Introduction
Multiple myeloma (MM) is an incurable dyscrasia with second-highest incidence in hematologic malignancy, which is attributed to the buildup of monoclonal plasma cells in the bone marrow [
1,
2]. Approximately 230,000 patients are diagnosed with MM every 5 years [
3]. Nearly 80% of new-diagnosed patients are detected with osteolytic lesions which contribute to the considerably elevated risk of death [
4]. Attention to bone disease is a critical part of the therapeutic strategy for myeloma patients. Previous studies have demonstrated that the suppression of osteoblast function and enhancement of osteoclast activity plays significant role in the pathogenesis of myeloma bone disease [
5]. Various pathways participate in the bone remodeling process, such as the receptor activator of nuclear factor (NF)-κB (RANK)/RANK ligand (RANKL) signaling pathway, Notch signaling pathway and tumor necrosis factor (TNF) superfamily, which are implicated in increased osteoclast activity, as well as the Wingless and integration-1 (WNT) signaling pathway, Dick-kopf-1 (DKK1) pathway and sclerostin pathway, which are implicated in decreased osteoblast activity [
6‐
8].
Runt-related transcription factor 2 (RUNX2) is a transcription factor from Runx family which is consist of RUNX1, RUNX2, and RUNX3, and RUNX2 is vital for bone development [
9]. It is expressed in multipotent mesenchymal cells, osteoblast-lineage cells, and chondrocytes. RUNX2 is conducive to osteoblast differentiation and chondrocyte maturation by directly regulating Ihh and Sp7 expression and canonical Wnt signaling [
10]. In addition, recent studies have confirmed that RUNX2 is closely related to the proliferation and invasion of cancers, such as osteosarcoma, breast cancer, prostate cancer, gastric cancer, lung cancer, melanoma, and colorectal cancer [
11‐
13]. RUNX2 is overexpressed in the above malignant tissues and stimulates the expression of metastatic marker genes such as vascular endothelial growth factor (VEGF), metalloproteinase 2 (MMP-2), osteopontin (OPN), and parathyroid hormone-related peptide (PTHrP), which ultimately leads to higher TNM stage and a poor prognosis in patients [
14‐
16].
As an essential factor involved in bone development, RUNX2 exhibits an adverse effect on bone metastasis in multiple cancers. Previous studies have shown that RUNX2 contributes to the progression of breast and prostate cancer-related osteolytic bone destructions by inducing TGFβ signaling and the CTGF-RUNX2-RANKL axis [
17‐
19]. New evidence has revealed that RUNX2 participates in the regulation of CD44-intracellular domain to the transcription of matrix metalloprotease-9 (MMP-9), which leads to enhanced bone resorption [
16]. In MM, RUNX2 derived from myeloma cells facilitates tumor development through Akt/
β-catenin/survivin signaling and upregulates the expression of multiple metastasis-related genes, which might be responsible for myeloma bone resorption [
20]. Further study revealed that blocking RUNX2 in myeloma cells suppressed osteolytic lesions in vivo [
21]. However, the detailed mechanism of the interaction between osteoclasts and osteoblasts in RUNX2-induced bone destruction, especially osteoblast activity transformation, remains unclear.
In this study, we show that increased expression of RUNX2 is responsible for bone destruction in MM. We demonstrate that RUNX2 promotes the suppression of osteoblast activity and enhancement of osteoclast activity by multiple myeloma cells using in vitro and in vivo approaches. Importantly, our data provide evidence that therapeutic inhibition of RUNX2 may protect against bone destruction by maintaining the balance between osteoblast and osteoclast activity in MM.
Discussion
The role of RUNX2 in cancers has been explored in many studies. In human non-small cell lung cancer (NSCLC), increased expression of RUNX2 is significantly correlated with tumor size, tumor stage, and lymph node metastasis [
26]. In human colon carcinoma, RUNX2 is associated with Dukes’ stage, liver metastasis, and ER
β status, and increases in these factors are related to adverse clinical outcomes [
27]. Evidence indicates RUNX2 as a poor prognostic factor in cancers, and our findings in MM support this. In an analysis of publicly available data, RUNX2 displayed elevated expression in myeloma plasma cells and was positively correlated with disease progression and unfavorable overall survival in patients.
Different from its function of promoting bone formation in osteoblasts, cancer cell-derived RUNX2 was found to have an adverse effect on cancer-related bone destruction. As reported, RUNX2 facilitates bone resorption by regulating the expression of TGFβ, MMP-9, ITGA5, or RANKL [
28‐
31]. While most studies on RUNX2 and bone destruction focus on the influence on osteoclasts, the interaction between cancer cell-derived RUNX2 and osteoblasts is not well understood. By extracting CCM and applying it to both osteoclasts and osteoblasts, we found that RUNX2 upregulation in myeloma cells not only enhanced the promoting effect of myeloma cells on osteoclast activity but also the suppressive effect of myeloma cells on osteoblast activity and facilitated the differentiation of osteoclasts mediated by osteoblasts, ultimately aggravating bone destruction.
RNA-sequencing analysis suggested communication between RUNX2, M-CSF, ITGB3, CD44, LCN2, and CLU in RUNX2 k/in myeloma cells. Macrophage colony-stimulating factor (M-CSF) is known as a regulator of osteoclast differentiation and proliferation [
32,
33]. It was reported that the combined action of M-CSF and RANKL as well as preinduction with M-CSF may promote osteoclastogenesis and enhance the resorption function of osteoclasts [
34]. As studies have described, M-CSF usually works with RANKL in osteoclast differentiation [
35,
36]. In our assay, RUNX2 upregulation contributed to increased expression of M-CSF but not RANKL, which indicates that M-CSF may play a role in RUNX2-induced bone destruction, but whether M-CSF acts alone needs further exploration. ITGB3 encodes integrin subunit beta 3, which was found to mediate the bone-resorbing function of osteoclast-like myeloma cells [
37]. Conditional knockdown of ITGB3 revealed its involvement in osteolysis in breast cancer [
38]. It has been reported in prostate cancer that integrin
αv
β3 and CD44 pathways function in osteoclastogenesis via a RUNX2/Smad5-signaling axis [
39], which provides evidence for RUNX2-related bone destruction in MM.
Lipocalin-2 (LCN2) is a secreted glycoprotein that is abundant in aggressive subtypes of cancer, including breast, pancreas, thyroid, ovarian, colon, and bile duct cancers [
40]. It was reported that LCN2 activates cAMP-mediated signaling in bone cells, while increased cAMP signaling may inhibit osteoblast differentiation by decreasing BMP pathway signaling [
41,
42], which indicates the negative effect of cancer-derived LCN2 on osteogenesis. PPI networks revealed the interaction of RUNX2, CLU, and LCN2. CLU encodes secreted clusterin, which inhibits osteoblast differentiation by suppressing the ERK1/2-signaling pathway [
43]; thus, we hypothesized that CLU/LCN2 signaling is involved in RUNX2-related osteoblast suppression.
In conclusion, we propose that upregulated RUNX2 promotes the suppression of osteoblast activity and enhancement of osteoclast activity by myeloma cells. Additional studies are needed to determine the role of M-CSF and LCN2 in RUNX2-related bone destruction. Further investigation of the interaction between M-CSF, LCN2, and osteoclasts or osteoblasts is needed. The study lays the foundation for further research and suggests that therapeutic inhibition of RUNX2 may protect against bone destruction by maintaining the balance between osteoblast and osteoclast activity in MM.
Materials and methods
Data from a public database
Gene expression profiles and clinical information of microarray datasets, including GSE24080, GSE118985, GSE77539, GSE4204, GSE31161, and GSE124435, were obtained from the Gene Expression Omnibus (GEO) database (
http://www.ncbi.nlm.nih.gov/geo/). The raw count data were preprocessed with normalization and log2 transformation. Transcript sequencing data (TPM) of MM were downloaded from the MMRF-CoMMpass project on the Genomic Data Commons Data Portal (
https://portal.gdc.cancer.gov/). Box plots and Kaplan–Meier survival curves were constructed with R packages “ggboxplot” and “survminer” in R Studio (version 4.2.1).
Data from MM patients
Thirty bone marrow paraffin sections and 15 fresh bone marrow fluid samples from newly diagnosed MM patients and clinical data were collected in the First Affiliated Hospital of Sun Yat-sen University with approval from the ethics committee (No. IIT-2021-799).
Bone marrow paraffin sections were subjected to immunohistochemical staining with anti-CD138 antibody (Abcam: ab181789) and anti-RUNX2 antibody (CST: #12,556). To narrow bias brought by tumor cell density, we calculated the ratio of RUNX2/CD138 average optical density (AOD) by Image ProPlus software (version 6.0) as the relative protein level of RUNX2.
CD138-positive plasma cells were collected from fresh bone marrow fluid through immunomagnetic bead sorting (Miltenyi MACS bead isolation kit). RNA was extracted from CD138-positive plasma cells and subsequently used to assess RUNX2 expression.
Cell lines and lentiviral transfection
The murine MM cell-line 5TGM1, preosteoblast cell-line MC3T3-E1, and preosteoclast cell-line RAW264.7 were kind gifts from Zhangxingding laboratory, Sun Yat-sen University. RUNX2 k/in and control 5TGM1 cell lines were constructed by lentiviral transfection and identified by quantitative polymerase chain reaction (qPCR) analysis and western blot analysis. Cells were cultured with medium supplemented with 10% FBS and 100 μg/mL penicillin‒streptomycin at 37 °C in 5% CO2.
Preparation of CCM
RUNX2 k/in 5TGM1 cells and control 5TGM1 cells were cultured with serum-free medium at a density of 106 cells/mL for 24 h. Then, the cells were removed, and the liquid supernatant was concentrated with a 100 kD protein concentrator (Millipore: UFC9100) and filtered with a 0.22 µM pore filter at 4 °C [
44]. Concentrated conditioned medium (CCM) was obtained after 10 concentration steps.
Osteoblast and osteoclast culture
MC3T3 E1 and RAW264.7 were seeded for 24 h, and then the medium was replaced with serum-free medium (BLANK), control CCM, and RUNX2 k/in CCM. After 24 h of incubation, cell viability was detected by the CCK-8 assay (Vazyme: A311-01), apoptosis was detected with the Annexin V-APC/PI Apoptosis Kit (KeyGEN Biotech: KGA1030), and differentiation was detected by quantitative PCR according to the manufacturer’s instructions.
Quantitative polymerase chain reaction (qPCR) analysis
qPCR was used to assess the expression of genes after total RNA was extracted and reverse transcribed using the PrimeScript cDNA Synthesis Kit (Takara: #6210). Quantitative PCR was performed using a SYBR Green Mater Mix (Vazyme: Q111-02) according to the manufacturer’s instructions. The PCR primers are listed as follows Table
1.
Table 1
Primers used for qPCR
Human RUNX2 | F: 5ʹ-AACCCACGAATGCACTATCCA-3 ʹ, R: 5 ʹ -CGGACATACCGAGGGACATG-3ʹ |
Mouse RUNX2 | F: 5ʹ-AGAGTCAGATTACAGATCCCAGG-3ʹ, R: 5ʹ-AGGAGGGGTAAGACTGGTCATA-3ʹ |
Mouse OSX | F: 5ʹ-TGCGCCAGGAGTAAAGAATAG-3ʹ, R: 5ʹ-CCTGACCCGTCATCATAACTTAG -3ʹ |
Mouse ALP | F: 5ʹ-GGAATACGAACRGGATGAGAAGG-3ʹ, R: 5ʹ-GGTTCCAGACATAGTGGGAATG-3ʹ |
Mouse OPG | F: 5ʹ-CAATGGCTGGCTTGGTTTCATAG-3ʹ, R: 5ʹ-GGAGCTGCTGTGACATCCATAC-3ʹ |
Mouse OCN | F: 5ʹ-CTCTGTCTCTCTGACCTCACAG-3ʹ, R: 5ʹ-GGAGCTGCTGTGACATCCATAC-3ʹ |
Mouse RANKL | F: 5ʹ-CTCTTGGTACCACGATCGAG-3ʹ, R: 5ʹ-AAGCCCCAAAGTACGTCGCA-3ʹ |
Mouse M-CSF | F: 5ʹ-GAACAGCCTGTCCCATCCATC-3ʹ, R: 5ʹ-TGAGGCCAGCTSAGCAA-3ʹ |
Mouse NFATC1 | F: 5ʹ-GGGTCAGTGTGACCGAAGAT -3ʹ, R: 5ʹ-AGGTGGGTGAAGACTGAAGG-3ʹ |
Mouse CCND1 | F: 5ʹ-GCGTACCCTGACACCAATCTC-3ʹ, R: 5ʹ-CTCCTCTTCGCACTTCTGCTC-3ʹ |
Mouse CASP3 | F: 5ʹ-TGGTGATGAAGGGGTCATTTATG-3ʹ, R: 5ʹ-TTCGGCTTTCCAGTCAGACTC-3ʹ |
RNA-sequencing analysis
Total RNA was extracted from control and RUNX2 k/in 5TGM1 cells. At least 1 µg of RNA from 3 biological replicates of each group was used for high-throughput RNA sequencing after quality control. Sequencing data were processed at the Beijing Genomics Institute (BGI). Transcripts per kilobase of exon model per million mapped reads (TPM) values of genes were used in the subsequent analysis. Gene Set Enrichment Analysis (GSEA) was employed to evaluate KEGG and GO term enrichment in the control and RUNX2 k/in groups with R package “clusterProfiler” in R Studio (version 4.2.1). PPI networks were constructed with 421 upregulated genes that were screened with log2-fold change > 1.5 in the STRING website (
https://cn.string-db.org/) and Cytoscape software (version 3.9.1).
Animal experiment
All procedures involving animals were approved by the Sun Yat-sen University Animal Ethics Committee (No. SYSU-IACUC-2022-000,403). C57BL/6 mice (4 weeks old) received a right tibia injection of control or RUNX2 k/in 5TGM1-GFP cells (106 cells). On day 28, the animals were detected by an in vivo imaging system (IVIS) and then sacrificed. The affected tibias were assessed by microcomputed tomography (micro-CT). The 3D model of bone trabecula was constructed from 0.2 mm below the tibia platform, and trabecula parameters, including bone volume/total volume (BV/TV), trabecular thickness (Tb. Th), trabecular number (Tb. N), and trabecular spacing (Tb. Sp) were assessed.
Statistical analysis
Statistical analysis was performed with R Studio (version 4.2.1) and GraphPad Prism software (version 9.0). The Mann–Whitney test and Student’s t test were used to determine significance as appropriate after the normality test. Values are presented as the mean ± standard error of the mean. A p value < 0.05 was considered statistically significant. All statistical tests were two-sided.
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