Approximately 8.5%-16.2% of childhood cancers are associated with a pathogenic/likely pathogenic germline variant-a prevalence that is likely to rise with improvements in phenotype recognition, sequencing, and variant validation. One highly informative, classical hereditary cancer predisposition syndrome is Li-Fraumeni syndrome (LFS), associated with germline variants in the TP53 tumor suppressor gene, and a >90% cumulative lifetime cancer risk. In seeking to improve outcomes for young LFS patients, we must improve the specificity and sensitivity of existing cancer surveillance programs and explore how to complement early detection strategies with pharmacology-based risk-reduction interventions. Here, we describe novel precision screening technologies and clinical strategies for cancer risk reduction. In particular, we summarize the biomarkers for early diagnosis and risk stratification of LFS patients from birth, noninvasive and machine learning-based cancer screening, and drugs that have shown the potential to be repurposed for cancer prevention.
Keyphrases
- papillary thyroid
- end stage renal disease
- machine learning
- squamous cell
- ejection fraction
- newly diagnosed
- childhood cancer
- public health
- chronic kidney disease
- peritoneal dialysis
- case report
- single cell
- copy number
- metabolic syndrome
- oxidative stress
- pregnant women
- adipose tissue
- risk assessment
- young adults
- patient reported outcomes
- deep learning
- dna damage
- big data
- human health