Impact of micro<scp>RNA</scp>‐375 and its target gene <scp>SMAD</scp>‐7 polymorphism on susceptibility of colorectal cancer

Shaker, Olfat G.; Mohammed, Shereen Rashad; Mohammed, Asmaa; Mahmoud, Zeinab

doi:10.1002/jcla.22215

Cited by 15 publications

(9 citation statements)

References 26 publications

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“… 1 Many risk factors play a significant role in the progression of CRC, including germline genetic mutations, environmental exposures, personal or family history of CRC, associated diseases, and demographic considerations. 2 Surgery, radiation therapy, and adjuvant chemotherapy are the effective ways to treat CRC. 3 Invasion and metastasis are the main causes of the recurrence and poor prognosis of CRC.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: lncRNA ILF3-AS1 promotes proliferation and metastasis of colorectal cancer cells by recruiting histone methylase EZH2

Hong

et al. 2021

Molecular Therapy - Nucleic Acids

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The role of long non-coding RNA (lncRNA) has been displayed in colorectal cancer (CRC). Here, we aimed to discuss the role of lncRNA interleukin enhancer-binding factor 3-antisense RNA 1 (ILF3-AS1)/enhancer of zeste homolog 2 (EZH2)/cyclin-dependent kinase inhibitor 2 (CDKN2A)/histone 3 (H3) lysine 27 trimethylation (H3K27me3) in cell proliferation and metastasis of CRC. ILF3-AS1, EZH2, and CDKN2A levels in CRC tissues and cells were detected. The relationship between ILF3-AS1/EZH2 expression and the clinicopathological features of CRC was analyzed. High/low expression of ILF3-AS1/EZH2 plasmids were composed to explore the function of ILF3-AS1/EZH2 in invasion, migration, proliferation, colony formation, and apoptosis of CRC cells. The growth status of nude mice was observed to verify the in vitro results from in vivo experiment. ILF3-AS1 and EZH2 increased, whereas CDKN2A reduced in CRC tissues and cells. ILF3-AS1 and EZH2 expression was linked to Dukes stage, distant metastasis, vascular invasion, and lymph node metastasis of CRC patients. Depleted ILF3-AS1 or reduced EZH2 suppressed proliferation, migration, colony-formation, and invasion ability, as well as facilitated apoptosis of CRC cells and attenuated the tumor growth in CRC mice. ILF3-AS1 accelerates the proliferation and metastasis of CRC cells by recruiting histone methylase EZH2 to induce trimethylation of H3K27 and downregulate CDKN2A.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: lncRNA ILF3-AS1 promotes proliferation and metastasis of colorectal cancer cells by recruiting histone methylase EZH2

Hong

et al. 2021

Molecular Therapy - Nucleic Acids

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“…Colorectal cancer (CRC) is one of the most common gastrointestinal tumors and one of the leading causes of cancer deaths worldwide . At present, increasing evidence shows that circRNAs impact the tumor progression of CRC.…”

Section: The Potential Diagnostic Roles Of Circrnas In Cancersmentioning

confidence: 99%

The biogenesis and biological functions of circular RNAs and their molecular diagnostic values in cancers

Zhang

Shen

et al. 2019

Clinical Laboratory Analysis

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Background In addition to non‐coding RNAs (lncRNAs) and microRNAs (miRNAs), circular RNAs (circRNAs) are endogenous RNAs with various functions, which have recently become a research hotspot. CircRNAs are a kind of closed circular RNA molecule widely existing in transcriptomes. Due to lack of free ends, they are not easily cleaved by RNase R, thus avoiding degradation. They are more stable than linear RNAs. Methods Data were collected through PubMed. The following search terms were used: “circular RNA,” “circRNA,” “cancer,” “mechanism,” “biogenesis,” “biomarker,” “diagnosis.” Only articles published in English were included. Results Most circRNAs express tissue/developmental stage specificity. Moreover, circRNAs are involved in the regulation of a variety of biological activities. In this review, we discuss the formation, classification, and biological functions of circRNAs, especially their molecular diagnostic values in common cancers, including gastric cancer (hsa_circ_002059, circ_LARP4, hsa_circ_0000190, hsa_circ_0000096, circ‐SFMBT2, and circ_PVT1), hepatocellular carcinoma (circ_104075, circRNA_100338, circ_MTO1, and circZKSCAN1), colorectal cancer (hsa_circ_0136666 and hsa_circ_0000523), lung cancer (hsa_circ_0006427, circ_100876, and circ_ABCB10), breast cancer (hsa_circ_0089105, circAGFG1, and circEPSTI1), bladder cancer (circFNDC3B and circTFRC), and esophageal squamous cell carcinoma (circ_100876 and circ‐DLG1). Conclusion CircRNAs not only play important roles in tumorigenesis, but also may become new diagnostic biomarkers.

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“…Similarly, some studies that associate miRNAs with the mRNA-Smad7 and the Smad7 protein in different types of cancer or other malignancies are reported, such as: hsa-mir-375 is an oncomiR associated with single-polymorphisms nucleotide of Smad7 in colorectal cancer (CRC) and collectively can be considered as non-invasive biomarkers in the detection and diagnosis of CRC [51]. Hsa-mir-15a is an oncomiR with no reports associated with breast cancer and in infections of the hepatitis B virus, it regulates apoptosis and tumorigenesis based on the regulation of Smad7 [52].…”

Section: Resultsmentioning

confidence: 99%

Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer

Manzanarez-Ozuna

Flores

Gutiérrez-López

et al. 2018

Theor Biol Med Model

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BackgroundThe Smad7 protein is negative regulator of the TGF-β signaling pathway, which is upregulated in patients with breast cancer. miRNAs regulate proteins expressions by arresting or degrading the mRNAs. The purpose of this work is to identify a miRNAs profile that regulates the expression of the mRNA coding for Smad7 in breast cancer using the data from patients with breast cancer obtained from the Cancer Genome Atlas Project.MethodsWe develop an automatic search method based on genetic algorithms to find a predictive model based on deep neural networks (DNN) which fit the set of biological data and apply the Olden algorithm to identify the relative importance of each miRNAs.ResultsA computational model of non-linear regression is shown, based on deep neural networks that predict the regulation given by the miRNA target transcripts mRNA coding for Smad7 protein in patients with breast cancer, with R2 of 0.99 is shown and MSE of 0.00001. In addition, the model is validated with the results in vivo and in vitro experiments reported in the literature. The set of miRNAs hsa-mir-146a, hsa-mir-93, hsa-mir-375, hsa-mir-205, hsa-mir-15a, hsa-mir-21, hsa-mir-20a, hsa-mir-503, hsa-mir-29c, hsa-mir-497, hsa-mir-107, hsa-mir-125a, hsa-mir-200c, hsa-mir-212, hsa-mir-429, hsa-mir-34a, hsa-let-7c, hsa-mir-92b, hsa-mir-33a, hsa-mir-15b, hsa-mir-224, hsa-mir-185 and hsa-mir-10b integrate a profile that critically regulates the expression of the mRNA coding for Smad7 in breast cancer.ConclusionsWe developed a genetic algorithm to select best features as DNN inputs (miRNAs). The genetic algorithm also builds the best DNN architecture by optimizing the parameters. Although the confirmation of the results by laboratory experiments has not occurred, the results allow suggesting that miRNAs profile could be used as biomarkers or targets in targeted therapies.Electronic supplementary materialThe online version of this article (10.1186/s12976-018-0095-8) contains supplementary material, which is available to authorized users.

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Impact of microRNA‐375 and its target gene SMAD‐7 polymorphism on susceptibility of colorectal cancer

Cited by 15 publications

References 26 publications

RETRACTED: lncRNA ILF3-AS1 promotes proliferation and metastasis of colorectal cancer cells by recruiting histone methylase EZH2

RETRACTED: lncRNA ILF3-AS1 promotes proliferation and metastasis of colorectal cancer cells by recruiting histone methylase EZH2

The biogenesis and biological functions of circular RNAs and their molecular diagnostic values in cancers

Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer

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