人工智能驱动的全切片图像分析仪揭示神经内分泌肿瘤中 TIL（肿瘤浸润淋巴细胞）的独特分布

英文原题：Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms.

查看英文原题

Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms.

PubMed 2022/09/27（内容时间） Diagnostics (Basel) Q1 · IF 3.8（JCR 2025）

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

地区：美国地区：韩国

登录后收藏与关注全文解读加入对比

中文摘要

尽管TIL（肿瘤浸润淋巴细胞）和 PD-L1 表达对免疫检查点抑制剂（ICI）反应具有重要性，但尚未在神经内分泌肿瘤（NEN）中对这些生物标志物进行全面评估。

我们收集了来自多个器官的 218 例 NEN，包括 190 例低/中级别 NEN 和 28 例高级别 NEN。TIL 分布来源于 Lunit SCOPE IO，这是一种由人工智能（AI）驱动的苏木精和伊红（H&E）分析器，基于 17,849 张全切片图像开发。高级别 NEN 中瘤内 TIL 高比例病例的比例显著更高（75.0% vs. 46.3%，p = 0.008）。高级别 NEN 中 PD-L1 联合阳性评分（CPS）1 病例的比例更高（85.7% vs. 33.2%，p < 0.001）。

与 CPS < 1 组相比，PD-L1 CPS 1 组显示更高的瘤内、间质和合并 TIL 密度（7.13 vs. 2.95，p < 0.001；200.9 vs. 120.5，p < 0.001；86.7 vs. 56.1，p = 0.004）。TIL 密度与 PD-L1 CPS 之间观察到显著相关性（瘤内 TIL 的 r = 0.37，p < 0.001；间质 TIL 和合并 TIL 的 r = 0.24，p = 0.002）。AI 驱动的 TIL 分析显示，高级别 NEN 中瘤内 TIL 密度显著更高，且 PD-L1 CPS 与 TIL 密度呈正相关，从而显示其作为 NEN 中 ICI 反应预测生物标志物的价值。

展开英文摘要原文

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.

论文信息

作者: Cho HG、Cho SI、Choi S、Jung W、Shin J、Park G、Moon J、Ma M
第一作者单位: Department of Pediatrics, State University of New York Downstate Medical Center, New York, NY 11203, USA.United States
通讯作者单位: Department of Pathology, Ajou University School of Medicine, Suwon 16499, Korea.South Korea
期刊: Diagnostics (Basel, Switzerland)2022 Sep 27

原文标识: PubMed 36292028　·　DOI 10.3390/diagnostics12102340

在 PubMed 查看 → 出版商原文（DOI）全文 PDF（PMC）· 可下载治疗专题与资料阅读指南资料来源与翻译说明报告译文或资料问题 →