ArticleCancer cell international2022
The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients.
Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 22 citations in OpenAlex.
- The Multifaceted Roles ofNon-coding RNA · 2025Review
- Integrative bulk and single-cell transcriptomic analysis identifies a migrasome-associated lncRNA signature predictive of prognosis and immune landscape in clear cell renal cell carcinoma.Frontiers in immunology · 2025Article
- Regulatory function and mechanism research for m6A modification WTAP via SUCLG2-AS1- miR-17-5p-JAK1 axis in AML.BMC cancer · 2024Article
- Development and validation of a promising 5-gene prognostic model for pediatric acute myeloid leukemia.Molecular biomedicine · 2024Article
- LncRNA CRNDE binds hnRNPA1 to facilitate carbon monoxide poisoning-induced delayed encephalopathy via inhibiting UCHL5-mediated SMO deubiquitination.Metabolic brain disease · 2023Article
- Antisense lncRNAFrontiers in molecular biosciences · 2023Article
- RNA Modifications Meet Tumors.Cancer management and research · 2022Review
- Research Progress of B-Cell Lymphoma/Leukemia-2 Inhibitor Combined with Azacytidine in the Targeted Therapy of Acute Myeloid Leukemia.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundChronic myeloid leukemia (CML) and acute myeloid leukemia (AML) are two common malignant disorders in leukemia. Although potent drugs are emerging, CML and AML may still relapse after the drug treatment is stopped. N6-methyladenosine (m6A) and lncRNAs play certain roles in the occurrence and development of tumors, but m6A-modified LncRNAs in ML remain to be further investigated.
methodsIn this study, we extracted and analyzed the TCGA gene expression profile of 151 ML patients and the clinical data. On this basis, we then evaluated the immune infiltration capacity of ML and LASSO-penalized Cox analysis was applied to construct the prognostic model based on m6A related lncRNAs to verify the prognostic risk in clinical features of ML. Quantitative reverse transcription PCR was used to detect the expression level of LncRNA in in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1.
resultsWe found 70 m6A-related lncRNAs that were related to prognosis, and speculated that the content of stromal cells and immune cells would correlate with the survival of patients with ML. Next, Prognostic risk model of m6A-related lncRNAs was validated to have excellent consistency in clinical features of ML. Finally, we verified the expression levels of CRNDE, CHROMR and NARF-IT1 in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1, which were significant.
conclusionsThe research provides clues for the prognosis prediction of ML patients by using the m6A-related lncRNAs model we have created, and clarifies the accuracy and authenticity of it.
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