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

ALHD+ H1975 lung adenocarcinoma stem cells(LSCs), confirmed to be found in LUAD, is one rare subset within lung adenocarcinoma(LUAD). They could self-renew, drive tumor initiation, growth, metastasis, and recurrence, and are also considered to be the main cause of poor prognosis because of their intrinsic resistance to drugs and chemotherapy, which prompts them to be a promising target for LUAD therapy. NcRNAs, including miRNAs, lncRNAs, circRNAs are thought to exert many significant regulatory functions in the pathogenesis of human cancers, showing the necessity for a comprehensive understanding of the mechanisms that underlie lung carcinogenesis. Notwithstanding that research focus on many known transcripts and messenger RNAs(mRNAs) genes has already generated new information, unknown biomarkers on ncRNAs and systematic, comprehensive interrelation on those unknown ncRNAs and mRNAs may also give insight into the biology of LUAD. Herein, we identified a set of novel ncRNAs including miRNAs, lncRNAs, circRNAs, and obtained differentially expressed landscapes on ncRNAs and mRNAs between LSCs and ALDH- H1975 lung adenocarcinoma tumor cells(LTCs) by using stringent bio-informatics pipelines. Through further meta-analysis with those landscapes subsequently, we constructed novel competitive endogenous RNA(ceRNA) networks to excavate the potential molecular mechanisms that regulate the hallmarks of LSCs and LTCs. To sum up, these results summarize novel ncRNAs and the fundamental roles of differentially expressed ncRNAs that have been implicated in LSCs and LTCs behaviors. It also provides a more comprehensive resource for the futural identification of diagnostic, therapeutic, and prognostic biomarkers in LUAD.