Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study.

J Clin Oncol

Xuexia Wang, University of North Texas, Denton, TX; Can-Lan Sun, City of Hope, Duarte; Leo Mascarenhas, Children's Hospital Los Angeles, University of Southern California, Los Angeles; Doojduen Villaluna, Children's Oncology Group, Monrovia, CA; Lindsey Hageman, Kandice Smith, Purnima Singh, Wendy Landier, and Smita Bhatia, University of Alabama at Birmingham, Birmingham, AL; Sunil Desai, University of Alberta, Edmonton, Alberta, Canada; Douglas S. Hawkins, Seattle Children's Hospital, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, WA; Melissa M. Hudson and Leslie L. Robison, St Jude Children's Research Hospital, Memphis, TN; Joseph P. Neglia, University of Minnesota Medical School, Minneapolis, MN; Kevin C. Oeffinger, Duke University Medical Center, Durham, NC; and A. Kim Ritchey, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Published: November 2017

Purpose Survivors of childhood cancer treated with cranial radiation therapy are at risk for subsequent CNS tumors. However, significant interindividual variability in risk suggests a role for genetic susceptibility and provides an opportunity to identify survivors of childhood cancer at increased risk for these tumors. Methods We curated candidate genetic variants from previously published studies in adult-onset primary CNS tumors and replicated these in survivors of childhood cancer with and without subsequent CNS tumors (82 participants and 228 matched controls). We developed prediction models to identify survivors at high or low risk for subsequent CNS tumors and validated these models in an independent matched case-control sample (25 participants and 54 controls). Results We demonstrated an association between six previously published single nucleotide polymorphisms (rs15869 [ BRCA2], rs1805389 [ LIG4], rs8079544 [ TP53], rs25489 [ XRCC1], rs1673041 [ POLD1], and rs11615 [ ERCC1]) and subsequent CNS tumors in survivors of childhood cancer. Including genetic variants in a Final Model containing age at primary cancer, sex, and cranial radiation therapy dose yielded an area under the curve of 0.81 (95% CI, 0.76 to 0.86), which was superior ( P = .002) to the Clinical Model (area under the curve, 0.73; 95% CI, 0.66 to 0.80). The prediction model was successfully validated. The sensitivity and specificity of predicting survivors of childhood cancer at highest or lowest risk of subsequent CNS tumors was 87.5% and 83.5%, respectively. Conclusion It is possible to identify survivors of childhood cancer at high or low risk for subsequent CNS tumors on the basis of genetic and clinical information. This information can be used to inform surveillance for early detection of subsequent CNS tumors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678343PMC
http://dx.doi.org/10.1200/JCO.2017.74.7444DOI Listing

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