Journal of clinical pathology · 2026
Automation of fluorescent in situ hybridization (FISH) leading to cost savings and consistent high-quality results.
СтатьяВалидационное исследованиеСравнительное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Kwon Grace J, Blackley Aaron, Perkinson Kathryn, Bentley Rex C, Pavlisko Elizabeth N, Cardona Diana M
Аннотация
AIMS: Despite continually improving guidelines, human epidermal growth factor receptor 2 (HER2) testing for breast and gastro-oesophageal carcinoma continues to be a technical challenge in clinical laboratories. Manual HER2 fluorescence in situ hybridisation (FISH) testing is labour-intensive and prone to inter-run and interoperator variability. We aimed to adopt and validate a Leica BOND-III automated staining platform for HER2 FISH testing.
METHODS: We recently validated the Leica BOND-III automated staining platform for HER2 FISH testing and compared it to our previous manual FISH (Agilent HER2 IQFISH pharmDx) methodology using 77 breast cancer cases and 8 gastric cancer cases.
RESULTS: Using the automated Leica BOND-III automated staining platform, we achieved 0.95 sensitivity and 0.97 specificity in HER2 FISH testing for breast cancer cases and 1.0 sensitivity and specificity for gastric carcinoma cases. There was a 98% concordance rate between results of automated testing versus our previous manual method. The automated staining platform decreased technical hands-on time significantly while also reducing overall supply costs for the laboratory.
CONCLUSIONS: We were able to implement and validate the automated Leica BOND-III staining platform seamlessly into a complex laboratory for HER2 FISH testing that has overall significantly decreased hands-on time by technologists and supply costs. Automated Leica BOND-III HER2 FISH staining results were highly concordant with our previous manual FISH method in both breast cancer and gastric cancer cases.
METHODS: We recently validated the Leica BOND-III automated staining platform for HER2 FISH testing and compared it to our previous manual FISH (Agilent HER2 IQFISH pharmDx) methodology using 77 breast cancer cases and 8 gastric cancer cases.
RESULTS: Using the automated Leica BOND-III automated staining platform, we achieved 0.95 sensitivity and 0.97 specificity in HER2 FISH testing for breast cancer cases and 1.0 sensitivity and specificity for gastric carcinoma cases. There was a 98% concordance rate between results of automated testing versus our previous manual method. The automated staining platform decreased technical hands-on time significantly while also reducing overall supply costs for the laboratory.
CONCLUSIONS: We were able to implement and validate the automated Leica BOND-III staining platform seamlessly into a complex laboratory for HER2 FISH testing that has overall significantly decreased hands-on time by technologists and supply costs. Automated Leica BOND-III HER2 FISH staining results were highly concordant with our previous manual FISH method in both breast cancer and gastric cancer cases.