Literature DB >> 28315020

Novel Biomarkers for Non-functioning Invasive Pituitary Adenomas were Identified by Using Analysis of microRNAs Expression Profile.

Silin Wu1, Ye Gu1, Yuying Huang1, Tyh-Chai Wong1, Hailin Ding1, Tengfei Liu1, Yu Zhang1, Xiaobiao Zhang2,3.   

Abstract

The microRNAs (miRNAs) are involved in multiple pathological processes among various types of tumors. However, the functions of miRNAs in benign brain tumors are largely unexplored. In order to explore the pathogenesis of the invasiveness in non-functional pituitary adenoma (NFPA), the miRNAs expression profile was analyzed between invasive and non-invasive non-functional pituitary adenoma by miRNAs microarray. Six most significant differentially expressed miRNAs were identified including four upregulated miRNAs hsa-miR-181b-5p, hsa-miR-181d, hsa-miR-191-3p, and hsa-miR-598 and two downregulated miRNAs hsa-miR-3676-5p and hsa-miR-383. The functions and corresponding signaling pathways of differentially expressed miRNAs were investigated by bioinformatics techniques, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The result of GO analysis indicates regulation of voltage-gated potassium channel activity, positive regulation of sodium ion transport, positive regulation of GTPase activity, negative regulation of Notch signaling pathway, etc. KEGG pathway reveals a series of biological processes, including prolactin signaling pathway, endocrine and other factor-regulated calcium reabsorption, fatty acid metabolism, neuroactive ligand-receptor interaction, etc. The miRNAs hsa-miR-181a-5p was verified by quantitative real-time PCR, and the expression level was in accordance with the microarray result. Our result can provide the evidence on featured miRNAs which play a prominent role in pituitary adenoma as effective biomarkers and therapeutic targets in the future.

Entities:  

Keywords:  Expression profile; Invasive pituitary adenoma; Non-functioning pituitary adenoma; Pathogenic mechanism; microRNAs

Mesh:

Substances:

Year:  2017        PMID: 28315020     DOI: 10.1007/s10528-017-9794-9

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  24 in total

1.  Integrated miRNA profiling and bioinformatics analyses reveal upregulated miRNAs in gastric cancer.

Authors:  Chen Yuan; Yue Zhang; Wenwen Tu; Yusheng Guo
Journal:  Oncol Lett       Date:  2019-06-19       Impact factor: 2.967

Review 2.  Pathogenesis of non-functioning pituitary adenomas.

Authors:  Maria Chiara Zatelli
Journal:  Pituitary       Date:  2018-04       Impact factor: 4.107

Review 3.  Overview of omics biomarkers in pituitary neuroendocrine tumors to design future diagnosis and treatment strategies.

Authors:  Busra Aydin; Aysegul Caliskan; Kazim Yalcin Arga
Journal:  EPMA J       Date:  2021-06-26       Impact factor: 8.836

Review 4.  Aggressive nonfunctioning pituitary neuroendocrine tumors.

Authors:  Sérgio Portovedo; Leonardo Vieira Neto; Christina Maeda Takiya; Leandro Miranda-Alves; Paula Soares; Denise Pires de Carvalho
Journal:  Brain Tumor Pathol       Date:  2022-06-20       Impact factor: 3.154

5.  Identification of Transcriptional Metabolic Dysregulation in Subtypes of Pituitary Adenoma by Integrated Bioinformatics Analysis.

Authors:  Jintao Hu; Huachun Yin; Bo Li; Hui Yang
Journal:  Diabetes Metab Syndr Obes       Date:  2019-11-27       Impact factor: 3.168

Review 6.  Muti-omics integration analysis revealed molecular network alterations in human nonfunctional pituitary neuroendocrine tumors in the framework of 3P medicine.

Authors:  Siqi Wen; Chunling Li; Xianquan Zhan
Journal:  EPMA J       Date:  2022-02-17       Impact factor: 6.543

7.  Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids.

Authors:  Xiaotong Peng; Yanqun Mo; Junliang Liu; Huining Liu; Shuo Wang
Journal:  Front Bioeng Biotechnol       Date:  2022-03-22

8.  Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs.

Authors:  Duc-Hau Le; Lieven Verbeke; Le Hoang Son; Dinh-Toi Chu; Van-Huy Pham
Journal:  BMC Bioinformatics       Date:  2017-11-14       Impact factor: 3.169

Review 9.  Mitochondrial Dysfunction Pathway Networks and Mitochondrial Dynamics in the Pathogenesis of Pituitary Adenomas.

Authors:  Na Li; Xianquan Zhan
Journal:  Front Endocrinol (Lausanne)       Date:  2019-10-09       Impact factor: 5.555

10.  Fascin promotes the invasion of pituitary adenoma through partial dependence on epithelial-mesenchymal transition.

Authors:  Hong You; Jian Xu; Xiaochun Qin; Guodong Qian; Yang Wang; Fulei Chen; Xiaoxu Shen; Dong Zhao; Qi Liu
Journal:  J Mol Histol       Date:  2021-06-07       Impact factor: 2.611

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