2084 Background: Adjuvant temozolomide (TMZ) is standard of care for IDH-wildtype glioblastoma (GBM), yet clinical benefit is heterogeneous and not fully explained by MGMT promoter methylation. We developed a transcriptomic signature specifically predicting TMZ benefit rather than overall prognosis using a causal inference framework. Methods: Transcriptomic and clinical data from 448 patients with histologic grade 4 IDH-wildtype GBM treated with radiotherapy alone or radiotherapy plus TMZ across six cohorts were analyzed. A training set (N=322; TCGA, CGGA-325/693, GLASS) and an independent validation set (N=126; GSE7696, CGGA-301) were used. Data were normalized, batch-corrected, and screened for outliers. To address non-random treatment assignment, inverse probability of treatment weighting (IPTW) based on propensity scores from age, sex, and MGMT status was applied. A 15-gene Temozolomide Sensitivity Score (TSS) was derived using univariate prognostic filtering followed by LASSO modeling of gene-by-treatment interactions. Final gene weights were obtained from a doubly adjusted multivariable Cox model incorporating IPTW and clinical covariates. Performance was assessed by comparing adjusted hazard ratios (HRs) for TMZ benefit across TSS-defined subgroups. Results: Five genes emerged as significant independent modulators of TMZ response: C2CD4A, SLC35E3, and DNASE1L3 predicted sensitivity, whereas APOBEC3B and PMAIP1 predicted resistance. In the training cohort, TSS-sensitive patients derived significant benefit from TMZ (median overall survival, 21.0 vs 7.7 months; adjusted HR, 0.20; 95% CI, 0.10–0.39; P<0.001), whereas TSS-resistant patients did not (14.4 vs 13.1 months; adjusted HR, 0.89; 95% CI, 0.53–1.51; P=0.674), with a significant difference in treatment effect (P<0.001). Validation confirmed these findings: TSS-sensitive patients benefited (21.9 vs 12.8 months; adjusted HR, 0.32; 95% CI, 0.16–0.62; P<0.001), while TSS-resistant patients did not (13.7 vs 15.1 months; adjusted HR, 1.25; 95% CI, 0.70–2.23; P=0.453), showing differential efficacy (P=0.003). Age, sex, and MGMT status were balanced between groups. Conclusions: A 15-gene transcriptomic signature developed through causal inference and interaction modeling is associated with differential temozolomide benefit in IDH-wildtype glioblastoma independent of MGMT status. This signature may identify patients less likely to benefit from temozolomide, offering a promising tool for de-escalation strategies and enrollment in precision clinical trials.
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Amirhossein Zare
Isfahan University of Medical Sciences
Seyed Reza Salarikia
Tufts University
Amirhesam Zare
Tehran University of Medical Sciences
Journal of Clinical Oncology
Tufts University
Harvard–MIT Division of Health Sciences and Technology
Tehran University of Medical Sciences
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Zare et al. (Wed,) studied this question.
synapsesocial.com/papers/6a192d13fab5b468c4415de5 — DOI: https://doi.org/10.1200/jco.2026.44.16_suppl.2084