TY - JOUR
T1 - Factors Affecting the Clinical Course of Follicular Lymphoma
T2 - A Multistate Survival Analysis Using Individual Patient Data from Eight Multicenter Randomized Clinical Trials
AU - Dixon, Jesse G.
AU - Çağlayan, Çağlar
AU - Chihara, Dai
AU - Nielsen, Tina
AU - Dimier, Natalie
AU - Zheng, Jamie
AU - Wall, Anna K.
AU - Salles, Gilles
AU - Morschhauser, Franck
AU - Marcus, Robert
AU - Herold, Michael
AU - Kimby, Eva
AU - Blum, Kristie A.
AU - Ghielmini, Michele
AU - Shi, Qian
AU - Flowers, Christopher R.
N1 - Funding Information:
We thank all the patients, families, and caregivers who participated in each of these studies. We thank all the investigators and study groups included in the analysis and for providing study data. We thank Dr. Daniel Sargent for leadership and direction while creating the FLASH database. This study was supported by research grants from Celgene and Roche. Data were sent directly from original study cooperative groups to the Mayo Clinic Statistical Data Center. Celgene and Roche supported organization and meetings of the Follicular Lymphoma Analysis of Surrogacy Hypothesis (FLASH) group. Final analysis and publication of results were under the authority of the FLASH group.
Funding Information:
We thank all the patients, families, and caregivers who participated in each of these studies. We thank all the investigators and study groups included in the analysis and for providing study data. We thank Dr. Daniel Sargent for leadership and direction while creating the FLASH database. This study was supported by research grants from Celgene and Roche . Data were sent directly from original study cooperative groups to the Mayo Clinic Statistical Data Center. Celgene and Roche supported organization and meetings of the Follicular Lymphoma Analysis of Surrogacy Hypothesis (FLASH) group. Final analysis and publication of results were under the authority of the FLASH group.
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/11
Y1 - 2022/11
N2 - Introduction/Background: Leveraging the Follicular Lymphoma Analysis of Surrogacy Hypothesis database of individual patient data from first-line clinical trials, we studied the clinical course of follicular lymphoma (FL) and investigated clinical factors associated with FL outcomes. Patients and Methods: We examined 2428 patients from 8 randomized trials using multistate survival models with 4 states: induction treatment, progression, death from FL, and death from other causes. We utilized Aalen-Johansen estimator and Cox models to assess the likelihood of FL outcomes and quantify predictors’ effects. Results: Two-year progression, FL-related death, and death from other causes estimates were 26.5%, 3.4% and 1.4%, respectively. FL-associated deaths were the primary cause of mortality within 10 years of follow-up. Male sex (hazard ratio: 1.25; 95% confidence interval: 1.05-1.47), > 4 involved nodal areas (1.51; 1.23-1.86), elevated LDH (1.20; 1.01-1.43), low hemoglobin (1.44; 1.15-1.81), and elevated β-2 levels (1.23; 1.02-1.47) increased risk of progression. CD20-targeting agents reduced risks for progression (0.29; 0.22-0.39), death from FL (0.05; 0.01-0.20), and death from other causes without progression (0.13; 0.05-0.33) and following progression (0.52; 0.30-0.92). Estimated 2-year progression rates were 22.3% and 43.5% with or without CD20-targeting agents, respectively. Two-year FL-associated mortality rate was 8.3% among patients without CD20-targeting agents, 5.4% with B-symptoms, 4.9% with elevated LDH, and 9.1% with low hemoglobin. Conclusion: This study identified independent contributions of baseline clinical factors to distinct outcomes for patients with FL following first-line therapy on a clinical trial. Similar analytical approaches are needed to increase understanding of factors that influence FL outcomes in other settings.
AB - Introduction/Background: Leveraging the Follicular Lymphoma Analysis of Surrogacy Hypothesis database of individual patient data from first-line clinical trials, we studied the clinical course of follicular lymphoma (FL) and investigated clinical factors associated with FL outcomes. Patients and Methods: We examined 2428 patients from 8 randomized trials using multistate survival models with 4 states: induction treatment, progression, death from FL, and death from other causes. We utilized Aalen-Johansen estimator and Cox models to assess the likelihood of FL outcomes and quantify predictors’ effects. Results: Two-year progression, FL-related death, and death from other causes estimates were 26.5%, 3.4% and 1.4%, respectively. FL-associated deaths were the primary cause of mortality within 10 years of follow-up. Male sex (hazard ratio: 1.25; 95% confidence interval: 1.05-1.47), > 4 involved nodal areas (1.51; 1.23-1.86), elevated LDH (1.20; 1.01-1.43), low hemoglobin (1.44; 1.15-1.81), and elevated β-2 levels (1.23; 1.02-1.47) increased risk of progression. CD20-targeting agents reduced risks for progression (0.29; 0.22-0.39), death from FL (0.05; 0.01-0.20), and death from other causes without progression (0.13; 0.05-0.33) and following progression (0.52; 0.30-0.92). Estimated 2-year progression rates were 22.3% and 43.5% with or without CD20-targeting agents, respectively. Two-year FL-associated mortality rate was 8.3% among patients without CD20-targeting agents, 5.4% with B-symptoms, 4.9% with elevated LDH, and 9.1% with low hemoglobin. Conclusion: This study identified independent contributions of baseline clinical factors to distinct outcomes for patients with FL following first-line therapy on a clinical trial. Similar analytical approaches are needed to increase understanding of factors that influence FL outcomes in other settings.
KW - Aalen-Johansen estimator
KW - FLASH
KW - Meta-analysis
KW - Newly diagnosed
KW - Retrospective
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U2 - 10.1016/j.clml.2022.07.015
DO - 10.1016/j.clml.2022.07.015
M3 - Article
C2 - 36045021
AN - SCOPUS:85137097166
SN - 2152-2650
VL - 22
SP - e1009-e1018
JO - Clinical Lymphoma, Myeloma and Leukemia
JF - Clinical Lymphoma, Myeloma and Leukemia
IS - 11
ER -