivariable analysis. Results: Sixty-seven patients (median age 76 years, range 75-80) were analyzed; 73.1% were male and 86.6% were White. Acute myeloid leukemia (46.3%) and myelodysplastic syndromes (35.8%) were the most common HCT indications. Neutrophil engraftment occurred in 94% of patients by a median of 15 days (range 3-40). Median follow-up for survivors was 21 months (range 11-125), and median OS was 33 months (95% CI: 18-55). At 18 months, OS was 61% (95% CI: 48-72%), PFS 54% (95% CI: 41-66%), NRM 11% (95% CI: 4.9-21%), and CIR 34% (95% CI: 23-46%). In univariable analysis, age ≥77 (p=0.0095), number of medications ≥15 at HCT consent (p=0.0078), and post-HCT bacterial or fungal infection (p=0.039) were associated with worse OS; similar factors affected PFS (e.g., for patients with bacterial or fungal infection, p=0.049). Diabetes (p=0.0001) and ≥15 medications at time of HCT consent (p=0.001) correlated with higher NRM. On multivariable analysis, age ≥77 (HR 2.44; p=0.028) and ≥15 medications (HR 2.68; p=0.019) significantly predicted worse OS; both factors also predicted inferior PFS. Conclusions: In this relatively large cohort of the oldest HCT recipients, older age, polypharmacy, and comorbidities emerged as likely predictors of worse clinical outcomes. Interestingly, relapse—rather than NRM—was the primary cause of treatment failure, aligning with established links between advanced age and the biology of myeloid malignancies. While the expanding upper age limit for HCT is a promising development for patients ≥75, our data are vital to facilitate informed consent discussions. These findings also underscore the need for robust pre-HCT evaluations, such as assessment of other GA domains via dedicated functional assessments (e.g., IADLs and gait speed) to improve risk stratification. Investigation in a larger cohort (≥70 years) is underway to further explore these results.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 6563-6563
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

A

Amar Harry Kelkar

Dana-Farber Cancer Institute, Boston, MA

H

Haesook T. Kim

2Department of Data Science, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA

N

Nichoals Groblewski

Dana-Farber Cancer Institute, Boston, MA

J

Joseph Harry Antin

Dana-Farber Cancer Institute, Boston, MA

C

Corey S. Cutler

7Division of Hematologic Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA

M

Mahasweta Gooptu

1Dana Farber Cancer Institute, Boston, United States

V

Vincent Ho

1Dana Farber Cancer Institute, Boston, United States

J

John Koreth

1Dana Farber Cancer Institute, Boston, United States

A

Ansh Mehta

1Dana Farber Cancer Institute, Boston, United States

P

Prashant K. Nageshwar

Dana-Farber Cancer Institute, Boston, MA

S

Sarah Nikiforow

2Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

R

Rizwan Romee

R

Roman M. Shapiro

Dana-Farber Cancer Institute, Boston, MA

R

Robert Soiffer

1Dana Farber Cancer Institute, Boston, United States

C

Catherine J Wu

Dana-Farber Cancer Institute, Boston, MA

C

Clark DuMontier

G

Gregory A. Abel

Dana-Farber Cancer Institute, Boston, Massachusetts, United States