Author:
Lin Huan,Pan Xipeng,Feng Zhengyun,Yan Lixu,Hua Junjie,Liang Yanting,Han Chu,Xu Zeyan,Wang Yumeng,Wu Lin,Cui Yanfen,Huang Xiaomei,Shi Zhenwei,Chen Xin,Chen Xiaobo,Zhang Qingling,Liang Changhong,Zhao Ke,Li Zhenhui,Liu Zaiyi
Abstract
Abstract
Background
High immune infiltration is associated with favourable prognosis in patients with non-small-cell lung cancer (NSCLC), but an automated workflow for characterizing immune infiltration, with high validity and reliability, remains to be developed.
Methods
We performed a multicentre retrospective study of patients with completely resected NSCLC. We developed an image analysis workflow for automatically evaluating the density of CD3+ and CD8+ T-cells in the tumour regions on immunohistochemistry (IHC)-stained whole-slide images (WSIs), and proposed an immune scoring system “I-score” based on the automated assessed cell density.
Results
A discovery cohort (n = 145) and a validation cohort (n = 180) were used to assess the prognostic value of the I-score for disease-free survival (DFS). The I-score (two-category) was an independent prognostic factor after adjusting for other clinicopathologic factors. Compared with a low I-score (two-category), a high I-score was associated with significantly superior DFS in the discovery cohort (adjusted hazard ratio [HR], 0.54; 95% confidence interval [CI] 0.33–0.86; P = 0.010) and validation cohort (adjusted HR, 0.57; 95% CI 0.36–0.92; P = 0.022). The I-score improved the prognostic stratification when integrating it into the Cox proportional hazard regression models with other risk factors (discovery cohort, C-index 0.742 vs. 0.728; validation cohort, C-index 0.695 vs. 0.685).
Conclusion
This automated workflow and immune scoring system would advance the clinical application of immune microenvironment evaluation and support the clinical decision making for patients with resected NSCLC.
Funder
Key-Area Research and Development Program of Guangdong Province, China
National Science Fund for Distinguished Young Scholars of China
National Science Foundation for Young Scientists of China
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Gansu Postdoctoral Science Foundation
High-level Hospital Construction Project
Applied Basic Research Projects of Yunnan Province, China, Outstanding Youth Foundation
Yunnan digitalization, Development and Application of Biotic Resource
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献