ArticleCancer research2023
Single-Cell Analysis in Lung Adenocarcinoma Implicates RNA Editing in Cancer Innate Immunity and Patient Prognosis.
Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Editing regulatory network in non-small cell lung cancer: implications for immunity and metastasis.Human genomics · 2026Article
- Peripheral blood mononuclear cell DNA methylation signatures guide surgical decision-making in indeterminate pulmonary nodules.Communications medicine · 2026Article
- Integration of RNA Editing into Multiomics Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients.Biomedicines · 2026Article
- Molecular Context of ADAR-Mediated Editing of Coding RNA in Colorectal and Lung Cancers.International journal of molecular sciences · 2026Article
- RNA editing: an emerging frontier in cancer therapy - explorations, opportunities, and challenges.International journal of surgery (London, England) · 2026Article
- CYP27A1 suppresses brain metastasis via ferroptosis in lung adenocarcinoma: a six-gene signature predicting the immunotherapy response and clinical outcomes.Cancer cell international · 2025Article
- Genetic architecture of RNA editing, splicing and gene expression in schizophrenia.Human molecular genetics · 2025Article
- Deciphering the mechanistic roles of ADARs in cancer pathogenesis, tumor immune evasion, and drug resistance.Frontiers in immunology · 2025Review
- Integration of RNA Editing with Multiomics Data Improves Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients.Research square · 2024Article
- ADAR-Mediated A>I(G) RNA Editing in the Genotoxic Drug Response of Breast Cancer.International journal of molecular sciences · 2024Review
- A Comprehensive Analysis of the Effect of A>I(G) RNA-Editing Sites on Genotoxic Drug Response and Progression in Breast Cancer.Biomedicines · 2024Article
- Harnessing ADAR-Mediated Site-Specific RNA Editing in Immune-Related Disease: Prediction and Therapeutic Implications.International journal of molecular sciences · 2023Review
- dsRID: in silico identification of dsRNA regions using long-read RNA-seq data.Bioinformatics (Oxford, England) · 2023Article
- dsRID: Editing-free in silico identification of dsRNA region using long-read RNA-seq data.bioRxiv : the preprint server for biology · 2023Article
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5 authors at 2 institutions in 1 country.
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Abstract
RNA editing modifies single nucleotides of RNAs, regulating primary protein structure and protein abundance. In recent years, the diversity of proteins and complexity of gene regulation associated with RNA editing dysregulation has been increasingly appreciated in oncology. Large-scale shifts in editing have been observed in bulk tumors across various cancer types. However, RNA editing in single cells and individual cell types within tumors has not been explored. By profiling editing in single cells from lung adenocarcinoma biopsies, we found that the increased editing trend of bulk lung tumors was unique to cancer cells. Elevated editing levels were observed in cancer cells resistant to targeted therapy, and editing sites associated with drug response were enriched. Consistent with the regulation of antiviral pathways by RNA editing, higher editing levels in cancer cells were associated with reduced antitumor innate immune response, especially levels of natural killer cell infiltration. In addition, the level of RNA editing in cancer cells was positively associated with somatic point mutation burden. This observation motivated the definition of a new metric, RNA editing load, reflecting the amount of RNA mutations created by RNA editing. Importantly, in lung cancer, RNA editing load was a stronger predictor of patient survival than DNA mutations. This study provides the first single cell dissection of editing in cancer and highlights the significance of RNA editing load in cancer prognosis. SIGNIFICANCE: RNA editing analysis in single lung adenocarcinoma cells uncovers RNA mutations that correlate with tumor mutation burden and cancer innate immunity and reveals the amount of RNA mutations that strongly predicts patient survival. See related commentary by Luo and Liang, p. 351.
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