In Silico and In Vitro Analysis of lncRNA XIST Reveals a Panel of Possible Lung Cancer Regulators and a Five-Gene Diagnostic Signature.
Periklis KatopodisQiduo DongHeerni HalaiCristian I FratilaAndreas PolychronisVladimir AnikinCristina SisuEmmanouil KarterisPublished in: Cancers (2020)
Long non-coding RNAs (lncRNAs) perform a wide functional repertoire of roles in cell biology, ranging from RNA editing to gene regulation, as well as tumour genesis and tumour progression. The lncRNA X-inactive specific transcript (XIST) is involved in the aetiopathogenesis of non-small cell lung cancer (NSCLC). However, its role at the molecular level is not fully elucidated. The expression of XIST and co-regulated genes TSIX, hnRNPu, Bcl-2, and BRCA1 analyses in lung cancer (LC) and controls were performed in silico. Differentially expressed genes (DEGs) were determined using RNA-seq in H1975 and A549 NSCLC cell lines following siRNA for XIST. XIST exhibited sexual dimorphism, being up-regulated in females compared to males in both control and LC patient cohorts. RNA-seq revealed 944 and 751 DEGs for A549 and H1975 cell lines, respectively. These DEGs are involved in signal transduction, cell communication, energy pathways, and nucleic acid metabolism. XIST expression associated with TSIX, hnRNPu, Bcl-2, and BRCA1 provided a strong collective feature to discriminate between controls and LC, implying a diagnostic potential. There is a much more complex role for XIST in lung cancer. Further studies should concentrate on sex-specific changes and investigate the signalling pathways of the DEGs following silencing of this lncRNA.
Keyphrases
- rna seq
- single cell
- long non coding rna
- poor prognosis
- nucleic acid
- small cell lung cancer
- genome wide
- genome wide identification
- transcription factor
- molecular docking
- crispr cas
- machine learning
- long noncoding rna
- mental health
- advanced non small cell lung cancer
- mass spectrometry
- genome wide analysis
- dna methylation
- single molecule
- brain metastases
- tyrosine kinase
- copy number
- bioinformatics analysis