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A bibliometric analysis of long non-coding RNA and chemotherapeutic resistance research.

ABSTRACT: The global outputs of annual publication in long non-coding RNAs (lncRNAs) and chemotherapeutic resistance research exponentially increased from 2 in 2008 to 176 in 2017. Using Java application CiteSpace V and VOSviewer, this study assessed the publication model of lncRNAs and chemoresistance by bibliometric analysis. Totally, 2883 authors contributed 528 publications of lncRNAs and chemoresistance in 215 academic journals in the recent decade (2008-2018). Oncotarget in the 215 academic journals published the highest number of publications (60). China had the highest number of publication outputs (358). The leading institute was Nanjing Medical University. Wang Y was the most influential author (13 counts). Gupta RA had the most cited documents (87 counts). "Gene expression" and "poor prognosis" were identified as the hotspots. "Cancer stem cell", "HOTAIR" and "UCA1" were the frontiers of the fields in recent years. The increase of publications on lncRNAs and chemotherapeutic resistance will continue in the next years. HOTAIR and UCA1 with multiple roles in drug resistance may offer big opportunities for targeted chemoresistance in cancer therapy. These results may help us discover and explain the possible underlying laws of the subject.

SUBMITTER: Chen X

PROVIDER: S-EPMC6524938 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Neuroblastoma (NB) is an embryonal tumor with various clinical presentations and behaviors. Several genomic alterations has been well-studied in NB, among which genomic amplification of MYCN oncogene, is a strong prognostic biomarker with worsens outcome. Long noncoding RNAs (lncRNAs), constitute major proportion of the cellular transcripts with no coding capacity. One of their function is to guide transcription factors to the target genes and facilitate gene expression. However, relative contribution of lncRNA and MYCN to the advanced NB has remained unclear. Herein, by applying a network-based integrative analysis on MYCN amplified and MYCN nonamplified lncRNA expression profile from both RNA-seq and microarray platform, we identified lncRNA, SNHG1 to be differentially expressed and strongly correlated with MYCN in MYCN-amplified NB. The expression of SNHG1 was validated by RT-qPCR in NB cell lines. Survival analysis revealed that higher expression of SNHG1 significantly associates with poor patient survival. Moreover, knockdown of MYCN in MYCN-amplified NB cell lines inhibited SNHG1 expression. Furthermore, to unravel the role of SNHG1 in NB, we extracted SNHG1-interacting proteins by RNA-protein pull down assay coupled with doi:10.6342/NTU201701980 ! ! VI liquid chromatography-tandem mass spectrometry (LC-MS/MS). We identified 27 SNHG1-interacting proteins in common from three NB cell lines. However, only three SNHG1-interacting proteins, MATR3, YBX1 and HHRNPL have binding site detected by DeepBind motif analysis. Western blot confirms interaction of MATR3 with SNHG1. Additionally, we further validated the direct interaction between MATR3 and SNHG1 by RNA-immunoprecipation (IP). MATR3 is known to be involved in RNA transport and stabilization. Therefore, we proposed that MATR3 after interacting with SNHG1 might help in SNHG1 transcription and stabilization. In conclusion, our study unveils that SNHG1 could be a prognostic marker for high-risk NB and possibly stabilized by MATR3. Our results might provide future directions for the development of therapeutic strategies against high-risk NB.

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A bibliometric analysis of long non-coding RNA and chemotherapeutic resistance research.

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