NCOG-23. CLINICIAN AND PATIENT REPORTED OUTCOMES IN YOUNG ADULTS WITH GLIOBLASTOMA: RESULTS FROM A MULTIMODAL PROSPECTIVE STUDY

Abstract The median age for glioblastoma (GBM) is 65 years old, however, younger patients have a similarly dismal prognosis. The adolescent and young adult (AYA) population (15-39 years) is a unique and understudied population. Our study aimed to identify survivorship needs in adult patients in AYA population (<40 yrs) with GBM through analysis of patient and clinician-reported outcomes (PROs and CROs). The Molecular, Imaging and Neurological assessment Database (MIND-CNS) captures Neurological Assessment in Neuro-Oncology (NANO) scores, MDASI-BT and FACIT-SP12 responses at first clinic visit and follow-ups for patients with GBM. We tested associations of the two age groups (18-39 vs. 40 years and older) with each domain of NANO, MDASI-BT and FACIT-SP12 at baseline and at follow-up visits using multivariate logistic regression models, adjusting for MGMT promoter methylation and extent of resection. There were 104 patients with GBM enrolled, including 11 young adults, (median =30 years) and 93 older adults (median =65 years). Young and older adults scored similarly in the domains of NANO, MDASI-BT, and FACIT-SP12 at baseline. MDASI domains at follow-up showed statistically significant lower scores on weakness, fatigue, distress, irritability, drowsiness, and disturbed sleep in younger vs. older adults (adjusted p<0.05). Younger adults had less difficulty with memory and concentration, and their symptoms interfered less with work, walking, and overall enjoyment of life. They also reported feeling more peaceful, finding greater comfort and strength in their faith and beliefs. A comparison of NANO score at baseline and progression will be performed at data maturation. While PROs were similar at baseline, young adults reported lower severity in their physical symptoms and higher spiritual well-being compared to older adults at follow-up visits, highlighting different survivorship experiences. Data maturation will allow for deeper analysis to better inform supportive strategies.