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Steroid receptor assays: an Italian quality assessment program
A Piffanelli1, G Giovannini, D Pelizzola
1Cattedra di Medicina Nucleare, Università degli Studi, Ferrara.
Annali Dell'Istituto Superiore Di Sanita
|January 1, 1991
Summary
The Italian Committee for quality assessment standardized steroid receptor assays using the dextran-coated charcoal (DCC) method. This program improved interlaboratory consistency for hormone receptor quantification in cancer treatment.
Area of Science:
- Biochemistry
- Oncology
- Clinical Chemistry
Background:
- Established in 1979, the Italian Committee for quality assessment of steroid receptor assays saw significant growth, expanding from 7 to 43 participating laboratories by 1989.
- The program collaborated with the European Organization for Research and Treatment of Cancer (EORTC) to establish standardized protocols.
Purpose of the Study:
- To standardize steroid receptor assay methods across Italian laboratories.
- To ensure consistent and reliable quantification of hormone receptors for cancer patient management.
Main Methods:
- Utilized lyophilized samples as working standards, stable for prolonged storage at 4°C.
- Adopted the dextran-coated charcoal (DCC) method for steroid receptor measurement, specifying identical radioactive ligands and non-specific binding compounds.
- Employed multipoint Scatchard analysis for data computation, acknowledging its complexity but widespread use.
Main Results:
- Demonstrated excellent correlation between the established radioligand binding assay (DCC) and newer immunochemical assay (EIA) methods.
- Highlighted the importance of standardized methods for reliable hormone receptor quantification in human cancer.
- Identified estrogen receptor status and other prognostic factors as key determinants of cancer recurrence.
Conclusions:
- Standardized DCC method is a recognized procedure for hormone receptor quantification.
- Quality assessment programs are crucial with the advent of new technologies like EIA.
- Estrogen receptor status and other molecular markers are critical for predicting cancer recurrence.