Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer

Zhou, Meng; Sun, Ying; Sun, Yifan; Xu, Wanying; Zhang, Zhaoyue; Zhao, Hengqiang; Zhong, Zhaohua; Sun, Jie

doi:10.18632/oncotarget.8653

Cited by 122 publications

(89 citation statements)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time-dependent receiver operating characteristic (ROC) curve analysis within 5 years as the defining point was also performed using the R package “survivalROC”, to evaluate the predictive accuracy of the prognostic model for time-dependent disease outcomes [67]. Kaplan-Meier survival curves were used to estimate the OS time for COAD and READ patients with predicted high- or low-risk scores, and the survival differences between the high-risk group and low-risk group were assessed by a two-sided log-rank test using SPSS 22.0 software (SPSS Inc., Chicago, IL, USA) [68]. …”

Section: Methodsmentioning

confidence: 99%

Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma

Zeng

Liang

et al. 2017

Oncotarget

View full text Add to dashboard Cite

Growing evidence has shown that long non-coding RNAs (lncRNAs) can serve as prospective markers for survival in patients with colorectal adenocarcinoma. However, most studies have explored a limited number of lncRNAs in a small number of cases. The objective of this study is to identify a panel of lncRNA signature that could evaluate the prognosis in colorectal adenocarcinoma based on the data from The Cancer Genome Atlas (TCGA). Altogether, 371 colon adenocarcinoma (COAD) patients with complete clinical data were included in our study as the test cohort. A total of 578 differentially expressed lncRNAs (DELs) were observed, among which 20 lncRNAs closely related to overall survival (OS) in COAD patients were identified using a Cox proportional regression model. A risk score formula was developed to assess the prognostic value of the lncRNA signature in COAD with four lncRNAs (LINC01555, RP11-610P16.1, RP11-108K3.1 and LINC01207), which were identified to possess the most remarkable correlation with OS in COAD patients. COAD patients with a high-risk score had poorer OS than those with a low-risk score. The multivariate Cox regression analyses confirmed that the four-lncRNA signature could function as an independent prognostic indicator for COAD patients, which was largely mirrored in the validating cohort with rectal adenocarcinoma (READ) containing 158 cases. In addition, the correlative genes of LINC01555 and LINC01207 were enriched in the cAMP signaling and mucin type O-Glycan biosynthesis pathways. With further validation in the future, our study indicates that the four-lncRNA signature could serve as an independent biomarker for survival of colorectal adenocarcinoma.

show abstract

Section: Methodsmentioning

confidence: 99%

Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma

Zeng

Liang

et al. 2017

Oncotarget

View full text Add to dashboard Cite

show abstract

“…Furthermore, these lncRNAs and their prediction outcomes were associated with chemotherapy responses and BRCA1/2-mutated and BRCA1/2 wild-type tumors, suggesting Cellular Physiology and Biochemistry Cellular Physiology and Biochemistry that these lncRNAs are independent biomarkers and therefore instrumental for identifying patients who may respond well to chemotherapy and those for whom alternative treatments should be prescribed [80]. Similarly, Martini and colleagues identified a molecular signature of 4 lncRNAs (PVT1, lnc-SERTD2-3, lnc-SOX4-1, and lnc-HRCT1) in tumor biopsies from a cohort of 202 patients with stage-I EOC, whose expressions were associated with risk of relapse.…”

Section: Cellular Physiology and Biochemistrymentioning

confidence: 99%

Long Non-Coding RNAs: the New Horizon of Gene Regulation in Ovarian Cancer

Worku

Bhattarai

Ayers

et al. 2017

Cell Physiol Biochem

View full text Add to dashboard Cite

Long non-coding RNAs (lncRNAs), a class of non-coding transcripts, have recently been emerging with heterogeneous molecular actions, adding a new layer of complexity to generegulation networks in tumorigenesis. LncRNAs are considered important factors in several ovarian cancer histotypes, although few have been identified and characterized. Owing to their complexity and the lack of adapted molecular technology, the roles of most lncRNAs remain mysterious. Some lncRNAs have been reported to play functional roles in ovarian cancer and can be used as classifiers for personalized medicine. The intrinsic features of lncRNAs govern their various molecular mechanisms and provide a wide range of platforms to design different therapeutic strategies for treating cancer at a particular stage. Although we are only beginning to understand the functions of lncRNAs and their interactions with microRNAs (miRNAs) and proteins, the expanding literature indicates that lncRNA-miRNA interactions could be useful biomarkers and therapeutic targets for ovarian cancer. In this review, we discuss the genetic variants of lncRNAs, heterogeneous mechanisms of actions of lncRNAs in ovarian cancer tumorigenesis, and drug resistance. We also highlight the recent developments in using lncRNAs as potential prognostic and diagnostic biomarkers. Lastly, we discuss potential approaches for linking lncRNAs to future gene therapies, and highlight future directions in the field of ovarian cancer research.

show abstract

“…Moreover, lncRNAs also have the potential function as diagnostic or prognostic markers of cancer (4)(5)(6)(7)(8)(9)(10). Nuclear enriched abundant transcript 1 (NEAT1) is a nuclear-restricted lncRNA that has two isoforms: NEAT1-1 and NEAT1-2 (11).…”

Section: Introductionmentioning

confidence: 99%

Long non-coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR-377 in non-small cell lung cancer

Zhang

Dong

et al. 2017

Oncology Letters

View full text Add to dashboard Cite

Abstract.It has previously been demonstrated that the long non-coding RNA (lncRNA) nuclear enriched abundant transcript (NEAT)-1 is increased in multiple cancers and may be associated with cancer development. However, the function and mechanism of NEAT1 in non-small cell lung cancer (NSCLC) has not yet been fully elucidated. In the present study, the expression of NEAT1 in NSCLC was detected using quantitative polymerase chain reaction and association with survival was estimated. The effect of NEAT1 on proliferation was detected by growth curve and cell cycle analysis. Bioinformatics analysis was used to identify miRNAs that interact with NEAT1. Following this, a series of molecular biological techniques were used to verify the mechanism of NEAT1. The results indicated that NEAT1 was highly expressed in NSCLC, and high NEAT1 expression was associated with a shorter overall survival. NEAT1 promoted NSCLC cell growth and affected the cell cycle process in vitro. Furthermore, NEAT1 was observed to bind hsa-miR-377-3p, functioning as a competing endogenous RNA, which resulted in de-repression of its target gene E2F transcription factor 3 (E2F3). E2F3, as an oncogene, may promote NSCLC progression. These results suggested that NEAT1 may promote the development of NSCLC through the miR-377-3p-E2F3 pathway.

show abstract

Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer

Cited by 122 publications

References 90 publications

Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma

Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma

Long Non-Coding RNAs: the New Horizon of Gene Regulation in Ovarian Cancer

Long non-coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR-377 in non-small cell lung cancer

Contact Info

Product

Resources

About