The transcriptome profiles and methylation status revealed the potential cancer-related lncRNAs in patients with cervical cancer.
Li-Yun YuanXiaomin QinLin LiJinting ZhouMin ZhouXianxian LiYing XuXiao-Jun WangHui XingPublished in: Journal of cellular physiology (2018)
Cervical cancer continues to be a major public health problem. Although long noncoding RNAs (lncRNAs) were involved in the initiation and progression of cancer, few studies focus on the lncRNAs in the cervical cancer. Here, we systematically studied the clinical information, transcriptome profiling, and methylation array data of cervical squamous cell carcinoma and endocervical adenocarcinoma that retrieved from genomic data commons (GDC). Compared with protein-coding genes, the expression levels of pseudogenes and lncRNAs were much lower. A total of 190 differentially expressed lncRNAs and 2,326 protein-coding genes were identified. Meanwhile, 269 differentially methylation regions (DMRs), where 16 lncRNAs were located, were figured out. Only one lncRNA, LINC00592, which was located in the DMRs, was also found differentially expressed. Several transcriptional regulation genes, such as ZNF20, ZNF441, ZNF573, and TMF1, were highly correlated with the expression of LINC00592, which illustrated its possible function on the transcription. Two microRNAs, which were both associated with tumor progression, can bind to LINC00592. Moreover, LINC00592 were also differentially expressed in other tumors. We proposed, with the help of various databases, that LINC00592 is a potential cancer-related lncRNA in cervical cancer and might activate the cancer progression through the regulation of transcription or structural integrity.
Keyphrases
- long non coding rna
- poor prognosis
- genome wide identification
- genome wide
- genome wide analysis
- long noncoding rna
- transcription factor
- squamous cell carcinoma
- public health
- network analysis
- cell proliferation
- dna methylation
- single cell
- papillary thyroid
- binding protein
- copy number
- electronic health record
- rna seq
- big data
- lymph node metastasis
- squamous cell
- amino acid
- risk assessment
- locally advanced
- social media
- healthcare
- climate change
- human health
- health information
- high resolution
- mass spectrometry