&lt;p&gt;miR-335-5p Regulates Cell Cycle and Metastasis in Lung Adenocarcinoma by Targeting CCNB2&lt;/p&gt;

Wang, Xiyong; Xiao, Huaiqing; Wu, Dongqiang; Zhang, Dongliang; Zhang, Zhihao

doi:10.2147/ott.s245136

Cited by 63 publications

(43 citation statements)

References 29 publications

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“…These two genes are positively correlated with the clinical stage of tumours. Some studies reported that MAD2L1 and CCNB2 are highly expressed in gastric cancer, liver cancer, lung cancer, and other types of cancers; thus, they possibly serve as tumourpromoting genes [17,[35][36][37][38], which are consistent with our immunohistochemical results. Our results further revealed that CCNB2 expression is associated with tumour size.…”

Section: Discussionsupporting

confidence: 91%

“…CCNB2 may responsible for the initiation and progression of liver cancer through the CCNB2/PLK1 pathway and increase the growth and migration of liver cancer cells [35]. miR-335-5p can target the downregulation of CCNB2, thereby inhibiting the occurrence and development of lung adenocarcinoma [17]. In summary, the six genes predicted by our research promote the occurrence of various tumours, and may serve as the diagnostic markers of RMS.…”

Section: Discussionmentioning

confidence: 67%

“…Abnormal expression of MAD2 may be related to the pleomorphic features and atypical mitosis of soft tissue sarcomas and the progression of translocation-associated highgrade tumours [14]. The cell cycle-related molecule CCNB2 is a potential diagnostic or prognostic marker for various cancers, including liver cancer [15], melanoma [16] and lung cancer [17]. However, the clinical roles of MAD2L1 and CCNB2 in RMS are unclear.…”

Section: Introductionmentioning

confidence: 99%

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Bioinformatics Prediction and Experimental Verification Identify MAD2L1 and CCNB2 as Diagnostic Biomarkers of Rhabdomyosarcoma

Xia

Meng

Zhao

et al. 2021

Preprint

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Background: Rhabdomyosarcoma (RMS) is a malignant soft-tissue tumour. In recent years, the tumour microenvironment (TME) has been reported to be associated with the development of tumours. However, the relationship between the occurrence and development of RMS and TME is unclear. The purpose of this study is to identify potential tumor microenvironment-related biomarkers in rhabdomyosarcoma and analyze their molecular mechanisms, diagnostic and prognostic significance.Methods: We first applied bioinformatics method to analyse the tumour samples of 187 patients with rhabdomyosarcoma (RMS) from the Gene Expression Omnibus database (GEO). Then, we used cell function and molecular biology techniques to study the progress of RMS.Results: Bioinformatics results show that the RMS TME key genes were screened, and a TME-related tumour clinical staging model was constructed. The top 10 hub genes were screened through the establishment of a protein-protein interaction network, and then Gene Expression Profiling Interactive Analysis was conducted to measure the overall survival (OS) of the 10 hub genes in the sarcoma cases in The Cancer Genome Atlas (TCGA). Six differential genes of statistical significance were acquired. The correlation between these six differential genes and the clinical stage of RMS was analysed. Our data found that the expression levels of MAD2L1 and CCNB2 negatively correlated with the OS of RMS patients and positively correlated with the clinical stage of RMS patients. Immunohistochemical results also confirmed that the expression levels of MAD2L1 (30/33, 87.5%) and CCNB2 (33/33, 100%) were remarkably higher in RMS group than in normal control group (0/11, 0%). Moreover, the expression of CCNB2 was related to tumour size. Further gene set enrichment analysis revealed that the genes in MAD2L1 and CCNB2 groups with high expression were mainly related to the mechanism of tumour metastasis and recurrence. In the low-expression MAD2L1 and CCNB2 groups, the genes were enriched in the metabolic and immune pathways. Downregulation of MAD2L1 and CCNB2 suppressed the growth, invasion, migration, and cell cycling of RMS cells and promoted their apoptosis. The CIBERSORT immune cell fraction analysis indicated that the expression levels of MAD2L1 and CCNB2 affected the immune status in the TME. Conclusions: The expression levels of MAD2L1 and CCNB2 may help guide the prognosis of patients with RMS and the clinical staging of tumours.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

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Bioinformatics Prediction and Experimental Verification Identify MAD2L1 and CCNB2 as Diagnostic Biomarkers of Rhabdomyosarcoma

Xia

Meng

Zhao

et al. 2021

Preprint

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“…Moreover, some studies have also indicated that the six hub mRNAs could be used as promising biomarkers related to the metastasis or prognosis of cancer. For example, over-expression of BUB1B is associated with poor prognosis in patients with prostate cancer, and could promote proliferation and migration of prostate cancer cells ( 35 ); Wang et al ( 36 ) proposed that miR-335-5p could regulate metastasis of lung adenocarcinoma by targeting CCNB2. Yan et al ( 37 ) showed that KIF18B could act as a promoting factor for proliferation and metastasis of cutaneous melanoma.…”

Section: Discussionmentioning

confidence: 99%

Construction of Competitive Endogenous RNA Network and Verification of 3-Key LncRNA Signature Associated With Distant Metastasis and Poor Prognosis in Patients With Clear Cell Renal Cell Carcinoma

Zhang

Tang

et al. 2021

Front. Oncol.

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Clear cell renal cell carcinoma (ccRCC) is a common malignancy with high distant metastasis rate. Long non-coding RNAs (LncRNAs) are reported to be upregulated or downregulated in multiple cancers and play a crucial role in the metastasis of tumors or prognosis. Therefore, the purpose of our study is to construct a prognostic signature for ccRCC based on distant metastasis-related lncRNAs and explore the involved potential competitive endogenous RNA (ceRNA) network. The differentially expressed genes (DEGs) screened from the database of the cancer genome atlas (TCGA) were used to construct a co-expression network and identify the distant metastasis-related module by weighted gene co-expression network analysis (WGCNA). Key genes with metastatic and prognostic significance were identified through rigorous screening, including survival analysis, correlation analysis, and expression analyses in stage, grade, and distant metastasis, and were verified in the data set of gene expression omnibus (GEO) and the database from gene expression profiling interactive analysis (GEPIA). The potential upstream miRNAs and lncRNAs were predicted via five online databases and LncBase. Here, we constructed a ceRNA network of key genes that are significantly associated with the distant metastasis and prognosis of patients with ccRCC. The distant metastasis-related lncRNAs were used to construct a risk score model through the univariate, least absolute shrinkage selection operator (LASSO), and multivariate Cox regression analyses, and the patients were divided into high- and low-risk groups according to the median of the risk score. The Kaplan–Meier survival analysis demonstrated that mortality was significantly higher in the high-risk group than in the low-risk group. Considering the other clinical phenotype, the Cox regression analyses indicated that the lncRNAs model could function as an independent prognostic factor. Quantitative real-time (qRT)-PCR in the tissues and cells of ccRCC verified the high-expression level of three lncRNAs. Gene set enrichment analysis (GSEA) revealed that the lncRNA prognostic signature was mainly enriched in autophagy- and immune-related pathways, indicating that the autophagy and immune functions may play an important role in the distant metastasis of ccRCC. In summary, the constructed distant metastasis-related lncRNA signature could independently predict prognosis in patients with ccRCC, and the related ceRNA network provided a new sight on the potential mechanism of distant metastasis and a promising therapeutic target for ccRCC.

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“… 14 miR-335-5p overexpression suppressed the metastasis of lung adenocarcinoma cells via downregulating CCNB2 . 15 miR-152-3p was identified to act as a tumor suppressor in several cancers, such as prostate cancer and glioma. 16 , 17 Nevertheless, the biological significance of miR-152-3p in ccRCC is still obscure.…”

Section: Introductionmentioning

confidence: 99%

LncRNA HCG18 Promotes Clear Cell Renal Cell Carcinoma Progression by Targeting miR-152-3p to Upregulate RAB14

Yu¹,

Gong²,

Yao³

et al. 2021

CMAR

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Background Long noncoding RNAs (lncRNAs) have been regarded as crucial regulators in many cancers, including clear cell renal cell carcinoma (ccRCC). This research aimed to explore the biological role and molecular mechanism of lncRNA HCG18 in ccRCC. Materials and Methods The expression levels of HCG18, miR-152-3p and RAB14 were examined by RT-qPCR. Cell viability, migration and invasion were examined by CCK-8 and transwell assays. Luciferase reporter and RIP assays were adopted to verify the interaction between miR-152-3p and HCG18 or RAB14 . Results It was found that HCG18 expression was highly expressed in ccRCC tissues and cells, and patients with high expression of HCG18 had a short overall survival time. Moreover, HCG18 depletion attenuated ccRCC cell viability, migration and invasion. In addition, miR-152-3p was confirmed as a downstream target of HCG18 and was inversely regulated by HCG18 , and RAB14 was a target of miR-152-3p . Functional assays demonstrated that miR-152-3p silencing or RAB14 addition abolished the inhibitory effects of HCG18 knockdown on ccRCC progression. Conclusion The results of the present study indicated that HCG18 accelerated the development and progression of ccRCC by upregulating RAB14 via sponging miR-152-3p , suggesting a potential therapeutic target for patients with ccRCC.

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<p>miR-335-5p Regulates Cell Cycle and Metastasis in Lung Adenocarcinoma by Targeting CCNB2</p>

Cited by 63 publications

References 29 publications

Bioinformatics Prediction and Experimental Verification Identify MAD2L1 and CCNB2 as Diagnostic Biomarkers of Rhabdomyosarcoma

Bioinformatics Prediction and Experimental Verification Identify MAD2L1 and CCNB2 as Diagnostic Biomarkers of Rhabdomyosarcoma

Construction of Competitive Endogenous RNA Network and Verification of 3-Key LncRNA Signature Associated With Distant Metastasis and Poor Prognosis in Patients With Clear Cell Renal Cell Carcinoma

LncRNA HCG18 Promotes Clear Cell Renal Cell Carcinoma Progression by Targeting miR-152-3p to Upregulate RAB14

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