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High CD3D/CD4 ratio predicts better survival in muscle-invasive bladder cancer.

ABSTRACT: Background: Bladder cancer is a common malignancy that affects the human urinary tract. Muscle-invasive bladder cancer (MIBC) is aggressive and has poor prognosis. Previous studies have reported that the tumor-infiltrating lymphocytes (TILs) were associated with MIBC outcome; however, inconsistency remains and mRNA level TIL markers' prognostic significance in MIBC is unclear. Materials and methods: In the present study, we reanalyzed data from four public datasets (the Cancer Genome Atlas for investigation; and CIT, GSE5287, and GSE31684 for validation) to examine the prognostic significance of CD3D, CD4, CD8A, CD3D/CD4 and CD3D/CD8A in MIBC. Results: We found that the CD3D/CD4 ratio was a stable independent prognostic factor in MIBC (beta = -0.87, P = 0.025); high CD3D/CD4 ratio predicted better survival in MIBC, and the power of this association was much stronger in basal-squamous tumors (beta = -4.73, P = 2.67E-06). We also noted that the CD4 expression was significantly higher than CD3D (P < 0.05), indicating the presence of CD3-CD4+ cells which could be immune-suppressing. Conclusion: The CD3D/CD4 ratio can be viewed as a prognostic marker and a rough measurement for the interaction between immune-effecting CD3+ TILs and immune-suppressing CD3-CD4+ cells in MIBC, and this interaction may play a particularly important role in anti-cancer immunity in basal-squamous tumors as it has a very strong association with survival in this subtype, and may be used to select potential responders to immunotherapy.

SUBMITTER: Shi MJ

PROVIDER: S-EPMC6489580 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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High CD3D/CD4 ratio predicts better survival in muscle-invasive bladder cancer.

Shi Ming-Jun MJ Meng Xiang-Yu XY Wu Qiu-Ji QJ Zhou Xiong-Hui XH

Cancer management and research 20190412

<b>Background:</b> Bladder cancer is a common malignancy that affects the human urinary tract. Muscle-invasive bladder cancer (MIBC) is aggressive and has poor prognosis. Previous studies have reported that the tumor-infiltrating lymphocytes (TILs) were associated with MIBC outcome; however, inconsistency remains and mRNA level TIL markers' prognostic significance in MIBC is unclear. <b>Materials and methods:</b> In the present study, we reanalyzed data from four public datasets (the Cancer Gen ...[more]

PMID: 31114346

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Project description:(1) Purpose: Although assessment of tumor-infiltrating lymphocytes (TILs) has been acknowledged to have important predictive prognostic value in muscle-invasive bladder cancer (MIBC), it is limited by inter- and intra-observer variability, hampering widespread clinical application. We aimed to evaluate the prognostic value of quantitative TILs score based on a machine learning (ML) algorithm to identify MIBC patients who might benefit from immunotherapy or the de-escalation of therapy. (2) Methods: We constructed an artificial neural network classifier for tumor cells, lymphocytes, stromal cells, and "ignore" cells from hematoxylin-and-eosin-stained slide images using the QuPath open source software. We defined four unique TILs variables based on ML to analyze TILs measurements. Pathological slide images from 133 MIBC patients were retrospectively collected as the discovery set to determine the optimal association of ML-read TILs variables with patient survival outcomes. For validation, we evaluated an independent external validation set consisting of 247 MIBC patients. (3) Results: We found that all four TILs variables had significant prognostic associations with survival outcomes in MIBC patients (p < 0.001 for all comparisons), with higher TILs score being associated with better prognosis. Univariate and multivariate Cox regression analyses demonstrated that electronic TILs (eTILs) variables were independently associated with overall survival after adjustment for clinicopathological factors including age, sex, and pathological stage (p < 0.001 for all analyses). Results analyzed in different subgroups showed that the eTILs variable was a strong prognostic factor that was not redundant with pre-existing clinicopathological features (p < 0.05 for all analyses). (4) Conclusion: ML-driven cell classifier-defined TILs variables were robust and independent prognostic factors in two independent cohorts of MIBC patients. eTILs have the potential to identify a subset of high-risk stage II or stage III-IV MIBC patients who might benefit from adjuvant immunotherapy.

Dataset Information

High CD3D/CD4 ratio predicts better survival in muscle-invasive bladder cancer.

Publications

High CD3D/CD4 ratio predicts better survival in muscle-invasive bladder cancer.

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