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Erste Ergebnisse der bildzytometrischen DNS-Analyse zur Beurteilung der Prognose beim papillaren Schilddrüsenkarzinom

First results of image cytometric DNS-analysis as a prognostic parameter to papillary thyroid carcinoma

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Summary

In this study we analysed DNA-ploidy as a potential prognostic parameter in papillary thyreoid carcinoma. Paraffin embedded histological material, obtained by resection from 19 patients with a papillary thyreoid carcinoma, was selected for analysis. Tumor areas within the paraffin-embedded material were identified by HE-stained reference sections. One 50 pin section was dewaxed, rehydrated and mechanically and enzymatically prepared to form a suspension of 10,000 cells/ml. 1 ml of the suspension, which contained bare nuclei with small rests of cytoplasma, was centrifuged on glass slides. The fixed nuclei were air-dried and stained by Feulgen SITS technique, which allows for the quantitative measurement of DNA. The DNA analysis was carried out with a computer-controlled single-cell cytophotometry. In contrast to using flow cytometry, only the tumor cells were measured by image-cytometry. Overlapping nuclei, dirt and other artifacts as well as inflammatory cells were efficiently eliminated. With DNA image-cytometry, we could differentiate between diploid (n = 13) and aneuploid (n = 6) tumors. Best prognosis with a survival rate of 92% after 103 months had patients with diploid tumors in contrast to patients with aneuploid tumors who did not survive more than 72 months.

Zusammenfassung

Bei 19 Patienten, bei denen wegen eines papillären Schilddrüsenkarzinomes eine Resektion durchgeführt worden war, wurde neben der TNM-Klassifikation und den üblichen morphologischen Beurteilungskriterien zusätzlich eine bildanalytische DNS-Zytometrie durchgeführt. Es fanden sich 13 diploide and 6 aneuploide Tumoren. Bei Patienten mit diploiden Tumoren betrug die rezidivfreie Überlebensrate Bowie die Überlebensrate nach 103 Monaten 84% bzw. 92%, wäh-rend 3 von 6 Patienten mit nichtdiploiden Tumoren in nerhalb von 70 Monaten ein Rezidiv erlitten. Zwischen dem DNS-Gehalt der Tumoren einerseits and dem Tumorstadium, der pT-Einteilung, dem Vorhandensein von Lymphknotenmetastasen and einer tumorbedingten Gefäβinfiltration andererseits fand sich kein Zusammenhang.

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Literatur

  1. Bacourt F, Asselain B, Savoiet JC et al. (1986) Multifactorial study of prognostic factors in differentiated thyroid carcinoms and a re-evaluation of the importance of age. Br J Surg 73:274–277

    Google Scholar 

  2. Bäckdahl M, Carstensen J, Auer G, Tallroth E (1986) Statistical evaluation of the prognostic value of nuclear DNA content in papillary, follicular, and medullary thyroid tumors. World J Surg 10:974–980

    Google Scholar 

  3. Böttger Th, Ungeheuer E (1988) Struma maligna — Eigene Erfahrungen und primäre Ergebnisse. Krankenhausarzt 61:615–620

    Google Scholar 

  4. Böttger Th, Klupp J, Gabbert H, Junginger Th (1991) Prognostisch relevante Faktoren beim papillären Schilddrüsenkarzi-nom. Med Klin (im Druck)

  5. Böttger Th, Störkel S, Stöckle M et al (1991) Bildanalytische DNS-Cytometrie zur Prognosebeurteilung nach Oesophaguscarcinomresektion. Chirurg (im Druck)

  6. Böttger Th, Störkel S, Stöckle M, Gerber B, Junginger Th (1991) Bildanalytische DNS-Cytometrie - Eine Möglichkeit zur Beurteilung der Prognose nach Resektion von ductalen Pankreascarcinomen? Chirurg (im Druck)

  7. Bondeson L, Ljungberg O (1984) Occult papillary thyroid carcinoma in the young and the aged cancer. Cancer 53:1790–1792

    Google Scholar 

  8. Cady C, Rossi R, Silverman M, Worl M (1985) Further evidence of the validity of risk group definition in differentiated thyreoid carcinoma. Surgery 98:1171–1178

    Google Scholar 

  9. Carcangiu ML, Zampi G, Pupi A, Castagnoli A, Rosai J (1985) Papillary carcinoma of the thyroid. Cancer 55:805–828

    CAS  PubMed  Google Scholar 

  10. Cohn K, Bäckdahl M, Forsslund G et al (1984) Prognostic value of nuclear DNA content in papillary thyroid carcinoma. World J Sur 8:474–480

    Google Scholar 

  11. Cusick EL, MacJntosh CA, Krukowski ZH, Ewen SWB, Matheson NA (1990) Comparison of flow cytometry in papillary thyroid carcinoma. Br J Surg 77:913–916

    Google Scholar 

  12. Driel-Kulker AMJ v, Mesker WE, Velzen JV, Tanke HJ, Feichtinger J, Ploem JS (1985) Preparation of monolayer smears from paraffin embedded tissue for image cytometry. Cytometry 6:268

    Google Scholar 

  13. Driel-Kulker AMJ v, Ploem JS (1982) The use of Leytas in analytical and quantitative cytology. IEEE transactions on biomedical engineering. Vol BME-29, 2:92

    Google Scholar 

  14. Emdin SO, Stenling R, Roos G (1987) Prognostic value of DNA content in colorectal carcinoma. Cancer 60:82

    Google Scholar 

  15. Hay JD, Grant LS, Taylor WF, McConahey WM (1988) Ipsilateral lobectomy versus bilateral lobar resection in papillary thyroid carcinoma: a retrospective analaysis of surgical outcome using a novel prognostic scoring system. Surgery 102:1088–1095

    Google Scholar 

  16. Joensuu H, Klemi P, Eerola E, Tuominen J (1986) Influence of cellular DNA content on survival in different thyroid cancer. Cancer 58:2462–2467

    Google Scholar 

  17. Katzetazin K, Saito T, Kobayashi M (1989) Flow cytometric analysis of nuclear DNA content in esophageal cancer. Cancer 64:887

    Google Scholar 

  18. Kerr DJ, Burt AD, Boyle P, MacFarlane GJ, Storer AM, Brewin TB (1986) Prognostic factors in thyroid tumours. Br J Cancer 54:475–482

    Google Scholar 

  19. Mazzaferri EL, Young RY (1981) Papillary thyreoid carcinoma: a 10 years follow-up report of the impact of therapy in 576 patients. J Am Med Assoc 70:511

    Google Scholar 

  20. Meyer F (1979) Iterative image transformation for automative screening of cervical smears. J Histochem Cystochem 27:128

    Google Scholar 

  21. Sasaki K, Hashimoto T, Kawachino K (1988) Intratumoral regional differences in DNA ploidy of gastrointestinal carcinomas. Cancer 62:2569

    Google Scholar 

  22. Schröder S, Dralle H, Rehpenning W, Böcker W (1987) Prognosekriterien des papillären Schilddrüsencarcinoms. Langenbecks Arch Chir 371:263–280

    Google Scholar 

  23. Stöckle M, Tanke HJ, Voges G, Riedmiller H, Hohenfellner R (1989) DNA-histogramm of invasive bladder carcinoma: comparison of flow cytometry and automated image analysis. In: Rübben J, Jacobi HG, Jochan M (eds) Investigative urology 3. Springer, Berlin Heidelberg New York, pp 107–114

    Google Scholar 

  24. Tanke HJ, van Ingen EM, Ploem JS (1974) Acriflavine-Feulgen stilbene staining: a procedure for automated cervical cytology with a television based system (Leytas). J Histochem Cytochem 27:84–86

    Google Scholar 

  25. Teodoli L, Tirindelli-Dauesi D, Cordelli E (1986) Potential prognostic significance of cytometrically determined DNA abnormality in GI tract human tumors. Ann NY Acad Sci 468:291

    Google Scholar 

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Böttger, T., Gabbert, H., Stöckle, M. et al. Erste Ergebnisse der bildzytometrischen DNS-Analyse zur Beurteilung der Prognose beim papillaren Schilddrüsenkarzinom. Langenbecks Arch Chir 376, 158–162 (1991). https://doi.org/10.1007/BF00250341

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  • DOI: https://doi.org/10.1007/BF00250341

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