Mutational analysis using next generation sequencing in pediatric thyroid cancer reveals BRAF and fusion oncogenes are common.

BACKGROUND: We previously described mutation rates of BRAFV600E, RAS, RET-PTC and PAX8-PPARγ in pediatric subjects with well-differentiated thyroid cancer (WDTC). We expanded the cohort adding next-generation sequencing (NGS) and assessed genotype-phenotype correlations. METHODS: Single-center retrospective cohort examining thyroidectomy tissue blocks from consecutive pediatric WDTC patients between 2001 and 2015. Tissues were analyzed at Quest Diagnostics for BRAF, RAS mutations, RET-PTC and PAX8-PPARγ, and additional fusions, using standalone and NGS tests. WDTC included papillary (PTC), follicular (FTC) and follicular-variant PTC (FVPTC). RESULTS: We genotyped 46 samples (36 females). Mean age at diagnosis was 14.7 years and the cohort comprised of mostly Hispanic (60.9%) and Caucasian (26.1%) patients. Mean follow-up was 3.5 years. Genetic alterations (GA) were noted in 69.6%, with BRAFV600E (n = 11), and RET-PTC (n = 8) detected only in PTC. GA were detected in 2/7 FTC (1 PAX8-PPARγ, 1 NRAS) and 6/10 FVPTC (3 PAX8-PPARγ, 1 STRN-ALK, 1 BRAFK601E, 1 NRAS). Patients with BRAFV600E were predominantly Hispanic (81.8%) and >15 years (81.8%), whereas 87.5% RET-PTC and 50% other-fusions occurred in patients ≤15 years (p = 0.044). Of the 29 PTC patients, 82.8% had GA: BRAFV600E (37.9%), RET-PTC (27.6%), 17.2% other fusion-oncogenes (2 -ALK, 3 -NTRK). Non-RET fusions had the highest vascular invasion (100%, p = 0.042 vs RET-PTC) and frequent lymphatic invasion (80%). GA were most common in PTC with cervical metastasis. CONCLUSIONS: BRAFV600E was the most common single mutation, especially in older and Hispanic adolescents. All fusions combined are more common than BRAFV600E. NGS reveals a genetic basis in most pediatric WDTC, which may have implications for the role of molecular testing and systemic therapy.

Analytical validation and performance characteristics of a 48-gene next-generation sequencing panel for detecting potentially actionable genomic alterations in myeloid neoplasms.

Identification of genomic mutations by molecular testing plays an important role in diagnosis, prognosis, and treatment of myeloid neoplasms. Next-generation sequencing (NGS) is an efficient method for simultaneous detection of clinically significant genomic mutations with high sensitivity. Various NGS based in-house developed and commercial myeloid neoplasm panels have been integrated into routine clinical practice. However, some genes frequently mutated in myeloid malignancies are particularly difficult to sequence with NGS panels (e.g., CEBPA, CARL, and FLT3). We report development and validation of a 48-gene NGS panel that includes genes that are technically challenging for molecular profiling of myeloid neoplasms including acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). Target regions were captured by hybridization with complementary biotinylated DNA baits, and NGS was performed on an Illumina NextSeq500 instrument. A bioinformatics pipeline that was developed in-house was used to detect single nucleotide variations (SNVs), insertions/deletions (indels), and FLT3 internal tandem duplications (FLT3-ITD). An analytical validation study was performed on 184 unique specimens for variants with allele frequencies ≥5%. Variants identified by the 48-gene panel were compared to those identified by a 35-gene hematologic neoplasms panel using an additional 137 unique specimens. The developed assay was applied to a large cohort (n = 2,053) of patients with suspected myeloid neoplasms. Analytical validation yielded 99.6% sensitivity (95% CI: 98.9-99.9%) and 100% specificity (95% CI: 100%). Concordance of variants detected by the 2 tested panels was 100%. Among patients with suspected myeloid neoplasms (n = 2,053), 54.5% patients harbored at least one clinically significant mutation: 77% in AML patients, 48% in MDS, and 45% in MPN. Together, these findings demonstrate that the assay can identify mutations associated with diagnosis, prognosis, and treatment options of myeloid neoplasms even in technically challenging genes.