Overexpression of miR-17 predicts adverse prognosis and disease recurrence for acute myeloid leukemia

Zhang, Xiaoying

doi:10.1007/s10147-022-02161-5

Cited by 4 publications

(5 citation statements)

References 47 publications

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“…Our data is similar to Bomben et al’s results who demonstrated significantly higher expression levels of miR-17-5p in ZAP-70-positive CLL patients [ 39 ]. In addition, miR-17-5p has been shown to be overexpressed in acute myeloid leukemia and could be considered as an independent negative prognostic factor [ 40 ]. On the other hand, Moussay et al found that levels of circulating miR-20a-5p correlated with the disease stage, which was similar to the value obtained using ZAP-70 directly [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

Chocholska

Zarobkiewicz

Szymańska

et al. 2023

IJMS

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The aim of this study was to investigate the expression of miR-17∼92 cluster members in chronic lymphocytic leukemia (CLL) patients. Six microRNAs (miRNAs)—miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a, and miR-92a-1—very poorly characterized in CLL patients, were chosen for the study to consider their possible role as cancer biomarkers. It is currently unclear to which extent miR-17~92 expression is related to other routinely measured CLL markers, and whether the findings can be of any clinical significance. To achieve this goal, we report the expression levels of these miRNAs detected by RT-qPCR in purified CD19+ B lymphocytes of 107 CLL patients and correlate them with existing clinical data. The study provides new evidence regarding the heterogeneity of miR-17~92 cluster members’ expression in CLL patients. Higher miR-17-5p expression was associated with unfavorable prognostic factors (i.e., 17p and 11q deletions, CD38 and ZAP-70 expression). On the other hand, miR-19a, miR-20a, and miR-92a-1 negatively correlated with these adverse factors. The presence of del(13q) as a sole aberration was associated with a significantly lower miR-17-5p as well as higher miR-19a-3p and miR-92a-1-5p expression compared to patients carrying unfavorable genetic aberrations. Particularly, miR-20a could be considered an independent favorable prognostic factor. In a multivariate analysis, high miR-20a expression remained an independent marker predicting long TTT (time to treatment) for CLL patients.

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Section: Discussionmentioning

confidence: 99%

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

Chocholska

Zarobkiewicz

Szymańska

et al. 2023

IJMS

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“…Thus, in MLL, where the abovementioned miRNAs are overexpressed, targeting both miR-17-5p and miR-19a-3p by antagomiRs reduces the ability of MLL cells to form colonies compared to non-MLL AML controls [58]. Several other studies suggested that the miR-17 cluster is associated with a poor prognosis [33,59] through several mechanisms, including the promotion of leukemic blast proliferation [60]. With regard to macrophage polarization, miR-17 and miR-20a promote an M1 phenotype by inhibiting signal-regulatory protein a (SIRPa) [60].…”

Section: Micrornas Associated With a Bad Prognosis Of Aml And M1 Pola...mentioning

confidence: 97%

“…Many reports presented the association between miRNA expression and specific chromosomal abnormalities [26,27] or mutations in AML [28][29][30]. On the other hand, miRNAs were also associated with prognosis, disease progression, or proliferation [31][32][33][34]. Based on these findings, miRNAs are now regarded as important biomarkers that might predict the response to treatment, the risk of progression, or the rate of complete remission (CR) and overall survival (OS) in both solid cancers of hematological malignancies [35][36][37][38].…”

Section: Mirnas and Cancermentioning

confidence: 99%

“…The miR-17-92 cluster (miR-17-5p, miR-17-3p, miR-18a, miR-19a, miR-19b, miR-20a, and miR-92-1), or oncomiR-1, is highly dysregulated in several solid and hematological cancers [33]. This cluster regulates a plethora of transcription factors such as TP53, c-MYC, n-MYC, STAT3, MXI1, E2F1, E2F2, E2F3, and NKX3.1.…”

Section: Micrornas Associated With a Bad Prognosis Of Aml And M1 Pola...mentioning

confidence: 99%

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MicroRNAs Associated with a Bad Prognosis in Acute Myeloid Leukemia and Their Impact on Macrophage Polarization

Jimbu,

Mesaros,

Joldes

et al. 2024

Biomedicines

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MicroRNAs (miRNAs) are short, non-coding ribonucleic acids (RNAs) associated with gene expression regulation. Since the discovery of the first miRNA in 1993, thousands of miRNAs have been studied and they have been associated not only with physiological processes, but also with various diseases such as cancer and inflammatory conditions. MiRNAs have proven to be not only significant biomarkers but also an interesting therapeutic target in various diseases, including cancer. In acute myeloid leukemia (AML), miRNAs have been regarded as a welcome addition to the limited therapeutic armamentarium, and there is a vast amount of data on miRNAs and their dysregulation. Macrophages are innate immune cells, present in various tissues involved in both tissue repair and phagocytosis. Based on their polarization, macrophages can be classified into two groups: M1 macrophages with pro-inflammatory functions and M2 macrophages with an anti-inflammatory action. In cancer, M2 macrophages are associated with tumor evasion, metastasis, and a poor outcome. Several miRNAs have been associated with a poor prognosis in AML and with either the M1 or M2 macrophage phenotype. In the present paper, we review miRNAs with a reported negative prognostic significance in cancer with a focus on AML and analyze their potential impact on macrophage polarization.

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“…Ostrovsky et al observed that multiple SNPs in HPSE were significantly associated with hematological malignancies, including acute myeloid leukemia (AML) [52]. Cao et al recently proposed that the miRNA miR-17 was associated with AML and served as an independent prognostic factor of AML survival; HPSE was detected as one of the miR-17 targets [53]. A differential expression analysis was conducted on the independent testing dataset GSE15061 by GEO2R [54].…”

Section: Leukemia Associations Of Dark Biomarkersmentioning

confidence: 99%

Seven non-Differentially Expressed ‘Dark Biomarkers’ Show Transcriptional Dysregulation in Chronic Lymphocytic Leukemia

et al. 2023

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Aim: Transcriptional regulation is actively involved in the onset and progression of various diseases. This study used the feature-engineering approach model-based quantitative transcription regulation to quantitatively measure the correlation between mRNA and transcription factors in a reference dataset of chronic lymphocytic leukemia (CLL) transcriptomes. Methods: A comprehensive investigation of transcriptional regulation changes in CLL was conducted using 973 samples in six independent datasets. Results & conclusion: Seven mRNAs were detected to have significantly differential model-based quantitative transcription regulation values but no differential expression between CLL patients and controls. We called these genes ‘dark biomarkers’ because their original expression levels did not show differential changes in the CLL patients. The overlapping lncRNAs might have contributed their transcripts to the expression miscalculations of these dark biomarkers.

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Overexpression of miR-17 predicts adverse prognosis and disease recurrence for acute myeloid leukemia

Cited by 4 publications

References 47 publications

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

MicroRNAs Associated with a Bad Prognosis in Acute Myeloid Leukemia and Their Impact on Macrophage Polarization

Seven non-Differentially Expressed ‘Dark Biomarkers’ Show Transcriptional Dysregulation in Chronic Lymphocytic Leukemia

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