Bibliothek

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    ISSN: 1432-0843
    Schlagwort(e): Key words Mitotic index ; Chemotherapy ; Sensitivity ; SRCA ; Morphometry
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Medizin
    Notizen: Abstract The subrenal capsule assay (SRCA) is used in clinical oncology to assess the sensitivity of individual malignant tumors to various anticancer agents and their combinations. Mitotic indices reflect cancer cell proliferation and have prognostic value in epithelial neoplasms, including ovarian carcinoma. We combined the two tests (SRCA, mitotic index) by evaluating the numbers of mitotic figures per square millimeter of neoplastic epithelium (M/V) in paraffin-embedded tumor samples after SRCA. The M/V index was compared with the tumor size measurement (dTS), which is used in conventional SRCA to predict the drug response. Histology examination showed insignificant changes in the size of tumor transplants due to host reaction but disclosed a number of potential errors in the use of dTS to evaluate transplant growth and drug effects. In our series of 62 patients with advanced ovarian carcinoma the M/V value was superior to the dTS in explaining the clinical response after 6 months as assessed at second-look laparotomy. Patients showing no response had significantly higher M/V values than did those displaying complete or partial responses (P 〈 0.033). The use of 6 mitotic figures/mm2 as a limit differentiating responders from nonresponders resulted in an overall predictive accuracy of 79% in the logistic regression analysis. In comparison to the FIGO stage, residual tumor size, and the dTS, the M/V value obtained for the cytostatic combination given to the patient was the single most significant factor predicting the 6-month clinical response. The results indicate that the combined use of the M/V index and SRCA is a promising new approach to prediction of the drug response in ovarian adenocarcinoma.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...