Evaluating patients with a personal or family history suggestive of a hereditary endocrine tumor syndrome
Establishing a diagnosis of a hereditary endocrine tumor syndrome, allowing for targeted surveillance based on associated risks
Identifying genetic variants associated with increased risk for endocrine tumors, allowing for predictive testing and appropriate screening of at-risk family members
This test utilizes next-generation sequencing to detect single nucleotide and copy number variants in 24 genes associated with hereditary endocrine cancer syndromes: AIP, APC (including promoters 1A and 1B), CDC73, CDKN1B, DICER1, FH, MAX, MEN1, NF1, PHOX2B, PRKAR1A, PTEN (including promoter), RET, SDHA, SDHAF2, SDHB, SDHC, SDHD, TMEM127, TP53, TSC1, TSC2, VHL, and WRN. For more information, see Method Description and Targeted Genes and Methodology Details for Hereditary Endocrine Cancer Panel.
Identification of a disease-causing variant may assist with diagnosis, prognosis, clinical management, familial screening, and genetic counseling for hereditary endocrine cancer syndromes.
Sequence Capture and Targeted Next-Generation Sequencing followed by Polymerase Chain Reaction (PCR) and Sanger Sequencing.
Thyroid cancer
Endocrine cancer
Neuroendocrine tumor
Hereditary endocrine cancer
Hereditary paraganglioma-pheochromocytoma
Paraganglioma
PGL
Pheochromocytoma
PCC
Pituitary adenoma
Cowden syndrome
Neurofibromatosis type I
Multiple endocrine neoplasia type 1
MEN1
Multiple endocrine neoplasia type 2
MEN2
Hereditary paraganglioma-pheochromocytoma syndrome
Tuberous sclerosis complex
Von Hippel Lindau syndrome
Carney complex
NextGen sequencing test
Varies
Customization of this panel and single gene analysis for any gene present on this panel are available. For more information see CGPH / Custom Gene Panel, Hereditary, Next-Generation Sequencing, Varies.
Targeted testing for familial variants (also called site-specific or known mutations testing) is available for the genes on this panel. For more information see FMTT / Familial Variant, Targeted Testing, Varies. To obtain more information about this testing option, call 800-533-1710.
Specimen preferred to arrive within 96 hours of collection.
Patient Preparation: A previous bone marrow transplant from an allogenic donor will interfere with testing. For instructions for testing patients who have received a bone marrow transplant, call 800-533-1710.
Specimen Type: Whole blood
Container/Tube:
Preferred: Lavender top (EDTA) or yellow top (ACD)
Acceptable: Any anticoagulant
Specimen Volume: 3 mL
Collection Instructions:
1. Invert several times to mix blood.
2. Send whole blood specimen in original tube. Do not aliquot.
Specimen Stability Information: Ambient (preferred) 4 days/Refrigerated
Additional Information: To ensure minimum volume and concentration of DNA is met, the preferred volume of blood must be submitted. Testing may be canceled if DNA requirements are inadequate.
1. New York Clients-Informed consent is required. Document on the request form or electronic order that a copy is on file. The following documents are available:
-Informed Consent for Genetic Testing (T576)
-Informed Consent for Genetic Testing-Spanish (T826)
2. Molecular Genetics: Inherited Cancer Syndromes Patient Information (T519)
3. If not ordering electronically, complete, print, and send a Oncology Test Request (T729) with the specimen.
1 mL
Specimen Type | Temperature | Time | Special Container |
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Varies | Varies |
Evaluating patients with a personal or family history suggestive of a hereditary endocrine tumor syndrome
Establishing a diagnosis of a hereditary endocrine tumor syndrome, allowing for targeted surveillance based on associated risks
Identifying genetic variants associated with increased risk for endocrine tumors, allowing for predictive testing and appropriate screening of at-risk family members
This test utilizes next-generation sequencing to detect single nucleotide and copy number variants in 24 genes associated with hereditary endocrine cancer syndromes: AIP, APC (including promoters 1A and 1B), CDC73, CDKN1B, DICER1, FH, MAX, MEN1, NF1, PHOX2B, PRKAR1A, PTEN (including promoter), RET, SDHA, SDHAF2, SDHB, SDHC, SDHD, TMEM127, TP53, TSC1, TSC2, VHL, and WRN. For more information, see Method Description and Targeted Genes and Methodology Details for Hereditary Endocrine Cancer Panel.
Identification of a disease-causing variant may assist with diagnosis, prognosis, clinical management, familial screening, and genetic counseling for hereditary endocrine cancer syndromes.
Tumors occurring within the endocrine and neuroendocrine systems, including thyroid/parathyroid tumors, pituitary tumors, pheochromocytomas (PCC), and paragangliomas (PGL), may occasionally be caused by an underlying hereditary predisposition. Suspicion may be raised for a hereditary cause in families with a strong history of endocrine cancers, patients diagnosed with an endocrine cancer at an early age, patients with multiple primary endocrine cancer diagnoses, and patients with specific histological subtypes, such as medullary thyroid cancer.
The most common endocrine-related malignancy is thyroid cancer, with a lifetime risk of approximately 1.2%.(1,2) Papillary thyroid cancers are typically sporadic but can be seen in individuals or families with familial adenomatous polyposis (FAP) syndrome, caused by variants within the APC gene (cribriform-morular variant). Additionally, about 5% of cases of isolated papillary thyroid cancer cluster in a familial pattern; however, in most cases, no underlying genetic predisposition has yet been identified.(3-6)
Follicular and/or papillary thyroid cancers may be seen in families with PTEN hamartoma tumor syndrome (PHTS). Individuals with disease-causing PTEN variants have a 70-fold increased incidence of thyroid cancer compared to the general population.(7) Thyroid cancers with follicular or papillary features can also be seen in individuals with disease-causing DICER1 variants, as well as individuals with Carney complex, which is caused by disease-causing variants within the PRKAR1A gene.(8,9)
Approximately 25% of cases of medullary thyroid cancer (MTC) are caused by an inherited RET variant.(10) Some disease-causing RET variants are associated with only familial MTC, while others cause a syndrome called multiple endocrine neoplasia type 2 (MEN2). Individuals with MEN2 have a high risk for MTC and may also have other tumors of the endocrine/neuroendocrine system, including PGL, PCC, and parathyroid tumors.(11)
Parathyroid and pituitary tumors may be caused by disease-causing variants within MEN1, CDKN1B, and CDC73. The AIP gene is associated with hereditary predisposition for isolated pituitary adenomas.
PCC and PGL are rare neuroendocrine tumors, 30% of which may have an underlying hereditary predisposition.(12) The genes most frequently associated with increased risk for PGL/PCC are the succinate dehydrogenase-associated genes: SDHA, SDHAF2, SDHB, SDHC, and SDHD.
Germline alterations in the MAX gene are typically associated with increased risk for PCC, although some individuals have been identified with PGL. MAX variants occur in approximately 1% of patients with hereditary PGL/PCC syndromes.(13)
TMEM127 variants are most commonly associated with PCC and rarely PGL.(12) Alterations of TMEM127 account for approximately 2% of individuals with hereditary PGL/PCC (13).
Recent evidence suggests that disease-causing variants in FH increase risk for PGL/PCC.(14,15) Individuals with disease-causing FH variants also have a significantly increased risk for cutaneous or uterine leiomyomata and renal tumors.(16)
Alterations in VHL, NF1, and RET also increase risk for PGL/PCC in addition to other features and tumor types.(17)
The National Comprehensive Cancer Network and the American Cancer Society provide recommendations regarding the medical management of individuals with hereditary endocrine tumor syndromes.(17,18)
An interpretive report will be provided.
All detected variants are evaluated according to American College of Medical Genetics and Genomics recommendations.(19) Variants are classified based on known, predicted, or possible pathogenicity and reported with interpretive comments detailing their potential or known significance.
Clinical Correlations:
Test results should be interpreted in the context of clinical findings, family history, and other laboratory data. Misinterpretation of results may occur if the information provided is inaccurate or incomplete.
If testing was performed because of a clinically significant family history, it is often useful to first test an affected family member. Detection of a reportable variant in an affected family member would allow for more informative testing of at-risk individuals.
To discuss the availability of additional testing options or for assistance in the interpretation of these results, contact the Mayo Clinic Laboratories genetic counselors at 800-533-1710.
Technical Limitations:
Next-generation sequencing may not detect all types of genomic variants. In rare cases, false-negative or false-positive results may occur. The depth of coverage may be variable for some target regions; assay performance below the minimum acceptable criteria or for failed regions will be noted. Given these limitations, negative results do not rule out the diagnosis of a genetic disorder. If a specific clinical disorder is suspected, evaluation by alternative methods can be considered.
There may be regions of genes that cannot be effectively evaluated by sequencing or deletion and duplication analysis as a result of technical limitations of the assay, including regions of homology, high guanine-cytosine (GC) content, and repetitive sequences. Confirmation of select reportable variants will be performed by alternate methodologies based on internal laboratory criteria.
This test is validated to detect 95% of deletions up to 75 base pairs (bp) and insertions up to 47 bp. Deletions-insertions (delins) of 40 or more bp, including mobile element insertions, may be less reliably detected than smaller delins.
Deletion/Duplication Analysis:
This analysis targets single and multi-exon deletions/duplications; however, in some instances single exon resolution cannot be achieved due to isolated reduction in sequence coverage or inherent genomic complexity. Balanced structural rearrangements (such as translocations and inversions) may not be detected.
This test is not designed to detect low levels of mosaicism or to differentiate between somatic and germline variants. If there is a possibility that any detected variant is somatic, additional testing may be necessary to clarify the significance of results.
Genes may be added or removed based on updated clinical relevance. For the most up to date list of genes included in this test or detailed information regarding gene-specific performance and technical limitations, see Method Description or Targeted Genes and Methodology Details for Hereditary Endocrine Cancer Panel or contact a laboratory genetic counselor at 800-533-1710.
If the patient has had an allogeneic hematopoietic stem cell transplant or a recent blood transfusion, results may be inaccurate due to the presence of donor DNA. Call Mayo Clinic Laboratories for instructions for testing patients who have received a bone marrow transplant.
Reclassification of Variants:
Currently, it is not standard practice for the laboratory to systematically review previously classified variants on a regular basis. The laboratory encourages healthcare providers to contact the laboratory at any time to learn how the classification of a particular variant may have changed over time.
Variant Evaluation:
Evaluation and categorization of variants are performed using published American College of Medical Genetics and Genomics and the Association for Molecular Pathology recommendations as a guideline.(19) Other gene-specific guidelines may also be considered. Variants are classified based on known, predicted, or possible pathogenicity and reported with interpretive comments detailing their potential or known significance. Variants classified as benign or likely benign are not reported.
Multiple in silico evaluation tools may be used to assist in the interpretation of these results. The accuracy of predictions made by in silico evaluation tools is highly dependent upon the data available for a given gene, and periodic updates to these tools may cause predictions to change over time. Results from in silico evaluation tools should be interpreted with caution and professional clinical judgement.
1. Geeta L, O'Dorisio T, McDougall R, Weigel RJ: Cancer of the endocrine system: Thyroid cancer. In: Abeloff MD, Armitage JO, Niederhuber JE, Kastan MB, McKenna WG, eds. Abeloff's Clinical Oncology. 4th ed. Churchill Livingston; 2008
2. Surveillance Epidemiology and End Results Program: Cancer stat facts: Thyroid cancer. National Cancer Institute; 2018. Accessed April 26, 2024. Available at http://seer.cancer.gov/statfacts/html/thyro.html
3. Houlston RS, Stratton MR: Genetics of non-medullary thyroid cancer. QJM. 1995;88(10):685-693
4. Loh KC: Familial nonmedullary thyroid carcinoma: a meta-review of case series. Thyroid. 1997;7(1):107-113. doi:10.1089/thy.1997.7.107
5. Malchoff CD, Malchoff DM. Familial nonmedullary thyroid carcinoma. Semin Surg Oncol. 1999;16(1):16-18.
6. Malchoff CD, Malchoff DM. The genetics of hereditary nonmedullary thyroid carcinoma. J Clin Endocrinol Metab. 2002;87(6):2455-2459
7. Ngeow J, Mester J, Rybicki LA, Ni Y, Milas M, Eng C. Incidence and clinical characteristics of thyroid cancer in prospective series of individuals with Cowden and Cowden-like syndrome characterized by germline PTEN, SDH, or KLLN alterations. J Clin Endocrinol Metab. 2011;96(12):E2063-71
8. Stratakis CA, Raygada M: Carney complex. In: Adam MP, Everman DB, Mirzaa GM, et al, eds. GeneReviews [Internet]. University of Washington, Seattle; 2003. Updated September 21, 2023. Accessed April 26, 2024. Available at www.ncbi.nlm.nih.gov/books/NBK1286/
9. Schultz KAP, Stewart DR, Kamihara J, et al. DICER1 tumor predisposition. In: Adam MP, Everman DB, Mirzaa GM, et al, eds. GeneReviews [Internet]. University of Washington, Seattle; 2014. Updated April 30, 2020. Accessed April 26, 2024. Available at www.ncbi.nlm.nih.gov/books/NBK196157/
10. Shepet K, Alhefdhi A, Lai N, Mazeh H, Sippel R, Chen H: Hereditary medullary thyroid cancer: age-appropriate thyroidectomy improves disease-free survival. Ann Surg Oncol. 2013 May;20(5):1451-1455
11. Eng C: Multiple endocrine neoplasia type 2. In: Adam MP, Everman DB, Mirzaa GM, et al, eds. GeneReviews [Internet]. University of Washington, Seattle; 1999. Updated August 10, 2023. Accessed April 26, 2024. Available at www.ncbi.nlm.nih.gov/books/NBK1257/
12. Else T, Greenberg S, Fishbein L: Hereditary paraganglioma-pheochromocytoma syndromes. In: Adam MP, Everman DB, Mirzaa GM, et al, eds. GeneReviews [Internet]. University of Washington, Seattle; 2008, Updated September 21, 2023. Accessed April 26, 2024. Available at www.ncbi.nlm.nih.gov/books/NBK1548/
13. Bausch B, Schiavi F, Ni Y, et al: European-American-Asian Pheochromocytoma-Paraganglioma Registry Study Group. Clinical characterization of the pheochromocytoma and paraganglioma susceptibility genes SDHA, TMEM127, MAX, and SDHAF2 for gene-informed prevention. JAMA Oncol. 2017;3(9):1204-1212
14. Udager AM, Magers MJ, Goerke DM, et al. The utility of SDHB and FH immunohistochemistry in patients evaluated for hereditary paraganglioma-pheochromocytoma syndromes. Hum Pathol. 2018;71:47-54. doi:10.1016/j.humpath.2017
15. Castro-Vega LJ, Buffet A, De Cubas AA, et al. Germline mutations in FH confer predisposition to malignant pheochromocytomas and paragangliomas. Hum Mol Genet. 2014;23(9):2440-2446
16. Kamihara J, Schultz KA, Rana HQ. FH Tumor predisposition syndrome. In: Adam MP, Everman DB, Mirzaa GM, et al, eds. GeneReviews [Internet]. University of Washington, Seattle; 2006. Updated August 13, 2020. Accessed April 26, 2024. Available at www.ncbi.nlm.nih.gov/books/NBK1252/
17. Shah MH, Goldner WS, Halfdanarson TR, et al. NCCN Guidelines Insights: Neuroendocrine and adrenal tumors, version 2.2018. J Natl Compr Canc Netw. 2018;16(6):693-702
18. Haddad RI, Nasr C, Bischoff L, et al. NCCN Guidelines Insights: Thyroid carcinoma, version 2.2018. J Natl Compr Canc Netw. 2018;16(12):1429-1440
19. Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405-424
Next-generation sequencing (NGS) and/or Sanger sequencing are performed to test for the presence of variants in coding regions and intron/exon boundaries of the genes analyzed, as well as some other regions that have known disease-causing variants. The human genome reference GRCh37/hg19 build was used for sequence read alignment. At least 99% of the bases are covered at a read depth over 30X. Sensitivity is estimated at above 99% for single nucleotide variants, above 94% for deletion-insertions (delins) less than 40 base pairs (bp), above 95% for deletions up to 75 bp and insertions up to 47 bp. NGS and/or a polymerase chain reaction (PCR)-based quantitative method is performed to test for the presence of deletions and duplications in the genes analyzed.
There may be regions of genes that cannot be effectively evaluated by sequencing or deletion and duplication analysis as a result of technical limitations of the assay, including regions of homology, high guanine-cytosine (GC) content, and repetitive sequences. For details regarding the targeted genes analyzed or specific gene regions not routinely covered see Targeted Genes and Methodology Details for Hereditary Endocrine Cancer Panel.(Unpublished Mayo method)
Confirmation of select reportable variants may be performed by alternate methodologies based on internal laboratory criteria.
Genes analyzed: AIP, APC (including promoters 1A and 1B), CDC73, CDKN1B, DICER1, FH, MAX, MEN1, NF1, PHOX2B, PRKAR1A, PTEN (including promoter), RET, SDHA, SDHAF2, SDHB, SDHC, SDHD, TMEM127, TP53, TSC1, TSC2, VHL, and WRN
Varies
This test was developed and its performance characteristics determined by Mayo Clinic in a manner consistent with CLIA requirements. It has not been cleared or approved by the US Food and Drug Administration.
81437
Test Id | Test Order Name | Order LOINC Value |
---|---|---|
ENDCP | Hereditary Endocrine Cancer Panel | In Process |
Result Id | Test Result Name |
Result LOINC Value
Applies only to results expressed in units of measure originally reported by the performing laboratory. These values do not apply to results that are converted to other units of measure.
|
---|---|---|
614707 | Test Description | 62364-5 |
614708 | Specimen | 31208-2 |
614709 | Source | 31208-2 |
614710 | Result Summary | 50397-9 |
614711 | Result | 82939-0 |
614712 | Interpretation | 69047-9 |
614713 | Resources | 99622-3 |
614714 | Additional Information | 48767-8 |
614715 | Method | 85069-3 |
614716 | Genes Analyzed | 48018-6 |
614717 | Disclaimer | 62364-5 |
614718 | Released By | 18771-6 |
Change Type | Effective Date |
---|---|
Test Changes - Specimen Information | 2024-12-02 |