Identification of novel multi-omics expression landscapes and meta-analysis of landscape-based competitive endogenous RNA networks in ALDH+ lung adenocarcinoma stem cells

Non-coding RNAs(ncRNAs) landscape based on cancer stem cells (CSCs) provide novel predictive biomarkers for lung adenocarcinoma patients. Comprehensive and systematic in silico analysis on ncRNAs, including micro RNAs(miRNAs), long non-coding RNAs(lncRNAs), circular RNAs(circRNAs) uncover potential survival mechanisms on CSCs and cancer cells, respectively. The target of our research was to predict added novel ncRNAs, such as miRNAs, lncRNAs, circRNAs, and probe the interplay of those small molecules to excavate the potential signaling mechanism of lung adenocarcinoma stem cells(LSCs) and lung adenocarcinoma tumor cells(LTCs). Our study integrated exhaustive ncRNAs and uncover their functional roles involved in LSCs and LTCs behaviors, which provided promising biomarkers for lung adenocarcinoma(LUAD) diagnosis and therapy.