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Book of abstract 2008

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Immunohistochemistry in oncology: a tool for diagnosis, prognosis and<br />

treatment<br />

Paule Opolon<br />

CNRS UMR 8121, Institut Gustave-Roussy, Villejuif 94805, France<br />

Immunohistochemistry enables the visualization <strong>of</strong> specific antigens tissue distribution.<br />

It localizes protein targets <strong>of</strong> interest by applying specific monoclonal or polyclonal<br />

antibodies to tissue surfaces in a process called antibody incubation. This technique was<br />

developed since the 1940’s, when Coons and colleagues from Harvard Medical School<br />

described the identification <strong>of</strong> tissue antigens by using a direct fluorescence protocol.<br />

Detection <strong>of</strong> reliable fluorescent signals was initiated by pharmaceutical chemists, such<br />

as Riggs, in 1961, who replaced the toxic and unstable compound isocyanate by a more<br />

stable dye, fluorescein isothiocyanate (FITC). The first applications <strong>of</strong> this method were<br />

bacteriology and the diagnosis <strong>of</strong> autoimmune diseases. The availability <strong>of</strong> numerous<br />

specific monoclonal antibodies in the 1970’s provided major advances in pathology,<br />

internal medicine and oncology. Immunohistoenzymology coupled with transmission<br />

microscopy (vs immun<strong>of</strong>luorescence), is the elective method for many surgical pathologists<br />

since it makes it possible to visualise at once signals and adjacent structures.<br />

In the field <strong>of</strong> oncology, histological markers (which are not always correlated to seric<br />

markers) allowed major advances in basic research and clinical science: for example<br />

estrogen receptors detection on histological slides in breast cancer is a validated routine<br />

tool for therapy. In fundamental research, visualisation <strong>of</strong> growth factors, cytokines,<br />

apoptosis inhibitors, oncogenic proteins, hypoxia markers, endothelial cells and other cell<br />

types involved in angiogenesis, combined with various methods, such as those derived<br />

from molecular biology is a very valuable tool for the understanding <strong>of</strong> cancerogenesis<br />

mechanisms.<br />

However, interpretation <strong>of</strong> immunohistochemistry has to take into account the pitfalls<br />

<strong>of</strong> this method: poor specificity <strong>of</strong> some antibodies, discrepancies between hospitals <strong>of</strong>ten<br />

related to the<br />

l33<br />

heterogeneity <strong>of</strong> fixation procedures and, during many years, the drawback<br />

<strong>of</strong> an exclusively morphological approach. Early adepts <strong>of</strong> quantification <strong>of</strong> these signals<br />

spent longs hours counting manually histological structures such as blood vessels, with a<br />

poor intra-observer and inter-observer reproducibility.<br />

Since 2004, quantification <strong>of</strong> stained signals is performed at Gustave Roussy Institute in<br />

Villejuif with a system combining a dedicated slide scanner and a computer-assisted image<br />

analysis: PIXCYT is a s<strong>of</strong>tware package designed by the Groupe Régional d’Etudes sur<br />

le Cancer, Centre François Baclesse, Caen) and represents a revolutionary approach <strong>of</strong><br />

markers interpretation on histological slides for experimental pathology applications,<br />

such as the count <strong>of</strong> immunostained microvessels, nuclear or cytoplasmic stainings in<br />

tumor cells.<br />

Automation with a dedicated script implemented to PIXCYT proved to be very helpful<br />

for measurement <strong>of</strong> lung metastases surface in a model <strong>of</strong> B16F10 tumors xenografted<br />

in nude mice. This s<strong>of</strong>tware is also currently used to assess tumor microvessel density<br />

48

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