Advertisement
American Association of Endocrine Surgeons| Volume 156, ISSUE 6, P1351-1358, December 2014

Preliminary whole-exome sequencing reveals mutations that imply common tumorigenicity pathways in multiple endocrine neoplasia type 1 patients

      Background

      Whole-exome sequencing studies have not established definitive somatic mutation patterns among patients with sporadic hyperparathyroidism (HPT). No sequencing has evaluated multiple endocrine neoplasia type 1 (MEN1)-related HPT. We sought to perform whole-exome sequencing in HPT patients to identify somatic mutations and associated biological pathways and tumorigenic networks.

      Methods

      Whole-exome sequencing was performed on blood and tissue from HPT patients (MEN1 and sporadic) and somatic single nucleotide variants (SNVs) were identified. Stop-gain and stop-loss SNVs were analyzed with Ingenuity Pathways Analysis (IPA). Loss of heterozygosity (LOH) was also assessed.

      Results

      Sequencing was performed on 4 MEN1 and 10 sporadic cases. Eighteen stop-gain/stop-loss SNV mutations were identified in 3 MEN1 patients. One complex network was identified on IPA: Cellular function and maintenance, tumor morphology, and cardiovascular disease (IPA score = 49). A nonsynonymous SNV of TP53 (lysine-to-glutamic acid change at codon 81) identified in a MEN1 patient was suggested to be a driver mutation (Cancer-specific High-throughput Annotation of Somatic Mutations; P = .002). All MEN1 and 3/10 sporadic specimens demonstrated LOH of chromosome 11.

      Conclusion

      Whole-exome sequencing revealed somatic mutations in MEN1 associated with a single tumorigenic network, whereas sporadic pathogenesis seemed to be more diverse. A somatic TP53 mutation was also identified. LOH of chromosome 11 was seen in all MEN1 and 3 of 10 sporadic patients.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Surgery
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Chandrasekharappa S.C.
        • Guru S.C.
        • Manickam P.
        • Olufemi S.E.
        • Collins F.S.
        • Emmert-Buck M.R.
        • et al.
        Positional cloning of the gene for multiple endocrine neoplasia-type 1.
        Science. 1997; 276: 404-407
        • Giusti F.
        • Cavalli L.
        • Cavalli T.
        • Brandi M.L.
        Hereditary hyperparathyroidism syndromes.
        J Clin Densitom. 2013; 16: 69-74
        • Ito T.
        • Igarashi H.
        • Uehara H.
        • Berna M.J.
        • Jensen R.T.
        Causes of death and prognostic factors in multiple endocrine neoplasia type 1: a prospective study comparison of 106 MEn1/Zollinger-Ellison Syndrome Patients with 1613 literature MEN1 patients with or without pancreatic endocrine tumors.
        Medicine. 2013; 92: 135-181
        • Horiuchi K.
        • Okamoto T.
        • Iihara M.
        • Tsukada T.
        An analysis of genotype–phenotype correlations and survival outcomes in patients with primary hyperparathyroidism caused by multiple endocrine neoplasia type 1: the experience at a single institution.
        Surg Today. 2013; 43: 894-899
        • Calender A.
        Molecular genetics of neuroendocrine tumors.
        Digestion. 2000; 62: 3-18
        • Jensen R.T.
        • Berna M.J.
        • Bingham D.B.
        • Norton J.A.
        Inherited pancreatic endocrine tumor syndromes: advances in molecular pathogenesis, diagnosis, management and controversies.
        Cancer. 2008; 113: 1807-1843
        • Guo S.S.
        • Sawicki M.P.
        Molecular and genetic mechanisms of tumorigenesis in multiple endocrine neoplasia type-1.
        Mol Endocrinol. 2001; 15: 1653-1664
        • Cromer M.K.
        • Starker L.F.
        • Choi M.
        • Udelsman R.
        • Nelson-Williams C.
        • Lifton R.P.
        • et al.
        Identification of somatic mutations in parathyroid tumors using whole-exome sequencing.
        J Clin Endocrinol Metab. 2012; 97: E1774-E1781
        • Kouvaraki M.A.
        • Lee J.E.
        • Shapiro S.E.
        • Gagel R.F.
        • Sherman S.I.
        • Sellin R.V.
        • et al.
        Genotype-phenotype analysis in multiple endocrine neoplasia type 1.
        Arch Surg. 2002; 137: 641-647
        • Carling T.
        Multiple endocrine neoplasia syndrome: genetic basis for clinical management.
        Curr Opin Oncol. 2005; 17: 7-12
        • Falchetti A.
        • Marini F.
        • Luzi E.
        • Tonelli F.
        • Brand M.L.
        Multiple endocrine neoplasms.
        Best Pract Res Clin Rheumatol. 2008; 22: 149-163
        • Newey P.J.
        • Nesbit M.A.
        • Rimmer A.J.
        • Attar M.
        • Head R.T.
        • Christie P.T.
        • et al.
        Whole-exome sequencing studies of nonhereditary (sporadic) parathyroid adenomas.
        J Clin Endocrinol Metab. 2012; 97: E1995-E2005
        • Subramaniam P.
        • Wilkinson S.
        • Shepherd J.J.
        P53 tumour suppressor gene expression in hyperparathyroidism.
        Aust N Z J Surg. 1996; 66: 302-304
        • Carling T.
        • Correa P.
        • Hessman O.
        • Hedberg J.
        • Skogseid B.
        • Lindberg D.
        • et al.
        Parathyroid MEN1 gene mutations in relation to clinical characteristics of nonfamilial primary hyperparathyroidism.
        J Clin Endocrinol Metab. 1998; 83: 2960-2963
        • Jiao Y.
        • Shi C.
        • Edil B.H.
        • de Wilde R.F.
        • Klimstra D.S.
        • Maitra A.
        • et al.
        DAXX/ATRX, MEN1, and mTOR pathway s genes are frequently altered in pancreatic neuroendocrine tumors.
        Science. 2011; 331: 1199-1203
        • Li H.
        • Durbin R.
        Fast and accurate short read alignment with Burrows-Wheeler transform.
        Bioinformatics. 2009; 25: 1754-1760
        • McKenna A.
        • Hanna M.
        • Banks E.
        • Sivachenko A.
        • Cibulskis K.
        • Kernystsky A.
        • et al.
        The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.
        Genome Res. 2010; 20: 1297-1303
        • Cibulskis K.
        • Lawrence M.S.
        • Carter S.L.
        • Sivachenko A.
        • Jaffe D.
        • Sougnez C.
        • et al.
        Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples.
        Nat Biotechnol. 2013; 31: 213-219
        • Wang K.
        • Li M.
        • Hakonarson H.
        ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.
        Nucleic Acids Res. 2010; 38: e164
        • Liu X.
        • Jian X.
        • Boerwinkle E.
        dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.
        Hum Mutat. 2013; 34: E2393-E2402
        • Forbes S.A.
        • Bindal N.
        • Bamford S.
        • Cole C.
        • Kok C.Y.
        • Beare D.
        • et al.
        COSMIC: mining complete cancer genomes in the catalogue of somatic mutations in cancer.
        Nucleic Acids Res. 2011; 39: D945-D950
        • San Lucas F.A.
        • Wang G.
        • Scheet P.
        • Peng B.
        Integrated annotation and analysis of genetic variants from next-generation sequencing studies with variant tools.
        Bioinformatics. 2012; 28: 421-422
        • Douville C.
        • Carter H.
        • Kim R.
        • Niknafs N.
        • Diekhans M.
        • Stenson P.D.
        • et al.
        CRAVAT: cancer-related analysis of variants toolkit.
        Bioinformatics. 2013; 29: 647-648
        • Kramer A.
        • Green J.
        • Pollard Jr., J.
        • Tugendreich S.
        Causal analysis approaches in Ingenuity Pathway Analysis.
        Bioinformatics. 2014; 30: 523-530
        • Vattathil S.
        • Scheet P.
        Haplotype-based profiling of subtle allelic imbalance with SNP arrays.
        Genome Res. 2013; 23: 152-158