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. 2026 Jun 2;16:25194. doi: 10.1038/s41598-026-53048-8

Tumor suppressor effects of miR-143 and miR-199 on the K562 myelogenous leukemia cell line by targeting the RNA-binding protein Musashi2

Liana Lachinani 1,#, Rana Iranpour 1,2,#, Mahboobeh Forouzanfar 1, Mohammad Hossein Nasr-Esfahani 1, Kianoush Dormiani 1,✉
PMCID: PMC13470451  PMID: 42230676

Abstract

The RNA-binding protein Musashi2 plays a critical role in normal and malignant hematopoiesis. Aberrant expression of Musashi2 is linked to the inappropriate expression of several miRNAs. In this study, we observed downregulation of miR-143 and miR-199 in CML and AML cell lines. Bioinformatic analysis revealed potential interactions between these miRNAs and Musashi2 mRNA, which were also confirmed by our experimental data. In K562 cells, which showed the strongest negative correlation between Musashi2 and the candidate miRNAs, overexpression of miRNAs led to reduced cell proliferation and invasiveness. Overexpression of miR-143 and miR-199 decreased the mRNA and protein levels of Musashi2 in K562 cells, a CML cell line. MiR-143 exhibited a more significant reduction in cell proliferation and invasion compared to miR-199a. Our results indicate that the overexpression of these tumor suppressor miRNAs and the subsequent downregulation of Musashi2 are responsible for reducing the cancerous properties of malignant myeloid cells, although the potential targeting of other genes by these miRNAs may contribute to these effects. Accordingly, these miRNAs could also be investigated for their effects on the behavior of cancer cells derived from clinical samples of myelogenous leukemias to evaluate their potential roles as new molecular targets in the treatment of this type of cancer.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-026-53048-8.

Keywords: miRNA, MSI2, Myeloid leukemia, RNA-binding protein, Tumor suppressor

Subject terms: Cancer, Cell biology, Computational biology and bioinformatics, Molecular biology, Oncology

Introduction

Leukemia cells exhibit a dysregulated developmental program caused by various genetic and epigenetic alterations, which are considered major steps in the progression of leukemogenesis1,2. Additionally, post-transcriptional modifications play a crucial role in gene regulation. For instance, mRNA transcripts undergo several processes regulated by non-coding RNAs (ncRNAs) or RNA-binding proteins (RBPs), with dysregulated expression patterns observed in numerous cancer types3–5. MSI2, a member of the Musashi RNA-binding protein family, plays a key role in normal hematopoiesis, and its abnormal expression is associated with various hematopoietic malignancies. Unlike MSI1, its primarily discovered homolog expressed in multiple tissues, MSI2 is mainly expressed in hematopoietic stem cells (HSCs). Elevated expression of MSI2 leads to a higher number of progenitor and stem cells, rapid leukemia progression, and a poorer clinical prognosis in leukemic patients6,7. According to the Cancer Genome Atlas (TCGA, 2012), genomic and RNA sequencing data of primary tumors showed that MSI genes were not significantly mutated in most cancers but were overexpressed in several tumor types8. Elevated levels of MSI2 proteins have been detected in chronic myelogenous leukemia (CML), acute myelogenous leukemia (AML), and acute lymphoblastic leukemia (ALL). Conversely, its depletion leads to reduced cellular proliferation, increased apoptosis, and differentiation of human myeloid leukemia cell lines6,7,9. Numerous studies have reported that dysregulated expression of MSI2 may be due to dysregulated expression of MSI2-targeting miRNAs10–12.

MicroRNAs (miRNAs) are small endogenous non-coding RNAs that play critical roles in various biological processes. They regulate their target genes by influencing mRNA stabilization, splicing, or post-transcriptional repression13,14. Abnormal expression profiles of miRNAs have been observed in numerous malignancies, including leukemia. Due to their stability in biological fluids, cancer-related miRNAs have emerged as prognostic biomarkers for determining cancer subtypes, stages, and treatment responses15–17. In malignancies, miRNAs can impact tumor growth, invasion, apoptosis, and angiogenesis, acting as either tumor suppressor miRNAs or oncomiRs. Stimulation of tumor suppressor miRNAs or inhibition of oncomiRs can result in complete regression of the cancer18–20. The first case of microRNA dysregulation was reported in chronic lymphocytic leukemia (CLL), where down-regulation of miR-15 and miR-16 caused by a frequent deletion of the 13q14 region leads to increased expression of their targets including the BCL2 antiapoptotic protein21,22. Several critical miRNAs and their target genes involved in hematopoiesis and hematological conditions have been identified. Multiple high-throughput studies have reported that the expression of miR-143 and miR-199a, recognized as tumor suppressor miRNAs, is decreased in leukemia23,24. Consequently, these miRNAs have been proposed as potential prognostic biomarkers and/or therapeutic targets in human leukemia25–27.

Given the negative correlation between the expression patterns of these miRNAs and MSI2, we aimed to investigate whether MSI2 could be a direct target for miR-143 and miR-199a in various leukemia cell lines. However, our preliminary results led to the selection and application of K562 cells as the only qualified cell line for further studies. To validate our bioinformatic predictions, we experimentally examined the targeting of MSI2 by miR-143 and miR-199a and assessed the impact of these miRNAs on the proliferation and invasion of K562 cells.

Materials and methods

Bioinformatics studies

Potential miRNA binding sites in the 3’UTR region of MSI2 were predicted using several bioinformatics prediction websites, including TargetScan (http://www.targetscan.org/)28, miRDB (http://www.mirdb.org/)29, miRWalk (http://mirwalk.umm.uni-heidelberg.de/)30, PicTar2 (https://pictar.mdc-berlin.de/)31, miRMap (http://cegg.unige.ch/mirmap)32, miRNAMap 2.0 (http://mirnamap.mbc.nctu.edu.tw/)33, miRTarBase 6.0 (https://mirtarbase.cuhk.edu.cn/~miRTarBase/miRTarBase_2022/php/index.php)34, RNAhybrid (http://bibiserv.techfak.uni-bielefeld.de/rnahybrid)35, and RNA22 (https://cm.jefferson.edu/rna22/)36. The selection of candidate miRNAs was based on factors such as minimum free energy, conservation status and the number of binding sites. MiRNAs that met al.l criteria and received high scores from multiple websites were selected for further analysis. Moreover, the expression profiles of the candidate miRNAs in normal and malignant hematopoietic cells were assessed using GEO array data from GSE51908 and GSE28825. The final candidate miRNAs with decreased expression levels in malignant samples were prioritized for further investigation.

DNA constructions

Human miR-143 and miR-199a precursors (MIMAT0000435 and MIMAT0000232) were PCR amplified using specific primers (Table 1A) and pfu enzyme (Thermo Scientific, USA). Each miRNA precursor was subcloned into the XbaI and SalI sites of the pBud-EGFP vector, a modified version of pBudCE4.1 (Invitrogen) that overexpresses EGFP. The miRNA precursors were placed under the CMV promoter, and the new vectors were named pBud-miR-143 and pBud-miR-199a. Additionally, the pBud-Scr vector containing the universal scramble precursor was utilized as the negative control vector37. Another set of vectors was created for the dual-luciferase assay by subcloning the wild type or mutated 3’UTR of MSI2 into the psiCHECK2 vector (Promega, USA). The 3’UTR region of MSI2 (NM_138962.3), which is 5.1 kb in length, and the mutated fragments lacking the seed-complementary regions were amplified using SOEing PCR. Multiple PCR primer sets were designed using Oligo7 (Table 1B). The obtained wild type and mutated 3’UTR regions were then subcloned downstream of the Renilla luciferase at the XhoI and NotI sites of psiCHECK2. The accuracy of all constructions was confirmed through restriction enzyme digestion and sequencing analysis.

Table 1.

The list of primers used in this study.

Primer name Primer sequence Product length
A) Primers used for amplification of miRNA precursors
miR-199a precursor F: 5’-GTCGACAGTGGTGGTTTCCTTGGCTGCTCAG-3’ 309 bp
R: 5’-GTCTAGATCGAATCTTCTATGCGAGGCTCTGC-3’
miR-143 precursor F: 5’-GTCGACAGACAGGAAACACAGTTGTGAGG-3’ 321 bp
R: 5’-GTCTAGAATGGAGTCTGGAAACACTCTGTCC-3’
B) Primers used for amplification of normal and mutant 3’UTR regions of MSI2
MSI2U1

F: 5’-GCTCGAGGCAGGTGCTTTCGTTGCCATCTCACTCTGA

GAGCATACCTGGATGTCC-3’

1427 bp
R: 5’-CAGGCTTATCCACTCCTGGCCCATG-3’
MSI2U2 F: 5’-CTATTGTCCAATCATTTCAGCACC-3’ 1457 bp
R: 5’-AGACCTTGGGTTAGTTGAAACCAC-3’
MSI2U3 F: 5’-TGTAAGCGTGCTGTCCTGGTACTAG-3’ 1215 bp
R: 5’-GCAAGATGTGTGTAACATTCACTGG-3’
MSI2U4 F: 5’-CTCTATCCCAGTCGCCCATTAGCTTG-3’ 1615 bp
R: 5’-GCGGCCGCAACACATTGATTTCTGGACCACAGTAG-3’
mutU1

F: 5’-GCAGGTGCTTTCGTTGCACTCTGAGAGCATACCTGGA

TGTC-3’

192 bp

R: 5’-GTTGTCTTATATTACAGCAGATTCGTTAGTCAACCCT

CGATCCGAAGTG-3’

mutF2

F: 5’-TTCGGATCGAGGGTTGACTAACGAATCTGCTGTAAT

ATAAGACAACAGC-3’

1254 bp
mutR4

R: 5’-TGGGATGGTACATTATGTACAGAATAAGAGAACCTT

CGAGGGAGGCTC-3’

1156 bp
Primer name Accession number Primer sequence
C) Primers used for RT-qPCR
GAPDH NM_001357943.2 F: 5’-CCACTCCTCCACCTTTGACG-3’
R: 5’-CCACCACCCTGTTGCTGTAG-3’
MSI2 NM_138962.4 F: 5’-AACAGGCACAGAGGGTTTG-3’
R: 5’-ATGACTTCTTTCGGCTGAG-3’

Cell lines and culture media

In this study, HEK293T cells, two CML cell lines (K562 and KCL-22), and two AML cell lines (KG-1α and HL-60) obtained from the Pasteur Institute in Iran were used. HEK293T cells were cultured in DMEM high glucose (Gibco, USA), while the CML and AML cell lines were cultured in RPMI1640 (Gibco), all supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin, 0.1 mM non-essential amino acids (all from Gibco), and 2 mM L-Glutamine (Invitrogen, USA). All cell lines were maintained in a humidified incubator at 37 °C with 5% CO2.

Establishment of K562 cell lines stably expressing precursor miRNAs

K562 cells were electroporated with miRNA or precursor-expressing vectors in four groups: pBud-miR-143 group, pBud-miR-199a group, a co-transfected group with both pBud-miR vectors (miR143/miR-199 group), and a pBud-Scr group as the control. For each electroporation reaction, 7 × 106 cells and 20 µg of each plasmid were transferred to electroporation cuvettes (0.2 cm) and electroporated at 155 V, 1000 µF using the Gene Pulser Xcell™ Electroporation System (Bio-Rad, USA). The cells were immediately transferred to a prewarmed culture medium and incubated for 48 h. Subsequently, the electroporated cells were treated with zeocin (Invivogen, USA) at a final concentration of 200 µg/ml to establish stable clones.

Dual-luciferase reporter assay

For luciferase reporter assays, HEK293T cells were transiently co-transfected with luciferase reporter vectors containing the wild-type or mutant 3’UTR region of MSI2, along with vectors expressing the miR-143-3p precursor, miR-199a-3p precursor, or a scramble control. The HEK293T cells were plated in a 24-well plate for the six experimental groups, 24 h before transfection. Transfection reactions were performed using Lipofectamine LTX Reagent (Invitrogen) according to the manufacturer’s protocol. The efficiency of transfection in each group was assessed by the percentage of EGFP-positive cells 24 h after transfection. Firefly and Renilla luciferase activities were measured 48 h post-transfection using the Dual-Luciferase Reporter Assay Kit (Promega) following the manufacturer’s instructions. Finally, the relative luciferase activity was calculated by normalizing the Renilla luciferase activity to the firefly luciferase activity.

Cell proliferation assay

To assess the impact of miRNA overexpression on K562 cell proliferation, an MTS assay was conducted on clones that had been stably transfected with miRNA precursors. Each clone was seeded at a density of 105 cells/ml in triplicate wells of a 96-well plate. After 24 h, 20 µl of MTS solution was added to each well, and the plates were incubated for an additional 3 h. Subsequently, the absorbance was measured at 490 nm and 630 nm using a Stat Fax 2100 Microplate Reader.

Transwell invasion assay

After miRNA overexpression in K562 cells, cell invasiveness was assessed using the transwell invasion assay. Transwell inserts with an 8.0 μm pore size (Corning, USA) were pre-coated with 0.3 mg/ml Matrigel (Sigma, Germany) diluted in DMEM and incubated at 37 °C for 24 h before cell culture. K562 stable clones at a density of 3 × 105 cells/ml were seeded in the serum-free medium in the upper chamber, while the lower chambers were filled with serum-containing medium. The cells were then incubated in a humidified cell culture incubator at 37 °C with 5% CO2 for 48 h. Subsequently, the cells on the lower surface were fixed with 4% paraformaldehyde and stained with a 1% crystal violet solution. Cell counting was conducted in 10 random fields of captured images using a light microscope.

RNA isolation and expression quantitation

Total RNA was extracted from a normal peripheral blood sample obtained from a healthy volunteer who provided informed consent prior to the use of his sample for the research. Similarly, total RNA was also extracted from K562, KCL-22, KG-1α, and HL-60 cell lines, using TRIzol reagent (Invitrogen) following the manufacturer’s protocol. Then, 500 ng of total RNA was treated with DNase I (Thermo Scientific) to eliminate potential genomic DNA contamination, and cDNA synthesis was carried out using a cDNA synthesis kit (Takara, Japan) with random hexamer primers. RT-qPCR was conducted with 50 ng of each cDNA in a Step One Plus Real-Time PCR thermal cycler (Applied Biosystems, USA) under pre-optimized conditions using SYBR premix ExTaqII (Takara) and specific primers listed in Table 1C. The specific primers for the MSI2 gene were designed using Beacon designer (Version 7.2, USA). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was utilized as the reference gene for normalizing the expression of target genes. For miRNA cDNA synthesis, a universal cDNA synthesis kit (Exiqon, Germany) was employed. RNA U6 (Exiqon) served as an internal control for quantifying and normalizing miRNA expression levels. All reactions were performed in triplicate to ensure result reproducibility. The relative quantification of gene or miRNA expression was determined using the threshold cycle difference methods (2−ΔCt and 2−ΔΔCt methods).

Western blot analysis

To evaluate MSI2 protein expression in stably transfected K562 clones, protein extraction was carried out using TRIzol reagent. Approximately 30 µg of total protein lysates were separated by 10–15% SDS-PAGE, transferred onto PVDF membranes, and then cut to a specific size based on the expected band size. The membranes were then probed with primary antibodies against MSI2 (1:4000, Abcam, Ab76148) and GAPDH (1:5000, Millipore, MAB374). Following this, the membranes were incubated with HRP-conjugated IgG secondary antibodies specific to MSI2 and GAPDH antibodies: mouse anti-rabbit IgG (1:7500, SANTA CRUZ, sc-2357) and goat anti-mouse IgG (1:5000, Dako, P0447). The protein bands of interest were visualized using the Amersham ECL Advance Western Blotting Detection Kit (GE Healthcare, USA), and the protein expression levels were quantified using ImageJ software (version 1.42q).

Statistical analysis

Data values were presented as the mean ± standard error of the mean (SEM) for three independent experiments. Comparisons between groups were conducted using analysis of variance (ANOVA) and t-tests. Statistical significance was defined as p values < 0.05, 0.01, 0.001, or 0.0001.

Results

Prediction of candidate miRNAs

Several miRNAs targeting MSI2 were predicted using miRNA-target prediction tools. Among the high-scoring miRNAs predicted by most software were miR-143-3p and miR-199a-3p (Fig. 1A). Hsa-miR143-3p was identified to bind at three positions in the 3’UTR of MSI2, with two binding sites overlapping, while hsa-miR199a-3p binds to only one site (Fig. 1B, C). Furthermore, the expression levels of these candidate miRNAs were analyzed in two high-throughput studies, GSE51908 and GSE28825. The analysis of normal and malignant hematopoietic cells in these studies revealed a decrease in the expression of both miRNAs in leukemia cell lines. These findings enhanced the accuracy of the miRNA selection process.

Fig. 1.

Fig. 1

Predicted miRNA-binding sites in the 3’UTR region of MSI2 mRNA. (A) Bioinformatic tools were used to predict miRNA/MSI2 interactions. (B) The interaction of miR-143-3p at three positions in MSI2-3’UTR. miR-143-3p binds to three distinct sites: 18–24 bp, 173–179 bp, and 180–187 bp, with the last two sites overlapping. (C) Interaction of miR-199a-3p at position 4649–4655 bp of MSI2-3’UTR. The bold nucleotides that complement seed regions were deleted to create mutated 3’UTR fragments.

Interaction of miR-143-3p and miR-199a-3p with MSI2 mRNA

To validate the direct interaction of miR-143-3p and miR-199a-3p with the MSI2 transcript, HEK293T cells were co-transfected with precursors of both miRNAs and luciferase reporter vectors containing the wild-type or mutant 3’UTR region of MSI2. In silico analysis indicated three binding sites for miR-143-3p and one binding site for miR-199a-3p in the 3’UTR region of MSI2 (Fig. 1B, C). Mutated forms of the 3’UTR region were generated by eliminating the complementary sequences of the seed regions using SOEing PCR for each miRNA. As depicted in Fig. 2, overexpression of miR-143 and miR-199a led to a notable decrease in relative luciferase activity in the wild-type groups compared to the mutant groups. Surprisingly, the expression of scramble sequences also resulted in reduced luciferase activity. This decrease could be attributed to the endogenous expression and functional activity of both miRNAs, as reported in other studies. These results confirmed the direct targeting of the MSI2 transcript by both candidate miRNAs as well38,39.

Fig. 2.

Fig. 2

miR-143-3p and miR-199a-3p directly interact with the 3’UTR of MSI2. Luciferase activity decreased in HEK293T cells co-transfected with miRNA precursors and the wild-type 3’UTR compared to the mutant 3’UTR. Error bars represent the mean ± SEM for three independent repeats (****p < 0.0001). Scr: Scramble.

Correlation of MSI2 with miR-143-3p and miR-199a-3p in leukemia cell lines

The endogenous expression level of MSI2 was measured by RT-qPCR in four leukemia cell lines: KCL-22, K562, KG-1α, and HL-60. Among these cell lines, KG-1α and K562 exhibited the highest expression level of MSI2 mRNA (Fig. 3A). Conversely, RT-qPCR analysis confirmed the reduced expression levels of miR-143-3p and miR-199a-3p in all leukemia cells compared to normal blood cells. However, the lowest expression levels for both miRNAs were observed in K562 cells (Fig. 3B). Therefore, we chose K562 cells for further studies.

Fig. 3.

Fig. 3

Expression levels of MSI2 and MSI2-targeting miRNAs in different leukemia cell lines. (A) The relative expression levels of MSI2 were compared in two AML cell lines (HL-60 and KG-1α) and two CML cell lines (K562 and KCL22) with normal blood cells. (B) The expression levels of miR-143-3p and miR-199a-3p in leukemia cell lines were compared to normal blood cells. Data were analyzed using the 2−∆∆Ct method and are shown as log10 of means ± SEM for three independent repeats (*p < 0.05, ***p < 0.001, ****p < 0.0001).

Overexpression effects of miR-143-3p and miR-199a-3p on MSI2 expression in K562 cells

To investigate the impact of miR-143-3p and miR-199a-3p on MSI2 expression, we established K562 clones that stably overexpressed the corresponding miRNAs. We selected the K562 cell line for its high MSI2 expression and low levels of both miRNAs compared to other cell lines (Fig. 3B). Electroporation of K562 cells with the constructed vectors followed by zeocin treatment resulted in the generation of four stable clones: K562-Scr, K562-miR143, K562-miR-199, and K562-miR143/miR-199. The overexpression of miRNAs was confirmed through RT-qPCR analysis (Fig. 4). The results indicated a decrease in both MSI2 mRNA and protein levels in all clones upon overexpressing the candidate miRNAs (Fig. 5). Notably, the most significant reduction in MSI2 protein levels was observed in the K562-miR143/miR-199 clone, where both miRNAs were expressed simultaneously.

Fig. 4.

Fig. 4

Overexpression of miR-143-3p and miR-199a-3p in K562 stable clones. K562 cells were electroporated with vectors containing miR-143 and miR-199a precursors. The expression levels of miR-143-3p and miR-199a-3p in three stable lines were compared with the scramble group. The data were analyzed using the 2−∆∆Ct method, and error bars represent means ± SEM for three independent repeats (***p < 0.001, ****p < 0.0001).

Fig. 5.

Fig. 5

The expression levels of MSI2 after overexpression of miR-143-3p or miR-199a-3p in K562 cells. (A) The mRNA levels of MSI2 were significantly reduced in K562 cells stably transfected with miRNA precursors (*p < 0.05). (B) A representative western blot image displays the MSI2 protein expression levels in stably transfected K562 cells. The figure is a composite image created by cropping and combining two other images, then resized for consistency. The data were normalized to GAPDH as an internal control and quantified using ImageJ software (version 1.42q). Error bars represent means ± SEM for three independent repeats (*p < 0.05, **p < 0.01). Scr: Scramble.

Overexpression effect of miR-143-3p and miR-199a-3p on cell proliferation and invasiveness

The MTS assay was used to evaluate the proliferation of K562 clones that stably expressing miR-143-3p and miR-199a-3p. The results indicated that overexpression of miR-143-3p decreased cell proliferation, while miR-199a-3p did not significantly affect cell proliferation (Fig. 6). Furthermore, the transwell invasion assay demonstrated that K562 clones with stable overexpression of miR-143-3p and miR-199a-3p exhibited lower invasiveness compared to intact K562 cells (Fig. 7). In clones co-transfected with both miR-143 and miR-199a, the inhibition of cell invasion was less pronounced than when each miRNA was transfected individually. Interestingly, despite miR-199a-3p not impacting cell proliferation, it had the most significant inhibitory effect on cell invasion.

Fig. 6.

Fig. 6

The cell proliferation of K562 clones after downregulation of MSI2. Proliferation was decreased in K562 cells transfected with miR-143-3p or miR-143/199a precursors. However, overexpression of miR-199a-3p did not significantly impact on K562 cell proliferation. Error bars represent the mean ± SEM for three independent repeats (***p < 0.001, ****p < 0.0001). Scr: Scramble.

Fig. 7.

Fig. 7

The transwell invasion assay was performed on K562 clones following the downregulation of MSI2 by overexpressing miR-143-3p or miR-199a-3p, as well as a combination of both miRNAs. Downregulation of MSI2 via the overexpression of miR-143-3p or miR-199a-3p resulted in a reduction in the invasion of K562 cells. (A) K562 cells transfected with either scramble control or miRNA precursors were allowed to migrate through the Matrigel membrane, and the migrated cells were subsequently stained with crystal violet. (B) The total number of migrated cells through the Matrigel membrane was quantified for each Transwell insert. Error bars represent the mean ± SEM for three independent repeats (****p < 0.0001). Scr: Scramble.

Discussion

One of the characteristic features of various malignancies, including leukemogenesis, is the up- and down-regulation of oncogenes and tumor suppressor genes40. MSI2 is a well-known RNA-binding protein that plays critical roles in normal and malignant hematopoiesis. In fractionated blood cell populations, hematopoietic stem cells (HSCs) exhibit higher levels of MSI2 compared to progenitor cells, differentiated myeloid cells, and lymphocytes7. In leukemogenesis, the expression of MSI2 is increased, and its knockdown leads to a reduction in proliferation and an increase in apoptosis1,7,41. In several disorders and malignancies, increased expression of the MSI2 protein is associated with aberrant expression of certain miRNAs10,11,42. Therefore, we aimed to investigate whether a similar association exists between MSI2 and miRNAs in myeloid leukemia cell lines and, if so, which miRNAs could directly interact with MSI2 mRNA. According to in silico studies, we identified several miRNAs that potentially interact with MSI2 mRNA. A negative correlation between some miRNAs and MSI2 was observed by analyzing the expression patterns of predicted miRNAs in various malignant hematopoietic cells26,27. Among these, two well-known tumor suppressor miRNAs, miR-143-3p and miR-199a-3p, were identified. The tumor suppressor role of miR-199a-3p has been reported in hepatocellular carcinoma, NSCLC (lung cancer), ovarian cancer and glioma, where it decreases proliferation, migration, and invasion of cancer cells by targeting downstream genes of PAK4/Raf/MEK/ERK and PI3K-mTOR pathways43–46. Similarly, the tumor suppressor function of miR-143-3p has been validated in multiple cancer types including bladder cancer, esophageal squamous cell carcinoma, renal cell carcinoma and papillary thyroid carcinoma47–50. Both candidate miRNAs are also known as leukemia-associated miRNAs51,52.

In this study, we confirmed the direct interaction of miR-143-3p and miR-199a-3p with the 3ˊUTR region of MSI2 mRNA using a dual luciferase assay. The expression levels of MSI2 and both miRNAs were measured in four different cell lines using RT-qPCR: two CML cell lines (K562 and KCL-22) and two AML cell lines (KG-1α and HL-60). The analysis revealed that only K562 cells displayed the highest MSI2 expression level, along with simultaneously reduced levels of miR-143-3p and miR-199a-3p. Consequently, K562 cells were chosen for further analysis. Furthermore, overexpression of both miRNAs resulted in decreased expression levels of MSI2 in K562 cells at both the mRNA and protein levels. Previous studies have shown that MSI2 knockdown in K562 cells inhibits cell growth and induces cell cycle arrest by targeting p21, cyclin D1, as well as the ERK/MAPK and p38/MAPK pathways53. Additionally, miR-143 has been reported to reduce cell proliferation through various pathways, including PI3K/AKT and MAPK, in leukemia, bladder, and prostate cancers54,55. Interestingly, the MAPK pathway is reciprocally regulated by MSI2 and miR-143. In bladder cancer, both MSI2 and miR-143 target the oncogene KRAS, with MSI2 promoting cell proliferation by enhancing KRAS translation, while miR-143 downregulates both genes56. Consistent with these findings, our study demonstrated that overexpression of miR-143 resulted in MSI2 depletion, leading to reduced cell proliferation and viability in K562 cells. Surprisingly, overexpression of miR-199a did not impact the cell proliferation rate despite MSI2 depletion. Previous research on bladder cancer cells has shown that miR-199a-3p promotes cell proliferation and acts as an oncomiR by inhibiting the expression of ZHX157. Therefore, we hypothesize that the overexpression of miR-199a-3p in K562 cells may compensate for the reduction in MSI2-induced cell proliferation through a similar mechanism. After reducing MSI2 levels by overexpressing miR-143/199a in K562 cells, a significant decrease in cell invasiveness was observed. Surprisingly, the co-expression of miR-143/199a did not reduce cell invasion as effectively as the overexpression of a single miRNA. The anti-invasive role of miR-143 and miR-199a has been previously reported in various cancers such as hepatocellular carcinoma, breast and ovarian cancers58–60. In K562 cells, a myelogenous leukemia cell line, both miRNAs target MSI2 as a key gene in hematopoiesis. The data obtained suggest a greater inhibitory effect of both miR-143 and miR-199a on MSI2 expression and K562 cell invasion, as opposed to the effects of each miRNA alone, without significantly affecting cell proliferation. Overall, both miR-143-3p and miR-199a-3p could be considered tumor suppressor miRNAs in myelogenous leukemia. However, further investigations into the pathways, target genes affected by the inactivation of MSI2, and other potential target genes of the miRNAs could help clarify the exact mechanism of their anticancer effects and their potential application as effective molecular targets in leukemia treatment.

In conclusion, our study suggests that miR-143 and miR-199 could be potential biomarkers or therapeutic targets for leukemogenesis, as evidenced by their inverse correlation with MSI2 expression. However, the effects of these miRNAs on cell proliferation and invasion varied in K562 cells. Specifically, miR-143 significantly reduced both cell proliferation and invasion, whereas miR-199a only decreased cell invasion. It is important to note that the present study has certain limitations, including the need to identify other potential target genes of these miRNAs that could involved in their tumor-suppressive effects, as well as to identify and evaluate the direct target genes of MSI2 in key signaling pathways following miR-143 and miR-199 overexpression in K562 cells. Further investigation is required to uncover the downstream pathways responsible for the observed reduction in invasion and proliferation. On the other hand, the use of a single clone in our study is a limitation and future investigations should involve multiple CML and AML cell lines to better understand the anticancer properties of these miRNAs in leukemia. Furthermore, conducting comprehensive in vivo studies using clinical samples from myelogenous leukemia patients could provide valuable insights. These limitations underscore the importance of further research to validate our findings in more relevant CML and AML models and to elucidate the detailes of the signaling pathways involved in miRNA/MSI2 interactions.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (870.4KB, docx)

Acknowledgements

We acknowledge the assistance of Royan Institute for Biotechnology for its services and facilities.

Author contributions

Liana Lachinani: Conceptualization, Methodology, Investigation, Writing–review, Editing and Supervision. Rana Iranpour: Investigation, Visualization and Writing–original draft. Mahboobeh Forouzanfar: Conceptualization and Methodology. Mohammad Hossein Nasr-Esfahani: Funding acquisition and Supervision. Kianoush Dormiani: Methodology, Writing–review, Editing, Funding acquisition and Supervision.

Funding

This work was supported by a grant from Royan Institute (95000295).

Data availability

All data generated or analyzed during this study are included in this published article. The datasets analyzed during the current study are available in the Gene Expression Omnibus (GEO) repository (GSE51908 and GSE28825).

Declarations

Ethics approval and consent to participate

This study was approved by the Ethical Committee of Royan Institute (Approval ID: IR.ACECR.ROYAN.REC.1396.103. All methods were performed in accordance with the relevant guidelines and regulations.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Liana Lachinani and Rana Iranpour contributed equally to this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (870.4KB, docx)

Data Availability Statement

All data generated or analyzed during this study are included in this published article. The datasets analyzed during the current study are available in the Gene Expression Omnibus (GEO) repository (GSE51908 and GSE28825).


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