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Development of a sensitive, specific reverse transcriptase polymerase chain reaction-based assay for epithelial
M Sakaguchi1, A K Virmani, R Ashfaq
1Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas 75235-8593, USA.
British Journal of Cancer
|February 23, 1999
Summary
This study introduces a new molecular assay to detect epithelial cancer cells in effusions. The method combines immunomagnetic bead selection and RT-PCR for epithelial glycoprotein 2 (EGP-2) RNA, enhancing cancer detection sensitivity and specificity.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Cytopathological examination of effusions can be limited in sensitivity for detecting malignant epithelial cells.
- Accurate detection of cancer cells in effusions is crucial for diagnosis and treatment planning.
Purpose of the Study:
- To develop and validate a sensitive and specific molecular assay for detecting epithelial cancer cells in pleural and peritoneal effusions.
- To improve upon the diagnostic capabilities of routine cytopathological examination.
Main Methods:
- A two-stage assay combining immunomagnetic bead selection for cancer cell enrichment.
- Reverse transcriptase polymerase chain reaction (RT-PCR) for detecting epithelial glycoprotein 2 (EGP-2) RNA.
- Validation using cytologically negative effusion cells spiked with known cancer cells and analysis of 110 clinical effusion samples.
Main Results:
- The assay demonstrated high specificity, detecting ten added breast cancer cells among 10(7) negative cells.
- Of 18 cytologically positive/suspicious effusions, 17 (94%) were positive for EGP-2 RNA.
- 11 of 92 (12%) cytologically negative samples were EGP-2 RNA positive, including six patients with a history of carcinoma.
Conclusions:
- The developed molecular assay is highly specific and increases the sensitivity for detecting malignant epithelial cells in effusions.
- This method can serve as a valuable adjunct to conventional cytopathological examination for improved cancer diagnosis.