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

Publication ,  Journal Article
Wang, X; Sun, C-L; Hageman, L; Smith, K; Singh, P; Desai, S; Hawkins, DS; Hudson, MM; Mascarenhas, L; Neglia, JP; Oeffinger, KC; Ritchey, AK ...
Published in: J Clin Oncol
November 10, 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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Published In

J Clin Oncol

DOI

EISSN

1527-7755

Publication Date

November 10, 2017

Volume

35

Issue

32

Start / End Page

3688 / 3696

Location

United States

Related Subject Headings

  • X-ray Repair Cross Complementing Protein 1
  • Tumor Suppressor Protein p53
  • Risk Factors
  • Risk Assessment
  • Polymorphism, Single Nucleotide
  • Oncology & Carcinogenesis
  • Neoplasms, Radiation-Induced
  • Neoplasms
  • Male
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, X., Sun, C.-L., Hageman, L., Smith, K., Singh, P., Desai, S., … Bhatia, S. (2017). Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study. J Clin Oncol, 35(32), 3688–3696. https://doi.org/10.1200/JCO.2017.74.7444
Wang, Xuexia, Can-Lan Sun, Lindsey Hageman, Kandice Smith, Purnima Singh, Sunil Desai, Douglas S. Hawkins, et al. “Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study.J Clin Oncol 35, no. 32 (November 10, 2017): 3688–96. https://doi.org/10.1200/JCO.2017.74.7444.
Wang X, Sun C-L, Hageman L, Smith K, Singh P, Desai S, et al. Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study. J Clin Oncol. 2017 Nov 10;35(32):3688–96.
Wang, Xuexia, et al. “Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study.J Clin Oncol, vol. 35, no. 32, Nov. 2017, pp. 3688–96. Pubmed, doi:10.1200/JCO.2017.74.7444.
Wang X, Sun C-L, Hageman L, Smith K, Singh P, Desai S, Hawkins DS, Hudson MM, Mascarenhas L, Neglia JP, Oeffinger KC, Ritchey AK, Robison LL, Villaluna D, Landier W, Bhatia S. Clinical and Genetic Risk Prediction of Subsequent CNS Tumors in Survivors of Childhood Cancer: A Report From the COG ALTE03N1 Study. J Clin Oncol. 2017 Nov 10;35(32):3688–3696.

Published In

J Clin Oncol

DOI

EISSN

1527-7755

Publication Date

November 10, 2017

Volume

35

Issue

32

Start / End Page

3688 / 3696

Location

United States

Related Subject Headings

  • X-ray Repair Cross Complementing Protein 1
  • Tumor Suppressor Protein p53
  • Risk Factors
  • Risk Assessment
  • Polymorphism, Single Nucleotide
  • Oncology & Carcinogenesis
  • Neoplasms, Radiation-Induced
  • Neoplasms
  • Male
  • Humans