An Inflammation-Immunity Classifier of 11 Chemokines for Prediction of Overall Survival in Head and Neck Squamous Cell Carcinoma
| Autor: | Yan Tong, Yushan Liang, Wanmeng Cui, Xiaoying Zhou, Guofei Feng, Guangwu Huang, Suhua Zhong, Zhe Zhang, Xiaoyu Gao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Oncology
Adult Male medicine.medical_specialty 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Clinical Research Internal medicine Databases Genetic medicine Carcinoma Biomarkers Tumor Humans Survival analysis Aged Proportional Hazards Models Aged 80 and over Receiver operating characteristic Proportional hazards model business.industry Squamous Cell Carcinoma of Head and Neck Gene Expression Profiling Hazard ratio General Medicine Middle Aged medicine.disease Prognosis Head and neck squamous-cell carcinoma Survival Analysis Confidence interval Squamous carcinoma ROC Curve Head and Neck Neoplasms 030220 oncology & carcinogenesis Chemokines CC Carcinoma Squamous Cell Female Chemokines business Transcriptome |
| Zdroj: | Medical Science Monitor : International Medical Journal of Experimental and Clinical Research |
| ISSN: | 1643-3750 1234-1010 |
| Popis: | BACKGROUND Chemokines are important in inflammation, immunity, tumor progression, and metastasis. The purpose of this research was to find an integrated-RNA signature of chemokine family genes to predict the survival prognosis in head and neck squamous carcinoma (HNSC) patients. MATERIAL AND METHODS Relevant data of 504 HNSC patients were extracted from The Cancer Genome Atlas (TCGA) database. Through analyzing RNA sequencing data, the univariate Cox model was used to identify chemokine family genes associated with survival and then to develop a multiple-RNA signature in the training set. The prediction value of this multiple-RNA signature was further verified in the validation and entire sets. The receiver operating characteristic curves were used to assess the predictive value of this multiple-RNA signature. RESULTS Eleven chemokines were included in this prognostic signature. Based on this 11-chemokine signature, we further categorized patients as high or low risk. Compared with low-risk patients, high-risk patients had shorter overall survival (OS) time in the training set [hazard ratio (HR)=3.497, 95% confidence interval (CI)=2.142-5.711, p |
| Databáze: | OpenAIRE |
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