Literature DB >> 31187432

Unearthing Regulatory Axes of Breast Cancer circRNAs Networks to Find Novel Targets and Fathom Pivotal Mechanisms.

Farzaneh Afzali1,2, Mahdieh Salimi3.   

Abstract

Circular RNAs (circRNAs) possess valuable characteristics for both diagnosis and treatment of several human cancers including breast cancer (BC). In this study, we combined several systems, biology tools and approaches to identify influential BC circRNAs, miRNAs, and related mRNAs as the members of competing endogenous RNAs (ceRNAs) networks and related RNA binding proteins (RBPs) to study and decipher the BC-triggering biological processes and pathways. Rooting from the identified total of 25 co-differentially expressed circRNAs (DECs) between triple negative (TN) and luminal A subtypes of BC from microarray analysis, five hub DECs (hsa_circ_0003227, hsa_circ_0001955, hsa_circ_0020080, hsa_circ_0001666, and hsa_circ_0065173) and top eleven RBPs (AGO1, AGO2, EIF4A3, FMRP, HuR (ELAVL1), IGF2BP1, IGF2BP2, IGF2BP3, EWSR1, FUS, and PTB) were explored to form the upper stream regulatory elements. All the hub circRNAs were regarded as a super sponge having multiple miRNA response elements (MREs). Then, three BC leading miRNAs (hsa-miR-149, hsa-miR-182, and hsa-miR-383) were also introduced from merging several established ceRNAs networks. The predicted 7- and 8-mer MREs matches between hub circRNAs and leading miRNAs ensured their enduring regulatory capability. The mined downstream mRNAs of the circRNAs-miRNAs network then were presented to STRING database to form the PPI network and to decipher the issue from another point of view. The BC interconnected enriched pathways and processes guarantee the merits of the ceRNAs network's members as targetable therapeutic elements. This study suggested extensive panels of novel therapeutic targets that are in charge of BC progression, hence their impressive role cannot be excluded and needs deeper empirical laboratory designs.

Entities:  

Keywords:  Breast cancer; Microarray analysis; Regulatory network; circRNA; miRNA

Mesh:

Substances:

Year:  2019        PMID: 31187432     DOI: 10.1007/s12539-019-00339-6

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  10 in total

1.  Construction of a circRNA-Related ceRNA Prognostic Regulatory Network in Breast Cancer.

Authors:  Huan Song; Jian Sun; Weimin Kong; Ye Ji; Dian Xu; Jianming Wang
Journal:  Onco Targets Ther       Date:  2020-08-20       Impact factor: 4.147

2.  Analysis of Circular RNA-Related Competing Endogenous RNA Identifies the Immune-Related Risk Signature for Colorectal Cancer.

Authors:  Wei Song; Jun Ren; Chuntao Wang; Yuhang Ge; Tao Fu
Journal:  Front Genet       Date:  2020-06-03       Impact factor: 4.599

3.  Circular RNA hsa_circ_0001666 sponges miR‑330‑5p, miR‑193a‑5p and miR‑326, and promotes papillary thyroid carcinoma progression via upregulation of ETV4.

Authors:  Ying Qi; Jingni He; Ying Zhang; Lidong Wang; Yifan Yu; Baiyu Yao; Zhong Tian
Journal:  Oncol Rep       Date:  2021-03-24       Impact factor: 3.906

4.  The Involvement of the hsa_circ_0088494-miR-876-3p-CTNNB1/CCND1 Axis in Carcinogenesis and Progression of Papillary Thyroid Carcinoma.

Authors:  Weiyang Lou; Bisha Ding; Jiannan Wang; Yongfang Xu
Journal:  Front Cell Dev Biol       Date:  2020-12-09

5.  RNA-binding protein IGF2BP2 enhances circ_0000745 abundancy and promotes aggressiveness and stemness of ovarian cancer cells via the microRNA-3187-3p/ERBB4/PI3K/AKT axis.

Authors:  Shengtan Wang; Zaihong Li; Genhai Zhu; Lan Hong; Chunyan Hu; Kang Wang; Kaiying Cui; Chunbo Hao
Journal:  J Ovarian Res       Date:  2021-11-13       Impact factor: 4.234

6.  Circ-CSNK1G1 promotes cell proliferation, migration, invasion and glycolysis metabolism during triple-negative breast cancer progression by modulating the miR-28-5p/LDHA pathway.

Authors:  Xiaochen Zan; Wenfang Li; Geng Wang; Jie Yuan; Yongbiao Ai; Jun Huang; Zhi Li
Journal:  Reprod Biol Endocrinol       Date:  2022-09-15       Impact factor: 4.982

7.  Identification of the hsa_circ_0039466/miR-96-5p/FOXO1 regulatory network in hepatocellular carcinoma by whole-transcriptome analysis.

Authors:  Feng Yuan; Yongchang Tang; Mingbo Cao; Yupeng Ren; Yuxuan Li; Gaoyuan Yang; Qifeng Ou; Francisco Tustumi; Giovanni Battista Levi Sandri; Driss Raissi; Christine Pocha; Meihai Deng; Zhicheng Yao
Journal:  Ann Transl Med       Date:  2022-07

8.  Circ_0039908/miR-let-7c/RRM2 axis was identified played an important role in lung adenocarcinoma by integrated analysis.

Authors:  Weijie Zhang; Jun Chen; Yue Li; Ruochen Zhang; Anqi Wang; Yuanyuan Zeng; Jianjie Zhu; Zeyi Liu; Jian-An Huang
Journal:  J Cancer       Date:  2022-07-18       Impact factor: 4.478

9.  Whole-transcriptome analysis reveals a potential hsa_circ_0001955/hsa_circ_0000977-mediated miRNA-mRNA regulatory sub-network in colorectal cancer.

Authors:  Bisha Ding; Minya Yao; Weimin Fan; Weiyang Lou
Journal:  Aging (Albany NY)       Date:  2020-03-28       Impact factor: 5.682

10.  Circular RNA-Associated Competing Endogenous RNA Network and Prognostic Nomogram for Patients With Colorectal Cancer.

Authors:  Wei Song; Tao Fu
Journal:  Front Oncol       Date:  2019-11-08       Impact factor: 6.244

  10 in total

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