PO.BCS01.08 · 生物信息与计算

用于头颈部鳞状细胞癌空间分析的全面40标志物循环免疫荧光(IF)面板

Comprehensive 40-marker cyclic IF panel for spatial profiling of head and neck squamous cell carcinoma

海报缩略图:用于头颈部鳞状细胞癌空间分析的全面40标志物循环免疫荧光(IF)面板
编号 4156 展板 6 时间 4/21 09:00–12:00 区域 Section 3 主讲 Danielle Fails, BS;MS
分会场 Digital Pathology 3
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作者与单位 Authors & Affiliations

Danielle Fails, Alyssa Hernandez, Mike Spencer

Bethyl Laboratories, Montgomery, TX

摘要 Abstract

中文摘要
引言 头颈部鳞状细胞癌(HNSCC)的发病率在过去十年间全球至少增长了23%,并预计将继续以每年30%的速度上升。HNSCC的治疗通常包括多学科方法(即化疗+手术),但成功率仍然有限,不到一半的患者在治疗后存活超过两年(Nieszporek等,2025)。在过去十年中,在同时可筛查的生物标志物数量方面取得了显著改进,同时保持了组织完整性。这些染色和成像的改进有助于识别新的治疗靶点,同时限制了对宝贵组织的过度使用。本研究旨在使用全自动循环IF系统,在同一组织切片上探究头颈部鳞状细胞癌的肿瘤微环境。 方法 使用免疫标志物、组织结构标志物以及头颈部鳞状细胞癌中的特定目标靶点,设计了两个各含20个生物标志物的面板。面板1由I/O标志物组成(CD3、CD4、CD8、FoxP3、CD56、CD20、CD68、CD11c、aSMA、PD-L1、PD-1、CD45、CD27、CTLA-4、CD19、PCNA、CD14、CD16、SOX10、CD79a),而面板2主要由发现型标志物组成(ALDH2、IL-8、CK17、MMP9、MAGE-A4、EpCAM、EGFR、CK14、CK19、CK5/6、p53、CD44、ZEB1、ZEB2、beta-Catenin、E-Cadherin、Vimentin、COL1A1、COL4A1、FAP)。使用包含正常和癌变皮肤组织的FFPE组织微阵列进行优化。预处理步骤在Epredia© PT模块中使用Tris-EDTA pH9溶液,在100℃下进行1小时。先对面板1染色,然后在不将组织从仪器上取下的情况下对面板2染色。样本的自动免疫荧光染色和成像在Lunaphore COMET™系统上进行。 结果 在同一组织上对两个20重蛋白面板进行顺序染色,展示了COMET最大化可评估生物标志物数量的能力。该方案显著减少了所需组织的使用量,有助于维持组织完整性以进行下游处理(即H&E染色),并通过减少芯片和试剂使用来最大限度地降低成本。 结论 这种利用高重数、全自动顺序免疫荧光染色对HNSCC肿瘤全景的全面探究,凸显了最新空间技术的诸多能力。采用这种方法,可以在最少的组织使用量下实现对肿瘤微环境的更深入探究,同时保持试剂和材料成本低廉。参考文献:1. Nieszporek, A., Wierzbicka, M., Khan, A., Jeziorny, M., 等。用于头颈部鳞状细胞癌研究和临床应用的空间分析技术。Current Research in Biotechnology. 2025. 第10卷:100321。
查看英文原文 English abstract
Introduction Head and neck squamous cell carcinoma (HNSCC) incidence has increased by at least 23 % globally over the last ten years and is predicted to continue to rise by 30 % annually. Treatment for HNSCC often includes a multidisciplinary approach (i.e., chemotherapy + surgery) but success rates are still limited with less than half surviving more than two years post-treatment (Nieszporek et al., 2025). Significant improvements in the number of biomarkers that can be screened at once, while preserving tissue integrity, have been made over the last decade. These staining and imaging improvements have contributed to the identification of novel therapeutic targets while limiting the egregious use of precious tissues. This study aimed to interrogate the tumor microenvironment of head and neck squamous cell carcinoma using the same tissue slice using a fully automated cyclic IF system. Methods Two panels of 20 biomarkers each were designed using immune markers, tissue architectural markers, and specific targets of interest in head and neck squamous cell carcinoma. Panel 1 was comprised of I/O markers (CD3, CD4, CD8, FoxP3, CD56, CD20, CD68, CD11c, aSMA, PD-L1, PD-1, CD45, CD27, CTLA-4, CD19, PCNA, CD14, CD16, SOX10, CD79a) while Panel 2 was largely comprised of discovery markers (ALDH2, IL-8, CK17, MMP9, MAGE-A4, EpCAM, EGFR, CK14, CK19, CK5/6, p53, CD44, ZEB1, ZEB2, beta-Catenin, E-Cadherin, Vimentin, COL1A1, COL4A1, FAP). Optimization was achieved using FFPE tissue microarrays containing normal and cancerous skin tissues. Pre-processing steps were done in the Epredia© PT Module using Tris-EDTA ph9 solution, at 100°C, for 1 hour. Panel 1 was stained first followed by Panel 2 without removal of the tissue from the instrument. Automated immunofluorescent staining and imaging of the samples was performed on the Lunaphore COMET™ system. Results The sequential staining of two 20-plex protein panels on the same tissue demonstrates the COMET's capability of maximizing the number of biomarkers that can be evaluated. This protocol significantly reduces the use of tissue necessary, helps maintain tissue integrity for downstream processing (i.e., H&E staining), and minimizes costs by reducing chip and reagent use. Conclusions This comprehensive interrogation of the HNSCC tumor landscape with the use of high-plex, fully automated sequential immunofluorescent staining highlights many of the capabilities of the latest spatial technologies. In using this approach, deeper dives of tumor microenvironments can be achieved with minimal tissue use while keeping reagent and material costs low. References: 1. Nieszporek, A., Wierzbicka, M., Khan, A., Jeziorny, M., et al. Spatial profiling technologies for research and clinical application in head and neck squamous cell cancers. Current Research in Biotechnology. 2025. Vol 10: 100321.
利益披露 Disclosure
D. Fails, None.

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