Multi-Omics Analysis of the Expression and Prognosis for FKBP Gene Family in Renal Cancer

被引:12
|
作者
Sun, Zeqiang [1 ]
Qin, Xin [1 ]
Fang, Juanjuan [2 ]
Tang, Yueqing [1 ]
Fan, Yidong [1 ]
机构
[1] Shandong Univ, Qilu Hosp, Dept Urol, Cheeloo Coll Med, Jinan, Peoples R China
[2] Dezhou Peoples Hosp, Dept Anesthesiol & Day Surg, Dezhou, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
FK506-binding protein; renal cell carcinoma; prognostic model; diagnosis; biomarker; IMMUNOSUPPRESSANT FK506; BINDING-PROTEIN; RISK-FACTORS; DOMAIN; CALCINEURIN; BIOMARKERS; MTOR;
D O I
10.3389/fonc.2021.697534
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background The FK506-binding protein (FKBP) is a family of intracellular receptors that can bind specifically to the immunosuppressant FK506 and rapamycin. Although FKBPs play crucial roles in biological processes and carcinogenesis, their prognostic value and molecular mechanism in clear cell renal cell carcinoma (ccRCC) remain unclear. Methods Using pan-cancer data from The Cancer Genome Atlas (TCGA) and public databases, we analyzed the expression and correlation of FKBPs in 33 tumor types. Survival and Cox regression analyses were employed to explore the prognostic value of FKBPs. The relationship with tumor microenvironment and stemness indices was taken into account to evaluate the function of FKBPs. We constructed a risk score model to predict the prognosis of patients with ccRCC. The receiver operating characteristic (ROC) curve was performed to further test the prognostic ability of our model. Nomogram, joint effects analysis, and clinical relevance were performed to assist the clinician. Gene set enrichment analysis (GSEA) and cell line experiments were performed to investigate the function and molecular mechanisms of FKBPs in patients with ccRCC. Paired clinical specimens and multi-omics analysis were used to further validate and explore the factors affecting gene expression in ccRCC patients. Results The expression levels of FKBP10 and FKBP11 were higher in ccRCC tissues than in normal tissues. The alteration in expression may be because of the degree of DNA methylation. Increased expression levels of FKBP10 and FKBP11 were associated with worse overall survival (OS). More importantly, GSEA revealed that FKBP10 is mainly involved in cell metabolism and autophagy, whereas FKBP11 is mainly associated with immune-related biological processes and autophagy. Cell Counting Kit 8 (CCK-8) and Transwell assays revealed that knockdown of FKBP10 and FKBP11 inhibits proliferation, migration, and invasion of the ccRCC cell line. Conclusion FKBP10 and FKBP11 play important roles in ccRCC phenotypes and are potential prognostic markers as well as new therapeutic targets for patients with ccRCC.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Comprehensive multi-omics analysis of tryptophan metabolism-related gene expression signature to predict prognosis in gastric cancer
    Luo, Peng
    Chen, Guojun
    Shi, Zhaoqi
    Yang, Jin
    Wang, Xianfa
    Pan, Junhai
    Zhu, Linghua
    FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [2] Expression characteristic, immune signature, and prognosis value of EFNA family identified by multi-omics integrative analysis in pan-cancer
    Jiao, Zonglin
    Feng, Xiao
    Cui, Yuqing
    Wang, Lei
    Gan, Junqing
    Zhao, Yanbin
    Meng, Qingwei
    BMC CANCER, 2022, 22 (01)
  • [3] Expression characteristic, immune signature, and prognosis value of EFNA family identified by multi-omics integrative analysis in pan-cancer
    Zonglin Jiao
    Xiao Feng
    Yuqing Cui
    Lei Wang
    Junqing Gan
    Yanbin Zhao
    Qingwei Meng
    BMC Cancer, 22
  • [4] Multi-Omics Analysis of the Prognosis and Biological Function for TRPV Channel Family in Clear Cell Renal Cell Carcinoma
    Jiang, Yuxiong
    Han, Dongxu
    Zhao, Yifan
    Zhang, Chen
    Shi, Xiujuan
    Gu, Wenyu
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [5] Multi-omics analysis of the prognosis and therapeutic significance of circadian clock in ovarian cancer
    Zhu, Jinyan
    Zhou, Qianyu
    Pan, Min
    Zhou, Cankun
    GENE, 2021, 788
  • [6] Multi-omics analysis of expression profile and prognostic values of connexin family in LUAD
    Jiang, Peng
    Huo, Xingfa
    Dong, Bowen
    Zhou, Na
    Zhang, Xiaochun
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (14) : 12791 - 12806
  • [7] Multi-omics analysis of expression profile and prognostic values of connexin family in LUAD
    Peng Jiang
    Xingfa Huo
    Bowen Dong
    Na Zhou
    Xiaochun Zhang
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 12791 - 12806
  • [8] Identification of a Six Gene Prognosis Signature for Papillary Thyroid Cancer Using Multi-Omics Methods and Bioinformatics Analysis
    Ren, He
    Liu, Xin
    Li, Fuxin
    He, Xianghui
    Zhao, Na
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [9] Multi-omics analysis of the expression and prognostic value of the butyrophilins in breast cancer
    Ren, He
    Li, Shuliang
    Liu, Xin
    Li, Wanjing
    Hao, Jianlei
    Zhao, Na
    JOURNAL OF LEUKOCYTE BIOLOGY, 2021, 110 (06) : 1181 - 1195
  • [10] Multi-Omics Analysis of GNL3L Expression, Prognosis, and Immune Value in Pan-Cancer
    Liu, Pei
    Guo, Wenjia
    Su, Ying
    Chen, Chen
    Ma, Yuhua
    Ma, Ping
    Chen, Cheng
    Lv, Xiaoyi
    CANCERS, 2022, 14 (19)