A combined bioinformatics and literature based approach for identification of long non-coding RNAs that modulate vitamin D receptor signaling in breast cancer

Vahid Kholghi Oskooei, Soudeh Ghafouri-Fard, Mir Davood Omrani


Background: Long non-coding RNAs (lncRNAs) as an important fraction of human transcriptome have been shown to exert fundamental role in regulation of signaling pathways implicated in carcinogenesis. Among them is vitamin D receptor (VDR) signaling whose participation in various cancers including breast cancer is evident. In spite of the presence of several evidences for participation of lncRNAs as well as VDR signaling in breast cancer pathogenesis, no comprehensive study has evaluated the link between lncRNA dysregulation and VDR signaling in breast cancer.

Aim: To introduce a bioinformatics approach for identification of lncRNAs that modulate VDR signaling in breast cancer. This approach includes co-expression analysis, in silico identification of lncRNAs that target VDR and literature search.

Conclusions: Tens of lncRNAs are predicted to affect VDR signaling. Among them are some lncRNAs such as MALAT1 which has a prominent role in breast cancer pathogenesis. The identification of the lncRNAs that influence VDR gene expression is possible through silico analysis. Considering the prominent role of VDR in breast cancer pathogenesis as well as availability of VDR modulating agents, the evaluation of VDR signaling pathways and related networks are of practical significance and bioinformatics tools are expected to facilitate such action.

Full Text:

PDF (English)

Na tento článek odkazuje

  • Aktuálně neexistují žádné citace.