Skip to main content
Log in

Immunphänotypische Charakterisierung von Speicheldrüsentumoren unter Verwendung von Gewebe-Micro-Arrays

Immunohistochemic characterization of salivary gland tumors with tissue micro-arrays

  • Schwerpunkt: Myoepitheliale Tumoren
  • Published:
Der Pathologe Aims and scope Submit manuscript

Zusammenfassung

Systematische Analysen zur Gen- und Proteinexpression bei Speicheldrüsentumoren sind Voraussetzung für die Identifizierung tumorassoziierter Gene. Aus dem Hamburger Speicheldrüsenregister standen Proben in ausreichender Menge und Vielfalt zur Verfügung, sodass Gewebemikroarrays („tissue micro-array“/TMA) hergestellt werden konnten. Ziel war es, zu untersuchen, inwieweit TMA für die Speicheldrüsentumordiagnostik und -forschung einsetzbar sind. In der Studie wurden überwiegend Antikörper eingesetzt, die auch routinemäßig zur Absicherung der Diagnose verwendet werden.

Epitheliale Marker ließen keine tumortypspezifische Charakterisierung zu. Myoepitheliale Marker eigneten sich dagegen zur Abgrenzung biphasischer Tumoren von rein epithelialen Tumoren. Der Amylasenachweis in Azinuszellkarzinomen sowie der Nachweis von Steroidrezeptoren in diesen und anderen Speicheldrüsentumoren haben in Verbindung mit der Expression von Transkriptionsfaktoren, Tumormarkern und der Proliferationsrate bei malignen Speicheldrüsentumoren Expressionsprofile ergeben, die diagnostisch und klinisch relevant sein können und/oder eine Grundlage für weiterführende, insbesondere molekulare Untersuchungen sind.

Abstract

Systematic analysis of gene expression in salivary gland tumors is necessary to identify genes associated with specific tumor types. From the salivary gland register of the University Hospital Hamburg-Eppendorf sufficient samples of various tumors were available to generate Tissue Micro-Arrays (TMA). In light of the considerable heterogeneity of salivary gland tumors, this study was aimed at evaluating the suitability of TMA in salivary gland diagnostics and research.

Epithelial antigens are not sufficient for a tumortype-specific characterization. Myoepithelial markers are suitable for distinguishing biphasic tumor types from purely epithelial tumors. The detection of amylase in acinic cell carcinomas, and the detection of steroid hormone receptors in these and other malignant salivary gland tumors particularly in combination with the expression of transcription factors, oncogenes and proliferation associated antigens result in characteristic expression profiles. These may prove to be valuable for further investigations, especially on the molecular level.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1
Abb. 2
Abb. 3
Abb. 4
Abb. 5
Abb. 6
Abb. 7
Abb. 8
Abb. 9

Literatur

  1. Aigner T, Neureiter D, Völker U et al. (1998) Epithelial-mesenchymal transdifferentiation and extracellular matrix gene expression in pleomorphic adenomas of the parotid salivary gland. J Pathol 186:178–185

    Article  PubMed  Google Scholar 

  2. Astrom AK, Voz ML, Kas K et al. (1999) Conserved mechanism of PLAG1 activation in salivary gland tumors with and without chromosome 8q12 abnormalities: identification of SII as a new fusion partner gene. Cancer Res 59:918–923

    PubMed  Google Scholar 

  3. Auclair PL, Ellis GL, Gnepp DR et al. (1991) Salivary gland neoplasms: general considerations. In: Ellis GL, Auclair PL, Gnepp DR (eds) Surgical pathology of the salivary glands. WB Saunders, Philadelphia, pp 135–164

  4. Boonyaratanakornkit V, Melvin V, Prendergast P et al. (1998) High-mobility group chromatin proteins 1 and 2 functionally interact with steroid hormone receptors to enhance their DNA binding in vitro and transcriptional activity in mammalian cells. Mol Cell Biol 18:4471–4487

    PubMed  Google Scholar 

  5. Chen B, van den Brekel MW, Buschers W et al. (2003) Validation of tissue array technology in head and neck squamous cell carcinoma. Head Neck 25:922–930

    Article  PubMed  Google Scholar 

  6. Eneroth CM (1971) Salivary gland tumors in the parotid gland, submandibular gland, and the palate region. Cancer 27:1415–1418

    PubMed  Google Scholar 

  7. Eveson JW, Cawson RA (1985 a) Salivary gland tumours. A review of 2410 cases with particular reference to histological types, site, age and sex distribution. J Pathol 146:51–58

    Article  PubMed  Google Scholar 

  8. Eveson JW, Cawson RA (1985 b) Tumours of the minor (oropharyngeal) salivary glands: a demographic study of 336 cases. J Oral Pathol 14:500–509

    PubMed  Google Scholar 

  9. Foote FW Jr, Frazell EL (1953) Tumors of the major salivary glands. Cancer 6:1065–1133

    PubMed  Google Scholar 

  10. Geurts JM, Schoenmakers EF, Roijer E et al. (1998) Identification of NFIB as recurrent translocation partner gene of HMGIC in pleomorphic adenomas. Oncogene 16:865–872

    Article  PubMed  Google Scholar 

  11. Hoos A, Urist MJ, Stojadinovic A et al. (2001) Validation of tissue microarrays for immunohistochemical profiling of cancer specimens using the example of human fibroblastic tumors. Am J Pathol 158:1245–1251

    PubMed  Google Scholar 

  12. Iwafuchi H, Mori N, Takahashi T, Yatabe Y (2004) Phenotypic composition of salivary gland tumors: an application of principle component analysis to tissue microarray data. Mod Pathol 17:803–810

    Article  PubMed  Google Scholar 

  13. Kas K, Voz ML, Roijer E et al. (1997) Promoter swapping between the genes for a novel zinc finger protein and beta-catenin in pleiomorphic adenomas with t(3;8)(p21;q12) translocations [published erratum appears in Nat Genet 1997 15:411]. Nat Genet 15:170–174

    Article  PubMed  Google Scholar 

  14. Milanes-Yearsley M, Hammond ME, Pajak TF et al. (2002) Tissue micro-array: a cost and time-effective method for correlative studies by regional and national cancer study groups. Mod Pathol 15:1366–1373

    Article  PubMed  Google Scholar 

  15. Onate SA, Prendergast P, Wagner JP et al. (1994) The DNA-bending protein HMG-1 enhances progesterone receptor binding to its target DNA sequences. Mol Cell Biol 14:3376–3391

    PubMed  Google Scholar 

  16. Packeisen J, Korsching E, Herbst H et al. (2003) Demystified ... tissue microarray technology. Mol Pathol 56:198–204

    Article  PubMed  Google Scholar 

  17. Romine LE, Wood JR, Lamia LA et al. (1998) The high mobility group protein 1 enhances binding of the estrogen receptor DNA binding domain to the estrogen response element. Mol Endocrinol 12:664–674

    Article  PubMed  Google Scholar 

  18. Schraml P, Kononen J, Bubendorf L et al. (1999) Tissue microarrays for gene amplification surveys in many different tumor types. Clin Cancer Res 5:1966–1975

    PubMed  Google Scholar 

  19. Schraml P, Schwerdtfeger G, Burkhalter F et al. (2003) Combined array comparative genomic hybridization and tissue microarray analysis suggest PAK1 at 11q13.5-q14 as a critical oncogene target in ovarian carcinoma. Am J Pathol 163:985–992

    PubMed  Google Scholar 

  20. Seifert G, Miehlke A, Haubrich J, Chilla R (1986) Diseases of the salivary glands: pathology — diagnosis — treatment — facial nerve surgery. Thieme, Stuttgart, pp 182–193

    Google Scholar 

  21. Soini Y, Kamel D, Nuorva K et al. (1992) Low p53 protein expression in salivary gland tumours compared with lung carcinomas. Virchows Arch A Pathol Anat Histopathol 421:415–420

    Article  PubMed  Google Scholar 

  22. Verrier CS, Roodi N, Yee CJ et al. (1997) High-mobility group (HMG) protein HMG-1 and TATA-binding protein-associated factor TAF(II)30 affect estrogen receptor-mediated transcriptional activation. Mol Endocrinol 11:1009–1019

    Article  PubMed  Google Scholar 

  23. Zarbo RJ (2002) Salivary gland neoplasia: a review for the practicing pathologist. Mod Pathol 15:298–323

    Article  PubMed  Google Scholar 

Download references

Danksagung

Die Arbeiten wurden durch Zuwendungen der Hamburger Stiftung zur Förderung der Krebsbekämpfung (157), der Deutschen Forschungsgemeinschaft (RO 2081/1) und der Medizinischen Fakultät Münster (IMF HU120115) gefördert.

Interessenkonflikt:

Keine Angaben

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. Löning.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Röser, K., Jäkel, K.T., Herbst, H. et al. Immunphänotypische Charakterisierung von Speicheldrüsentumoren unter Verwendung von Gewebe-Micro-Arrays. Pathologe 26, 345–352 (2005). https://doi.org/10.1007/s00292-005-0777-y

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00292-005-0777-y

Schlüsselwörter

Keywords

Navigation