Research Appraisalobservational

Predicting late radiation-associated neurocognitive and endocrine toxicity in patients with brain tumors

Journal of neuro-oncologyTuohy, Kyle, Badani, Aarav, Franklin, Ava et al.28 May 2026DOI

Clinical Snapshot

75CEBM
Evidence: Moderateobservational

PICO Framework

P — PopulationPatients with metastatic and malignant primary brain tumors receiving cranial irradiation (n=80, mean age 55.7 years, 53% male)
I — InterventionAssessment of vascular and genotypic risk factors (homocysteine levels, ApoE4 genotype)
C — ComparatorPatients without elevated risk factors
O — OutcomesLate radiation toxicity measured by MMSE decline, white matter changes on MRI, endocrine deficiency, physician and patient assessments

Bottom Line

This prognostic study identifies elevated homocysteine levels and ApoE4 genotype as strong predictors of late neurocognitive and endocrine toxicity following cranial irradiation in brain tumour patients. While the findings are biologically plausible and the development of a clinical nomogram is valuable, the study's limitations include small sample size, single-institution design, and lack of external validation. The unusually wide confidence intervals raise questions about statistical precision. Before clinical implementation, these findings require validation in larger, multi-centre prospective cohorts. However, the identification of modifiable (homocysteine) and non-modifiable (ApoE4) risk factors represents an important step toward personalised radiation therapy planning and potential neuroprotective interventions.

Evidence: Moderate

Key Findings

  • P Value: Homocysteine p<0.001, ApoE4 p=0.004

  • Effect Size: Elevated homocysteine OR 3.96, ApoE4 genotype OR 2.85

  • Primary Outcome: Change in Mini-Mental Status Exam (MMSE) score

  • Nnt Or Sensitivity: Strong predictive associations across multiple toxicity domains

  • Confidence Interval: Homocysteine [6.5-200], ApoE4 [1.92-27.6]

Clinical Application

Pre-treatment homocysteine and ApoE4 testing readily available in Australian laboratories Relevant to Australian neuro-oncology practice; genetic testing covered by Medicare for specific indications; homocysteine testing widely available through pathology services Patients with brain tumours requiring cranial radiotherapy

Abstract

PURPOSE: Neurocognitive and endocrine dysfunction are potential complications of cranial irradiation. However, risk factors are poorly understood, impeding accurate prognostication and exploration of potential preventive interventions. The objective of this study was to evaluate the prognostic value of various vascular and genotypic risk factors for the development of radiation-related toxicities. METHODS: This single-institution retrospective cohort study included patients with metastatic and malignant primary brain tumors who received cranial irradiation as part of their initial tumor-directed therapy. Demographic and treatment characteristics were collected, as well as putative vascular and genotypic risk factors. Univariate, multivariate, and machine-learning analyses were performed using five pre-specified measures of radiation-related toxicity. The primary outcome was change in mini-mental status exam (MMSE). RESULTS: Eighty patients (53% male, mean age 55.7, 53% primary and 44% metastatic brain tumors) were included. Elevated homocysteine and ApOE4 genotype were the strongest predictors of MMSE decline in the multivariate model (OR 3.96 [6.5-200, p < 0.001 and 2.85 [1.92-27.6], p = 0.004). Elevated homocysteine was associated white matter change on MRI and both physician and patient assessment. ApoE4 allele was associated with new endocrine deficiency, and physician assessment. An online nomogram provides risk predictions for each of the five late toxicity outcomes: ( https://afranklin22.shinyapps.io/PRMMSERadiationRiskFactors/ ) CONCLUSION: Two pre-treatment laboratory values (elevated homocysteine and ApOE genotype) were strongly associated with post-radiation neurocognitive and endocrine dysfunction using a variety of domains. Our predictive algorithm can aid clinicians in stratifying baseline risk and should be validated in prospective trials and with additional metrics of ND.

References

  1. 1.Tuohy, K., Badani, A., Franklin, A., Zacharia, B., Aregawi, D., Mansouri, A., Brown, P., & Glantz, M. (2026). Predicting late radiation-associated neurocognitive and endocrine toxicity in patients with brain tumors. Journal of Neuro-Oncology. https://doi.org/10.1007/s11060-013-1181-8
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