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Additional file 3: of Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma

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posted on 2019-06-05, 05:00 authored by Meng-Xin Tian, Wei-Ren Liu, Han Wang, Yu-Fu Zhou, Lei Jin, Xi-Fei Jiang, Chen-Yang Tao, Zheng Tang, Pei-Yun Zhou, Yuan Fang, Wei-Feng Qu, Zhen-Bin Ding, Yuan-Fei Peng, Zhi Dai, Shuang-Jian Qiu, Jian Zhou, Wan Lau, Jia Fan, Ying-Hong Shi
Figure S1. Study flowchart. Figure S2. Digital image analyzed using the image software (Image-pro plus 6.0), with tissue represented in yellow and stained cells represented in red. Figure S3. Immunohistochemistry expression pattern of 14 immune infiltrations in tumor and adjacent liver tissues, including CD3, CD4, CD8, CD14, CD20, CD27, CD45RA, CD45RO, CD57, CD66b, CD68, CD103, CXCR5, and PD1. Figure S4. X-tile plots of ICPI in the training cohort automatically selecting the optimum cut point according to the highest χ2 value defined by the Kaplan-Meier survival analysis and log-rank test. Figure S5. Kaplan-Meier survival curves of the training cohort categorized by different staging systems. Figure S6. (A) Nomogram for predicting the survival probability in HCC patients. (B) Calibration of the predictive models at 1, 3, and 5 years in the derivation and validation cohorts. Figure S7. The correlation between TRIS and the density of intratumoral immune features, including CD4+, CD20+, CD45RO+, and CD45RA+ cells. (DOCX 5565 kb)

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National High Technology Research and Development Program (863 Program) of China

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