KRAS-related long noncoding RNAs in human cancers

Saliani, Mahsa; Mirzaiebadizi, Amin; Javadmanesh, Ali; Siavoshi, Akram; Ahmadian, Mohammad Réza

doi:10.1038/s41417-021-00381-x

Cited by 12 publications

(8 citation statements)

References 144 publications

(138 reference statements)

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“…For instance, lncRNAs act as sponges for miRNAs that target KRAS. Moreover, lncRNAs have functional associations with numerous regulatory apparatuses, including chromatin remodeling elements, transcription factors, splicing apparatus and nuclear trafficking regulators [ 78 ]. Through these interactions, they can also regulate expression of KRAS.…”

Section: Discussionmentioning

confidence: 99%

Emerging role of non-coding RNAs in the regulation of KRAS

et al. 2022

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The Kirsten ras oncogene KRAS is a member of the small GTPase superfamily participating in the RAS/MAPK pathway. A single amino acid substitution in KRAS gene has been shown to activate the encoded protein resulting in cell transformation. This oncogene is involved in the malignant transformation in several tissues. Notably, numerous non-coding RNAs have been found to interact with KRAS protein. Such interaction results in a wide array of human disorders, particularly cancers. Orilnc1, KIMAT1, SLCO4A1-AS1, LINC01420, KRAS1P, YWHAE, PART1, MALAT1, PCAT-1, lncRNA-NUTF2P3-001 and TP53TG1 are long non-coding RNAs (lncRNAs) whose interactions with KRAS have been verified in the context of cancer. miR-143, miR-96, miR-134 and miR-126 have also been shown to interact with KRAS in different tissues. Finally, circITGA7, circ_GLG1, circFNTA and circ-MEMO1 are examples of circular RNAs (circRNAs) that interact with KRAS. In this review, we describe the interaction between KRAS and lncRNAs, miRNAs and circRNAs, particularly in the context of cancer.

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Section: Discussionmentioning

confidence: 99%

Emerging role of non-coding RNAs in the regulation of KRAS

et al. 2022

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“…It is evident that the lncRNAs have the capacity to regulate RAS expression in human cancers ( 22 ). As a regulator of KRAS , lncRNA MALAT1 knockdown suppresses the MEK and ERK1/2 phosphorylation induced by downregulating KRAS protein expression in cancers ( 23 ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic analysis of RAS-related lncRNAs in liver hepatocellular carcinoma

Li¹,

Fan²,

Zuo³

et al. 2022

Ann Transl Med

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Background: Liver hepatocellular carcinoma (LIHC), whose incidence is increasing globally, is one of the most prevalent malignant cancers. RAS-related pathways are involved in the cell proliferation, migration, apoptosis, and metabolism in LIHC. Long noncoding RNAs (lncRNAs) also play important roles in the progression and prognosis of LIHC. However, the clinical role, prognostic significance, and immune regulation of RAS-related lncRNAs in LIHC remains unclear. Our study aims to construct and validate a RAS-related lncRNA prognostic risk signature that can estimate the prognosis and response to immunotherapy in LIHC. Methods:The clinical information and corresponding messenger RNA (mRNA)/lncRNA expression profiles were obtained from The Cancer Genome Atlas (TCGA) database, and 502 RAS-related lncRNAs were identified by Pearson correlation analysis. A prognostic risk signature with 5 RAS-related lncRNAs was then developed based on the Cox regression and least absolute shrinkage and selection operator (LASSO) algorithm analyses. Subsequently, Kaplan-Meier survival curve, receiver operating characteristic (ROC) curve, and the nomogram were established to evaluate the predictive accuracy of the signature. In addition, the immune microenvironment, tumor mutation burden, and drug sensitivity associated with the signature were also analyzed in LIHC.Results: Compared with the low-risk groups, the high-risk groups had an unfavorable outcome.Multivariate regression analysis revealed that the risk score signature was the independent prognostic factor superior to the other clinical variables. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses demonstrated that the risk score was highly associated with the nuclear division, DNA replication, and immune response. The group with high risk tended to hold a lower immune escape rate and better immunotherapy efficacy, while the group with low risk was more sensitive to some small molecular targeted drugs. Conclusions:We developed a RAS-related lncRNA risk signature that was highly associated with the prognosis and response to immunotherapy and targeted drugs and which provided novel mechanistic insights into the personalized treatment and potential drug selection for patients with LIHC.

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“…The most well‐known function of circRNAs is their activity as competing endogenous RNAs (ceRNAs) through a circRNA/miRNA/mRNA regulatory network. 10 , 11 Recent evidence suggested the role of circRNAs in various viral infections such as human papilloma virus infection, herpes simplex virus, Epstein–Barr virus, human immunodeficiency virus, Middle East respiratory syndrome coronavirus, and hepatitis B virus infection and confirmed it as a potential biomarker between viral and non‐viral states. 12 …”

Section: Introductionmentioning

confidence: 99%

Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis

Mohammadisoleimani

Firoozi

Naghizadeh

et al. 2022

Clinical Laboratory Analysis

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Background SARS‐CoV‐2 is one of the most contagious viruses in the Coronaviridae (CoV) family, which has become a pandemic. The aim of this study is to understand more about the role of hsa_circ_0004812 in the SARS‐CoV‐2 related cytokine storm and its associated molecular mechanisms. Materials and Methods cDNA synthesis was performed after total RNA was extracted from the peripheral blood mononuclear cells (PBMC) of 46 patients with symptomatic COVID‐19, 46 patients with asymptomatic COVID‐19, and 46 healthy controls. The expression levels of hsa_circ_0004812, hsa‐miR‐1287‐5p, IL6R, and RIG‐I were determined using qRT‐PCR, and the potential interaction between these molecules was confirmed by bioinformatics tools and correlation analysis. Results hsa_circ_0004812, IL6R, and RIG‐I are expressed higher in the severe symptom group compared with the negative control group. Also, the relative expression of these genes in the asymptomatic group is lower than in the severe symptom group. The expression level of hsa‐miR‐1287‐5p was positively correlated with symptoms in patients. The results of the bioinformatics analysis predicted the sponging effect of hsa_circ_0004812 as a competing endogenous RNA on hsa‐miR‐1287‐5p. Moreover, there was a significant positive correlation between hsa_circ_0004812, RIG‐I, and IL‐6R expressions, and also a negative expression correlation between hsa_circ_0004812 and hsa‐miR‐1287‐5p and between hsa‐miR‐1287‐5p, RIG‐I, and IL‐6R. Conclusion The results of this in‐vitro and in silico study show that hsa_circ_0004812/hsa‐miR‐1287‐5p/IL6R, RIG‐I can play an important role in the outcome of COVID‐19.

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KRAS-related long noncoding RNAs in human cancers

Cited by 12 publications

References 144 publications

Emerging role of non-coding RNAs in the regulation of KRAS

Emerging role of non-coding RNAs in the regulation of KRAS

Prognostic analysis of RAS-related lncRNAs in liver hepatocellular carcinoma

Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis

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