Development of RNA binding proteins expression signature for prognosis prediction in gastric cancer patients

被引:0
作者
Zhou, Liqiang [1 ]
Wu, You [1 ]
Xin, Lin [1 ]
Zhou, Qi [1 ]
Li, Shihao [1 ]
Yuan, Yiwu [1 ]
Wang, Jinliang [1 ]
Wu, Dengzhong [1 ]
机构
[1] Nanchang Univ, Affiliated Hosp 2, Dept Gen Surg, Nanchang 330006, Jiangxi, Peoples R China
来源
AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH | 2020年 / 12卷 / 10期
基金
中国国家自然科学基金;
关键词
Gastric cancer; RNA binding proteins; prognostic signature; bioinformatics; GENE-REGULATION; PROLIFERATION; SURVIVAL;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
It was reported that the expression of RNA binding proteins (RBPs) in malignant tumors is dysregulated and is closely related to tumorigenesis. However, some studies have confirmed the role of RBPs in gastric cancer (GC). We obtained data on gastric cancer in The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx), and identified RBPs that are dysregulated between gastric normal and cancer tissues. Then, we systematically investigated the expression characteristics and clinical prognostic potential of these RBPs through bioinformatics methods. We found 278 dysregulated RBPs in the GC, 91 of which were up-regulated and 181 were down-regulated. We detected 4 hub RBPs (HNRNPL, PABPN1, PCF, SNRPN) are related to overall survival (OS), and 3 hub RBPs (EEF1A2, MRPS5, PCF1) are related to disease-specific survival (DSS), and furthermore, we constructed prognostic signatures. Analysis of the OS and DSS signature showed that the GC patients with high risk groups have worse OS and DSS than the low-risk groups. The receiver operator characteristic (ROC) curves of the 5-year survival rate of OS and DSS prognosis signature were drawn, and the areas under the two curves were 0.62 and 0.64, respectively. We constructed nomograms to predict OS and DSS, and evaluated by the calibration curve, which showed the GC prediction ability of these two models. Furthermore, the expression of the above six genes was verified by PCR, which is consistent with our results.
引用
收藏
页码:6775 / 6792
页数:18
相关论文
共 50 条
  • [41] Identification of a novel gene pairs signature in the prognosis of gastric cancer
    Peng, Pai-Lan
    Zhou, Xiang-Yu
    Yi, Guo-Dong
    Chen, Peng-Fei
    Wang, Fan
    Dong, Wei-Guo
    CANCER MEDICINE, 2018, 7 (02): : 344 - 350
  • [42] Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer
    Li, Wenfei
    Fu, Min
    Zhao, Kun
    Han, Fang
    Bu, Ning
    Wang, Zhanqiu
    EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2021, 278 (04) : 1129 - 1138
  • [43] Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients
    Zhang, Cheng
    Zhang, Chun-Dong
    Ma, Ming-Hui
    Dai, Dong-Qiu
    WORLD JOURNAL OF GASTROENTEROLOGY, 2018, 24 (11) : 1206 - 1215
  • [44] Low expression of lncRNA NBAT-1 promotes gastric cancer development and is associated with poor prognosis
    Gao, Yuan
    Chen, Jianping
    JOURNAL OF BUON, 2019, 24 (02): : 656 - 662
  • [45] A long non-coding RNA signature to improve prognosis prediction of colorectal cancer
    Hu, Ye
    Chen, Hao-Yan
    Yu, Chen-Yang
    Xu, Jie
    Wang, Ji-Lin
    Qian, Jin
    Zhang, Xi
    Fang, Jing-Yuan
    ONCOTARGET, 2014, 5 (08) : 2230 - 2242
  • [46] Discovery of a novel three-long non-coding RNA signature for predicting the prognosis of patients with gastric cancer
    Wang, Yongqiang
    Zhang, Huimin
    Wang, Ju
    JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2020, 11 (04) : 760 - +
  • [47] Identification of an autophagy- and macropinocytosis-related prognostic signature for the prediction of prognosis and therapeutic response in gastric cancer
    Shi, Yuhua
    Qiu, Aifeng
    Cui, Hengfeng
    Lv, Heng
    Zhou, Lei
    GENES & GENOMICS, 2024, 46 (10) : 1149 - 1164
  • [48] Exploration of prognostic genes and risk signature in breast cancer patients based on RNA binding proteins associated with ferroptosis
    Chen, Xiang
    Yang, Changcheng
    Wang, Wei
    He, Xionghui
    Sun, Hening
    Lyu, Wenzhi
    Zou, Kejian
    Fang, Shuo
    Dai, Zhijun
    Dong, Huaying
    FRONTIERS IN GENETICS, 2023, 14
  • [49] Machine learning-based identification of a novel prognosis-related long noncoding RNA signature for gastric cancer
    Zhao, Linli
    Teng, Qiong
    Liu, Yuan
    Chen, Hao
    Chong, Wei
    Du, Fengying
    Xiao, Kun
    Sang, Yaodong
    Ma, Chenghao
    Cui, Jian
    Shang, Liang
    Zhang, Ronghua
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [50] CCL2 expression correlates with Snail expression and affects the prognosis of patients with gastric cancer
    Zhang, Jia
    Yan, Yan
    Cui, Xiaohai
    Zhang, Jing
    Yang, Ya
    Li, Huajing
    Wu, Hongpei
    Li, Junhai
    Wang, Li
    Li, Min
    Liu, Xu
    Wang, Jiansheng
    Duan, Xiaoyi
    PATHOLOGY RESEARCH AND PRACTICE, 2017, 213 (03) : 217 - 221