ArticleBMC medical genomics2023
Potential miRNA-gene interactions determining progression of various ATLL cancer subtypes after infection by HTLV-1 oncovirus.
Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Exploring genetic signatures of obesity: hub genes and miRNAs unveiled through comprehensive bioinformatic analysis.Journal of diabetes and metabolic disorders · 2024Article
- MicroRNAs Associated with IgLON Cell Adhesion Molecule Expression.Current issues in molecular biology · 2024Review
- Knockdown of FOXRED2 restrains proliferation, invasion and migration of human melanoma cells.Heliyon · 2023Article
- Gene biomarkers and classifiers for various subtypes of HTLV-1-caused ATLL cancer identified by a combination of differential gene co‑expression and support vector machine algorithms.Medical microbiology and immunology · 2023Article
- Editorial: Computational systems immunovirology.Frontiers in immunology · 2023Article
- Viral oncogenes, viruses, and cancer: a third-generation sequencing perspective on viral integration into the human genome.Frontiers in oncology · 2023Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdult T-cell Leukemia/Lymphoma (ATLL) is a rapidly progressing type of T-cell non-Hodgkin lymphoma that is developed after the infection by human T-cell leukemia virus type 1 (HTLV-1). It could be categorized into four major subtypes, acute, lymphoma, chronic, and smoldering. These different subtypes have some shared clinical manifestations, and there are no trustworthy biomarkers for diagnosis of them.
methodsWe applied weighted-gene co-expression network analysis to find the potential gene and miRNA biomarkers for various ATLL subtypes. Afterward, we found reliable miRNA-gene interactions by identifying the experimentally validated-target genes of miRNAs.
resultsThe outcomes disclosed the interactions of miR-29b-2-5p and miR-342-3p with LSAMP in ATLL_acute, miR-575 with UBN2, miR-342-3p with ZNF280B, and miR-342-5p with FOXRED2 in ATLL_chronic, miR-940 and miR-423-3p with C6orf141, miR-940 and miR-1225-3p with CDCP1, and miR-324-3p with COL14A1 in ATLL_smoldering. These miRNA-gene interactions determine the molecular factors involved in the pathogenesis of each ATLL subtype and the unique ones could be considered biomarkers.
conclusionThe above-mentioned miRNAs-genes interactions are suggested as diagnostic biomarkers for different ATLL subtypes.
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