Alteration of met protooncogene product expression and prognosis in breast carcinomas

Ilan Tsarfaty, W. Gregory Alvord, James H. Resau, Rom T. Altstock, Rosette Lidereau, Ivan Bieche, Françoise Bertrand, Judith Horev, Richard L. Klabansky, Iafa Keydar, George F. Vande Woude*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


OBJECTIVE: To objectively quantify the expression and prognostic implications of the met protooncogene product (Met) in human breast cancer. STUDY DESIGN: One hundred eighty-two cases of primary human breast cancer were collected. Both the normal and tumor portions of the original surgical pathology specimen were immunostained for Met and imaged using laser scanning confocal microscopy. Then the cases were ranked according to relative concentrations of normal and tumor Met expression. Subsequently, they were quantified using image analysis and the results correlated with clinical outcome to determine the prognostic value of relative levels of Met. RESULTS: Using a quantitative index to evaluate the relative levels of Met expression, high levels of Met expression in the tumor as compared with the adjacent normal ducts predicted poor prognosis for overall survival and metastasis- free survival. The risk ratio for elevated Met expression was 3.94 (P = .0009). This new method also allows determination of the clinical relevance of low levels of Met in the tumor. The overall survival between the patient population with higher, lower and unchanged levels of Met in formal tissue as compared to tumor were significantly different (P = .0020). CONCLUSION: Our studies suggests that in a subpopulation of node-negative breast cancer patients, either high or low levels of Met in tumor tissue relative to normal tissue is an indicator of poor overall survival (P = .0068). Thus, Met expression could be useful for identifying node-negative patients who could be benefit from adjuvant therapy.

Original languageEnglish
Pages (from-to)397-408
Number of pages12
JournalAnalytical and Quantitative Cytology and Histology
Issue number5
StatePublished - Oct 1999


  • Breast cancer
  • Confocal microscopy
  • Image analysis
  • Met
  • Node-negative


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