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Identification of Novel Multi-Omics Expression Landscapes and Meta-Analysis of Landscape-Based Competitive Endogenous RNA Networks in ALDH+ Lung Adenocarcinoma Stem Cells

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Submitted:

16 May 2022

Posted:

16 May 2022

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Abstract
ALHD+ H1975 lung adenocarcinoma stem cells(LSCs), confirmed to be found in LUAD, is one rare subset within lung adenocarcinoma(LUAD) cancer cells. 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 drug 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 development of LUAD. However, systematic and comprehensive molecular profiling on ncRNAs and messenger RNAs(mRNAs) between LSCs and ALDH- H1975 lung adenocarcinoma tumor cells(LTCs) is insufficient. Therefore, by using stringent bio-informatics pipelines, we identified a set of novel ncRNAs including miRNAs, lncRNAs, circRNAs, and obtained differentially expressed landscapes on ncRNAs and mRNAs. 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. Herein, 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.
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Subject: Medicine and Pharmacology  -   Oncology and Oncogenics
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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