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Application of long-chain non-coding RNA DUXAP8 as biomarker for prognosis of bladder cancer

A long-chain non-coding, biomarker technology, applied in the field of biomarker application, can solve the problems of unclear clinical significance and potential function of lncRNAs, and low patient survival rate.

Inactive Publication Date: 2018-11-02
JIANGYIN PEOPLES HOSPITAL
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Problems solved by technology

Furthermore, TGF-β induced lncRNA MALAT1 expression in bladder cancer, and MALAT1 overexpression was significantly associated with poor patient survival and promoted cell metastasis by interacting with SUZ12 and inhibiting E-cadherin expression
Although a small number of lncRNAs have been studied in bladder cancer, the clinical significance and potential functions of most lncRNAs in bladder cancer development and progression remain unclear.

Method used

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  • Application of long-chain non-coding RNA DUXAP8 as biomarker for prognosis of bladder cancer
  • Application of long-chain non-coding RNA DUXAP8 as biomarker for prognosis of bladder cancer
  • Application of long-chain non-coding RNA DUXAP8 as biomarker for prognosis of bladder cancer

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Embodiment

[0036] lncRNA profiling in TCGA and public microarray data

[0037] TCGA bladder cancer tissue and non-tumor tissue RNA-seq data and corresponding clinical information were downloaded from http: / / ibl.mdanderson.org / tanric / _design / basic / download.html. Three other published bladder cancer gene microarray analysis data (GSE89006, GSE51493 and GSE45184) were downloaded from Gene Expression Omnibus (GEO). GSE89006, GSE51493 and GSE45184 were analyzed using Agilent-045997 Arraystarhuman lncRNA microarray V3, ArraystarHuman LncRNA microarray V2.0, and Agilent-028004 SurePrint G3 Human GE 8x60K microarray platforms. These TCGA RNA-seq data and microarray data were preprocessed using R software and software packages.

[0038] Copy number variation analysis of lncRNA loci

[0039] Raw bladder cancer tissue gene copy number variation data were downloaded from the Broad GDAC FireBrowser website. GISTIC 2.0 was used to identify significant recurrent occurrences of copy number deletions or...

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Abstract

The invention provides application of long-chain non-coding RNA DUXAP8 as a biomarker for prognosis of bladder cancer. The application is characterized in that the long-chain non-coding RNA DUXAP8 isused for predicting the overall survival time or recurrence-free survival time of bladder cancer patients. The application successfully provides a high-efficiency biomarker resource for the prognosisof the disease by detecting the change in the frequency of the genomic site copy number of the long-chain non-coding RNA DUXAP8.

Description

technical field [0001] The invention belongs to the application field of biomarkers, in particular to the application of a long-chain non-coding RNA DUXAP8 as a biomarker in the prognosis of bladder cancer. Background technique [0002] Bladder cancer is one of the most common cancers and one of the most common urological tumors worldwide. As a highly heterogeneous cancer, low-grade non-invasive papillomas account for about 70% of all bladder cancer cases, while high-grade invasive tumors account for about 30% of all bladder cancer cases. Although great progress has been made in diagnostic techniques, surgical treatment, chemotherapy and radiotherapy, the improvement in the survival rate of bladder cancer patients is still unsatisfactory. Therefore, it is urgent to identify new biomarkers for the diagnosis of bladder cancer, and understanding the molecular mechanisms of bladder cancer pathogenesis and metastasis is important for the development of novel targeted therapies. ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/158C12Q2600/178
Inventor 姜彬吴斌刘志利赵虎袁军
Owner JIANGYIN PEOPLES HOSPITAL
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