ArticleCancer cell international2018
Identification of long non-coding RNA competing interactions and biological pathways associated with prognosis in pediatric and adolescent cytogenetically normal acute myeloid leukemia.
Article in Cancer cell international, 2018. 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, 23 citations in OpenAlex.
- Identifying key genes and functionally enriched pathways in acute myeloid leukemia by weighted gene co-expression network analysis.Journal of applied genetics · 2025Article
- The Role of Long Noncoding RNAs in Progression of Leukemia: Based on Chromosomal Location.MicroRNA (Shariqah, United Arab Emirates) · 2024Review
- Investigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patients.Frontiers in genetics · 2023Article
- Combined scRNAseq and Bulk RNAseq Analysis to Reveal the Dual Roles of Oxidative Stress-Related Genes in Acute Myeloid Leukemia.Oxidative medicine and cellular longevity · 2023Article
- Article
- Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA-miRNA-mRNA network.Scientific reports · 2022Article
- Identification of Survival-Related Genes in Acute Myeloid Leukemia (AML) Based on Cytogenetically Normal AML Samples Using Weighted Gene Coexpression Network Analysis.Disease markers · 2022Article
- Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach.Pediatric research · 2021Article
- DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms.BMC bioinformatics · 2021Article
- Construction of a 14-lncRNA risk score system predicting survival of children with acute myelocytic leukemia.Experimental and therapeutic medicine · 2020Article
- LINC01128 resisted acute myeloid leukemia through regulating miR-4260/NR3C2.Cancer biology & therapy · 2020Article
- Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation.BioMed research international · 2020Article
- The Study of Sarcoma Microenvironment Heterogeneity Associated With Prognosis Based on an Immunogenomic Landscape Analysis.Frontiers in bioengineering and biotechnology · 2020Article
- Identification of RE1-Silencing Transcription Factor as a Promoter of Metastasis in Pancreatic Cancer.Frontiers in oncology · 2019Article
- Long Non-coding RNAs in Myeloid Malignancies.Frontiers in oncology · 2019Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLncRNAs can regulate miRNAs and mRNAs by sequestering and binding them. Indeed, many researchers have reported lncRNA mediated-competing endogenous RNAs (ceRNAs) could regulate the progression of solid tumors. However, the roles of ceRNA in acute myeloid leukemia (AML), especially in pediatric and adolescent AML, were not completely expounded. MATERIALS AND
methods27 cytogenetically normal acute myeloid leukemia (CN-AML) patients under 18 years old with corresponding clinical data were selected from the cancer genome atlas (TCGA), which was a large sample sequencing database of RNA sequencing. We constructed a survival specific ceRNA network, and investigated its associations with patients' clinical information by analyzing the data from TCGA.
resultsWe identified survival specific lncRNAs, miRNAs and mRNAs, and constructed a survival specific ceRNA network of CN-AML patients and a weighted correlation network. Furthermore, we identified 4 biological pathways associated with OS and selected the most enriched pathway 'Transcriptional misregulation in cancer' to verify that it could accurately predict younger CN-AML patients' prognosis to guide treatment.
conclusionsWe successfully constructed a survival specific ceRNA network which could provide a new approach to lncRNA research in younger CN-AML. Importantly, we constructed a weighted correlation network to overcome the difficulty in biological interpretation of individual genes.
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