Reproducibility of c-Met Immunohistochemical Scoring (Clone SP44) for Non–Small Cell Lung Cancer Using Conventional Light Microscopy and Whole Slide Imaging

再现性 医学 肺癌 克隆(Java方法) 显微镜 免疫组织化学 核医学 癌症 病理 内科学 生物 化学 色谱法 遗传学 DNA
作者
Christophe Bontoux,Véronique Hofman,Emmanuel Chamorey,Renaud Schiappa,Sandra Lassalle,Élodie Long-Mira,Katia Zahaf,Salomé Lalvée,Julien Fayada,Christelle Bonnetaud,Samantha Goffinet,Marius Ilié,Paul Hofman
出处
期刊:The American Journal of Surgical Pathology [Lippincott Williams & Wilkins]
卷期号:48 (9): 1072-1081 被引量:3
标识
DOI:10.1097/pas.0000000000002274
摘要

Emerging therapies for non–small cell lung cancer targeting c-Met overexpression have recently demonstrated promising results. However, the evaluation of c-Met expression can be challenging. We aimed to study the inter and intraobserver reproducibility of c-Met expression evaluation. One hundred ten cases with non–small cell lung cancer (40 biopsies and 70 surgical specimens) were retrospectively selected in a single laboratory (LPCE) and evaluated for c-Met expression. Six pathologists (4 seniors and 2 juniors) evaluated the H-score and made a 3-tier classification of c-Met expression for all cases, using conventional light microscopy (CLM) and whole slide imaging (WSI). The interobserver reproducibility with CLM gave global Cohen Kappa coefficients (ƙ) ranging from 0.581 (95% CI: 0.364-0.771) to 0.763 (95% CI: 0.58-0.92) using the c-Met 3-tier classification and H-score, respectively. ƙ was higher for senior pathologists and biopsy samples. The interobserver reproducibility with WSI gave a global ƙ ranging from 0.543 (95% CI: 0.33-0.724) to 0.905 (95% CI: 0.618-1) using the c-Met H-score and 2-tier classification (≥25% 3+), respectively. ƙ for intraobserver reproducibility between CLM and WSI ranged from 0.713 to 0.898 for the c-Met H-score and from 0.600 to 0.779 for the c-Met 3-tier classification. We demonstrated a moderate to excellent interobserver agreement for c-Met expression with a substantial to excellent intraobserver agreement between CLM and WSI, thereby supporting the development of digital pathology. However, some factors (scoring method, type of tissue samples, and expertise level) affect reproducibility. Our findings highlight the importance of establishing a consensus definition and providing further training, particularly for inexperienced pathologists, for c-Met immunohistochemistry assessment in clinical practice.

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