YY1 and eIF4A3 are mediators of the cell proliferation, migration and invasion in cholangiocarcinoma promoted by circ-ZNF609 by targeting miR-432-5p to regulate LRRC1

Guan, Changhui; Zhao, Yue; Zhang, Xianhe; Liu, Guanglin; Wang, Haicun; Gào, Xin; Zhong, Xian; Jiang, Xingming

doi:10.18632/aging.203735

Cited by 27 publications

(13 citation statements)

References 30 publications

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“…LRRC1 was a LAP protein essential for controlling parietal basal cell polarity and proliferation [ 22 ]. Studies have demonstrated that increased LRRC1 expression promotes malignant biological behavior in hepatocellular carcinoma and cholangiocarcinoma tumor cells [ 23 , 24 ]. ACO2 is a nuclear-encoded mitochondrial protein, and the decreased ACO2 was one independent predictive factor of poor prognosis for gastric cancer patients [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Verification of Ferroptosis Subcluster-Associated Genes Related to Osteosarcoma and Exploration of Immune Targeted Therapy

Jiang

Jike

Gan

et al. 2022

Oxidative Medicine and Cellular Longevity

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Background. Despite tremendous advances in treating osteosarcoma (OS), the survival rates of patients have failed to improve dramatically over the past decades. Ferroptosis, a newly discovered iron-dependent type of regulated cell death, is implicated in tumors, and its features in OS remain unascertained. We designed to determine the involvement of ferroptosis subcluster-related modular genes in OS progression and prognosis. Methods. The OS-related datasets retrieved from GEO and TARGET database were clustered for identifying molecular subclusters with different ferroptosis-related genes (FRGs) expression patterns. Weighted gene coexpression network analysis (WGCNA) was applied to identify modular genes from FRG subclusters. The least absolute shrinkage and selection operator (LASSO) algorithm and multivariable Cox regression analysis were adopted to develop the prognostic model. Potential mechanisms of development and prognosis in OS were explored by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). Then, a comprehensive analysis was conducted for immune checkpoint markers and assessment of predictive power to drug response. The protein expression levels of the three ferroptosis subcluster-related modular genes were verified by immunohistochemistry. Results. Two independent subclusters presenting diverse expression profiles of FRGs were obtained, with significantly different survival states. Ferroptosis subcluster-related modular genes were screened with WGCNA, and the GESA results showed that ferroptosis subcluster-related modular genes could affect the cellular energy metabolism, thus influencing the development and prognosis of osteosarcoma. A prognostic model was established by incorporating three ferroptosis subcluster-related modular genes (LRRC1, ACO2, and CTNNBIP1) and a nomogram by integrating clinical features, and they were evaluated for the predictive power on OS prognosis. The 20 immune checkpoint-related genes confirmed the insensitivity to tumor immunotherapy in high-risk patients. IC50s of Axitinib and Cytarabine suggested a higher sensitivity to the targeted drug. Finally, the quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and immunohistochemistry were consistent with bioinformatics analysis. Conclusion. Ferroptosis are closely associated with the OS prognosis. The risk-scoring model incorporating three ferroptosis subcluster-related modular genes has shown outstanding advantages in predicting patient prognosis.

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Section: Discussionmentioning

confidence: 99%

Verification of Ferroptosis Subcluster-Associated Genes Related to Osteosarcoma and Exploration of Immune Targeted Therapy

Jiang

Jike

Gan

et al. 2022

Oxidative Medicine and Cellular Longevity

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“…It is acknowledged that the controlled expression of miRNAs is indispensable for normal cells, while the aberrant expression of miRNAs may lead to diseases, including cancers [52,53]. As reported, miR-432-5p could be regarded as a tumor inhibitor in human cancers; for example, DRAIC could promote the growth of breast cancer by sponging miR-432-5p to upregulate SLBP [54], circ-ZNF609 could target miR-432-5p to regulate the expression of LRRC1 to promote cholangiocarcinoma [55], and LINC01783 could facilitate cell proliferation, migration and invasion in non-small cell lung cancer by targeting miR-432-5p [56]. However, the underlying function of miR-432-5p in TNBC has not been reported.…”

Section: Discussionmentioning

confidence: 92%

Circ-TRIO promotes TNBC progression by regulating the miR-432-5p/CCDC58 axis

Wang

Yang

et al. 2022

Cell Death Dis

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Numerous studies have shown that circRNAs are aberrantly expressed in various cancers and play a significant role in tumor progression. However, the molecular mechanisms of circRNAs in triple-negative breast cancer (TNBC) remain ambiguous. By intersecting throughput data and qRT-PCR results from tissues and cell lines, circ-TRIO was identified as a potential oncogenic regulator of TNBC. Moreover, circ-TRIO expression was detected in TNBC tissues and was correlated with the recurrence and prognosis of TNBC patients. The circular characteristics of circ-TRIO were verified by RNase R and CHX assays. Functionally, the knockdown of circ-TRIO inhibited the proliferation, migration and invasion of TNBC cells, while the overexpression of circ-TRIO resulted in the opposite impacts. Mechanistically, a dual luciferase reporter assay and RNA immunoprecipitation were performed and indicated that circ-TRIO could combine with miR-432-5p to regulate the expression of coiled-coil domain containing 58 (CCDC58). In summary, our study illustrates that circ-TRIO plays an important role in the progression of TNBC by regulating the miR-432-5p/CCDC58 axis, which could broaden our insight into the underlying mechanisms and provide a novel prognostic marker of TNBC in the clinic.

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“…In order to better demonstrate the role and function of circRNAs, we listed 7 circRNAs that are currently mainly studied, including CDR1as [ 3 , [32] , [33] , [34] , [35] ], circFOXO3 [ [36] , [37] , [38] , [39] , [40] ], circHIPK3 [ [41] , [42] , [43] , [44] , [45] ], circITCH [ [46] , [47] , [48] , [49] , [50] ], circMTO1 [ [50] , [51] , [52] , [53] , [54] , [55] ], circSMARCA5 [ [56] , [57] , [58] , [59] , [60] ] and circZNF609 [ [61] , [62] , [63] , [64] , [65] ]. Moreover, we showed the top 5 most cited articles for these circRNAs ( Table 7 ).…”

Section: Resultsmentioning

confidence: 99%

“…These studies mainly involve cell biology, such as properties of circRNAs [ 32 ], cell cycle [ 36 ], cell apoptosis [ 38 ]and cell growth [ 41 ]; biological functions, such as miRNA sponge [ 3 ], brain function [ 33 , 35 ], insulin transcription and secretion [ 34 ], and cardiac senescence [ 37 ]. The main research area of these circRNAs is tumor study, including prostate cancer [ 39 , 40 , 57 ], bladder cancer [ 42 , 46 , 52 , 56 ], colorectal cancer [ 43 , 53 , 60 , 64 ], hepatocellular carcinoma [ 45 , 47 , 51 ], thyroid cancer [ 48 ], breast cancer [ 49 ], ovarian carcinoma [ 50 ], cervical cancer [ 54 ], lung adenocarcinoma [ 55 , 61 ], non-small cell lung cancer [ 58 ], multiple myeloma [ 59 ], cholangiocarcinoma [ 62 ], glioma [ 63 ], and gastric cancer [ 65 ]. Study of diabetes mellitus was also reported in one article [ 44 ].…”

Section: Resultsmentioning

confidence: 99%