1. EPID-11. A MULTI-INSTITUTIONAL COMPARATIVE ANALYSIS OF THE CLINICAL, GENOMIC, AND SURVIVAL CHARACTERISTICS OF PEDIATRIC, YOUNG ADULT AND OLDER ADULT PATIENTS WITH IDH-MUTANT GLIOMA
- Author
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Sanda Alexandrescu, Katherine E. Warren, Wenya Linda Bi, Stewart Goldman, Patrick Y. Wen, Mehdi Touat, Keith L. Ligon, Emily Burton, Mary Jane Lim-Fat, Jennifer A. Cotter, Jayne Vogelzang, Ashley Margol, Kristiyana Kaneva, Karen Wright, Clement Ma, Kristina A. Cole, Amy Smith, Kee Kiat Yeo, Kellie Nazemi, Emily Owens, Marilyn M. Li, Hasan Al-Sayegh, Alana McGovern, David A. Reardon, and Eleanor Woodward
- Subjects
Oncology ,Cancer Research ,medicine.medical_specialty ,Adult patients ,business.industry ,Mutant ,O-6-methylguanine-DNA methyltransferase ,medicine.disease ,Copy Number Polymorphism ,Internal medicine ,Glioma ,medicine ,Neurology (clinical) ,Progression-free survival ,Epidemiology & Biostatistics ,Young adult ,business - Abstract
BACKGROUND Prognostic significance of IDH-mutation in glioma is incompletely understood in children and adolescents/young adults (YAs). We compared the clinico-genomic features, outcomes and prognostic factors observed in IDH-mutant gliomas across age groups. METHODS Clinical, histologic and molecular data of patients with IDH-mutant gliomas from 8 pediatric institutions (spanning twenty years) and adult patients from two institutions (from 2013–2019) were identified. Patients were grouped as pediatric (< 19y), YA (19y to < 40y) or older adult (≥ 40y). Genomic alterations, including somatic mutations and copy number variants, were captured with institutional next generation sequencing. Factors were compared across age categories using Fisher’s exact test or analysis-of-variance. Cox proportional-hazards regression tested factors for association with overall (OS) and progression-free survival (PFS). RESULTS Of 379 patients, 48(13%) were pediatric, 204(54%) YA and 127(33%) older adult. Histological subtype differed significantly by age group (p< 0.0001). YAs had higher rates of malignant transformation (p=0.01) and shorter time-from-diagnosis-to-malignant transformation (p=0.01) compared to other age groups. Analysis of genomic alterations revealed an age-related difference in distribution in ATRX mutations only (p=0.0018). Median PFS and OS for the entire cohort were 4.62 and 17.19 years. In univariate models, PFS differed by age group (p=0.0012), with YAs having the worst outcomes. Lack of MGMT methylation (p=0.024) predicted poorer OS. Upfront observant management was predictive of poorer PFS. Gene mutations were not associated with PFS. In multi-variable models, YAs had shorter PFS compared to pediatric (hazard ratio [HR]=2.03, p=0.01) and older adults (HR=1.59, p=0.003) after adjusting for histology, extent of resection, and initial therapy. Age at diagnosis was not associated with OS in multi-variable analysis. CONCLUSIONS Within our cohort, YA with IDH-mutant tumors progressed more quickly compared to their pediatric counterparts. Further study of YA patients with IDH-mutant glioma is critical to better define best practices for this group.
- Published
- 2020