Identification of LINC01279 as a cell cycle‑associated long non‑coding RNA in endometriosis with GBA analysis

Liu, Jie; Wang, Qi; Zhang, Rongrong; Zhang, Chu; Lin, Jihui; Huang, Xiaojie

doi:10.3892/mmr.2018.9387

Cited by 13 publications

(17 citation statements)

References 43 publications

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“…Based on Liu et al study, there is a strong association between this lncRNA and cell cycle-dependent kinase-14 and CXC motif chemokine ligand-12. Hence, LINC01279 might contribute in the pathogenesis of endometriosis 54 . In another bioinformatics analysis of differential gene expression in breast cancer LINC01279 was significantly down-regulated 55 .…”

Section: Discussionmentioning

confidence: 99%

An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer

Dashti

Taheri

Ghafouri‐Fard

2020

Sci Rep

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Breast cancer is a highly heterogeneous disorder characterized by dysregulation of expression of numerous genes and cascades. In the current study, we aim to use a system biology strategy to identify key genes and signaling pathways in breast cancer. We have retrieved data of two microarray datasets (GSE65194 and GSE45827) from the NCBI Gene Expression Omnibus database. R package was used for identification of differentially expressed genes (DEGs), assessment of gene ontology and pathway enrichment evaluation. The DEGs were integrated to construct a protein–protein interaction network. Next, hub genes were recognized using the Cytoscape software and lncRNA–mRNA co-expression analysis was performed to evaluate the potential roles of lncRNAs. Finally, the clinical importance of the obtained genes was assessed using Kaplan–Meier survival analysis. In the present study, 887 DEGs including 730 upregulated and 157 downregulated DEGs were detected between breast cancer and normal samples. By combining the results of functional analysis, MCODE, CytoNCA and CytoHubba 2 hub genes including MAD2L1 and CCNB1 were selected. We also identified 12 lncRNAs with significant correlation with MAD2L1 and CCNB1 genes. According to The Kaplan–Meier plotter database MAD2L1, CCNA2, RAD51-AS1 and LINC01089 have the most prediction potential among all candidate hub genes. Our study offers a framework for recognition of mRNA–lncRNA network in breast cancer and detection of important pathways that could be used as therapeutic targets in this kind of cancer.

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Section: Discussionmentioning

confidence: 99%

An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer

Dashti

Taheri

Ghafouri‐Fard

2020

Sci Rep

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“…LncRNA‐LINC01279 is a class of lncRNA molecules. Recently, some scholars have found the increased expression of lncRNA‐LINC01279 in EMs through guilt‐by‐association analysis and confirmed the correlation between lncRNA‐LINC01279 and EMs 20 …”

Section: Discussionmentioning

confidence: 92%

“…In recent research, researchers found that HOXA10 expression was significantly lower in EMs patients than in healthy subjects, and the expression level of endometrial HOXA10 gene was also significantly lower in infertile EMs patients than in fertile EMs patients 18,19 . It has been confirmed that LncRNA‐LINC01279 is upregulated in EMs and plays an important role in regulating the cell cycle and in working with other key regulators in EMs, including cyclin‐dependent kinases and CXCR12 20 …”

Section: Introductionmentioning

confidence: 93%

Lnc‐RNA LINC01279 induces endometriosis via targeting of HOXA10

Liu

Cheng

Wei

et al. 2021

J of Obstet and Gynaecol

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Aim To explore the regulatory role and molecular mechanism of lncRNA‐LINC01279 in endometriosis (EMs). Methods Between September 2018 and July 2019, 20 EMs patients and 20 healthy subjects were recruited to detect the expression of lncRNA‐LINC01279 in EMs and in normal endometrium via qRT‐PCR. Autograft was used to establish EMs models on Spraque–Dawley (SD) rats, which was followed by taking volume measurements of EMs endometrium and observing pathological changes in the morphology of EMs via hematoxylin and eosin (H&E) staining. The qRT‐PCR technique was further carried out to determine mRNA expression of lncRNA‐LINC01279 and HOXA10 in the serum of EMs rats and LINC01279 shRNA‐transfected rats, while the protein expression of HOXA10 was determined using a Western blot. Results EMs patients presented with upregulation of lncRNA‐LINC01279 and downregulation of HOXA10 (p < 0.01 or 0.001). Online predictions further revealed that lncRNA‐LINC01279 regulated the expression of HOXA10 via miRNA‐135b. In EMs models, it was observed that there were a significantly enlarged endometrium and poor pathological morphology, significant upregulation of lncRNA‐LINC01279, and downregulation of miR‐135b and HOXA10 in serum (p < 0.05, 0.01 or 0.001). In the lncRNA‐LINC01279 shRNA group, EMs rats, following treatment, had a sharp decrease in the volume of EMs endometrium, and an improvement in pathological morphology, while lncRNA‐LINC01279 was downregulated, with upregulation of miR‐135b and HOXA10 (p < 0.05, 0.01 or 0.001). Conclusion LncRNA‐LINC01279, by the mechanism of targeting miR‐135b, has the potential to downregulate the expression of HOXA10, and therefore, can promote the development and progression of EMs.

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“…They are the most common noncoding RNAs and are involved in cell proliferation, differentiation, and apoptosis; all processes central in the pathobiology of endometriosis [21]. Some lnc-RNAs proposed as diagnostic markers of endometriosis include: H19 [22], CHL1-AS2 microRNA and Overcoming the Challenges of Their Use in the Diagnosis of Endometriosis DOI: http://dx.doi.org/10.5772/intechopen.91324 [23,24], AC002454.1 [25], lncRNA SRA (steroid receptor RNA activator) [26], MALAT-1 [27], and LINC01279 [28]. Results of a recent study revealed the lnc-RNA are carried in circulating extracellular vesicles in women with endometriosis [29].…”

Section: Candidate Clinical Markers Of Endometriosismentioning

confidence: 99%

microRNA and Overcoming the Challenges of Their Use in the Diagnosis of Endometriosis

Turpin¹,

Леонова²,

Agarwal³

et al. 2021

Endometriosis

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Endometriosis is a common estrogen dependent and inflammatory disease affecting approximately 176 million women worldwide. Currently, the time between onset of symptoms and a definitive diagnosis has been reported by several international studies to range from 6 to 12 years. Presently, laparoscopic surgery followed by histopathological confirmation of lesions remains the gold standard for diagnosis. In part because of cost and invasiveness, current trends favor reduced laparoscopic surgeries in preference of the non-surgical diagnosis of endometriosis. However, the search for a clinical marker or markers of endometriosis that provide equal or similar sensitivity and specificity to laparoscopy has remained elusive. Thus, the search for a diagnostic test for the diagnosis of endometriosis continues to be a high priority research and clinical issue. Recent studies have reported favorable results with microRNA; however, lack of replication and absence of validation suggest that circulating miRNA may not be reliable for clinical use. Use of different screening platforms together with divergent methods may account for some of the lack or reproducibility in the literature. Herein we critically assess the recent literature and explore sources for discrepant findings. We suggest that prospective studies using validated reference miRNA to normalize results together with improved study design may yet reveal a suitable diagnostic marker or panel of markers for the diagnosis of endometriosis.

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Identification of LINC01279 as a cell cycle‑associated long non‑coding RNA in endometriosis with GBA analysis

Cited by 13 publications

References 43 publications

An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer

An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer

Lnc‐RNA LINC01279 induces endometriosis via targeting of HOXA10

microRNA and Overcoming the Challenges of Their Use in the Diagnosis of Endometriosis

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