Germline polymorphisms in MGMT associated with temozolomide-related myelotoxicity risk in patients with glioblastoma treated on NRG Oncology/RTOG 0825. Issue 1 (22nd October 2022)
- Record Type:
- Journal Article
- Title:
- Germline polymorphisms in MGMT associated with temozolomide-related myelotoxicity risk in patients with glioblastoma treated on NRG Oncology/RTOG 0825. Issue 1 (22nd October 2022)
- Main Title:
- Germline polymorphisms in MGMT associated with temozolomide-related myelotoxicity risk in patients with glioblastoma treated on NRG Oncology/RTOG 0825
- Authors:
- Scheurer, Michael E
Zhou, Renke
Gilbert, Mark R
Bondy, Melissa L
Sulman, Erik P
Yuan, Ying
Liu, Yanhong
Vera, Elizabeth
Wendland, Merideth M
Youssef, Emad F
Stieber, Volker W
Komaki, Ritsuko R
Flickinger, John C
Kenyon, Lawrence C
Robins, H Ian
Hunter, Grant K
Crocker, Ian R
Chao, Samuel T
Pugh, Stephanie L
Armstrong, Terri S - Abstract:
- 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 withAbstract: 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. … (more)
- Is Part Of:
- Neuro-oncology advances. Volume 4:Issue 1(2022)
- Journal:
- Neuro-oncology advances
- Issue:
- Volume 4:Issue 1(2022)
- Issue Display:
- Volume 4, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 4
- Issue:
- 1
- Issue Sort Value:
- 2022-0004-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10-22
- Subjects:
- genetic association -- glioblastoma -- myelotoxicity -- risk prediction -- temazolomide
616.99481 - Journal URLs:
- https://academic.oup.com/noa ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/noajnl/vdac152 ↗
- Languages:
- English
- ISSNs:
- 2632-2498
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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