Integrated analysis of long non‑coding RNA competing interactions revealed potential biomarkers in cervical cancer: Based on a public database
| Autor: | Yue Pu Pu, Li Hong Yin, Jing Sui, Si‑Yi Xu, Yang Shen, Man Zhang, Sheng Yang, Wen‑Juan Wu, Cheng‑Yun Li, Ge Yu Liang |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Cancer Research Gene regulatory network Uterine Cervical Neoplasms Computational biology Biology Biochemistry Transcriptome 03 medical and health sciences 0302 clinical medicine Biomarkers Tumor Genetics Humans Gene Regulatory Networks Molecular Biology Gene MEG3 Competing endogenous RNA Gene Expression Profiling Computational Biology RNA Prognosis Long non-coding RNA Gene Expression Regulation Neoplastic Gene expression profiling Gene Ontology 030104 developmental biology Oncology 030220 oncology & carcinogenesis Molecular Medicine Female RNA Long Noncoding Reactive Oxygen Species |
| Zdroj: | Molecular Medicine Reports. |
| ISSN: | 1791-3004 1791-2997 |
| Popis: | Cervical cancer (CC) is a common gynecological malignancy in women worldwide. Using an RNA sequencing profile from The Cancer Genome Atlas (TCGA) and the CC patient information, the aim of the present study was to identify potential long non‑coding RNA (lncRNA) biomarkers of CC using bioinformatics analysis and building a competing endogenous RNA (ceRNA) co‑expression network. Results indicated several CC‑specific lncRNAs, which were associated with CC clinical information and selected some of them for validation and evaluated their diagnostic values. Bioinformatics analysis identified 51 CC‑specific lncRNAs (fold‑change >2 and P |
| Databáze: | OpenAIRE |
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