Key result
DNA methylation profiling plus histopathology identifies distinct prognostic groups in pediatric adrenocortical tumors.
Why the study?
The clinical course of pediatric adrenocortical tumors is difficult to predict using current classification schemas, and DNA methylation patterns with prognostic significance have not been systematically studied in this population.
Does DNA methylation analysis improve prognostic prediction in pediatric adrenocortical tumors?
Observational (n=60)
Yes
Does DNA methylation analysis improve prognostic prediction in pediatric adrenocortical tumors?
DNA methylation analysis combined with histologic classification enhances prognostic prediction in pediatric adrenocortical tumors.
Methylation profiling may refine pediatric ACT risk stratification when combined with histopathology; leaves open prospective validation before clinical adoption.
PURPOSE: Pediatric adrenocortical carcinomas (ACCs) are aggressive; the overall survival of patients with ACCs is 40%-50%. Appropriate staging and histologic classification are crucial because children with incomplete resections, metastases, or relapsed disease have a dismal prognosis. The clinical course of pediatric adrenocortical tumors (ACTs) is difficult to predict using the current classification schemas, which rely on subjective microscopic and gross macroscopic variables. Recent advances in adult ACT studies have revealed distinct DNA methylation patterns with prognostic significance that have not been systematically interrogated in the pediatric population. PATIENTS AND METHODS: We performed DNA methylation analyses on 48 newly diagnosed ACTs from the International Pediatric Adrenocortical Tumor Registry and 12 pediatric adrenal controls to evaluate for distinct methylation groups. Pediatric methylation data were also compared systematically with the adult ACC cohort from The Cancer Genome Atlas (TCGA). RESULTS: germline variants, younger age at onset, and favorable outcome. Pediatric ACT methylation groups were maintained when International Pediatric Adrenocortical Tumor Registry cohort data were combined with TCGA cohort data. The CpG-island hypermethylator phenotype characterizing the TCGA cohort was not identified in the pediatric patients. When methylome findings were combined with independent histopathologic review using the Wieneke criteria, a high-risk population was identified with uniform fatal outcome. CONCLUSION: Our results indicate DNA methylation analysis can enhance current diagnostic algorithms. A combination of methylation and histologic classification produced the strongest prediction model and may prove useful in future risk-adapted therapeutic trials.
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Clay et al. (2019) conducted an observational in Pediatric adrenocortical tumors (n=60). DNA methylation profiling vs. Pediatric adrenal controls and adult ACC cohort was evaluated on Identification of distinct methylation groups and prognostic significance. DNA methylation profiling combined with histopathologic review identified distinct prognostic groups in pediatric adrenocortical tumors, including a high-risk population with uniform fatal outcome.
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