Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasmsopen access
- Authors
- Cho, HG[Cho, Hyung-Gyo]; Cho, SI[Cho, Soo Ick]; Choi, S[Choi, Sangjoon]; Jung, W[Jung, Wonkyung]; Shin, J[Shin, Jiwon]; Park, G[Park, Gahee]; Moon, J[Moon, Jimin]; Ma, M[Ma, Minuk]; Song, H[Song, Heon]; Mostafavi, M[Mostafavi, Mohammad]; Kang, M[Kang, Mingu]; Pereira, S[Pereira, Sergio]; Paeng, K[Paeng, Kyunghyun]; Yoo, D[Yoo, Donggeun]; Ock, CY[Ock, Chan-Young]; Kim, S[Kim, Seokhwi]
- Issue Date
- Oct-2022
- Publisher
- MDPI
- Keywords
- neuroendocrine neoplasm; tumor-infiltrating lymphocyte; artificial intelligence; PD-L1; biomarker
- Citation
- DIAGNOSTICS, v.12, no.10
- Indexed
- SCIE
SCOPUS
- Journal Title
- DIAGNOSTICS
- Volume
- 12
- Number
- 10
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/101698
- DOI
- 10.3390/diagnostics12102340
- ISSN
- 2075-4418
- Abstract
- Despite the importance of tumor-infiltrating lymphocytes (TIL) and PD-L1 expression to the immune checkpoint inhibitor (ICI) response, a comprehensive assessment of these biomarkers has not yet been conducted in neuroendocrine neoplasm (NEN). We collected 218 NENs from multiple organs, including 190 low/intermediate-grade NENs and 28 high-grade NENs. TIL distribution was derived from Lunit SCOPE IO, an artificial intelligence (AI)-powered hematoxylin and eosin (H&E) analyzer, as developed from 17,849 whole slide images. The proportion of intra-tumoral TIL-high cases was significantly higher in high-grade NEN (75.0% vs. 46.3%, p = 0.008). The proportion of PD-L1 combined positive score (CPS) >= 1 case was higher in high-grade NEN (85.7% vs. 33.2%, p < 0.001). The PD-L1 CPS >= 1 group showed higher intra-tumoral, stromal, and combined TIL densities, compared to the CPS < 1 group (7.13 vs. 2.95, p < 0.001; 200.9 vs. 120.5, p < 0.001; 86.7 vs. 56.1, p = 0.004). A significant correlation was observed between TIL density and PD-L1 CPS (r = 0.37, p < 0.001 for intra-tumoral TIL; r = 0.24, p = 0.002 for stromal TIL and combined TIL). AI-powered TIL analysis reveals that intra-tumoral TIL density is significantly higher in high-grade NEN, and PD-L1 CPS has a positive correlation with TIL densities, thus showing its value as predictive biomarkers for ICI response in NEN.
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- Appears in
Collections - Medicine > Department of Medicine > 1. Journal Articles
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