ArticleClinical and experimental medicine2023
CircZBTB46 predicts poor prognosis and promotes disease progression of myelodysplastic syndromes and acute myeloid leukemia.
Article in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
- Circular RNA as Diagnostic and Prognostic Biomarkers in Hematological Malignancies:Systematic Review.Technology in cancer research & treatmentPooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Circular RNAs (circRNAs) have been recently identified as important regulators of various diseases, especially cancer. However, the roles of circRNAs in hematologic malignancies have been rarely reported. This study aimed to identify a specific circRNA expression profile in patients with myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), and to evaluate the biological roles of circRNA in MDS and AML for understanding their clinical significance. Reverse transcription-quantitative PCR was performed to validate the expression of circZBTB46. Kruskal-Wallis test, Kaplan-Meier curves, and the Cox regression model were employed to analyze the clinical significance of circZBTB46. Two specific shRNAs as well as an expression lentiviral vector of circZBTB46 were constructed to identify the biological function of circZBTB46. The impact of circZBTB46 on leukemia cell proliferation, cell cycle distribution, and apoptosis was confirmed using cell viability assay and flow cytometry analysis. The expression of circZBTB46 gradually increased in patients with higher-risk MDS and AML, as compared to controls. CircZBTB46 expression was significantly correlated with important clinical parameters of MDS, including WHO classification, absolute neutrophil count (ANC), marrow blast, IPSS karyotype, IPSS/IPSS-R risk groups, and AML transformation. CircZBTB46 expression was also associated with ANC, marrow blast, cytogenetic risk groups, FLT3-ITD mutation, and treatment response in AML patients. Furthermore, circZBTB46 overexpression was significantly correlated with shorter overall survival (OS, P = 0.0342, median survival time 18.5 vs. 45.4 months) and leukemia-free survival (LFS, P = 0.0421) in MDS, also with the shorter OS in AML (P = 0.0293, median survival time 11.6 vs. 16.9 months). Functional studies revealed that silencing circZBTB46 expression significantly inhibited proliferation and induced apoptosis in SKM-1, THP-1, and K562 cell lines, while rescue experiments alleviated the siRNA-mediated growth inhibition and apoptosis in these leukemic cells. The present data suggested the essential oncogenic role of circZBTB46, as a progression and survival indicator in both MDS and AML.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.