Real-world treatment patterns and survival outcomes in primary CNS lymphoma: Analysis of the national cancer database

A Ayo Falade (2Mayo Clinic, Rochester, United States) Y Yu Tao O Olisaemeka Ogbue (1Cleveland Clinic, Department of Translational Hematology and Oncology Research, Cleveland, United States) O Oluwatayo Adeoye (1Mayo Clinic, Hematology/Oncology, Rochester, United States) A Ayodeji Johnson (3Boston Medical Center, Brighton, Department of Medicine, Brighton, United States) A Arushi Khurana (2Mayo Clinic, Rochester, United States) J Jithma Abeykoon (2Mayo Clinic, Hematology, Rochester, United States) U Urshila Durani (1Division of Hematology, Mayo Clinic, Rochester, MN) M Mazie Tsang (2Mayo Clinic Comprehensive Cancer Center, Phoenix, United States) A Allison Rosenthal (1Mayo Clinic, Hematology/Oncology, Rochester, United States) T Talal Hilal (13Mayo Clinic, Phoenix, AZ) J Javier Muñoz P Patrick Johnston (1Mayo Clinic, Hematology, Rochester, United States) H Han Tun (21Mayo Clinic Florida, Jacksonville, FL) G Grzegorz Nowakowski (1Mayo Clinic, Rochester, United States) J James Cerhan (2Mayo Clinic, Rochester, United States) R Richard Godby (1Mayo Clinic, Department of Internal Medicine, Rochester, United States) Y Yucai Wang (State Key Laboratory of Immune Response and Immunotherapy, Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine) J Jihao Zhou (1Mayo Clinic, Rochester, United States)

Abstract

Abstract Background Primary central nervous system lymphoma (PCNSL) is a rare but aggressive non-Hodgkin lymphoma with limited prospective data to guide optimal therapy. This study evaluates real-world treatment patterns and survival outcomes using a large national cohort. Methods We analyzed data from the National Cancer Database (NCDB) for patients diagnosed with PCNSL between 2004 and 2020. Baseline demographics and treatment characteristics were analyzed using descriptive statistics. Survival outcomes were estimated using the Kaplan-Meier method and compared using log-rank tests. Multivariable Cox proportional hazards models were constructed to identify independent predictors of overall survival (OS). Results A total of 14,450 patients with PCNSL were included; 14,439 had first-line treatment data available, and 13,390 had survival data. Median age at diagnosis was 67 years (range 18-90), 49.2% were female, and 6.6% were African American. Chemotherapy alone was the modality of treatment for 81.6% (n=11,787), 12.2% (n=1,769) received chemoradiation, 3.8% (n=545) received chemotherapy and underwent autologous stem cell transplant (ASCT) but no radiation, and 2.4% (n=348) received radiation only. The median follow-up time was 73.5 months (95% CI 71.4-75.6), and the median OS for the group was 17.4 months (95% CI 16.2-18.6). Survival differed significantly by age group (median OS: <65 yrs, 46.1 months [95% CI 41.7 -50.6]; 65-79 yrs, 12.5 months [95% CI 11.2-13.7]; ≥80 yrs, 3.2 months [95% CI 2.9-3.5]; p<0.001), by year of diagnosis (median OS: 2004-2009, 11.0 months [95% CI 9.9-12.1]; 2010-2015, 20.0 months [95% CI 17.4-22.6], 2016-2020, 29.7 months [95% CI 26.0-33.4]; p<0.001), and by frontline treatment strategy (p<0.001). Patients treated with chemotherapy followed by ASCT had the longest median OS (not reached), while those receiving radiation alone had the poorest outcomes with a median OS of 3.9 months (95% CI 3.2-4.7); chemoradiation patients had a median OS of 31.8 months (95% CI 27.5-36.1), and chemotherapy only patients had a median OS of 13.9 months (95% CI 12.7-15.1)(p<0.001). African American patients had an inferior outcome with a median OS of 10.2 months [95% CI 7.2-13.1], compared to “other” races with a median OS of 36.9 months [95% CI 27.6-46.1] (p<0.001), although this is more similar to the median outcome for white patients (17.0 months [95% CI 15.8-18.3]). Treatment at an academic center (25.7 vs 11.0 months) and a high case-volume center (defined as >median number of cases per facility) (18.6 vs 10.5 months), and lower Charlson-Deyo comorbidity scores (CDS) (defined as CDS 0-1) (21.7 vs 6.8 months) were also associated with superior OS (p<0.001). In multivariable analysis, increasing age ( 65-79 y.o HR 1.60 [1.52-1.1.68], ≥80 y.o HR 2.95 [2.75-3.17]), CDS≥2 (HR 1.36 [1.28-1.44]), and African American race (HR 1.12 [1.02-1.24]) were adverse predictors of OS (all p<0.001), while treatment strategy (ASCT [HR 0.17], chemoradiation [HR 0.53], chemotherapy only [HR 0.68] compared to radiation alone), more recent year of diagnosis (2010-2015 [HR 0.81], 2016-2020 [0.70]), and treatment at an academic center [HR 0.81] remained predictors of superior OS (all p<0.001). Conclusion In this large national cohort of patients with PCNSL, treatment with chemotherapy followed by ASCT was associated with the most favorable survival outcomes. Patients treated with chemoradiation or multi-agent chemotherapy also demonstrated improved survival compared to those receiving radiation monotherapy or single-agent chemotherapy alone, respectively. Age, comorbidities, race, and treatment at academic centers were also significant independent predictors of OS. These findings highlight substantial disparities in outcomes and underscore the importance of optimizing treatment strategies, improving access to high-intensity therapies, and supporting timely referral to academic or high case-volume centers, particularly for younger and medically fit patients.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 4494-4494
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (19)

A

Ayo Falade

2Mayo Clinic, Rochester, United States

Y

Yu Tao

O

Olisaemeka Ogbue

1Cleveland Clinic, Department of Translational Hematology and Oncology Research, Cleveland, United States

O

Oluwatayo Adeoye

1Mayo Clinic, Hematology/Oncology, Rochester, United States

A

Ayodeji Johnson

3Boston Medical Center, Brighton, Department of Medicine, Brighton, United States

A

Arushi Khurana

2Mayo Clinic, Rochester, United States

J

Jithma Abeykoon

2Mayo Clinic, Hematology, Rochester, United States

U

Urshila Durani

1Division of Hematology, Mayo Clinic, Rochester, MN

M

Mazie Tsang

2Mayo Clinic Comprehensive Cancer Center, Phoenix, United States

A

Allison Rosenthal

1Mayo Clinic, Hematology/Oncology, Rochester, United States

T

Talal Hilal

13Mayo Clinic, Phoenix, AZ

J

Javier Muñoz

P

Patrick Johnston

1Mayo Clinic, Hematology, Rochester, United States

H

Han Tun

21Mayo Clinic Florida, Jacksonville, FL

G

Grzegorz Nowakowski

1Mayo Clinic, Rochester, United States

J

James Cerhan

2Mayo Clinic, Rochester, United States

R

Richard Godby

1Mayo Clinic, Department of Internal Medicine, Rochester, United States

Y

Yucai Wang

State Key Laboratory of Immune Response and Immunotherapy, Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine

J

Jihao Zhou

1Mayo Clinic, Rochester, United States