MicroRNA‑744‑5p is downregulated in colorectal cancer and targets SEPT2 to suppress the malignant phenotype

Zhang, Wei; Liao, Kai; Liu, Dongning

doi:10.3892/mmr.2020.11692

Cited by 15 publications

(6 citation statements)

References 32 publications

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“…In cancers such as hepatocellular carcinoma (Chen, Shi et al 2019) and pancreatic cancer (Kim, Yoo et al 2019), hsa-mir-744 is aberrantly expressed. The present study showed its signi cant low expression in CRC, a nding that is consistent with those of Zhang et al (Zhang, Liao et al 2021) and Shen et al (Shen and Li 2018), whose studies showed that the down-regulation of hsa-mir-744 expression has a suppressive effect on the malignant phenotype of CRC. A review of the literature revealed that there are no reports on the target genes MIPOL1 and TNSF15 in CRC.…”

Section: Discussionsupporting

confidence: 93%

Research revealed a targeted regulatory relationship between hsa-mir-296 or hsa-mir-744 and TNSF15 in colorectal cancer

Tan¹,

Zhang²,

et al. 2023

Preprint

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BACKGROUD: Colorectal cancer has an extremely high incidence and mortality rate, and early detection and treatment is important for health. METHODS: DEmiRNAs were searched for in different datasets. core DEmiRNAs were identified by one-factor cox analysis and target genes were predicted using targetscan and miRDB. Select intersections of target genes and DEmRNAs to identify key genes by survival analysis. RESULTS: Three miRNAs in COAD and two miRNAs in READ were identified as core DEmiRNAs. After searching for targeted mRNA and conducting survival and expression analysis, it was found that hsa-mir-296-TNSF15 and hsa-mir-744-TNSF15 are effective regulatory networks in colorectal cancer. CONCLUSION: This study identified hsa-mir-296-TNSF15 and hsa-mir-744-TNSF15 as effective regulatory networks related to the prognosis of colorectal cancer.

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Section: Discussionsupporting

confidence: 93%

Research revealed a targeted regulatory relationship between hsa-mir-296 or hsa-mir-744 and TNSF15 in colorectal cancer

Tan¹,

Zhang²,

et al. 2023

Preprint

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“…2021 ). This miRNA targets HNRNPC-202, which encodes for the canonical protein isoform P07910-1 ( Zhang et al. 2021a ).…”

Section: Discussionmentioning

confidence: 99%

“…For example, miR-744 was induced upon chronic arsenic exposure for 7-wk (Banerjee et al 2021). This miRNA targets HNRNPC-202, which encodes for the canonical protein isoform P07910-1 (Zhang et al 2021a). The canonical isoform was predicted to be induced by rMATS analysis (mean Dw: 0.104; Excel Table S2), but the canonical protein isoform expression did not differ (Excel Table S2).…”

Section: Discussionmentioning

confidence: 99%

Temporal Modulation of Differential Alternative Splicing in HaCaT Human Keratinocyte Cell Line Chronically Exposed to Arsenic for up to 28 Wk

Cardoso

Banerjee

Al-Eryani

et al. 2022

Environ Health Perspect

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Background: Chronic arsenic exposure via drinking water is associated with an increased risk of developing cancer and noncancer chronic diseases. Pre-mRNAs are often subject to alternative splicing, generating mRNA isoforms encoding functionally distinct protein isoforms. The resulting imbalance in isoform species can result in pathogenic changes in critical signaling pathways. Alternative splicing as a mechanism of arsenic-induced toxicity and carcinogenicity is understudied. Objective: This study aimed to accurately profile differential alternative splicing events in human keratinocytes induced by chronic arsenic exposure that might play a role in carcinogenesis. Methods: Independent quadruplicate cultures of immortalized human keratinocytes (HaCaT) were maintained continuously for 28 wk with 0 or sodium arsenite. RNA-sequencing (RNA-Seq) was performed with poly(A) RNA isolated from cells harvested at 7, 19, and 28 wk with subsequent replicate multivariate analysis of transcript splicing (rMATS) analysis to detect and quantify differential alternative splicing events. Reverse transcriptase-polymerase chain reaction (RT-PCR) for selected alternative splicing events was performed to validate RNA-Seq predictions. Functional enrichment was performed by gene ontology (GO) analysis of the differential alternative splicing event data set at each time point. Results: At least 600 differential alternative splicing events were detected at each time point tested, comprising all the five main types of alternative splicing and occurring in both open reading frames (ORFs) and untranslated regions (UTRs). Based on functional relevance ELK4 , SHC1 , and XRRA1 were selected for validation of predicted alternative splicing events at 7 wk by RT-PCR. Densitometric analysis of RT-PCR data corroborated the rMATS predicted alternative splicing for all three events. Protein expression validation of the selected alternative splicing events was challenging given that very few isoform-specific antibodies are available. GO analysis demonstrated that the enriched terms in differential alternatively spliced mRNAs changed dynamically with the time of exposure. Notably, RNA metabolism and splicing regulation pathways were enriched at the 7-wk time point, when the greatest number of differentially alternatively spliced mRNAs are detected. Our preliminary proteomic analysis demonstrated that the expression of the canonical isoforms of the splice regulators DDX42, RMB25, and SRRM2 were induced upon chronic arsenic exposure, corroborating the splicing predictions. Discussion: These results using cultures of HaCaT cells suggest that arsenic exposure disrupted an alternative splice factor network and induced time-dependent genome-wide differential alternative splicing that likely contributed to the changing proteomic lands...

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“…More and more evidences show that Septin plays an indispensable role in the growing tumors. For example, the down-regulated miR-744-5P in colon cancer lost its inhibitory effect on SEPT2, which functions as an oncogene and promotes the proliferation of colon cancer cells [31]. Notch target gene SEPT4 is involved in the Notch signaling pathway, and inactivation of this pathway has been con rmed to be associated with the development of cancers [32].…”

Section: Discussionmentioning

confidence: 99%

The Prognostic Biomarkers and Immunotherapeutic Targets of Septin in Colon Cancer

Zhou

Yang

Zhang

et al. 2022

Preprint

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BackgroundColon cancer has the third highest incidence and second highest death rate in the world. Colon cancer poses a huge burden to patients and society in China. More accurate and convenient early diagnosis of colon cancer is a challenge to solve this disease. Some studies have revealed the involvement of Septin family members in colon cancer, but the role of most Septin remains unclear. MethodsGEPIA, UALCAN, The Human Protein ATLAS database, The Human Disease Methylation Database, MethSurv, SurvivalMeth, cBioPortal, STRING, GeneMANIA, DAVID, Metascape, PASTAA, LinkedOmics, and TIMER were used in our study. ResultsWe found that the transcription level of SEPT1/4/5/6/7/10/11 was significantly decreased in colon cancer tissues. The expression level of SEPT2/5/6/7/8/9/10/11 protein was medium to high in colon cancer tissues, while the relative expression level of SEPT2 and SEPT9 was the highest in colon cancer tissues. SEPT7 expression was significantly correlated with pathological stage. For colon cancer patients, high SEPT2/9/10/11 expression was associated with longer OS, and only low SEPT4 expression was obviously associated with longer DSF. Moreover, the methylation level of SEPT2/5/7/8/9/11 was increased in colon cancer tissues, while that of SEPT3/4/6/10 was decreased. SEPT9/10/11 methylation levels were also found to decrease with the progression of colon cancer. 2 CpG SEPT1 2 CpG SEPT3, 5 CpG SEPT4, 3 CpG SEPT5, 8 CpG SEPT6, 3 CpG SEPT7, 5 CpG SEPT8, 20 CpG SEPT9, SEPT10 3 CpG 7 CpG SEPT11 was significantly associated with the prognosis of colon cancer patients. We found that SEPT7 had the lowest level of DNA methylation, while SEPT2 had the highest. For possible mechanisms, we performed interaction analysis, functional enrichment analysis in colon cancer, and identified the transcription factor targets and miRNA targets of septin in colon cancer. We also found a significant association between Septin and immune cell invasion. The results showed that SEPT4 and SEPT5 were significantly associated with clinical outcomes of colon cancer patients.ConclusionsSeptin could be used as a clinical prognostic biomarkers and immunotherapeutic targets for colon cancer.

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MicroRNA‑744‑5p is downregulated in colorectal cancer and targets SEPT2 to suppress the malignant phenotype

Cited by 15 publications

References 32 publications

Research revealed a targeted regulatory relationship between hsa-mir-296 or hsa-mir-744 and TNSF15 in colorectal cancer

Research revealed a targeted regulatory relationship between hsa-mir-296 or hsa-mir-744 and TNSF15 in colorectal cancer

Temporal Modulation of Differential Alternative Splicing in HaCaT Human Keratinocyte Cell Line Chronically Exposed to Arsenic for up to 28 Wk

The Prognostic Biomarkers and Immunotherapeutic Targets of Septin in Colon Cancer

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