宫颈癌中MHC I类分子和TAPASIN表达的自动化与传统免疫组化视觉评分分析比较

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

作者信息

Wanram Surasak, Sombatwong Jakkra, Sakunpong Anun, Prasongdee Prinya, Panomket Pawana, Wongsena Parichart, Limpaiboon Temduang, Jearanaikoon Patcharee

出版信息

J Med Assoc Thai. 2016 Jan;99 Suppl 1:S67-75.

PMID:26817241

Abstract

BACKGROUND

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.

OBJECTIVE

This study aimed to evaluate IHC scoring by automated visual analysis compared to conventional IHC analysis.

MATERIAL AND METHOD

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.

RESULTS

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) with moderate agreement (p-value < 0.001, kappa) 0.434-0.615 and 0.353-0.554, respectively. After calculated values, the results showed significant association between conventional and automated IHC evaluation (p-value > 0.05, Chi-square) for MHC class I and Tapasin with the highest agreement level (p-value < 0.001, kappa) of summation 0.595-0.755 and multiply scoring 0.633-0.689, respectively.

CONCLUSION AND DISCUSSION

The automation softwarefor IHC scoring and interpretation can be used for the determination of MHC class I and Tapasin in CXCA. In addition, an antigen presentation pattern must be included to allow an accurate result for MHC class I in clinical use. An appropriate sample size and design of staging coverage as well as clinical prognosis outcomes of progression should be used infurther investigation.

摘要

背景

宫颈癌（CXCA）是泰国及全球女性中第二常见的癌症。宿主免疫反应基因下调（如MHC I类分子）及抗原加工机制（APM）丧失所导致的免疫逃逸是癌症发生发展的一个因素。免疫组织化学染色（HC）是临床实验室检测蛋白质标志物的常用技术。目前，免疫组化自动化技术已被应用，以提高检测速度和可行性，取代传统免疫组化。然而，对其应用的评估仍然有限。

目的

本研究旨在比较免疫组化自动化视觉分析评分与传统免疫组化分析。

材料与方法

采用组织微阵列（TMA）平台对96例浸润性CXCA石蜡包埋组织进行处理，随后对I类主要组织相容性复合体（重链，β2M）和APM - Tapasin表达进行免疫组化自动染色。比较传统免疫组化和自动玻片扫描及视觉分析评分。

结果

结果显示，在阳性癌细胞百分比方面，传统免疫组化和自动免疫组化评估对MHC I类分子和Tapasin的评估存在显著相关性（p值>0.05，卡方检验），而在强度方面（p值<0.05，卡方检验），一致性中等（p值< <0.001，kappa值），分别为0.434 - 0.615和0.353 - 0.554。计算值后，结果显示传统免疫组化和自动免疫组化评估对MHC I类分子和Tapasin存在显著相关性（p值>0.05，卡方检验），最高一致性水平（p值< <0.001，kappa值）分别为总和评分0.595 - 0.755和乘积评分0.633 - 0.689。