Whole-Slide Cytometric Feature Mapping for Distinguishing Tumor Genomic Subtypes in Head and Neck Squamous Cell Carcinoma Whole-Slide Images.
Whole-Slide Cytometric Feature Mapping for Distinguishing Tumor Genomic Subtypes in Head and Neck Squamous Cell Carcinoma Whole-Slide Images.
复制标题
用于区分头颈鳞状细胞癌全幻灯片图像中肿瘤基因组亚型的全幻灯片细胞计数特征映射。
DOI：
10.1016/j.ajpath.2022.11.004
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Mowery,YvonneM
中科院分区：
文献类型：
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作者：
Blocker,StephanieJ;Morrison,Samantha;Everitt,JeffreyI;Cook,James;Luo,Sheng;Watts,TammaraL;Mowery,YvonneM
头颈部鳞状细胞癌（HNSCC）是一种异质性疾病，在晚期，临床和病理分期与预后无关。HNSCC分子和基因组生物标志物在预后和治疗方面的应用前景广阔。本研究利用HNSCC肿瘤全切片图像的自动图像分析技术来确定细胞特征与基因组表型之间的关系。苏木精和伊红染色的HNSCC肿瘤切片（N= 49）来自The Cancer Imaging Archive，并附有临床、病理、基因组和蛋白质组学报告。在整个载玻片上进行自动核检测，并生成细胞特征图。评估了41个细胞特征与肿瘤分级、肿瘤分期、肿瘤亚位点和综合基因组亚型的关系。经过多次比较校正后，32个特征显示出与综合基因组亚型的显著关联。特别是，基于细胞特征测量，基底亚型与染色体不稳定性和免疫亚型在视觉上是可区分的。没有特征与肿瘤分级、分期或亚位点显著相关。本研究提供了初步证据，证明组织病理切片的特征可以为HNSCC的基因组表型提供见解。
Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease where, in advanced stages, clinical and pathologic stages do not correlate with outcome. Molecular and genomic biomarkers for HNSCC classification have shown promise for prognostic and therapeutic applications. This study utilized automated image analysis techniques in whole-slide images of HNSCC tumors to identify relationships between cytometric features and genomic phenotypes. Hematoxylin and eosin–stained slides of HNSCC tumors (N= 49) were obtained from The Cancer Imaging Archive, along with accompanying clinical, pathologic, genomic, and proteomic reports. Automated nuclear detection was performed across the entirety of slides, and cytometric feature maps were generated. Forty-one cytometric features were evaluated for associations with tumor grade, tumor stage, tumor subsite, and integrated genomic subtype. Thirty-two features demonstrated significant association with integrated genomic subtype when corrected for multiple comparisons. In particular, the basal subtype was visually distinguishable from the chromosomal instability and immune subtypes based on cytometric feature measurements. No features were significantly associated with tumor grade, stage, or subsite. This study provides preliminary evidence that features derived from tissue pathology slides could provide insights into genomic phenotypes of HNSCC.