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Journal of Histochemistry and Cytochemistry, Vol. 46, 41-48, Copyright © 1998 by The Histochemical Society, Inc.


ARTICLE

p53 Expression in Human Carcinomas: Could Flow Cytometry Be an Alternative to Immunohistochemistry?

Elvira Beninia, Aurora Costaa, Gabriella Abolafioa, and Rosella Silvestrinia
a Oncologia Sperimentale C, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan, Italy

Correspondence to: Rosella Silvestrini, Oncologia Sperimentale C, Istituto Nazionale Tumori, Via Venezian 1, 20133 Milano, Italy.

Several studies have shown that p53 expression has important clinical implications as an indicator of prognosis and response to chemotherapy or radiotherapy in different human tumor types. Determination of p53 expression by immunohistochemistry (IHC) has been incorporated into routine practice and its reliability has been consolidated. However, flow cytometric (FCM) analysis might represent an important objective and rapid approach. In the present study we determined p53 expression by IHC and FCM on a series of 118 human solid tumors. IHC determination was performed on histological sections and FCM analysis on cell suspensions. Low correlation coefficients (rs from 0.22 to 0.57) were observed between IHC and FCM data from individual tumors. By considering the IHC approach as the gold standard, high sensitivity and low specificity were found for FCM in detecting p53 expression. The FCM analysis of p53 expression and DNA content showed p53-positive cells in all cell cycle phases. Moreover, in most breast, lung, and colon aneuploid tumors (77%), p53-positive cells were detected only in the subpopulations with abnormal DNA content. In conclusion, FCM-p53 expression cannot be used alternatively to IHC determination, and its clinical relevance remains to be validated. Nevertheless, FCM may provide important information about p53 protein expression in the different subpopulations and cell cycle phases. (J Histochem Cytochem 46:41-47, 1998)

Key Words: p53 expression, flow cytometry, immunohistochemistry, human tumors


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