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Related Experiment Videos

Microvessel density in unknown primary tumors

H F Hillen1, L E Hak, S R Joosten-Achjanie

  • 1Department of Internal Medicine, University Hospital of Maastricht, The Netherlands.

International Journal of Cancer
|February 20, 1997
PubMed
Summary

Microvessel density (MVD) in liver metastases of unknown primary tumors (UPT) did not differ from known primaries. High MVD correlated with shorter survival in UPT patients, indicating its prognostic value.

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Area of Science:

  • Oncology
  • Pathology
  • Cancer Research

Background:

  • Unknown primary tumors (UPT) often present with widespread metastasis.
  • Angiogenesis, measured as microvessel density (MVD), is linked to metastasis in various solid tumors.
  • Understanding MVD in UPT liver metastases is crucial for prognostic assessment.

Purpose of the Study:

  • To compare MVD in liver metastases of UPT with known primary liver tumors (colon, breast).
  • To investigate the prognostic significance of MVD in UPT.
  • To assess the correlation between MVD and clinical factors in UPT.

Main Methods:

  • Analysis of liver metastases from 39 UPT adenocarcinomas via needle biopsy.
  • Comparison with MVD in primary colon (n=24) and breast (n=6) tumors and their metastases.

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  • Immunocytochemistry using CD34 and von Willebrand Factor (vWF) antibodies to determine MVD.
  • Main Results:

    • No significant difference in MVD between UPT liver metastases and known primary liver metastases.
    • Primary tumors of colon and breast showed significantly higher MVD than their metastases.
    • High MVD was the sole prognostic factor for survival in univariate analysis of UPT patients.
    • Multivariate analysis identified MVD, number of metastases, tumor differentiation, and therapy as prognostic indicators.

    Conclusions:

    • MVD in liver metastases is comparable between UPT and known primaries.
    • MVD is a significant prognostic indicator for survival in UPT, with high MVD correlating to shorter survival.
    • MVD, alongside other clinical factors, aids in predicting survival outcomes for UPT patients.