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Polygenic Risk Score Improves Risk Stratification and Prediction of Subsequent Thyroid Cancer after Childhood Cancer.

Nan Song1,2, Qi Liu3, Carmen L Wilson1

  • 1St. Jude Children's Research Hospital, Memphis, Tennessee.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
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Summary
This summary is machine-generated.

Polygenic risk scores (PRS) improve the prediction of subsequent thyroid cancer (STC) in childhood cancer survivors. Integrating PRS with clinical factors enhances risk stratification for STC surveillance.

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Area of Science:

  • Genetics and genomics
  • Cancer epidemiology
  • Clinical oncology

Background:

  • Subsequent thyroid cancer (STC) is a significant concern for childhood cancer survivors.
  • Evaluating genetic predispositions is crucial for understanding STC risk.

Purpose of the Study:

  • To assess the polygenic contributions to STC risk in childhood cancer survivors.
  • To determine the utility of a polygenic risk score (PRS) in improving STC risk prediction.

Main Methods:

  • A PRS was developed using 12 single nucleotide polymorphisms (SNPs) associated with thyroid cancer risk.
  • The PRS was evaluated for STC risk association in the St. Jude Lifetime Cohort (SJLIFE) and validated in the Childhood Cancer Survivor Study (CCSS).
  • A risk prediction model incorporating PRS and clinical factors was developed and validated.

Main Results:

  • The PRS was significantly associated with increased STC risk in both SJLIFE (RR=1.57) and CCSS (RR=1.52) cohorts.
  • Integrating PRS with clinical factors improved STC risk prediction model performance in SJLIFE (AUC 83.2% vs 82.1%) and CCSS (AUC 72.9% vs 70.6%).

Conclusions:

  • Polygenic risk scores significantly improve STC risk prediction in childhood cancer survivors.
  • The integration of PRS with clinical factors offers potential for optimizing STC screening strategies in survivorship care.