MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma

Kang, Lin; Xu, Tan; He, Bangshun; Pan, Yuqin; Sun, Huiling; Peng, Hong-Xin; Hu, Xiuxiu; Wang, Shukui

doi:10.2147/ott.s111241

Cited by 38 publications

(23 citation statements)

References 35 publications

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“…In papillary renal cell carcinoma (pRCC), miR-1468 was significantly associated with patient survival and identified by multivariate Cox regression analyses as potential independent prognostic factors in pRCC [ 13 ]. In lung adenocarcinoma, miR-1468 expression was significantly correlated with recurrence-free survival [ 14 ]. Moreover, miR-1468 was decreased in blood-based microRNA biomarker in early diagnosis of pancreatic cancer [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: MicroRNA-1468 promotes tumor progression by activating PPAR-γ-mediated AKT signaling in human hepatocellular carcinoma

Liu

Wang

Dou

et al. 2018

J Exp Clin Cancer Res

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BackgroundAccumulating evidence confirm that aberrant microRNAs (miRNAs) expression contributes to hepatocellular carcinoma (HCC) development and progression. Previous study reported that miR-1468 showed an up-regulated tendency and might be a potential prognostic biomarker in HCC samples derived from TCGA database. However, the role of miR-1468 and its underlying mechanisms involved in the growth and metastasis of HCC remain poorly investigated.MethodsCCK-8, EdU, colony formation and flow cytometry were used to determine proliferation, cell cycle progression and apoptosis of HCC cells in vitro. The subcutaneous tumor model in nude mice was established to detect tumor growth of HCC in vivo. The direct binding of miR-1468 to 3’UTR of Cbp/p300 interacting transactivator with Glu/Asp rich carboxy-terminal domain 2 (CITED2) and Up-frameshift protein 1 (UPF1) was confirmed by luciferase reporter assay.ResultsHere, we demonstrated that miR-1468 expression was up-regulated in HCC tissues and cell lines. Clinical analysis revealed that increased miR-1468 level was significantly correlated with malignant prognostic features and shorter survival. Gain- and loss-of-function experiments indicated that miR-1468 promoted cell proliferation, colony formation, cell cycle progression and induced apoptosis of HCC cells in vitro and in vivo. Moreover, CITED2 and UPF1 were identified as direct downstream targets of miR-1468 in HCC cells, and mediated the functional effects of miR-1468 in HCC, resulting in peroxisome proliferator-activated receptor-γ (PPAR-γ)/AKT signaling activation. In clinical samples of HCC, miR-1468 inversely correlated with the levels of CITED2 and UPF1, which were confirmed to be down-regulated in HCC. Restoration of CITED2 or UPF1 expression at least partially abolished the biological effects of miR-1468 on HCC cells. Moreover, alteration of PPAR-γ or AKT phosphorylation could reverse the function of miR-1468 in HCC.ConclusionsTaken together, this research supports the first evidence that miR-1468 plays an oncogenic role in HCC via activating PPAR-γ/AKT pathway by targeting CITED2 and UPF1, and represents a promising therapeutic strategy for HCC patients.Electronic supplementary materialThe online version of this article (10.1186/s13046-018-0717-3) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: MicroRNA-1468 promotes tumor progression by activating PPAR-γ-mediated AKT signaling in human hepatocellular carcinoma

Liu

Wang

Dou

et al. 2018

J Exp Clin Cancer Res

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“…Dysregulation of hsa-miR-1468 was observed in epithelial ovarian cancer 67 . Hsa-miR-1468 was significantly associated with the recurrence-free survival in lung adenocarcinoma 68 . Therefore, these two miRNAs are important molecules to validate further in breast cancer.…”

Section: Resultsmentioning

confidence: 94%

Identifying a miRNA signature for predicting the stage of breast cancer

Sathipati

2018

Sci Rep

103

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Breast cancer is a heterogeneous disease and one of the most common cancers among women. Recently, microRNAs (miRNAs) have been used as biomarkers due to their effective role in cancer diagnosis. This study proposes a support vector machine (SVM)-based classifier SVM-BRC to categorize patients with breast cancer into early and advanced stages. SVM-BRC uses an optimal feature selection method, inheritable bi-objective combinatorial genetic algorithm, to identify a miRNA signature which is a small set of informative miRNAs while maximizing prediction accuracy. MiRNA expression profiles of a 386-patient cohort of breast cancer were retrieved from The Cancer Genome Atlas. SVM-BRC identified 34 of 503 miRNAs as a signature and achieved a 10-fold cross-validation mean accuracy, sensitivity, specificity, and Matthews correlation coefficient of 80.38%, 0.79, 0.81, and 0.60, respectively. Functional enrichment of the 10 highest ranked miRNAs was analysed in terms of Kyoto Encyclopedia of Genes and Genomes and Gene Ontology annotations. Kaplan-Meier survival analysis of the highest ranked miRNAs revealed that four miRNAs, hsa-miR-503, hsa-miR-1307, hsa-miR-212 and hsa-miR-592, were significantly associated with the prognosis of patients with breast cancer.

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“…Therefore, there is a pressing need for potential and reliable prognostic biomarkers that predict lung cancer outcomes. In previous studies, expression of miRNA and mRNA have been examined to reveal characteristics associated with lung cancer outcome [ 27 – 30 ]. Differential expression of lncRNAs has rapidly emerged in various studies of tumorigenesis and cancer progression, and the dysregulated lncRNAs play key roles in cancer prognosis.…”

Section: Discussionmentioning

confidence: 99%

Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma

Sui

Han

et al. 2017

Oncotarget

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Accumulating evidence shows the important role of long non-coding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks for predicting survival in tumor patients. However, prognostic biomarkers for lung squamous cell carcinoma (LUSC) are still lacking. The objective of this study is to identify a lncRNA signature for evaluation of overall survival (OS) in 474 LUSC patients from The Cancer Genome Atlas (TCGA) database. A total of 474 RNA sequencing profiles in LUSC patients with clinical data were obtained, providing a large sample of RNA sequencing data, and 83 LUSC-specific lncRNAs, 26 miRNAs, and 85 mRNAs were identified to construct the ceRNA network (fold change>2, P<0.05). Among these above 83 LUSC-specific lncRNAs, 22 were assessed as closely related to OS in LUSC patients using a univariate Cox proportional regression model. Meanwhile, two (FMO6P and PRR26) of the above 22 OS-related lncRNAs were identified using a multivariate Cox regression model to construct a risk score as an independent indicator of the prognostic value of the lncRNA signature in LUSC patients. LUSC patients with low-risk scores were more positively correlated with OS (P<0.001). The present study provides a deeper understanding of the lncRNA-related ceRNA network in LUSC and suggests that the two-lncRNA signature could serve as an independent biomarker for prognosis of LUSC.

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MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma

Cited by 38 publications

References 35 publications

RETRACTED ARTICLE: MicroRNA-1468 promotes tumor progression by activating PPAR-γ-mediated AKT signaling in human hepatocellular carcinoma

RETRACTED ARTICLE: MicroRNA-1468 promotes tumor progression by activating PPAR-γ-mediated AKT signaling in human hepatocellular carcinoma

Identifying a miRNA signature for predicting the stage of breast cancer

Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma

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