2009
DOI: 10.1016/s1470-2045(09)70164-0
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An immunohistochemical procedure to detect patients with paraganglioma and phaeochromocytoma with germline SDHB, SDHC, or SDHD gene mutations: a retrospective and prospective analysis

Abstract: Summary Background Phaeochromocytomas and paragangliomas are neuro-endocrine tumours that occur sporadically and in several hereditary tumour syndromes, including the phaeochromocytoma–paraganglioma syndrome. This syndrome is caused by germline mutations in succinate dehydrogenase B (SDHB), C (SDHC), or D (SDHD) genes. Clinically, the phaeochromocytoma–paraganglioma syndrome is often unrecognised, although 10–30% of apparently sporadic phaeochromocytomas and paragangliomas harbour germline SDH-gene mutations.… Show more

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Cited by 476 publications
(420 citation statements)
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“…In addition, the mutations were associated with the immunohistochemical results of the SDHA and SDHB staining because this technique has been proven to reliably predict the presence of an SDH mutation: A negative SDHB staining is predictive of the presence of a mutation in any SDH subunit, with a sensitivity of 100% and a specificity of 84%, whereas a negative SDHA staining predicts an SDHA mutation with a sensitivity of 100% and a specificity of 97%. 34,35 The IHC results were available for 145 previously reported mutations. In the vast majority (134, or 92%), the IHC pattern was consistent with the prediction obtained by bioinformatics (Supplementary Table S1 online).…”
Section: In Silico Analysis Of the Functional Impact Of Sdh Mutationsmentioning
confidence: 99%
“…In addition, the mutations were associated with the immunohistochemical results of the SDHA and SDHB staining because this technique has been proven to reliably predict the presence of an SDH mutation: A negative SDHB staining is predictive of the presence of a mutation in any SDH subunit, with a sensitivity of 100% and a specificity of 84%, whereas a negative SDHA staining predicts an SDHA mutation with a sensitivity of 100% and a specificity of 97%. 34,35 The IHC results were available for 145 previously reported mutations. In the vast majority (134, or 92%), the IHC pattern was consistent with the prediction obtained by bioinformatics (Supplementary Table S1 online).…”
Section: In Silico Analysis Of the Functional Impact Of Sdh Mutationsmentioning
confidence: 99%
“…Genetic testing algorithms based on clinical features (that is, tumour localization, malignancy and syndromic characteristics), biochemical profile (that is, types of catecholamines secreted by the tumour) or immunohistochemistry pattern have been developed to aid prioritizing genetic testing of a single or a few PPGLs susceptibility genes [5][6][7][8][9] . Although this approach is helpful for patients in whom a pathogenic driver mutation is identified promptly, it can be cumbersome when this quick identification does not happen, as the analysis must be extended to the remaining susceptibility genes.…”
mentioning
confidence: 99%
“…14,[27][28][29] A similar genotype/immunophenotype correlation has also been noted in paragangliomas, with mutations in SDHB, SDHC, or SDHD, leading to loss of SDHB expression. 13,30 Recently, loss of expression of both SDHA and SDHB by immunohistochemistry in paragangliomas was shown to correlate specifically with mutations in the SDHA gene. 31 In this study, we sought to determine whether immunohistochemistry for SDHA in SDHdeficient GISTs could similarly predict loss-offunction mutations in SDHA.…”
mentioning
confidence: 99%