Targeting LncRNA EPIC1 to inhibit human colon cancer cell progression

Wu, Qiong; Wei, Jue; Chun-hua, Zhao; Xiang, Shihao; Shi, Min; Wang, Yugang

doi:10.18632/aging.103790

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…The number of colon cancer has seen a sharp increase, especially in younger patients, possibly owing to eating habits and lifestyle [ 9 ]. About 1 million new cases of colon cancer are annually reported worldwide, and the mortality rate is as high as 40% [ 10 ]. Currently, colon cancer treatment involves comprehensive care and is based on surgery.…”

Section: Discussionmentioning

confidence: 99%

Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology

Wang

Zhang

2022

BioMed Research International

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The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein-protein interaction (PPI) network, and the Bisogenet plug-in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R-language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer-related signaling pathways such as AGE-RAGE and P13K-Akt, and the molecular docking results showed the best binding performance with TP53.

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Section: Discussionmentioning

confidence: 99%

Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology

Wang

Zhang

2022

BioMed Research International

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“…ENSG00000234456 (MAGI2-AS3) has been found to be involved in multiple cancers, including esophageal cancer (34), bladder cancer (35), breast cancer (36), and colon adenocarcinoma (37). Compared to other CC-related lncRNA biomarkers (38,39), these four lncRNAs are relatively novel and have good prognostic efficacy. Therefore, we hope that our results will be helpful in identifying potential targeting prognostic lncRNAs for m6A regulators, thus providing insights for their deeper study in CC tumorigenesis and progression.…”

Section: Discussionmentioning

confidence: 99%

N6-Methylandenosine-Related lncRNAs in Tumor Microenvironment Are Potential Prognostic Biomarkers in Colon Cancer

Zhang

Zhao²,

Li³

et al. 2021

Front. Oncol.

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BackgroundLncRNA dysregulation and the tumor microenvironment (TME) have been shown to play a vital role in the progression and prognosis of colon cancer (CC). We aim to reveal the potential molecular mechanism from the perspective of lncRNA in the TME and provide the candidate biomarkers for CC prognosis.MethodsESTIMATE analysis was used to divide the CC patients into high and low immune or stromal score groups. The expression array of lncRNA was re-annotated by Seqmap. Microenvironment-associated lncRNAs were filtered through differential analysis. The m6A-associated lncRNAs were screened by Pearson correlation analysis. Lasso Cox regression analyses were performed to construct the m6A- and tumor microenvironment-related lncRNA prognostic model (m6A-TME-LM). Survival analysis was used to assess the prognostic efficacy of candidate lncRNAs. Enrichment analyses annotated the candidate genes’ functions.ResultsWe obtained 25 common differentially expressed lncRNAs (DELs) associated with immune microenvironment and m6A-related genes for subsequent lasso analysis. Four out of these DELs were selected for the m6A-TME-LM. All the four lncRNAs were related to overall survival, and a test set testified the result. Further stratification analysis of the m6A-TME-LM retained its ability to predict OS for male and chemotherapy adjuvant patients and performed an excellent prognostic efficacy in the TNM stage III and IV subgroups. Network analysis also found the four lncRNAs mediated co-expression network was associated with tumor development.ConclusionWe constructed the m6A-TME-LM, which could provide a better prognostic prediction of CC.

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“…In some cases, lncRNAs may regulate c-Myc by direct targeting. Lnc-EPIC1 silencing triggers apoptosis of colon cancer cells by directly binding to c-Myc and downregulating c-Myc downstream effectors [122]. However, most of the c-Myc-regulating lncRNAs did not investigate their targeting potential.…”

Section: Akt Effector (C-myc)-regulating Lncrnas and Cell Functionsmentioning

confidence: 99%

Long Noncoding RNAs and Circular RNAs Regulate AKT and Its Effectors to Control Cell Functions of Cancer Cells

Tang

Chuang

Shiau

et al. 2022

Cells

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AKT serine-threonine kinase (AKT) and its effectors are essential for maintaining cell proliferation, apoptosis, autophagy, endoplasmic reticulum (ER) stress, mitochondrial morphogenesis (fission/fusion), ferroptosis, necroptosis, DNA damage response (damage and repair), senescence, and migration of cancer cells. Several lncRNAs and circRNAs also regulate the expression of these functions by numerous pathways. However, the impact on cell functions by lncRNAs and circRNAs regulating AKT and its effectors is poorly understood. This review provides comprehensive information about the relationship of lncRNAs and circRNAs with AKT on the cell functions of cancer cells. the roles of several lncRNAs and circRNAs acting on AKT effectors, such as FOXO, mTORC1/2, S6K1/2, 4EBP1, SREBP, and HIF are explored. To further validate the relationship between AKT, AKT effectors, lncRNAs, and circRNAs, more predicted AKT- and AKT effector-targeting lncRNAs and circRNAs were retrieved from the LncTarD and circBase databases. Consistently, using an in-depth literature survey, these AKT- and AKT effector-targeting database lncRNAs and circRNAs were related to cell functions. Therefore, some lncRNAs and circRNAs can regulate several cell functions through modulating AKT and AKT effectors. This review provides insights into a comprehensive network of AKT and AKT effectors connecting to lncRNAs and circRNAs in the regulation of cancer cell functions.

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Targeting LncRNA EPIC1 to inhibit human colon cancer cell progression

Cited by 4 publications

References 34 publications

Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology

Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology

N6-Methylandenosine-Related lncRNAs in Tumor Microenvironment Are Potential Prognostic Biomarkers in Colon Cancer

Long Noncoding RNAs and Circular RNAs Regulate AKT and Its Effectors to Control Cell Functions of Cancer Cells

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