PMID: 26817241Jan 29, 2016Paper

Comparison of Automated and Conventional IHC Visual Scoring Analysis for MHC Class I and Tapasin Expression in Cervical Carcinoma

Journal of the Medical Association of Thailand = Chotmaihet Thangphaet
Surasak WanramPatcharee Jearanaikoon

Abstract

Cervical cancer (CXCA) is the second most common cancer among women in Thailand and worldwide. Immune evasion caused by down-regulation of host immune responsive genes, such as MHC class I and loss of antigen processing machinery (APM), presents a capability leading to cancer development. Immunohistochemical staining (HC) is regarded as a common technique for protein marker detection in clinical laboratories. At present, IHC automation has been launched to facilitate the speed and feasibility to replace conventional IHC. However, evaluation of its use is still limited. This study aimed to evaluate IHC scoring by automated visual analysis compared to conventional IHC analysis. The paraffin-embedded tissues of 96 invasive CXCA were processed using a tissue microarray (TMA) platform followed by automated IHC staining of the anti-MHC class I (heavy chain, β2M) and an APM-Tapasin expression. Conventional IHC and automated slide scanning with scoring visual analysis were compared. The results showed significant association between conventional and automated IHC evaluation (p-value > 0.05, Chi-square) for MHC class I and Tapasin stated in percentage of positive cancer cells, whereas intensity was found (p-value < 0.05, Chi-square) wit...Continue Reading

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