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Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Risk miRNA screening of ovarian cancer based on miRNA functional synergistic network
Huanchun Ying1, Jing Lyu, Tianshu Ying
1Department of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, No,36, Sanhao Street, Heping District, Shenyang, Liaoning Province 110004, China. huanchunying2@hotmail.com.
Background:
miRNAs are proved to have causal roles in tumorgenesis involving various types of human cancers, but the mechanism is not clear. We aimed to explore the effect of miRNAs on the development of ovarian cancer and the underlying mechanism.
Methods:
The miRNA expression profile GSE31801 was downloaded from GEO (Gene Expression Omnibus) database. Firstly, the differentially expressed miRNAs were screened. Target genes of the miRNAs were collected from TargetScan, PicTar, miRanda, and DIANA-microT database, then the miRNA-miRNA co-regulating network was constructed using miRNA pairs with common regulated target genes. Next, the functional modules in the network were studied, the miRNA pairs regulated at least one modules were enriched to form the miRNA functional synergistic network (MFSN).
Results:
Risk miRNA were selected in MFSN according to the topological structure. Transcript factors (TFs) in MFSN were identified, followed by the miRNA-transcript factor networks construction. Totally, 42 up- and 61 down-regulated differentially expressed miRNAs were identified, of which 68 formed 2292 miRNA pairs in the miRNA-miRNA co-regulating network. GO: 0007268 (synaptic transmission) and GO: 0019226 (transmission of nerve impulse) were the two common functions of miRNAs in MFSN, and hsa-miR-579 (36), hsa-miR-942 (31), hsa-miR-105 (31), hsa-miR-150 (34), and hsa-miR-27a* (32) were selected as the hub nodes in MFSN.
Conclusions:
In all, 17 TFs, including CREM, ERG, and CREB1 were screened as the cancer related TFs in MFSN. Other TFs, such as BIN1, FOXN3, FOXK1, FOXP2, and ESRRG with high degrees may be inhibited in ovarian cancer. MFSN gave us a new shed light on the mechanism studies in ovarian cancer.
Insights
MicroRNAs (miRNAs) play a role in ovarian cancer development. This study constructed a miRNA functional synergistic network (MFSN) to uncover underlying mechanisms and identify key regulatory factors.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are implicated in tumorigenesis across various cancers.
- The precise mechanisms by which miRNAs contribute to ovarian cancer remain unclear.
Purpose of the Study:
- To investigate the role of miRNAs in ovarian cancer development.
- To elucidate the underlying molecular mechanisms through network analysis.
Main Methods:
- Downloaded miRNA expression profile GSE31801 from the Gene Expression Omnibus (GEO) database.
- Identified differentially expressed miRNAs and their target genes.
- Constructed a miRNA-miRNA co-regulating network and a miRNA functional synergistic network (MFSN).
Main Results:
- Identified 42 upregulated and 61 downregulated miRNAs, forming 2292 miRNA pairs.
- Discovered "synaptic transmission" and "transmission of nerve impulse" as common miRNA functions within the MFSN.
- Selected key miRNAs (e.g., hsa-miR-579, hsa-miR-942) and 17 cancer-related transcription factors (TFs) within the MFSN.
Conclusions:
- The MFSN provides novel insights into ovarian cancer mechanisms.
- Identified potential inhibitory roles for TFs like BIN1, FOXN3, FOXK1, FOXP2, and ESRRG in ovarian cancer.
- Highlighted the significance of miRNAs and TFs in understanding ovarian cancer pathogenesis.
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