Diagnostic Strategies and Algorithms for Investigating Cancer Predisposition Syndromes in Children Presenting with Malignancy.
Linda RossiniCaterina DuranteSilvia BresolinEnrico OpocherAntonio MarzolloAlessandra BiffiPublished in: Cancers (2022)
In the past recent years, the expanding use of next-generation sequencing has led to the discovery of new cancer predisposition syndromes (CPSs), which are now known to be responsible for up to 10% of childhood cancers. As knowledge in the field is in constant evolution, except for a few "classic" CPSs, there is no consensus about when and how to perform germline genetic diagnostic studies in cancer-bearing children. Several clinical screening tools have been proposed to help identify the patients who carry higher risk, with heterogeneous strategies and results. After introducing the main clinical and molecular features of several CPSs predisposing to solid and hematological malignancies, we compare the available clinical evidence on CPS prevalence in pediatric cancer patients and on the most used decision-support tools in identifying the patients who could benefit from genetic counseling and/or direct genetic testing. This analysis highlighted that a personalized stepwise approach employing clinical screening tools followed by sequencing in high-risk patients might be a reasonable and cost-effective strategy in the care of children with cancer.
Keyphrases
- papillary thyroid
- childhood cancer
- young adults
- healthcare
- copy number
- squamous cell carcinoma
- machine learning
- ejection fraction
- lymph node metastasis
- deep learning
- palliative care
- end stage renal disease
- risk factors
- genome wide
- human immunodeficiency virus
- gene expression
- dna methylation
- men who have sex with men
- antiretroviral therapy
- dna repair
- hiv infected
- patient reported outcomes
- clinical practice
- high throughput sequencing