&lt;p&gt;HIPK3 Promotes Growth and Metastasis of Esophageal Squamous Cell Carcinoma via Regulation of miR-599/c-MYC Axis&lt;/p&gt;

Ba, Yue; Liu, Yining; Li, Changsheng; Zhu, Yu; Xing, Wei

doi:10.2147/ott.s217087

Cited by 14 publications

(17 citation statements)

References 44 publications

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“…The metastasis of osteosarcoma cells is mediated through the circHIPK3-miR-637/STAT3 signaling pathway ( 46 , 47 ). In animal experiments, circHIPK3 promoted the proliferation and metastasis of esophageal squamous cell carcinoma cells by mediating the circHIPK3-miR-599/c-MYC signaling pathway ( 48 ).…”

Section: Circhipk3 Biogenesismentioning

confidence: 99%

CircHIPK3: Key Player in Pathophysiology and Potential Diagnostic and Therapeutic Tool

et al. 2021

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A large number of studies in China and other countries have confirmed that circularHIPK3 (circHIPK3) plays an important role in the pathophysiological processes of various diseases. Through the action of sponge miRNA (miR), circHIPK3 regulates cell proliferation, differentiation, and migration, and plays a key role in disease processes. By referring to a large number of research reports, this article explores the specific functional role of circHIPK3 in fibrotic diseases, cancer, and other diseases. This review aims to clarify the role of circHIPK3 in disease processes in order to aid further studies into the specific pathogenesis and clinical diagnosis of various diseases and provide new ideas for treatments.

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Section: Circhipk3 Biogenesismentioning

confidence: 99%

CircHIPK3: Key Player in Pathophysiology and Potential Diagnostic and Therapeutic Tool

et al. 2021

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“…Meanwhile, MiR150 was closely related to the metastasis of nasopharyngeal carcinoma [ 183 ]. Circ RNAs Circ_0008035 miR-599/EIF4A1 [ 104 ] miR599/c-Myc [ 184 ] Circ_0008035 was increased in GC tissues to suppress ferroptosis via miR-599/EIF4A1 axis [ 104 ]. Additionally, miR599/c-Myc pathway was also involved in the metastasis of esophageal squamous cell carcinoma [ 184 ].…”

Section: Pyroptosis In Cancer Metastasismentioning

confidence: 99%

Non-coding RNAs in necroptosis, pyroptosis and ferroptosis in cancer metastasis

et al. 2021

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Distant metastasis is the main cause of death for cancer patients. Recently, the newly discovered programmed cell death includes necroptosis, pyroptosis, and ferroptosis, which possesses an important role in the process of tumor metastasis. At the same time, it is widely reported that non-coding RNA precisely regulates programmed death and tumor metastasis. In the present review, we summarize the function and role of necroptosis, pyrolysis, and ferroptosis involving in cancer metastasis, as well as the regulatory factors, including non-coding RNAs, of necroptosis, pyroptosis, and ferroptosis in the process of tumor metastasis.

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“…Based on the existing literature, we can verify that circRNA hsa_circ_0001649 and circRNA hsa_circ_0001141 are related to liver cancer [ 29 , 30 ]. In addition, a recently published paper showed that circRNA hsa_circ_0000284 promotes gemcitabine sensitivity in bladder cancer [ 31 ] and has also been verified to be related to esophageal cancer via microRNA [ 32 ]. A published study also showed that circRNA hsa_circ_0001141 is associated with esophageal cancer [ 33 ].…”

Section: Resultsmentioning

confidence: 99%

Double matrix completion for circRNA-disease association prediction

et al. 2021

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Background Circular RNAs (circRNAs) are a class of single-stranded RNA molecules with a closed-loop structure. A growing body of research has shown that circRNAs are closely related to the development of diseases. Because biological experiments to verify circRNA-disease associations are time-consuming and wasteful of resources, it is necessary to propose a reliable computational method to predict the potential candidate circRNA-disease associations for biological experiments to make them more efficient. Results In this paper, we propose a double matrix completion method (DMCCDA) for predicting potential circRNA-disease associations. First, we constructed a similarity matrix of circRNA and disease according to circRNA sequence information and semantic disease information. We also built a Gauss interaction profile similarity matrix for circRNA and disease based on experimentally verified circRNA-disease associations. Then, the corresponding circRNA sequence similarity and semantic similarity of disease are used to update the association matrix from the perspective of circRNA and disease, respectively, by matrix multiplication. Finally, from the perspective of circRNA and disease, matrix completion is used to update the matrix block, which is formed by splicing the association matrix obtained in the previous step with the corresponding Gaussian similarity matrix. Compared with other approaches, the model of DMCCDA has a relatively good result in leave-one-out cross-validation and five-fold cross-validation. Additionally, the results of the case studies illustrate the effectiveness of the DMCCDA model. Conclusion The results show that our method works well for recommending the potential circRNAs for a disease for biological experiments.

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<p>HIPK3 Promotes Growth and Metastasis of Esophageal Squamous Cell Carcinoma via Regulation of miR-599/c-MYC Axis</p>

Cited by 14 publications

References 44 publications

CircHIPK3: Key Player in Pathophysiology and Potential Diagnostic and Therapeutic Tool

CircHIPK3: Key Player in Pathophysiology and Potential Diagnostic and Therapeutic Tool

Non-coding RNAs in necroptosis, pyroptosis and ferroptosis in cancer metastasis

Double matrix completion for circRNA-disease association prediction

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