Ontology highlight
ABSTRACT: Background
We sought to identify clinical and genetic predictors of temozolomide-related myelotoxicity among patients receiving therapy for glioblastoma.Methods
Patients (n = 591) receiving therapy on NRG Oncology/RTOG 0825 were included in the analysis. Cases were patients with severe myelotoxicity (grade 3 and higher leukopenia, neutropenia, and/or thrombocytopenia); controls were patients without such toxicity. A risk-prediction model was built and cross-validated by logistic regression using only clinical variables and extended using polymorphisms associated with myelotoxicity.Results
23% of patients developed myelotoxicity (n = 134). This toxicity was first reported during the concurrent phase of therapy for 56 patients; 30 stopped treatment due to toxicity. Among those who continued therapy (n = 26), 11 experienced myelotoxicity again. The final multivariable clinical factor model included treatment arm, gender, and anticonvulsant status and had low prediction accuracy (area under the curve [AUC] = 0.672). The final extended risk prediction model including four polymorphisms in MGMT had better prediction (AUC = 0.827). Receiving combination chemotherapy (OR, 1.82; 95% CI, 1.02-3.27) and being female (OR, 4.45; 95% CI, 2.45-8.08) significantly increased myelotoxicity risk. For each additional minor allele in the polymorphisms, the risk increased by 64% (OR, 1.64; 95% CI, 1.43-1.89).Conclusions
Myelotoxicity during concurrent chemoradiation with temozolomide is an uncommon but serious event, often leading to treatment cessation. Successful prediction of toxicity may lead to more cost-effective individualized monitoring of at-risk subjects. The addition of genetic factors greatly enhanced our ability to predict toxicity among a group of similarly treated glioblastoma patients.
SUBMITTER: Scheurer ME
PROVIDER: S-EPMC9587696 | biostudies-literature | 2022 Jan-Dec
REPOSITORIES: biostudies-literature
Scheurer Michael E ME Zhou Renke R Gilbert Mark R MR Bondy Melissa L ML Sulman Erik P EP Yuan Ying Y Liu Yanhong Y Vera Elizabeth E Wendland Merideth M MM Youssef Emad F EF Stieber Volker W VW Komaki Ritsuko R RR Flickinger John C JC Kenyon Lawrence C LC Robins H Ian HI Hunter Grant K GK Crocker Ian R IR Chao Samuel T ST Pugh Stephanie L SL Armstrong Terri S TS
Neuro-oncology advances 20220101 1
<h4>Background</h4>We sought to identify clinical and genetic predictors of temozolomide-related myelotoxicity among patients receiving therapy for glioblastoma.<h4>Methods</h4>Patients (<i>n</i> = 591) receiving therapy on NRG Oncology/RTOG 0825 were included in the analysis. Cases were patients with severe myelotoxicity (grade 3 and higher leukopenia, neutropenia, and/or thrombocytopenia); controls were patients without such toxicity. A risk-prediction model was built and cross-validated by lo ...[more]