黑色素瘤
肿瘤浸润淋巴细胞
医学
算法
H&E染色
计算机科学
癌症研究
肿瘤科
免疫疗法
内科学
癌症
免疫组织化学
作者
Balázs Ács,Fahad Shabbir Ahmed,Swati Gupta,Pok Fai Wong,Robyn D. Gartrell,Jaya Sarin Pradhan,Emanuelle M. Rizk,Bonnie Gould Rothberg,Yvonne M. Saenger,David L. Rimm
标识
DOI:10.1038/s41467-019-13043-2
摘要
Abstract Assessment of tumor infiltrating lymphocytes (TILs) as a prognostic variable in melanoma has not seen broad adoption due to lack of standardization. Automation could represent a solution. Here, using open source software, we build an algorithm for image-based automated assessment of TILs on hematoxylin-eosin stained sections in melanoma. Using a retrospective collection of 641 melanoma patients comprising four independent cohorts; one training set (N = 227) and three validation cohorts (N = 137, N = 201, N = 76) from 2 institutions, we show that the automated TIL scoring algorithm separates patients into favorable and poor prognosis cohorts, where higher TILs scores were associated with favorable prognosis. In multivariable analyses, automated TIL scores show an independent association with disease-specific overall survival. Therefore, the open source, automated TIL scoring is an independent prognostic marker in melanoma. With further study, we believe that this algorithm could be useful to define a subset of patients that could potentially be spared immunotherapy.
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