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高级别浆液性卵巢癌中 CD8+ T 细胞浸润特征描述及定量的临床相关性:基于机器学习的双免疫染色图像分析

英文原题:Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining.

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Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining.

PubMed 2026/04/11(内容时间) Rev Esp Patol Q4 · IF 0.6(JCR 2025)

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研究概要

使用双重免疫染色和机器学习分析对上皮内 CD8+ TIL 进行数字定量,能够准确评估淋巴细胞浸润,并且是 HGSC 的独立预后因素。间质 CD8+密度缺乏预后价值,突显了在肿瘤-免疫相互作用中评估效应细胞空间定位的重要性。

研究思路结论见上方概要

高级别浆液性癌(HGSC)是卵巢癌中最常见且最具侵袭性的亚型。尽管肿瘤分期和完全细胞减灭术是关键预后因素,但肿瘤免疫微环境也影响预后,其中CD8+ T淋巴细胞是主要的效应成分。

评估使用数字图像分析定量上皮内(ieTILs)和间质(sTILs)CD8+TIL(肿瘤浸润淋巴细胞)的临床相关性。

对74例接受肿瘤细胞减灭术和化疗的III-IV期HGSC患者进行了回顾性研究。构建了组织芯片(TMAs),并进行了细胞角蛋白和CD8的双重免疫染色。使用监督机器学习算法对切片进行分析,以量化ieTILs和sTILs。这些参数与年龄、肿瘤细胞减灭状态、无铂间期(PFI)、总生存期(OS)、新辅助治疗和BRCA突变状态相关。

上皮内CD8+ T细胞浸润较高的患者表现出更长的总生存期和更长的无铂间期的趋势,而基质密度与预后无关。在多变量分析中,ieTILs仍然是OS和PFI的独立预后因素。

展开英文摘要原文

To evaluate the clinical relevance of quantifying intraepithelial (ieTILs) and stromal (sTILs) CD8+ tumour-infiltrating lymphocytes using digital image analysis. MATERIAL AND METHODS: A retrospective study was conducted on 74 patients with stage III-IV HGSC treated with cytoreductive surgery and chemotherapy. Tissue microarrays (TMAs) were constructed, and dual immunostaining for cytokeratin and CD8 was performed. Sections were analysed using supervised machine-learning algorithms to quantify ieTILs and sTILs. These parameters correlated with age, cytoreduction status, platinum-free interval (PFI), overall survival (OS), neoadjuvant therapy, and BRCA mutation status.

Patients with higher intraepithelial CD8+ T-cell infiltration showed longer overall survival and a trend toward a longer platinum-free interval, whereas stromal density was not associated with prognosis. In multivariate analyses, ieTILs remained as an independent prognostic factor for both OS and PFI.

Digital quantification of intraepithelial CD8+ TILs using dual immunostaining and machine-learning analysis provides an accurate assessment of the lymphocytic infiltrate and represents an independent prognostic factor in HGSC. The lack of prognostic value of stromal CD8+ density highlights the importance of assessing the spatial localisation of effector cells in tumour-immune interactions.

论文信息

作者
Machuca-Aguado J、Alfonso-Rosa C、Muñoz-Álvarez A、Rendón-García R、Conde-Martín AF、Andrade-Ruiz H、Idoate Gastearena MA
第一作者单位
Department of Pathology, Virgen Macarena University Hospital, Seville, Spain.Spain
通讯作者单位
Department of Pathology, Gregorio Marañón General University Hospital, Madrid, Spain. Electronic address: maidoate@unav.es.Spain
期刊
Revista espanola de patologia : publicacion oficial de la Sociedad Espanola de Anatomia Patologica y de la Sociedad Espanola de Citologia2026 Jul-Sep
原文标识
PubMed 41966548 · DOI 10.1016/j.patol.2026.100872