Novel RNA epigenetics-driven technologies for rapid prediction of cancer drug resistance.

Abstract

e19001 Background: The human genome comprises ~99% non-coding DNA sequences (ncDNAs), most of which are actively transcribed into various forms of non-coding RNAs (ncRNAs) that undergo extensive chemical modifications to regulate various functions of the subcellular organelles in human cells ( Statello, et al. Nat Rev Mol Cell Biol 2020). However, the clinical potential of RNA modifications and RNA modifying proteins, i.e., RNA epigenetics, is largely unexplored. In a recent study ( Cheng et al. Nat Commun 2018), we first demonstrated that specific RNA cytosine methyltransferases (RCMTs), namely NSUN1 and NSUN2, directly interact with elongating RNA polymerase II (eRNAPII) and the bromodomain-containing protein 4 (BRD4) to form distinct active chromatin structures (ACS) that regulate drug resistance in leukemia cells. This proof-of-concept study enabled us to develop the first-generation of RNA epigenetics-driven drug-predictive system. The primary goal of this study is to validate and optimize this novel drug-predictive system with clinical myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Methods: We developed new technologies, including 5-ethynyl uridine click chemistry (EC) and proximity ligation rolling cycle amplification (PL-RCA)-coupled confocal microscopy (CM), flow cytometry (FCM) and RNA sequencing (RNA-seq). Immunohistochemistry (IHC), western blot (WB), co-immunoprecipitation (co-IP), and dot blot were also used in this study. Results: Our data demonstrated significantly increased expression of the NSUN1, NSUN2 and other key components of the drug-resistant ACS in MDS/AML, which is correlated with disease progression and drug resistance in MDS and AML. We have developed novel technologies, i.e., EC- and PL-RCA-coupled CM and FCM (EC-/PL-RCA/CM & FCM) to visualize and quantify RCMTs-mediated ACS and nascent RNA synthesis in MDS/AML. We discovered nascent RNA synthesis as a highly sensitive and super-fast drug-predictive marker that is independent of cell death and apoptosis. Our data demonstrated that PL-RCA/FCM and EC-/CM have a very high sensitivity to detect the NSUN1/2-mediated ACS in leukemia cell lines and clinical MDS/AML specimens. Our preliminary data demonstrated that increased levels of NSUN1/2-mediated ACS detected by PL-RCA/FCM in pre-treatment MDS/AML can rapidly predict the responses to venetoclax and/or azacitidine. We are actively pursuing RNA-seq targeting NSUN1/2-associated nascent RNAs and ACS, which provides a novel strategy to dissect the functional genomics and RNA epigenetics underlying cancer drug resistance. Conclusions: We have developed a novel RCMTs/NSUN1/2-targeting system for rapid prediction and in-depth analysis of drug resistance in MDS/AML. A large sized clinical study is needed to further validate its usefulness in clinical settings.