CPT® Code 81437

Hereditary neuroendocrine tumor-related disorders (eg, medullary thyroid carcinoma, parathyroid carcinoma, malignant pheochromocytoma or paraganglioma), genomic sequence analysis panel, 5 or more genes, interrogation for sequence variants and copy number variants

The CPT® Code 81437 pertains to molecular genetic testing specifically designed to identify hereditary neuroendocrine tumor-related disorders. These disorders include conditions such as medullary thyroid carcinoma, parathyroid carcinoma, malignant pheochromocytoma, and paraganglioma. The testing involves a genomic sequence analysis panel that examines five or more genes for sequence variants and copy number variants. Neuroendocrine tumors are known to secrete various hormones, including serotonin and histamine, which can lead to a range of symptoms and complications. The panel includes critical genes such as MAX, SDHB, SDHC, SDHD, TMEM127, and VHL, each associated with specific tumor types and syndromes. For instance, mutations in the MAX gene, located on chromosome 7, are linked to pheochromocytoma, while the SDHB, SDHC, and SDHD genes are implicated in hereditary paraganglioma-pheochromocytoma and gastrointestinal stromal tumors (GIST), as well as Carney-Stratakis syndrome. The VHL gene mutations are known to cause von Hippel-Lindau disease, which is also associated with pheochromocytomas. The testing process typically involves collecting whole blood samples, which are then analyzed using polymerase chain reaction (PCR) techniques combined with DNA sequencing. This method allows for the enrichment of targeted gene segments through capture hybridization, followed by massively parallel sequencing or microarray analysis to detect mutations. The analysis focuses on identifying genetic markers and variations, including point mutations and single nucleotide polymorphisms, which can provide insights into the genetic basis of these disorders. Various techniques are employed to interrogate both sequence variants and copy number variants, aiding in the detection of large structural rearrangements and the interpretation of the effects of these genetic variants.