Investigating the significance of tumor-infiltrating immune cells for the prognosis of lung squamous cell carcinoma

• DOI: 10.7717/peerj.7918
• Publication Date: 2019-10-25T07:32:20Z
• Authors: Yueyan Zhu; Xiaoqin Zhang
• Keywords: QH301-705.5; Bioinformatics; LSCC; Immune risk score model; R; TIICs; Prognosis; Nomogram; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; Medicine; Biology (General)

Objective Increasing evidence has indicated an association between immune cells infiltration in LSCC and clinical outcome. The aim of this research was tantamount to comprehensively investigate the effect 22 tumor infiltrating (TIICs) on prognosis patients. Methods In our research, CIBERSORT algorithm utilized calculate proportion TIICs 502 cases from TCGA cohort. Cases with a P -value <0.05 were kept for further study. Using algorithm, we first investigated difference normal tissue subpopulations cells. Kaplan-Meier analysis used analyze LSCC. An risk score model constructed based correlated LSCC-related recurrence. Multivariate cox regression whether independent factor prediction Nomogram under construction predict survival rate Results results different showed that except memory B cells, naive CD4+T T activated NK remaining all had differential tissues ( p < 0.05). revealed two statistically related recurrence, including mast follicular helper Immune three resting retained by forward stepwise analysis. curve patients high-risk group linked poor outcome = 8.277e−03). ROC reliable predicting recurrence (AUC 0.614). just (HR 2.99, 95% CI [1.65–5.40]; 0.0002). nomogram combined clinicopathologic parameter 3-year Conclusions Collectively, tumor-infiltrating play major role