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

Author:

Bontoux Christophe12345,Hofman Véronique12345,Chamorey Emmanuel6,Schiappa Renaud6,Lassalle Sandra12345,Long-Mira Elodie12345,Zahaf Katia1245,Lalvée Salomé1245,Fayada Julien1245,Bonnetaud Christelle1245,Goffinet Samantha1,Ilié Marius12345,Hofman Paul12345

Affiliation:

1. Laboratory of Clinical and Experimental Pathology

2. Hospital-Integrated Biobank

3. Team 4, Institute of Research on Cancer and Aging of Nice Inserm U1081, CNRS UMR7284, Côte d’Azur University

4. FHU OncoAge, Côte d’Azur University

5. University Hospital Institute RespirERA, Côte d’Azur University, Pasteur Hospital, CHU of Nice

6. Department of Statistics, Antoine Lacassagne Cancer Center, Nice, France

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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