Angiogenesis as a prognostic indicator of survival in non-small-cell lung carcinoma: A prospective study

Gabriella Fontanini, Marco Lucchi, Silvana Vignati, Alfredo Mussi, Fortunato Ciardiello, Michelino De Laurentiis, Sabino De Placido, Fulvio Basolo, Carlo Alberto Angeletti, Generoso Bevilacqua

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Tumors acquire nutrients that are essential for continued growth and an avenue for dissemination to the rest of the body by inducing angiogenesis (i.e., the formation of new blood vessels). Preliminary studies involving a number of different kinds of cancer have indicated that an assessment of tumor angiogenesis may be useful in predicting disease outcome. Purpose: In a prospective study, we evaluated the relationship between tumor angiogenesis and survival for 407 patients with nonsmall-cell lung carcinoma who were treated with potentially curative surgery. Methods: The study population consisted of 360 male and 47 female patients who underwent surgery consecutively at the Department of Surgery, University of Pisa, Italy, from March 1991 through December 1994. Follow-up lasted through February 1996, with a median follow-up for living patients of 29 months (range, 15-60 months). An anti-CD34 monoclonal antibody, which is specific for endothelial cells, and standard immunohistochemical techniques were used to measure angiogenesis in tumor samples. Angiogenesis was quantified in terms of microvessel counts; the counts for single, high-power microscopic fields (magnification x250) in the three most intense areas of blood vessel growth for each sample were averaged. The median microvessel count in this series was 20, and the counts were categorized as follows: 1) low versus high (≤20 versus >20 microvessels) or 2) in five categories (1-10, 11-20, 21-30, 31- 40, and ≤41 microvessels). Disease-free and overall survival during follow- up were assessed. Kaplan-Meier survival curves were modeled in a univariate analysis of patient and tumor characteristics; the Cox proportional hazards model was used in multivariate analysis. Reported P values are two-sided. Results and Conclusions: In the univariate analysis, patients with larger tumors (P for trend

Original languageEnglish
Pages (from-to)881-886
Number of pages6
JournalJournal of the National Cancer Institute
Volume89
Issue number12
Publication statusPublished - Jun 18 1997

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

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