Literature DB >> 33564687

NR3C2-Related Transcriptome Profile and Clinical Outcome in Invasive Breast Carcinoma.

Jianjun Lu1,2,3, Fang Hu4, Yingling Zhou1,2.   

Abstract

BACKGROUND: Increasing evidence has indicated that the nuclear receptor subfamily 3 group C member 2 (NR3C2) may be associated with tumorigenesis and patient prognosis for certain types of tumors. However, the clinical significance of NR3C2 is unclear in invasive breast carcinoma (BRCA).
METHODS: We used bioinformatics to broadly investigate and obtain a deeper understanding of the prognostic significance between NR3C2 and BRCA. RNA-sequencing data and clinical information of patients with BRCA from the Cancer Genome Atlas database were collected for subsequent analysis. The diagnostic efficacy of NR3C2 was evaluated by calculating the receiver operating characteristic curve. The prognostic value of NR3C2 was evaluated by Kaplan-Meier analysis and Cox regression analysis for patients with BRCA. Moreover, the OSbrca database was used to validate NR3C2 as a prognostic biomarker for BRCA. Gene set enrichment analysis (GSEA) and tumor immune infiltration analysis were conducted to explore the molecular mechanism of NR3C2 in BRCA.
RESULTS: The expression level of NR3C2 in BRCA tissues decreased compared to that in normal breast tissues (P < 0.001). NR3C2 presented good diagnostic efficacy (AUC = 0.908). Moreover, the expression of NR3C2 was verified using the Oncomine database. High expression of NR3C2 was statistically associated with prolonged overall survival (HR = 0.65, 95% CI: 0.47-0.91, and P = 0.012), progression-free interval (HR = 0.68, 95% CI: 0.49-0.95, and P = 0.024), and disease-specific survival (HR = 0.57, 95% CI: 0.36-0.89, and P = 0.015) for patients with BRCA. Besides, the prognostic value of NR3C2 was verified by the OSbrca database. GSEA results suggested that enriched pathways included neuroactive ligand-receptor interaction, focal adhesion, and ECM-receptor interaction. NR3C2 expression was moderately correlated with mast cells and some T cell subsets in BRCA.
CONCLUSION: NR3C2 is a potential prognostic biomarker that could help clinicians develop more appropriate treatment plans for individual patients with BRCA.
Copyright © 2021 Jianjun Lu et al.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33564687      PMCID: PMC7867450          DOI: 10.1155/2021/9025481

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


  45 in total

1.  clusterProfiler: an R package for comparing biological themes among gene clusters.

Authors:  Guangchuang Yu; Li-Gen Wang; Yanyan Han; Qing-Yu He
Journal:  OMICS       Date:  2012-03-28

2.  Analysis of blood markers for early breast cancer diagnosis.

Authors:  J Bayo; M A Castaño; F Rivera; F Navarro
Journal:  Clin Transl Oncol       Date:  2017-08-14       Impact factor: 3.405

Review 3.  Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM).

Authors:  M J Duffy; N Harbeck; M Nap; R Molina; A Nicolini; E Senkus; F Cardoso
Journal:  Eur J Cancer       Date:  2017-02-28       Impact factor: 9.162

4.  miR-135b-5p Promotes migration, invasion and EMT of pancreatic cancer cells by targeting NR3C2.

Authors:  Zhengliang Zhang; Xiangming Che; Ni Yang; Zhenghai Bai; Yuan Wu; Li Zhao; Honghong Pei
Journal:  Biomed Pharmacother       Date:  2017-11-28       Impact factor: 6.529

5.  High density of CD204-positive macrophages predicts worse clinical prognosis in patients with breast cancer.

Authors:  Yuko Miyasato; Takuya Shiota; Koji Ohnishi; Cheng Pan; Hiromu Yano; Hasita Horlad; Yutaka Yamamoto; Mutsuko Yamamoto-Ibusuki; Hirotaka Iwase; Motohiro Takeya; Yoshihiro Komohara
Journal:  Cancer Sci       Date:  2017-07-03       Impact factor: 6.716

6.  Platelet-lymphocyte ratio acts as an indicator of poor prognosis in patients with breast cancer.

Authors:  Yanyun Zhu; Wen Si; Qiong Sun; Boyu Qin; Weihong Zhao; Junlan Yang
Journal:  Oncotarget       Date:  2017-01-03

7.  An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.

Authors:  Jianfang Liu; Tara Lichtenberg; Katherine A Hoadley; Laila M Poisson; Alexander J Lazar; Andrew D Cherniack; Albert J Kovatich; Christopher C Benz; Douglas A Levine; Adrian V Lee; Larsson Omberg; Denise M Wolf; Craig D Shriver; Vesteinn Thorsson; Hai Hu
Journal:  Cell       Date:  2018-04-05       Impact factor: 41.582

8.  NR3C2 gene polymorphism is associated with risk of gestational hypertension in Han Chinese women.

Authors:  Zhenghui Cui; Jianyun Xu; Wenying Jiang
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

9.  OSbrca: A Web Server for Breast Cancer Prognostic Biomarker Investigation With Massive Data From Tens of Cohorts.

Authors:  Zhongyi Yan; Qiang Wang; Xiaoxiao Sun; Bingbing Ban; Zhendong Lu; Yifang Dang; Longxiang Xie; Lu Zhang; Yongqiang Li; Wan Zhu; Xiangqian Guo
Journal:  Front Oncol       Date:  2019-12-20       Impact factor: 6.244

10.  miR-4709 overexpression facilitates cancer proliferation and invasion via downregulating NR3C2 and is an unfavorable prognosis factor in colon adenocarcinoma.

Authors:  Miao Yu; Hua-Long Yu; Quan-Hui Li; Li Zhang; Yu-Xin Chen
Journal:  J Biochem Mol Toxicol       Date:  2019-10-17       Impact factor: 3.642

View more
  3 in total

1.  Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma.

Authors:  Xiao-Liang Xing; Yan Liu; Jiheng Liu; Huanfa Zhou; Huirong Zhang; Qi Zuo; Ping Bu; Tong Duan; Yan Zhou; Zhiquan Xiao
Journal:  Front Immunol       Date:  2022-05-10       Impact factor: 8.786

2.  Integrated weighted gene coexpression network analysis identifies Frizzled 2 (FZD2) as a key gene in invasive malignant pleomorphic adenoma.

Authors:  Zhenyuan Han; Huiping Ren; Jingjing Sun; Lihui Jin; Qin Wang; Chuanbin Guo; Zhen Tian
Journal:  J Transl Med       Date:  2022-01-05       Impact factor: 5.531

3.  Peripheral blood transcriptome heterogeneity and prognostic potential in lung cancer revealed by RNA-Seq.

Authors:  Qi Zhang; Manchao Kuang; Haiyin An; Yajing Zhang; Kai Zhang; Lin Feng; Lei Zhang; Shujun Cheng
Journal:  J Cell Mol Med       Date:  2021-07-21       Impact factor: 5.310

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.