&lt;p&gt;Identification of Potential Prognostic Long Non-Coding RNA Biomarkers for Predicting Recurrence in Patients with Cervical Cancer&lt;/p&gt;

Zhang, Yan; Zhang, Xing; Zhu, Hao; Liu, Yang; Cao, Jian; Li, Dake; Ding, Bo; Yan, Wenjing; Jin, Hua; Wang, Shizhi

doi:10.2147/cmar.s231796

Cited by 20 publications

(11 citation statements)

References 28 publications

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“…In this study, downregulation of lncRNA HCG11 was found in NSCLC and was related to adverse clinical outcomes of NSCLC patients. Consistent with our results, decreased expression of lncRNA HCG11 has been identified in cervical cancer and hepatocellular carcinoma 22, 23 . In addition, downregulation of lncRNA HCG11 has been reported to be associated with poor clinical outcomes and prognosis in patients with prostate cancer, 24 which is similar to our results.…”

Section: Discussionsupporting

confidence: 92%

“…Consistent with our results, decreased expression of lncRNA HCG11 has been identified in cervical cancer and hepatocellular carcinoma. 22,23 In addition, downregulation of lncRNA HCG11 has been reported to be associated with poor clinical outcomes and prognosis in patients with prostate cancer, 24 which is similar to our results. Functionally, overexpression of HCG11 has been found to inhibit cell proliferation, invasion and migration, whereas induce cell apoptosis in prostate cancer.…”

Section: Discussionsupporting

confidence: 90%

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Long non‐coding RNA HCG11 sponging miR‐522‐3p inhibits the tumorigenesis of non‐small cell lung cancer by upregulating SOCS5

et al. 2020

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Background: Numerous studies have shown that long non-coding RNA (lncRNA) is involved in various human diseases including non-small cell lung cancer (NSCLC). The aim of this study was to explore the potential role of lncRNA HCG11 in the pathogenesis of NSCLC. Methods: The mRNA expression of HCG11, miR-522-3p and SOCS5 was detected by RT-qPCR. The regulatory mechanism of lncRNA HCG11 was investigated by CCK-8, transwell and dual luciferase reporter assays. Results: Downregulation of lncRNA HCG11 and upregulation of miR-522-3p were found in NSCLC tissues and cells, and abnormal expressions of lncRNA HCG11 and miR-522-3p were related to adverse clinical outcomes of NSCLC patients. LncRNA HCG11 acted as a molecular sponge for miR-522-3p. Functionally, lncRNA HCG11 inhibited cell viability, migration and invasion in NSCLC by downregulating miR-522-3p. Further, miR-522-3p directly targeted SOCS5. lncRNA HCG11 could positively regulate SOCS5 expression in NSCLC. In addition, HCG11 downregulation or miR-522-3p overexpression abolished the inhibitory effect of SOCS5 on cell viability, migration and invasion in NSCLC. Conclusions: LncRNA HCG11 inhibits cell viability, migration and invasion in NSCLC by functioning as a ceRNA of miR-522-3p to upregulate SOCS5.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 90%

Long non‐coding RNA HCG11 sponging miR‐522‐3p inhibits the tumorigenesis of non‐small cell lung cancer by upregulating SOCS5

et al. 2020

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“…For instance, ELOVL2-AS1 may be a progression-associated prognostic biomarker for lung squamous cell carcinoma (72). LINC00189 is associated with cervical cancer recurrence and may be used as a potential prognostic biomarker (73). Upregulated LINC00470 expression promotes the development of gastric cancer (74).…”

Section: Discussionmentioning

confidence: 99%

An optimal prognostic model based on gene expression for clear cell renal cell carcinoma

Dang

Wang

et al. 2020

Oncol Lett

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Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of RCC; however, prognostic prediction tools for ccRCC are scant. Developing mRNA or long non-coding RNA (lncRNA)-based risk assessment tools may improve the prognosis in patients with ccRCC. RNA-sequencing and prognostic data from patients with ccRCC were downloaded from The Cancer Genome Atlas and the European Bioinformatics Institute Array database at the National Center for Biotechnology Information. Differentially expressed (DE) RNAs (DERs) and prognostic DERs were screened between less favorable and favorable prognoses using the limma package in R 3.4.1, and analyzed using univariate and multivariate Cox regression analyses, respectively. Risk score models were constructed using optimal combinations of DEmRNAs and DElncRNAs identified using the Least Absolute Shrinkage And Selection Operator Cox regression model of the penalized package. Associations between risk score models and overall survival time were evaluated. Independent prognostic clinical factors were screened using univariate and multivariate Cox regression analyses, and nomogram models were constructed. Gene Ontology biological processes and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted using the clusterProfiler package in R3.4.1. A total of 451 DERs were identified, including 404 mRNAs and 47 lncRNAs, between less favorable and favorable prognoses, and 269 DERs, including 233 mRNAs and 36 lncRNAs, were identified as independent prognostic factors. Optimal combinations including 10 DEmRNAs or 10 DElncRNAs were screened using four risk score models based on the status or expression levels of the 10 DEmRNAs or 10 DElncRNAs. The model based on the expression levels of the 10 DEmRNAs had the highest prognostic power. These prognostic DEmRNAs may be involved in biological processes associated with the inflammatory response, complement and coagulation cascades and neuroactive ligand-receptor interaction pathways. The present validated risk assessment tool based on the expression levels of these 10 DEmRNAs may help to identify patients with ccRCC at a high risk of mortality. These 10 DEmRNAs in optimal combinations may serve as prognostic biomarkers and help to elucidate the pathogenesis of ccRCC.

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“…Among five lncRNAs in the EpiLncRNASig, several lncRNAs have been well studied in some cancers. For example, LINC00189 has been reported to be associated with several cancers, including ovarian cancer, cervical cancer ( Zhang et al, 2020 ), clear cell renal cell carcinoma ( Xu et al, 2020 ), and urinary bladder cancer ( Zhang et al, 2016 ). By analyzing CACNA1G-AS1 expression levels in 122 pairs of non-small cell lung cancer (NSCLC) and normal tissue samples as well as in NSCLC cell lines, Yu et al (2018) identified CACNA1G-AS1 as an oncogene to promote cell migration, invasion, and epithelial-mesenchymal transition via regulating HNRNPA2B1 .…”

Section: Discussionmentioning

confidence: 99%

Identification and Analysis of An Epigenetically Regulated Five-lncRNA Signature Associated With Outcome and Chemotherapy Response in Ovarian Cancer

Yang

Gao

Zhang

et al. 2021

Front. Cell Dev. Biol.

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The deregulation of long non-coding RNAs (lncRNAs) by epigenetic alterations has been implicated in cancer initiation and progression. However, the epigenetically regulated lncRNAs and their association with clinical outcome and therapeutic response in ovarian cancer (OV) remain poorly investigated. This study performed an integrative analysis of DNA methylation data and transcriptome data and identified 419 lncRNAs as potential epigenetically regulated lncRNAs. Using machine-learning and multivariate Cox regression analysis methods, we identified and developed an epigenetically regulated lncRNA expression signature (EpiLncRNASig) consisting of five lncRNAs from the list of 17 epigenetically regulated lncRNAs significantly associated with outcome. The EpiLncRNASig could stratify patients into high-risk groups and low-risk groups with significantly different survival and chemotherapy response in different patient cohorts. Multivariate Cox regression analyses, after adjusted by other clinical features and treatment response, demonstrated the independence of the DEpiLncSig in predicting survival. Functional analysis for relevant protein-coding genes of the DEpiLncSig indicated enrichment of known immune-related or cancer-related biological pathways. Taken together, our study not only provides a promising prognostic biomarker for predicting outcome and chemotherapy response but also will improve our understanding of lncRNA epigenetic regulation mechanisms in OV.

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<p>Identification of Potential Prognostic Long Non-Coding RNA Biomarkers for Predicting Recurrence in Patients with Cervical Cancer</p>

Cited by 20 publications

References 28 publications

Long non‐coding RNA HCG11 sponging miR‐522‐3p inhibits the tumorigenesis of non‐small cell lung cancer by upregulating SOCS5

Long non‐coding RNA HCG11 sponging miR‐522‐3p inhibits the tumorigenesis of non‐small cell lung cancer by upregulating SOCS5

An optimal prognostic model based on gene expression for clear cell renal cell carcinoma

Identification and Analysis of An Epigenetically Regulated Five-lncRNA Signature Associated With Outcome and Chemotherapy Response in Ovarian Cancer

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