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Original Research

Exp. Biol. Med., 13 February 2024
Sec. Biochemistry and Molecular Biology
This article is part of the Issue Experimental Biology and Medicine Volume 249 Issue 1 View all 8 articles

miR-539-5p targets BMP2 to regulate Treg activation in B-cell acute lymphoblastic leukemia through TGF-β/Smads/MAPK

Qingkai Dai,&#x;Qingkai Dai1,2Rui Shi,&#x;Rui Shi1,2Ge Zhang,Ge Zhang1,2Yuefang Wang,Yuefang Wang1,2Lei Ye,Lei Ye1,2Luyun Peng,Luyun Peng1,2Siqi Guo,Siqi Guo1,2Jiajing He,Jiajing He1,2Hao Yang,Hao Yang1,2Yongmei Jiang,
Yongmei Jiang1,2*
  • 1Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
  • 2Key Laboratory of Obstetric and Gynecological and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, Sichuan, China

Abstract
MicroRNAs (mRNAs) were believed to play an important role in cancers, and this study aimed to explore the mechanism of miRNA regulating Treg in B-cell acute lymphoblastic leukemia (B-ALL). Firstly, the differentially expressed miRNAs and target genes significantly associated with Tregs were screened out by high-throughput sequencing, and their enrichment pathways were analyzed. The binding relationship between miRNA and target genes was further verified, and the effects of miRNA on the proliferation and apoptosis of B-ALL Nalm-6 cells and Treg activation were analyzed. Results showed that differentially expressed miR-539-5p was significantly under-expressed, and its target gene BMP2 was significantly over-expressed in B-ALL, and significantly enriched in the TGF-β1 pathway. In addition, both miR-539-5p and BMP2 were significantly correlated with Treg activity in B-ALL. In vitro experiments further confirmed that miR-539-5p could directly target BMP2. The low expression of miR-539-5p in B-ALL significantly promoted BMP2 expression to promote the proliferation and inhibit apoptosis of Nalm-6 cells. Furthermore, the high expression of BMP2 in B-ALL could cooperate with TGF-β1 to promote the activation of human CD4+CD25-T cells to Treg, and significantly activate the TGF-β/Smads/MAPK pathway. In vivo experiments also confirmed that overexpression of miR-539-5p significantly inhibited BMP2 to suppress Treg activation and Smad1 and Smad2 phosphorylation, and finally inhibit the B-ALL process. In conclusion, miR-539-5p was significantly under-expressed in B-ALL and could target BMP2 to promote its expression, and the overexpressed BMP2 further promoted Treg activation in B-ALL by regulating TGF-β/Smads/MAPK pathway.

Impact statement

Acute lymphoblastic leukemia (ALL) is a hematological malignancy characterized by abnormal proliferation of primary and juvenile lymphocytes in the bone marrow and peripheral blood. Exploring the pathogenesis of ALL is of great clinical significance for further improving the long-term survival rate and reducing the recurrence of ALL. Studies have shown that miRNA can be used for early clinical diagnosis and prognosis of tumors, and play an important role in ALL. In this study, high-throughput sequencing technology was used to screen the differentially expressed miRNAs of ALL, and the mechanism was explored based on the regulatory Treg. It was found that miR-539-5p was significantly under-expressed in ALL, and could target BMP2 to promote its expression. Overexpression of BMP2 further promoted the activation of Treg in ALL by regulating the TGF-β/Smads/MAPK pathway. The study can provide new ideas and methods for understanding the occurrence and development of ALL.

Introduction

Acute lymphoblastic leukemia (ALL) is one of the most common hematological malignancies in children, accounting for about 20% of pediatric cancers [1]. It is mainly divided into B-cell ALL (B-ALL) and T-cell ALL (T-ALL), among which B-ALL accounts for 85% and T-ALL accounts for 15% [2]. In recent years, the 5-year survival rate of ALL is relatively high, which can reach 90% [3]. However, 20% of ALL are still at risk for relapse, and treatment outcomes after relapse are unsatisfactory and are the leading cause of death in ALL [4]. With the rise of immunotherapy, immunotherapies targeting ALL antigen-associated monoclonal antibodies and chimeric antigen receptor T cells have been shown to be effective against ALL and can significantly improve the prognosis of patients with relapsed/refractory ALL [5]. In addition, miRNAs have been described as modulators of a large number of different immune processes and have the potential to be key to the future development of immunotherapy [6]. Similarly, it is currently believed that the most important factors affecting the recurrence of ALL are the genetic and molecular biological abnormalities in the course of the disease [7]. Some studies have helped to demonstrate that specific miRNA gene expression signatures are associated with specific B- or T-ALL subpopulations. Further exploring the involvement of miRNA genes in the disease process of B-ALL alone or in the network, and clarifying the relationship between specific miRNA and the pathogenesis of B-ALL, will have important clinical significance for reducing the recurrence of B-ALL.

ALL, as cancer affecting lymphoid blood cells, originates primarily from B or T lymphoid progenitor cells [8]. T lymphocytes are an important member of cellular immunity in the body, which can be further divided into CD4+ T and CD8+ T cells [9]. Abnormal expression of CD4+ and CD8+ T cells has been confirmed in previous studies of patients with solid tumors [10, 11]. Regulatory T cells (Treg) are the immunosuppressive T cell subsets of CD4+ T cells, which can inhibit the activation and proliferation of effector T cells and the functions of primary and memory T lymphocytes, and participate in the maintenance of autoimmune homeostasis [12, 13]. Studies have found that Treg can suppress the anti-cancer immune response through a variety of immune regulatory pathways, leading to cancer evasion from immune surveillance [14]. The abnormal number and function of Treg are involved in a variety of solid cancers and hematological malignancies, and are correlated with the prognosis of cancers, which has important clinical value for the evaluation and prognosis of patients [15]. Moreover, studies have shown that Treg cells in B-ALL patients have an important relationship with immune deficiency [16], and the differential expression levels and regulation of Treg may affect the diagnosis and treatment of B-ALL. However, the specific mechanism of regulating Treg in B-ALL remains unclear and needs further study.

Therefore, in this study, high-throughput sequencing was used to analyze the whole transcriptome in peripheral blood mononuclear cells (PBMCs) of B-ALL, and the differentially expressed miR-539-5p and its target gene bone morphogenetic protein 2 (BMP2) were screened to be involved in Treg regulation in B-ALL. In vitro and in vivo experiments further confirmed the regulatory effects and the possible mechanism of the miR-539-5p/BMP2 regulatory network on Treg in B-ALL.

Materials and methods

Clinical sample collection

The high-throughput sequencing samples were collected from five newly diagnosed B-ALL children at West China Second University Hospital of Sichuan University, and five healthy children who underwent physical examination in the outpatient department of our hospital were selected as the control. The blood routine and various indexes of children in control group showed normal, with no previous history of hematological malignancy or family history. And there was no statistical difference in age or gender between the two groups. In addition, 46 B-ALL children and 42 healthy children matched by age and sex were included for follow-up study. The diagnostic criteria for B-ALL refer to Chinese Children Cancer Group (CCCG) ALL 2015 protocol (CCCG-ALL-2015). This study was approved by the Ethics Committee of West China Second University Hospital of Sichuan University, and all patients and their families agreed and signed informed consent.

Isolation of PBMCs

Freshly 2 mL EDTA anticoagulated whole blood from B-ALL patients and healthy children were mixed with 2 mL PBS, and then slowly added to 3 mL of Ficoll-Paque density gradient media (cat. no. 17-5442-02; GE, United States). Centrifugation at room temperature at 400 g for 30 min, the top layer of plasma was removed, and the middle layer was washed with 3-fold volume of PBS. After centrifugation at 400 g for 10 min, the supernatant was discarded and the precipitation was PBMCs for subsequent study.

Transcriptome sequencing analysis

Total RNA was extracted from PBMCs [1719] by Trizol (cat. no. 15596026; Invitrogen, United States), and the integrity and concentration of RNA were examined using Agilent 2100 Bioanalyzer (Agilent, United States). The TruSeg Small RNA Sample Prep kit (cat. no. RS-200-0012; Illumina, United States) was used to obtain cDNA. The cDNA library was further constructed and enriched, and sequencing was performed on the Illumina platform. The original sequencing data were de-spliced and the quality-filtered sequences were de-processed. According to the human genome annotation, the abundance of the de-duplicated sequences was annotated. The characteristics and expression levels of miRNAs in PBMCs of B-ALL and controls were statistically analyzed. And DESeq software of R language (version 4.3.0) was used to analyze the differentially expressed miRNA and mRNA, while p < 0.05 and |log2FoldChange| >1.0 were defined as significantly differentially expressed mRNA or miRNA. Further, R language was used to cluster the differentially expressed miRNAs, predict the target genes, and perform functional enrichment analysis of the predicted target genes, including gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis.

Cell culture and transfection

Human B lymphoid leukemia cells Nalm-6 and human embryonic kidney cells H293-T were both purchased from Procell (Wuhan, China). H293-T cells were cultured in DMEM (Hyclone, United States) containing 10% FBS (CLARK BIOSCIENCE, United States) and 1% P/S (Hyclone, United States) and were used for double luciferase reporter assay. Nalm-6 cells were cultured in RPMI-1640 medium (Hyclone, United States) to analyze the role of miR-539-5p/BMP2 in the induction of Treg by Nalm-6 cells. Negative control-siRNA (NC-siRNA), siRNA targeting BMP2 (BMP2-siRNA), NC of pcDNA plasmid (pcDNA-NC), pc-DNA plasmid containing BMP2 sequence (pcDNA-BMP2), NC-mimic and miR-539-5p-mimic (all synthesized or purchased from Guangzhou Ribobio, China) were transfected into Nalm-6 cell by Lipofectamine 2000 (Beyotime, China).

Double luciferase reporter assay

The binding sites of miR-539-5p and BMP2 were predicted by online software Targetscan1, and the BMP2 wild-type (BMP2-WT) and mutant sequence (BMP2-Mut) were constructed and cloned into the dual luciferase reporter pmirGLO-UTR vector. H293-T cells were co-transfected with the reporter plasmid and NC-mimic or miR-539-5p-mimic for 48 h by Lipofectamine 2000. Firefly luciferase and renilla luciferase values were determined and luciferase activity was calculated using the dual luciferase reporter kit (Promega Corporation, United States).

Cell activity analysis

The proliferation activity of Nalm-6 cells was analyzed by Cell Counting Kit-8 (CCK8). After different treatments, Nalm-6 cells were incubated with 10 μL CCK8 detection reagent (cat. no. C0037; Beyotime, China) for 1 h. The absorbance was measured at 450 nm and the cell viability was calculated.

Apoptosis detection

Apoptosis was detected by Annexin V-FITC/PI double staining. Nalm-6 cells with different transfection were collected, resuspended with 500 μL Binding Buffer, stained with 5 μL Annexin V-FITC, and 5 μL PI (cat. no. C1062S; Beyotime, China) for 15 min at room temperature under darkness, and then analyzed by flow cytometer (BD FACSCanto, United States).

Sorting of CD4+CD25-T cells in PBMCs

The human CD4 T lymphocyte enrichment kit (cat. no. 557939; BD, United States) was used to enrich CD4+T cells in PBMCs of normal healthy subjects according to the manufacture instructions. Then, the number of enriched CD4+T lymphocytes was counted and washed by 1×BD IMag buffer (cat. no. 552362; BD, United States), and the BD IMag anti-human CD25 magnetic particle-DM (cat. no. 558005; BD, United States) was added to incubate for 30 min at room temperature. After bringing the BD IMag-particle labeling volumes up to 1–8 × 107 cells/mL with 1 × BD IMag buffer, the tubes were immediately placed on a cell separation magnet (cat. no. 552311; BD, United States) to incubate at room temperature for 9 min. Finally, carefully aspirate the supernatant, which contains the negative fraction (CD4+CD25-T cells).

Treg induction in vitro

Primary peripheral blood CD4+CD25-T cells were cultured in the RPMI-1640 medium containing anti-CD3 (5 μg/mL), anti-CD28 (5 μg/mL), IL-2 (100 U/mL) and retinoic acid (10 nM) at 37°C and 5% CO2 for 5 days for routine Treg induction. To analyze the role of miR-539-5p in Nalm-6 cell-induced Treg activation, subsequent experiments were divided into eight groups: control group, Nalm-6 cell supernatant group (NC), miR-539-5p-mimic transfected cell supernatant group (miR-539-5p-mimic), BMP2-siRNA transfected cell supernatant group (BMP2-siRNA), TGF-β1 positive control group (TGF-β1), TGF-β1+NC, TGF-β1+miR-539-5p-mimic, TGF-β1+BMP2-siRNA. The control group was treated by the routine induction method. Groups containing TGF-β1 were supplemented with 10 ng/mL TGF-β1. The NC, miR-539-5p-mimic and BMP2-siRNA groups were added with the culture supernatant of Nalm-6 cells transfected with NC, miR-539-5p-mimic and BMP2-siRNA at 1:1, respectively.

Treg cell ratio analysis

The proportion of Treg in peripheral blood of B-ALL patients was characterized by CD3+CD4+CD25+CD127- in this study. Briefly, 5 μL fluorescein-labeled monoclonal antibodies FITC-CD3 (cat. no. 11-0037-42; Invitrogen, United States), PerCP-Cy5.5-CD4 (cat. no. 45-0049-42; Invitrogen), PE-CD25 (cat. no. 12-0259-80; Invitrogen) and APC-CD127 (cat. no. 17-1278-42; Invitrogen) were added to 100 μL anticoagulant blood samples, and incubated at room temperature for 30 min away from light. Then, 2,000 μL of FACS Lysing Solution (BD, United States) was added and incubated at room temperature and away from light for 10 min. After washing and suspension with PBS, flow cytometer was used for detection. In addition, the proportion of Foxp3+ Treg in CD4+CD25-T cells after induction was also measured. The cells with different treatments were incubated with 5 μL FITC-labeled CD4 antibody (cat. no. 11-0041-82; Invitrogen) and APC-CD25 antibody (cat. no. MA5-16224; Invitrogen) at 4°C for 30 min. After washing with PBS, the membrane-breaking fixative was incubated at 4°C for 1 h. Then, 5 μL PE-Foxp3 antibody (cat. no. 12-4774-42; Invitrogen) was incubated at 4°C for 1 h. The proportion of Foxp3+Treg cells was detected by flow cytometer.

Proliferation activity of CD4+CD25-T cells

The isolated CD4+CD25-T cells were induced at 37°C and 5% CO2 for 5 days according to different groups. After centrifugation, the cells were incubated at 37°C for 20 min with 2 μM carboxyfluorescein succinimidyl ester (CFSE) staining solution (cat. no. C0051; Beyotime, China), neutralized and washed twice with RPMI-1640 containing FBS. CFSE was detected by flow cytometry, and the proliferation rate was calculated.

Animals experimental design

Eighteen NOD/SCID mice, weighing 18–20 g and aged 4–5 weeks, were purchased from Chengdu Dossy experimental animals Co., LTD. [animal license number: SYXK (chuan) 2019-189]. Animal experiments were approved by the Ethics Committee of West China Hospital of Sichuan University. The mice were randomly divided into three groups: control group, NC-mimic group and miR-539-5p-mimic group. Nalm-6 cells in the logarithmic growth phase were selected, and NOD/SCID mice were injected with 5 × 106 Nalm-6 cells, NC-mimic or miR-539-5p-mimic transfected Nalm-6 cells via tail vein, respectively.

Wright-Giemsa staining

After the bone marrow of mice was taken for smear, 2–3 drops of Wraith-Giemsa dye solution (cat. no. CR2012035; Servicebio, China) was added to dye for 2 min, then the same amount of 0.01 M phosphate buffer (pH6.4–6.8) was stained for 5 min. The morphological changes were observed by a digital slice scanner (Pannoramic 250, 3DHISTECH, Hungary).

ELISA detection

The expressions of BMP2, IL-10, IL-35, TGF-β1 and TGF-β2 in human/mouse serum and cells were detected by the corresponding ELISA kit (Beyotime, China), each sample was repeated at least three times.

Real-time quantitative polymerase chain reaction (RT-PCR)

Firstly, total RNA was extracted by Trizol reagent. For miRNA detection, the total RNA was reversed into cDNA by Bulge-LoopTM miRNA qRT-PCR Primer (cat. no. R10031.7; Ribobio, China), and Bulge-Loop miRNA qRT-PCR Starter Kit (cat. no. R11067.2; Ribobio) was used for PCR reaction with 20 µL reaction system. For mRNA detection, the cDNA was obtained by Prime Script RT reagent Kit (cat. no. RR047A; Takara, Japan). Then TB Green Premix Ex Taq Ⅱ (cat. no. RR820A; Takara) was used for PCR reaction. The relative expression levels were calculated using 2−△△CT methods. U6 was used as the internal reference for miRNA expression [20], and β-actin was used for mRNA. The primer sequences were shown in Table 1.

Table 1
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Table 1. The primer sequences used in the study.

Western blot analysis

Total protein was extracted using protein lysate (cat. no. P0013; Beyotime, China), and quantified by BCA protein kit (cat. no. P0009; Beyotime). After denaturation, the total protein was separated by SDS-PAGE and transferred to the PVDF membrane (cat. no. ISEQ00010; Sigma-Aldrich, United States). The PVDF membranes were blocked with 5% skim milk for 2 h, then incubated with the corresponding primary antibody at 4°C overnight, and the secondary antibody at room temperature for 2 h for immune response. The protein was visualized by ECL luminescent solution (cat. no. KF001; Affinity, United States) through the chemiluminescence gel imager (Tanon, China). The primary antibodies BMP2 (cat. no. AF5163), PCAN (cat. no. DF10168), p38 (cat. no. AF6456) and p-p38 (cat. no. AF4001) were purchased from Affinity (United States); Bax (cat. no. ab32503), Bcl-2 (cat. no. ab182858), FOXP3 (cat. no. ab215206), Smad1 (cat. no. ab33902), p-Smad1 (cat. no. ab226821), Smad2 (cat. no. ab33875) and p-Smad2 (cat. no. ab188334) were purchased from Abcam (United Kingdom); ERK1/2 (cat. no. 11257-1-AP), JNK1/2 (cat. no. 66210-1-lg) and p-JNK1/2 (cat. no. 80024-1-RR) were purchased from Proteintech (United States); p-ERK1/2 (cat. no. AP0472) and β-actin (cat. no. AC026); were purchased from abclonal (China). Biotinylated goat anti-rabbit IgG (H+L) (cat. no. ab6721) and goat anti-mouse IgG (H+L) (cat. no. ab6789) were purchased from Abcam (United Kingdom).

Statistical analysis

All statistical results were analyzed using SPSS version 29.0 software package (IBM Corp., Armonk, NY United States). The Shapiro-Wilk test was used to check whether the data conform to the normal distribution. The data conforming to the normal distribution were expressed as mean ± standard deviation. And the difference between the two groups was analyzed by student's t-test, and the difference among multiple groups was analyzed by one-way analysis of variance. p < 0.05 was considered statistically significant.

Results

Transcriptome sequencing of PBMCs in B-ALL

The expression characteristics of mRNA and miRNA in PBMCs were analyzed by microarray sequencing. In this study, five samples from the B-ALL and control groups were used for transcriptome mRNA expression analysis. Since only three samples in the B-ALL group were eligible for miRNA analysis, there were three cases in the B-ALL group and five cases in the control group in miRNA analysis. A total of 1,666 miRNA and 17,453 mRNA were obtained in this study. The results of the differential statistics were represented by volcanic maps (Figures 1A, B). Compared with the control group, there were 2,623 differentially expressed mRNAs in the B-ALL group, 1,385 mRNAs were significantly up-regulated and 1,238 were significantly down-regulated (Figure 1A). There were 239 differentially expressed miRNAs, 107 were significantly up-regulated and 132 were significantly down-regulated (Figure 1B). A total of 239 differentially expressed miRNAs were predicted to have a total of 18,319 target genes corresponding to 38,188 target sites. Bidirectional cluster analysis of the differential genes and samples showed that the mRNA and miRNA expression clusters of B-ALL were significantly different from those of the control group (Figures 1C, D). The statistics of the top 10 differentially up-regulated and down-regulated miRNAs and mRNA were shown in Figure 1E.

Figure 1
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Figure 1. High-throughput sequencing was used to screen differentially expressed genes between B-ALL and controls. (A) Volcano map of differentially expressed mRNAs. (B) Volcano map of differentially expressed miRNAs. Red dots indicate upregulated genes, blue dots indicate downregulated genes. (C) Cluster analysis of differentially expressed mRNAs. (D) Cluster analysis of differentially expressed miRNAs. Horizontal represents genes, and each column is a sample. Red indicates high expression and green indicates low expression. (E) The top 10 differentially up-regulated and down-regulated miRNAs and mRNAs. (F) Bar chart of GO enrichment analysis of differentially expressed miRNAs. (G) Bar graph of KEGG pathway enrichment analysis of differentially expressed miRNAs. GO: gene ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes.

To further clarify the functions of differentially expressed genes, we conducted an enrichment analysis. The GO enrichment analysis results of differentially expressed miRNA target genes showed that they were mainly enriched in intracellular, cytoplasm, organelle, binding, protein binding, and anatomical structure development, these differentially expressed target genes may play an important role in regulating cell development (Figure 1F). KEGG pathways enrichment were shown in Figure 1G. The results suggest that differentially expressed miRNA target genes had significant differences in regulating cell proliferation, survival and apoptosis, including the TGF-beta signaling pathway, Rap1 signaling pathway, cAMP signaling pathway and MAPK signaling pathway. MiRNAs regulating these pathways may be involved in the abnormal proliferation of B lymphocytes in ALL (Table 2). Among them, the TGF-β signaling pathway has the highest enrichment factor and also has significant differences (p < 0.05, Table 2). The involved differentially expressed miRNAs and differentially expressed target genes were analyzed, and miR-539-5p and BMP2 were preliminarily screened (Table 2).

Table 2
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Table 2. miRNAs and their target genes in KEGG enrichment pathways related to cell proliferation and activation.

miR-539-5p/BMP2 was associated with Treg activation in B-ALL

To verify the accuracy of the sequencing data, blood samples were collected from 20 B-ALL patients and 15 controls. The miRNAs with significant expression differences were selected from the sequencing data, among which miR-548ba, miR-1266-5p, miR-466, miR-551a and miR-4484 were the top five miRNAs with up-regulated multiples, miR-539-5p, miR-1-3p, miR-133a-3p, miR-6718-5p, miR-11401 and miR-1250-5p were the top 6 miRNAs that found to be down-regulated, and the results of sequencing data were verified by RT-PCR. As shown in Figure 2A, the RT-PCR results were consistent with the sequencing results (p < 0.001). In addition, in order to study the relationship between the differential expression of miRNA and the proportion of Treg in peripheral blood of children with B-ALL, we divided B-ALL children into low expression group and high expression group with the median expression of each differentially expressed miRNA as the critical value, and analyzed whether there was a difference in the proportion of Treg between the low expression group and the high expression group. The results showed that there was no statistical significance in the proportion of Treg between miR-548ba (median: 3.03), miR-1266-5p (median: 1.53), miR-466 (median: 1.81), miR-4484 (median: 2.10), miR-1-3p (median: 0.73), miR-133a-3p (median: 0.68), miR-6718-5p (median: 0.71), miR-11401 (median: 0.59), and miR-1250-5p (median: 0.46) low expression group and high expression group (p > 0.05, Figure 2B). Only miR-551a (median: 2.07) and miR-539-5p (median: 0.67) had significant differences in the proportion of Treg cells between the low and high expression groups (p < 0.01, Figure 2B). Therefore, we further identified miR-539-5p as the object of follow-up research. Then, the expressions of TGF-β1, TGF-β2, IL-35 and IL-10 in the serum of B-ALL were analyzed by ELISA, which showed that TGF-β1, IL-35 and IL-10 were significantly increased in the B-ALL group (p < 0.01, Figure 2C). The proportion of Treg was significantly higher in the B-ALL group than that in the control group (p < 0.05, Figures 2D, E). Correlation analysis showed that the proportion of Treg was significantly negatively correlated with the expression of miR-539-5p (Figure 2F). In addition, the expression of BMP2 in serum was analyzed by ELISA, which showed that the level of BMP2 in the B-ALL group was significantly higher than that in the control group (p < 0.001, Figure 2G), and the proportion of Treg was significantly positively correlated with the expression of BMP2 (p < 0.05, Figure 2H). RT-PCR results also showed that the gene expression of BMP2 in the B-ALL group was significantly higher than that in the control group (p < 0.001, Figure 2I), and it was significantly negatively correlated with the gene expression of miR-539-5p (p < 0.05, Figure 2J). These results indicated that miR-539-5p could significantly regulate the gene expression and secretion of BMP2 to participate in Treg activation in B-ALL.

Figure 2
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Figure 2. Expression of miR-539-5p/BMP2 in B-ALL and its relationship with Treg activation. (A) RT-PCR was used to verify the differential expressed miRNAs in more clinical samples. (B) With the median of differentially expressed miRNA expression as the critical value, B-ALL children were divided into low expression group and high expression group, and the proportion of Treg was analyzed. (C) The expressions of TGF-β1, TGF-β2, IL-35 and IL-10 in serum were detected by ELISA. (D) The proportion of Treg in peripheral blood was detected by flow cytometry. (E) Statistical bar graph of flow cytometry. (F) Correlation between miR-539-5p expression level and Treg ratio in B-ALL. (G) Serum BMP2 content was detected by ELISA. (H) Correlation between BMP2 concentration and Treg ratio in B-ALL. (I) The gene expression of BMP2 was detected by RT-PCR. (J) Correlation between expression levels of miR-539-5p and BMP2 in B-ALL. *p < 0.05, **p < 0.01, ***p < 0.001.

miR-539-5p directly targets BMP2

To further clarify whether there is a clear targeting relationship between miR-539-5p and BMP2, TargetScan was used to analyze the possible binding sites between miR-539-5p and BMP2 3′UTR. The result was shown in Figure 3A. After transfecting H293T cells with a 5 pmol NC mimic or miR-539-5p mimic, the gene expression of miR-539-5p was detected by RT-PCR, and results showed that miR-539-5p expression in the miR-539-5p mimic group was significantly increased compared with that of the NC mimic group (p < 0.01, Figure 3B). Then, the relationship between miR-539-5p and BMP2 was verified by double luciferase reporter assay (Figure 3C). The results showed that there was no significant difference in luciferase activity between NC-mimic+BMP2-Mut and miR-539-5p-mimic+BMP2-Mut groups (p > 0.05), while the luciferase activity was significantly decreased in the miR-539-5p-mimic+BMP2-WT group compared with NC-mimic+BMP2-WT group (p < 0.001), indicating that miR-539-5p directly targeted the 3′UTR region of BMP2, thereby affecting BMP2 gene expression.

Figure 3
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Figure 3. Binding relationship between miR-539-5p and BMP2. (A) The predicted binding site of miR-539-5p and BMP2 3′UTR. (B) RT-PCR was used to detect the gene expression of miR-539-5p after transfecting NC mimic or mir-539-5p mimic. (C) Double luciferase reporter assay to verify the binding relationship between miR-539-5p and BMP2. *p < 0.05, **p < 0.01, ***p < 0.001.

Effects of miR-539-5p/BMP2 on proliferation and apoptosis of Nalm-6 cells

To clarify the role of the downstream target gene BMP2 in B-ALL cells, BMP2-siRNA and pcDNA-BMP2 were constructed to transfect Nalm-6 cells. The transfection efficiency analysis by WB showed that the protein expression of BMP2 was significantly reduced in the BMP2-siRNA group compared with the NC-siRNA, and was significantly increased in the pcDNA-BMP2 group compared with the pcDNA-NC group (p < 0.001, Figure 4A). In addition, compared with NC-siRNA or pcDNA-NC group, the BMP2-siRNA group significantly inhibited cell proliferation activity (p < 0.05, Figure 4B), promoted cell apoptosis (p < 0.001, Figures 4C, D), increased the protein expression of Bax, and decreased the protein expression of Bcl-2 and PCN2 (p < 0.05, Figures 4E, F), while pcDNA-BMP2 group showed the opposite effect (Figures 4B–F). These results suggested that BMP2, as the downstream target gene of miR-539-5p, could significantly promote cell viability and inhibit apoptosis in Nalm-6 cells.

Figure 4
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Figure 4. Effects of miR-539-5p downstream gene BMP2 on proliferation and apoptosis of Nalm-6 cells. (A) After transfection with BMP2-siRNA or pcDNA-BMP2, the protein expression of BMP2 was detected by WB to verify the transfection efficiency. (B) CCK8 was used to detect the viability of Nalm-6 cells after intervention or overexpression of BMP2. (C) The apoptosis of Nalm-6 cells was detected by flow cytometry. (D) Histogram of percentage of apoptotic cells. (E) The protein expressions of Bax, Bcl-2 and PCAN were detected by WB. (F) Histogram of gray level analysis of protein bands. *p < 0.05, **p < 0.01, ***p < 0.001.

On this basis, we further analyzed the effects of miR-539-5p regulation of BMP2 on the proliferation and apoptosis of Nalm-6 cells. MiR-539-5p mimic and/or pcDNA-BMP2 were used to co-transfect Nalm-6 cells, and RT-PCR analysis showed that compared with the NC-mimic group, miR-539-5p-mimic significantly increased the gene expression of miR-539-5p (p < 0.05, Figure 5A). In addition, the expression analysis of BMP2 by RT-PCR and WB showed that miR-539-5p-mimic significantly decreased the gene and protein expressions of BMP2 compared with the NC-mimic group (p < 0.05, Figures 5B, C). And compared with the miR-539-5p-mimic+pcDNA-NC group, miR-539-5p-mimic+pcDNA-BMP2 significantly decreased the gene expression of miR-539-5p (p < 0.05, Figure 5A), and promoted the gene and protein expression of BMP2 (p < 0.05, Figures 5B, C). Analysis of the proliferation and apoptosis activity of Nalm-6 cells showed that miR-539-5p-mimic significantly decreased the cell viability (p < 0.05, Figure 5D), promoted apoptosis (p < 0.001, Figures 5E, F), increased the protein expression of Bax, and decreased the protein expression of Bcl-2 and PCN2 compared with NC mimic group (p < 0.05, Figures 5G, H). Compared with the miR-539-5p-mimic+pcDNA-NC group, miR-539-5p-mimic+pcDNA-BMP2 significantly reversed the effects of miR-539-5p-mimic on Nalm-6 cells. These results suggested that miR-539-5p might inhibit Nalm-6 cell proliferation and promote apoptosis by targeting BMP2.

Figure 5
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Figure 5. Effects of miR-539-5p/BMP2 regulatory axis on proliferation and apoptosis of Nalm-6 cells. After transfection of Nalm-6 cells with miR-539-5p-mimic and/or pcDNA-BMP2, the gene expression of miR-539-5p (A) and BMP2 (B) was detected by RT-PCR. (C) The protein expression of BMP2 was detected by WB. (D) CCK8 was used to detect the viability of Nalm-6 cells. (E) The apoptosis of Nalm-6 cells was detected by flow cytometry. (F) Histogram of percentage of apoptotic cells. (G) The protein expressions of Bax, Bcl-2 and PCAN were detected by WB. (H) Histogram of gray level analysis of protein bands. *p < 0.05, **p < 0.01, ***p < 0.001.

Nalm-6 cell synergies with TGF-β1 to promote Treg activation through TGF-β1/Smads/MAPK pathways

To explore the effects of Nalm-6 cells on Treg activation, the culture supernatant of Nalm-6 cells was collected and incubated with human peripheral blood CD4+CD25-T cell induction medium at a ratio of 1:1 to stimulate Treg differentiation. The results showed that in the absence of TGF-β1 stimulation, the culture supernatant of Nalm-6 cells treated with different treatments could not directly induce the expression of Foxp3 in CD4+CD25-T cells (p > 0.05, Figures 6A–D). Compared with the control group, TGF-β1 significantly induced the Foxp3+ proportion (Figures 6A, B) and Foxp3 expression (Figures 6C, D) in CD4+CD25-T cells (p < 0.001), and also increased the mRNA expression levels of cytokines TGF-β1, IL-10 and IL-35 (p < 0.01, Figure 6E). When simultaneously stimulated with TGF-β1, the culture supernatant of Nalm-6 cells could further enhance the promoting effects of TGF-β1, showing a synergistic effect with TGF-β1 (p < 0.001, Figures 6A–D). In addition, the supernatant of miR-539-5p-mimic and BMP2-siRNA transfected cells attenuated the synergistic effect between the Nalm-6 cell supernatant and TGF-β1 (p < 0.001, Figures 6A–D). Similarly, in cell proliferation experiments, we also found that the culture supernatant of Nalm-6 cells in each group could promote the proliferation of CD4+CD25-T cells induced by TGF-β1, showing a synergistic effect with TGF-β1 (p < 0.001, Figures 6F, G). However, after transfected with miR-539-5p-mimic or BMP2-siRNA, the synergistic effect between the Nalm-6 cells and TGF-β1 decreased (p < 0.001, Figures 6F, G). These experiments indicated that Nalm-6 cells could cooperate with TGF-β1 to stimulate CD4+CD25-T cells to differentiate into Foxp3+Treg cells, which might be achieved by inhibiting miR-539-5p to promote BMP2 secretion.

Figure 6
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Figure 6. Effects of miR-539-5p/BMP2 in Treg activation induced by Nalm-6 cells. (A) The effect of different induction methods on the proportion of Foxp3+ was detected by flow cytometry. (B) Statistical results of Foxp3+ cell percentage. (C) The effect of different induction methods on Foxp3 protein expression was detected by WB. (D) Foxp3 gene expression was detected by RT-PCR. (E) The effects of different induction methods on the gene expressions of TGF-β1, IL-10 and IL-35 were detected by RT-PCR. (F) The proliferation activity was analyzed by CFSE. (G) Statistical results of CFSE proliferation rate. *p < 0.05, **p < 0.01, ***p < 0.001.

In order to further clarify the downstream signaling pathway involved in Nalm-6 cells synergism with TGF-β1, the protein expressions of TGF-β/Smads/MAPK pathway in different treatment groups were detected (Figure 7). The results showed that compared with the control group, the supernatant of Nalm-6 cells alone could not promote the phosphorylation of Smad1, Smad2, ERK1/2, JNK and p38 in CD4+CD25-T cells (p > 0.05). TGF-β1 could significantly promote the phosphorylation of Smad1, Smad2, ERK1/2, JNK and p38 (p < 0.05). The induction and pro-phosphorylation effects were strongest when the supernatant of Nalm-6 cells was co-treated with TGF-β1 (p < 0.05). However, when TGF-β1 was treated with miR-539-5p-mimic and BMP2-siRNA supernatant, the induction and pro-phosphorylation effects were decreased, but still higher than those of the control group (p < 0.001). In conclusion, Nalm-6 cells and TGF-β1 cooperatively regulate TGF-β/Smads/MAPK pathways to promote Treg activation.

Figure 7
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Figure 7. Effects of miR-539-5p/BMP2 on TGF-β/Smads/MAPK pathway in Treg induced by Nalm-6 cells. (A) The protein expressions of Smad1, p-Smad1, Smad2, p-Smad2, ERK1/2, p-ERK1/2, JNK1/2, p-JNK1/2, p38 and p-p38 were detected by WB. (B) Histogram of gray level analysis of protein bands. *p < 0.05, **p < 0.01, ***p < 0.001.

Effects of miR-539-5p/BMP2 on Treg induction in B-ALL mice

We further used Nalm-6 cells to construct the B-ALL model in NOD/SCID mice, and explored the effect of miR-539-5p/BMP2 on Treg activation in vivo. Firstly, analysis of the expression levels of miR-539-5p and BMP2 in PBMCs showed that in the miR-539-5p-mimic group, the mRNA expression level of miR-539-5p was significantly increased (p < 0.001, Figure 8A), and the level of BMP2 was significantly decreased (p < 0.001, Figure 8B). Overexpression of miR-539-5p also inhibited BMP2 levels in mice. Then, the Wraith-Giemsa staining results of mouse bone marrow tissues were shown in Figures 8A, C large number of abnormal lymphocytes were observed in the control and NC-mimic groups, with large volume, dysregulated nucleo-plasmic ratio, basophilic cytoplasm, and large and hyperchromatic nuclei. In the miR-539-5p-mimic group, no obvious abnormalities were observed in all types of cells under the microscope. Furthermore, analysis of the proportions of CD4+CD25+Foxp3+Treg showed that the proportions of CD4+, CD25+ and CD4+CD25+Foxp3+ in the bone marrow and peripheral blood of the miR-539-5p-mimic group were significantly lower than those of the NC-mimic group (p < 0.001, Figure 8D). ELISA assay of serum cytokine levels showed that the levels of IL-35 and IL-10 in miR-539-5p-mimic were significantly lower than those in the NC-mimic group (p < 0.001), but there was no significant difference in TGF-β1 and TGF-β2 among all groups (p > 0.05, Figure 8E). WB assay showed that miR-539-5p-mimic reduced the levels of BMP2, Foxp3 and p-Smad2/Smad2 (p < 0.05, Figure 8F). In vivo experiments confirmed that miR-539-5p-mimic could inhibit BMP2 secretion and Treg differentiation in B-ALL model mice.

Figure 8
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Figure 8. Effects of miR-539-5p/BMP2 on B-ALL mice in vivo. (A) RT-PCR was used to detect the expression of miR-539-5p in mouse PBMCs. (B) The content of BMP2 in plasma was detected by ELISA. (C) The cytopathic changes in bone marrow smears were observed by Wright-Giemsa staining. (D) The proportion of CD4+CD25+Foxp3+Treg cells in the bone marrow and peripheral blood was detected by flow cytometry. (E) The expression of TGF-β1, TGF-β2, IL-35 and IL-10 in plasma was detected by ELISA. (F) The protein expressions of BMP2, FOXP3, Smad1, p-Smad1, Smad2 and p-Smad2 in bone marrow were detected by WB. *p < 0.05, **p < 0.01, ***p < 0.001.

Discussion

As an important regulatory factor of genes, miRNAs participate in physiological and pathological processes in vivo, and their abnormal expression is closely related to cancers [21]. In recent years, a large number of studies have confirmed that miRNA can directly participate in the cancer process [22], and can be used for the early clinical diagnosis, prognosis evaluation, chemotherapy drug resistance evaluation and toxicity prediction of cancers [23, 24]. Similarly, miRNAs can directly participate in ALL as proto-oncogenes or tumor suppressor genes [25], and may become an effective indicator related to B-ALL. In this study, the significantly low expression of miR-539-5p and its target gene BMP2 in B-ALL were screened out by high-throughput sequencing. Functional enrichment analysis showed that the main enrichment pathway involved the TGF-β pathway. Further analysis showed that miR-539-5p and BMP2 were significantly correlated with the proportion of Treg in B-ALL. In vitro and in vivo experiments confirmed that the low expression of miR-539-5p in B-ALL could directly target and promote BMP2 expression, and the increased BMP2 could further promote the proliferation and inhibit apoptosis of Nalm-6 cells, and cooperate with TGF-β1 to stimulate the differentiation of human CD4+CD25-T cells into Treg. TGF-β1/Smads/MAPK pathway played an important role in the regulation of Treg activation by miR-539-5p/BMP2.

MiRNA is a class of endogenous non-coding single-stranded small RNA, which is involved in the regulation of post-transcriptional gene expression by specifically binding to the target genes [26, 27]. MiR-539 has been confirmed as a suppressor factor in cancers, and plays an inhibitory role in a variety of cancers, including breast cancer [28], osteosarcoma [29], and pancreatic cancer [30]. However, there are no relevant research reports on miRNA-539-5p in B-ALL at present. Our study confirmed that the expression of miR-539-5p was significantly decreased in B-ALL, which may play a role in cancer suppression. There was a targeting site between miR-539-5p and BMP2, and miR-539-5p could negatively target the expression of BMP2 in B-ALL. BMP is a key regulator of various developmental stages and plays an important role in biological processes [31]. Studies have shown that BMP2 has a dual effect on tumorigenesis, which may promote [3234] or inhibit [35] cancer progression. This study confirmed that BMP2 was significantly increased in B-ALL, and the high expression of BMP2 promoted the proliferation and inhibited the apoptosis of Nalm-6 cells, significantly decreased the expression of Bax, and increased the expression of Bcl-2 and PCNA. Bax is a regulator of Bcl-2 activity, both Bcl-2 and Bax play an important role in cell apoptosis [36, 37], and Bcl-2 is increased in most cancers, while Bax is decreased [38]. PCNA is a protein expressed in a specific phase of the cell cycle and is generally considered to be positively correlated with cancer cell proliferation [39]. In this study, further experiments suggested that miR-539-5p could regulate the proliferation and apoptosis of B-ALL cells by targeting BMP2.

BMP has been shown to promote T cell activation, and regulate the proliferative response of naive CD4+T cells [40]. When BMP signaling is inhibited, it leads to impaired maturation, differentiation and function of Foxp3+ Treg [41]. Similarly, miRNA has also been shown to inhibit the function of immune cells and promote immune escape by regulating the proliferation and differentiation of immune cells, and the secretion of effectors in the tumor microenvironment [42]. The analysis of this study showed that the significantly low expression of miR-539-5p and its target gene BMP2 in B-ALL were both significantly correlated with the percentage of Treg in B-ALL. Treg cells, a subset of T cells, play a critical role in maintaining the homeostasis of the immune system [43]. In the tumor microenvironment, Treg can inhibit anti-tumor immune response and promote tumor immune escape, thus affecting the development of tumors [44]. The inhibitory adaptive immune response induced by Treg is mediated through the expression of TGF-β1 [45]. The inhibition ability of Treg induced by BMP2 and TGF-β1 is stronger than that induced by TGF-β1 alone [46]. In this study, we found that the culture supernatant of Nalm-6 cells could cooperate with TGF-β1 to promote the proportion of Foxp3+Treg and increase the expression of Foxp3 in CD4+CD25-T cells. Transfection with miR-539-5p-mimic and BMP2-siRNA attenuated the synergistic effect of Nalm-6 cells and TGF-β1 on Foxp3 promotion. Studies have confirmed that Foxp3+Treg could be used as a therapeutic target to promote anti-tumor immunity [47]. Once Foxp3+Treg loses its transcription factor Foxp3, it will lose immunomodulatory function [48]. A recent relevant study recorded a slight insignificant increase in Treg cells in children with ALL compared to controls, and the increase in Treg appeared to occur due to a decrease in miR-155 [49]. A large number of studies have confirmed that miRNAs play an important role in the alteration of Treg in B-ALL [50]. Our study confirmed that miR-539-5p can regulate BMP2 to participate in Treg activation in B-ALL.

BMP belongs to the TGF-β superfamily, and a large number of studies have confirmed that TGF-β plays an important role in the inhibitory activity of CD4+CD25+T cells [51]. This study showed that the target genes of differentially expressed miR-539-5p in B-ALL were mainly enriched in the TGF-β pathway. TGF-β pathway is involved in cancer cell proliferation, differentiation, apoptosis and other functions [52]. When TGF-β binds specifically to the receptor, it initiates both classical Smad and non-Smad pathways [53]. MAPK pathway includes ERK, JNK and p38, which are the main signaling pathway for TGF-β to initiate non-Smad in cells [54]. Both Smad and non-Smad pathways are involved in the evolution of Treg differentiation induced by TGF-β [55]. This study found that the culture supernatant of Nalm-6 cells in collaboration with TGF-β1 could activate the phosphorylation of Smad1, Smad2, ERK, JNK and p38. In addition, the transfection of miR-539-5p-mimic and BMP2-siRNA inhibited the activation of the TGF-β1/Smads/MAPK pathway induced by Nalm-6 cells. These results suggested that the regulatory effect of Nalm-6 cells on Treg is achieved through the negative regulation of BMP2 by miR-539-5p to regulate the TGF-β1/Smads/MAPK pathway.

Conclusion

In conclusion, this study showed that miR-539-5p was one of the significantly down-regulated miRNAs in B-ALL and was significantly correlated with Treg expression, and BMP2 was the most differential expressed gene among miR-539-5p target genes, which was mainly enriched in the TGF-β pathway. The expression levels of miR-539-5p and BMP2 were both significantly correlated with the proportion of Tregs. In vitro and in vivo experiments confirmed that miR-539-5p could directly target BMP2, and the low expression of miR-539-5p in B-ALL resulted in significantly increased levels of BMP2. High BMP2 not only promoted Nalm-6 cell proliferation and inhibited apoptosis, but also cooperated with TGF-β1 to promote the expression of transcription factor Foxp3 to promote the differentiation of CD4+CD25-T cells into Foxp3+Treg through the TGF-β1/Smads/MAPK pathways. This study demonstrated that miR-539-5p targeting BMP2 was involved in the Treg activation through the TGF-β1/Smads/MAPK pathway and played an important role in B-ALL.

Author contributions

GZ, YW, LY, LP, and HY conducted the experiments, SG and JH contributed to the data acquisition, QD and RS wrote the manuscript, and YJ contributed supervision. All authors contributed to the article and approved the submitted version.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by the Ethics Committee of West China Second University Hospital of Sichuan University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin. The animal study was approved by the Ethics Committee of West China Hospital of Sichuan University. The study was conducted in accordance with the local legislation and institutional requirements.

Funding

This work was supported by the Medical Science and Technology Project of Health Commission of Sichuan Province (No. 21PJ054).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

Please note that the review of this paper was conducted at the previous publisher, SAGE.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.ebm-journal.org/articles/10.3389/ebm.2024.10111/full#supplementary-material

Footnotes

1www.targetscan.org

References

1. Siegel, RL, Miller, KD, Fuchs, HE, and Jemal, A. Cancer statistics, 2022. CA: A Cancer J Clinicians (2022) 72:7–33. doi:10.3322/caac.21708

CrossRef Full Text | Google Scholar

2. Hunger, SP, and Mullighan, CG. Acute lymphoblastic leukemia in children. New Engl J Med (2015) 373:1541–52. doi:10.1056/nejmra1400972

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pui, CH, Yang, JJ, Bhakta, N, and Rodriguez-Galindo, C. Global efforts toward the cure of childhood acute lymphoblastic leukaemia. Lancet Child Adolescent Health (2018) 2:440–54. doi:10.1016/s2352-4642(18)30066-x

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vrooman, LM, and Silverman, LB. Treatment of childhood acute lymphoblastic leukemia: prognostic factors and clinical advances. Curr hematologic malignancy Rep (2016) 11:385–94. doi:10.1007/s11899-016-0337-y

CrossRef Full Text | Google Scholar

5. Lv, M, Liu, Y, Liu, W, Xing, Y, and Zhang, S. Immunotherapy for pediatric acute lymphoblastic leukemia: recent advances and future perspectives. Front Immunol (2022) 13:921894. doi:10.3389/fimmu.2022.921894

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Romano, G, and Kwong, LN. Diagnostic and therapeutic applications of miRNA-based strategies to cancer immunotherapy. Cancer Metastasis Rev (2018) 37:45–53. doi:10.1007/s10555-017-9716-7

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Bloom, M, Maciaszek, JL, Clark, ME, Pui, CH, and Nichols, KE. Recent advances in genetic predisposition to pediatric acute lymphoblastic leukemia. Expert Rev Hematol (2020) 13:55–70. doi:10.1080/17474086.2020.1685866

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Bhojwani, D, Yang, JJ, and Pui, CH. Biology of childhood acute lymphoblastic leukemia. Pediatr Clin North America (2015) 62:47–60. doi:10.1016/j.pcl.2014.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Buck, MD, O'Sullivan, D, and Pearce, EL. T cell metabolism drives immunity. J Exp Med (2015) 212:1345–60. doi:10.1084/jem.20151159

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ostroumov, D, Fekete-Drimusz, N, Saborowski, M, Kühnel, F, and Woller, N. CD4 and CD8 T lymphocyte interplay in controlling tumor growth. Cell Mol Life Sci (2018) 75:689–713. doi:10.1007/s00018-017-2686-7

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Huang, Y, Ma, C, Zhang, Q, Ye, J, Wang, F, Zhang, Y, et al. CD4+ and CD8+ T cells have opposing roles in breast cancer progression and outcome. Oncotarget (2015) 6:17462–78. doi:10.18632/oncotarget.3958

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Akkaya, B, and Shevach, EM. Regulatory T cells: master thieves of the immune system. Cell Immunol (2020) 355:104160. doi:10.1016/j.cellimm.2020.104160

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Minton, K. Regulatory T cells: subset-specific suppression. Nat Rev Immunol (2017) 17:401. doi:10.1038/nri.2017.68

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Li, C, Jiang, P, Wei, S, Xu, X, and Wang, J. Regulatory T cells in tumor microenvironment: new mechanisms, potential therapeutic strategies and future prospects. Mol Cancer (2020) 19:116. doi:10.1186/s12943-020-01234-1

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ohue, Y, and Nishikawa, H. Regulatory T (Treg) cells in cancer: can Treg cells be a new therapeutic target? Cancer Sci (2019) 110:2080–9. doi:10.1111/cas.14069

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bhattacharya, K, Chandra, S, and Mandal, C. Critical stoichiometric ratio of CD4(+) CD25(+) FoxP3(+) regulatory T cells and CD4(+) CD25(-) responder T cells influence immunosuppression in patients with B-cell acute lymphoblastic leukaemia. Immunology (2014) 142:124–39. doi:10.1111/imm.12237

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bam, M, Yang, X, Sen, S, Zumbrun, EE, Dennis, L, Zhang, J, et al. Characterization of dysregulated miRNA in peripheral blood mononuclear cells from ischemic stroke patients. Mol Neurobiol (2018) 55:1419–29. doi:10.1007/s12035-016-0347-8

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Gardiner, E, Beveridge, NJ, Wu, JQ, Carr, V, Scott, RJ, Tooney, PA, et al. Imprinted DLK1-DIO3 region of 14q32 defines a schizophrenia-associated miRNA signature in peripheral blood mononuclear cells. Mol Psychiatry (2012) 17:827–40. doi:10.1038/mp.2011.78

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ding, W, Xin, J, Jiang, L, Zhou, Q, Wu, T, Shi, D, et al. Characterisation of peripheral blood mononuclear cell microRNA in hepatitis B-related acute-on-chronic liver failure. Scientific Rep (2015) 5:13098. doi:10.1038/srep13098

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Yan, W, Song, L, Wang, H, Yang, W, Hu, L, and Yang, Y. Extracellular vesicles carrying miRNA-181b-5p affects the malignant progression of acute lymphoblastic leukemia. J translational Med (2021) 19:511. doi:10.1186/s12967-021-03174-w

CrossRef Full Text | Google Scholar

21. Rupaimoole, R, and Slack, FJ. MicroRNA therapeutics: towards a new era for the management of cancer and other diseases. Nat Rev Drug Discov (2017) 16:203–22. doi:10.1038/nrd.2016.246

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Hill, M, and Tran, N. miRNA interplay: mechanisms and consequences in cancer. Dis models Mech (2021) 14:dmm047662. doi:10.1242/dmm.047662

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Sempere, LF, Azmi, AS, and Moore, A. microRNA-based diagnostic and therapeutic applications in cancer medicine. Wiley Interdisciplinary Reviews RNA (2021) 12:e1662. doi:10.1002/wrna.1662

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Svoronos, AA, Engelman, DM, and Slack, FJ. OncomiR or tumor suppressor? The duplicity of MicroRNAs in cancer. Cancer Res (2016) 76:3666–70. doi:10.1158/0008-5472.can-16-0359

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tapeh, BEG, Alivand, MR, and Solali, S. The role of microRNAs in acute lymphoblastic leukaemia: from biology to applications. Cel Biochem Funct (2020) 38:334–46. doi:10.1002/cbf.3466

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Lu, TX, and Rothenberg, ME. MicroRNA. J Allergy Clin Immunol (2018) 141:1202–7. doi:10.1016/j.jaci.2017.08.034

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Lee, I, Ajay, SS, Yook, JI, Kim, HS, Hong, SH, Kim, NH, et al. New class of microRNA targets containing simultaneous 5'-UTR and 3'-UTR interaction sites. Genome Res (2009) 19:1175–83. doi:10.1101/gr.089367.108

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Cai, F, Chen, L, Sun, Y, He, C, Fu, D, and Tang, J. MiR-539 inhibits the malignant behavior of breast cancer cells by targeting SP1. Biochem Cel Biol (2020) 98:426–33. doi:10.1139/bcb-2019-0111

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Liu, H, Yang, M, Zhang, Y, Yang, Z, Chen, Z, Xie, Y, et al. The effect of miR-539 regulating TRIAP1 on the apoptosis, proliferation, migration and invasion of osteosarcoma cells. Cancer Cel Int (2021) 21:227. doi:10.1186/s12935-021-01909-9

CrossRef Full Text | Google Scholar

30. Xue, L, Shen, Y, Zhai, Z, and Zheng, S. miR-539 suppresses the proliferation, migration, invasion and epithelial mesenchymal transition of pancreatic cancer cells through targeting SP1. Int J Mol Med (2020) 45:1771–82. doi:10.3892/ijmm.2020.4561

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Brazil, DP, Church, RH, Surae, S, Godson, C, and Martin, F. BMP signalling: agony and antagony in the family. Trends Cell Biology (2015) 25:249–64. doi:10.1016/j.tcb.2014.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Fukuda, T, Fukuda, R, Koinuma, D, Moustakas, A, Miyazono, K, and Heldin, CH. BMP2-induction of FN14 promotes protumorigenic signaling in gynecologic cancer cells. Cell Signal (2021) 87:110146. doi:10.1016/j.cellsig.2021.110146

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Fukuda, T, Fukuda, R, Miyazono, K, and Heldin, CH. Tumor promoting effect of BMP signaling in endometrial cancer. Int J Mol Sci (2021) 22:7882. doi:10.3390/ijms22157882

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Wu, CK, Wei, MT, Wu, HC, Wu, CL, Wu, CJ, Liaw, H, et al. BMP2 promotes lung adenocarcinoma metastasis through BMP receptor 2-mediated SMAD1/5 activation. Scientific Rep (2022) 12:16310. doi:10.1038/s41598-022-20788-2

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Chen, Z, Yuan, L, Li, X, Yu, J, and Xu, Z. BMP2 inhibits cell proliferation by downregulating EZH2 in gastric cancer. Cell Cycle (Georgetown, Tex) (2022) 21:2298–308. doi:10.1080/15384101.2022.2092819

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Jensen, K, WuWong, DJ, Wong, S, Matsuyama, M, and Matsuyama, S. Pharmacological inhibition of Bax-induced cell death: bax-inhibiting peptides and small compounds inhibiting Bax. Exp Biol Med (Maywood, NJ) (2019) 244:621–9. doi:10.1177/1535370219833624

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Spitz, AZ, and Gavathiotis, E. Physiological and pharmacological modulation of BAX. Trends Pharmacological Sciences (2022) 43:206–20. doi:10.1016/j.tips.2021.11.001

CrossRef Full Text | Google Scholar

38. Goldar, S, Khaniani, MS, Derakhshan, SM, and Baradaran, B. Molecular mechanisms of apoptosis and roles in cancer development and treatment. Asian Pac J Cancer Prev (2015) 16:2129–44. doi:10.7314/apjcp.2015.16.6.2129

PubMed Abstract | CrossRef Full Text | Google Scholar

39. González-Magaña, A, and Blanco, FJ. Human PCNA structure, function and interactions. Biomolecules (2020) 10:570. doi:10.3390/biom10040570

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Martínez, VG, Sacedón, R, Hidalgo, L, Valencia, J, Fernández-Sevilla, LM, Hernández-López, C, et al. The BMP pathway participates in human naive CD4+ T cell activation and homeostasis. PloS one (2015) 10:e0131453. doi:10.1371/journal.pone.0131453

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Yoshioka, Y, Ono, M, Osaki, M, Konishi, I, and Sakaguchi, S. Differential effects of inhibition of bone morphogenic protein (BMP) signalling on T-cell activation and differentiation. Eur J Immunol (2012) 42:749–59. doi:10.1002/eji.201141702

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Deng, W, Pan, M, Zhu, S, Chao, R, and Wang, L. Emerging roles of microRNAs in acute lymphoblastic leukemia and their clinical prospects. Expert Rev Hematol (2021) 14:987–92. doi:10.1080/17474086.2021.2007763

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Scheinecker, C, Göschl, L, and Bonelli, M. Treg cells in health and autoimmune diseases: new insights from single cell analysis. J Autoimmun (2020) 110:102376. doi:10.1016/j.jaut.2019.102376

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Tanaka, A, and Sakaguchi, S. Targeting Treg cells in cancer immunotherapy. Eur J Immunol (2019) 49:1140–6. doi:10.1002/eji.201847659

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Moreau, JM, Velegraki, M, Bolyard, C, Rosenblum, MD, and Li, Z. Transforming growth factor-β1 in regulatory T cell biology. Sci Immunol (2022) 7:eabi4613. doi:10.1126/sciimmunol.abi4613

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Lu, L, Ma, J, Wang, X, Wang, J, Zhang, F, Yu, J, et al. Synergistic effect of TGF-β superfamily members on the induction of Foxp3+ Treg. Eur J Immunol (2010) 40:142–52. doi:10.1002/eji.200939618

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Whiteside, TL. FOXP3+ Treg as a therapeutic target for promoting anti-tumor immunity. Expert Opin Ther Targets (2018) 22:353–63. doi:10.1080/14728222.2018.1451514

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Dong, Y, Yang, C, and Pan, F. Post-translational regulations of Foxp3 in Treg cells and their therapeutic applications. Front Immunol (2021) 12:626172. doi:10.3389/fimmu.2021.626172

PubMed Abstract | CrossRef Full Text | Google Scholar

49. El-Maadawy, EA, Elshal, MF, Bakry, RM, Moussa, MM, El-Naby, S, and Talaat, RM. Regulation of CD4(+)CD25(+)FOXP3(+) cells in pediatric acute lymphoblastic leukemia (ALL): implication of cytokines and miRNAs. Mol Immunol (2020) 124:1–8. doi:10.1016/j.molimm.2020.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Zidan, M, Zidan, AA, Attia Saad, M, El-Shanshory, M, Bakry, U, Sobh, A, et al. Altered microRNA expression profile is linked to T-cell exhaustion-related pathways in pediatric patients with acute lymphoblastic leukemia. Hum Immunol (2023) 84:113–22. doi:10.1016/j.humimm.2022.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Chen, W, Jin, W, Hardegen, N, Lei, KJ, Li, L, Marinos, N, et al. Conversion of peripheral CD4+CD25− naive T cells to CD4+CD25+ regulatory T cells by TGF-β induction of transcription factor Foxp3. J Exp Med (2003) 198:1875–86. doi:10.1084/jem.20030152

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Syed, V. TGF-Β signaling in cancer. J Cell Biochem (2016) 117:1279–87. doi:10.1002/jcb.25496

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Derynck, R, and Zhang, YE. Smad-dependent and Smad-independent pathways in TGF-β family signalling. Nature (2003) 425:577–84. doi:10.1038/nature02006

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Mu, Y, Gudey, SK, and Landström, M. Non-Smad signaling pathways. Cel Tissue Res (2012) 347:11–20. doi:10.1007/s00441-011-1201-y

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Kanamori, M, Nakatsukasa, H, Okada, M, Lu, Q, and Yoshimura, A. Induced regulatory T cells: their development, stability, and applications. Trends Immunology (2016) 37:803–11. doi:10.1016/j.it.2016.08.012

CrossRef Full Text | Google Scholar

Keywords: miR-539-5p, BMP2, TGF-β, Treg, B-cell acute lymphoblastic leukemia

Citation: Dai Q, Shi R, Zhang G, Wang Y, Ye L, Peng L, Guo S, He J, Yang H and Jiang Y (2024) miR-539-5p targets BMP2 to regulate Treg activation in B-cell acute lymphoblastic leukemia through TGF-β/Smads/MAPK. Exp. Biol. Med. 249:10111. doi: 10.3389/ebm.2024.10111

Received: 02 March 2023; Accepted: 02 October 2023;
Published: 13 February 2024.

Copyright © 2024 Dai, Shi, Zhang, Wang, Ye, Peng, Guo, He, Yang and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yongmei Jiang, amlhbmd5b25nbWVpLTFAMTYzLmNvbQ==

These authors have contributed equally to this work

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