Introduction
Breast cancer (BC) is one of the most common malignancies with second ranks among the causes of tumor-associated mortality in females [ 1 , 2 ]. More than 80 percent of these patients who suffer from metastatic cancer die of their diagnosis [ 3 ]. Unfortunately, Bone is one of the first and most common sites for metastasis among BC patients which has impressed the survival and life quality of these patients seriously.
Nowadays, a limited number of therapies for bone metastatic breast cancer patients (BMBCP) are present, therefore it notes the key role of early diagnosis of metastasis in these patients especially BMBCP [ 4 ].
Depending on the clinical tumor subtype, therapeutic backbones include endocrine therapy, anti-HER2 targeting, and chemotherapy. In metastatic breast cancer, therapy goals are prolongation of survival and maintaining quality of life [ 5 ]. With increasing awareness of involved molecular pathways that cause breast cancer, new opportunities have emerged for tumor prediction and response to treatment, as well as evaluation of the tumor’s aggressive potential [ 6 ].
Genetics and genomics changes assessment and study in metastasis breast cancer patients is a precious step to find the main driving changes in metastasis development as the majority of breast cancer patients die down after enduring a difficult period of illness and entering to metastasis phase of this disease that the most common site is bone [ 7 ]. Runx2 directly and indirectly by governing respective signaling pathways during bone metastasis of BC [ 8 ].
RUNX2 gene produces a crucial transcription factor that belongs to the Runx family consisting of Runx1, Runx2, and Runx3, RUNX2 expression can be seen in osteoblast progenitors and osteoblasts which is crucial for osteoblast progenitors, and its differentiation to osteoblasts [ 9 ].
RUNX2 expression can be seen in chondrocytes as well [ 10 ]. Therefore, for growing skeletal, maturity of chondrocyte and differentiation of osteoblast RUNX2 expression is needed [ 11 , 12 ]. The involvement of RUNX2 in the development of different malignancies and conditions was reported [ 13 , 14 ].
It is worth mentioning that Vishal and colleagues also examined the potential dysfunction and regulation of RUNX2 in breast cancer-related bone metastasis. However, the regulatory mechanisms involved in the metastatic process and drug resistance in triple-negative breast cancer remain inadequately understood [ 15 ]. Overexpression of RUNX2 has been associated with enhanced proliferation of overall survival (OS) cells in vitro, unfavorable clinical outcomes, and reduced effectiveness of chemotherapeutic treatments [ 16 ].
The Aim of this study was, examined the level of RUNX2 gene expression to understand the differences between metastatic breast cancer patients and non-metastatic BC samples of affected patients.
Materials and Methods
Sampling
Fifty fresh HER2 positive breast tumor RNA purification and cDNA synthesis samples underwent metastatic symptoms as well as 50 non-metastatic biopsies received from Shohada Tajrish referral Hospital (Tehran, Iran) in Jun 2022. All data is saved for analysis and all of the breast tumors were tested by IHC staining in the pathology section.
All samples were classified into two metastatic and non-metastatic tumor groups. The GAPDH gene was used as an internal control for the accuracy of the experiment. 50 non-metastatic breast tumor samples that were tested through pathology tests were considered as a control group. Fifty metastatic breast cancer sample tissues were studied as a target group in this study.
Tumor cell lysis and homogenization
After moving outside of tumor samples, the supernatant was transferred into a 15 ml tube and centrifuged at 2,000 g for 5 minutes at 4 centigrade degrees. The supernatant was then discarded, and lysis buffer with 2-mercaptoethanol was added. A rotor-stator homogenizer was used to homogenize at room temperature. Then, the supernatant of each sample was transferred to a clean RNase-free tube for RNA purification for each sample related to both target and control groups.
Total RNA purification and cDNA Synthesis
RNA purification of breast tumor samples was performed using an Ambion pure RNA mini kit (Cat.nos.12183018A, 12183025). Fifty μg of each breast tumor sample was added to the proper micro-tube and one volume of 70% ethanol was added to each volume of cell homogenate. After mixing thoroughly and dispersing any visible precipitate that may form after adding ethanol, up to 700μl of any sample to the spin cartridge was transferred. Then centrifuged in 12000rfc for 15 seconds at room temperature.
Following that, the flow-through was discarded, and the spin cartridge into the same collection tube was reinserted. After 4 times repeating this step, using wash buffer I, centrifuging at 12,000 rfc for 15 seconds at room temperature, and placing the spin cartridge into a new collection tube, 15μl wash buffer II with ethanol was added to each spin cartridge.
Each spin cartridge was centrifuged in 12000rfc for 15 seconds at room temperature and after that, each flow-through was discarded. After one time repeating the previous step, drying the membrane with a bound RNA centrifuge in 12,000 rfc for 1-2 min at room temperature was done. Following that, the collection tubes were discarded and each spin cartridge was inserted into a recovery tube.
A proper volume of RNase-free water was added to the center of each spin cartridge and incubated at room temperature. Centrifuging of each spin cartridge in 12,000 rfc for 2 min at room temperature was done to elute RNA from the membrane into the recovery tube. Finally, all purified RNA was labeled and stored in -80 ͦ C.
Reverse Transcription and Real-time PCR
0.5 μg of oligo dT and 16 μL RNase-free water were added to 5 μg of the whole RNA and incubated at 64 ͦϹ for 10 minutes. (Extracted RNA for each sample provided and stored in -80 o C).
The primers for SYBR Green real-time PCR were designed specifically for the RUNX2 gene and the GAPDH gene reference gene, Table 1 . The assays were repeated in their entirety for each measurement. Reverse Transcription is accomplished with the Superscript First-Strand Synthesis System for RT-PCR. The following procedure is based on Invitrogen’s protocol (total RNA 5 μg, random hexamers (50 ng/μl) 3 μl, 10 mM dNTP mix 1 μl, DEPC H2O to 10 μl). Incubate the samples at 65 o C for 5 min and then on ice for nearly 1-1.5 min.
Table 1
Primer Design with Gene Runner and NCBI BLAST for GAPDH and RUNX2 Genes. * Homo sapiens with failure rate
| Genes | Forward primer 1 | Reverse primer 1 | product length |
| Homo sapiens RUNX2 , mRNA | TCTGGCCTTCCACTCTCAGT | GACTGGCGGGGTGTAAGTAA | 161 |
| Homo sapiens GAPDH , mRNA | GAAGGTGAAGGTCGGAGTCA | TGACAAGCTTCCCGTTCTCA | 200 |
Prepare reaction master mixture. For each reaction (10x RT buffer 2μl, 25 mM MgCl2 4 μl, 0.1 M DTT 2 μl, RNAase outing 1 μl). Add the mixture to the RNA/primer and then place it at room temperature for 3 min. Add 1 μl (50 units) of Superscript II RT to each tube, mix, and incubate at 25 o C for 10 min. Incubate the tubes at 42 o C for 50 min, heat inactivates at 70 o C for 15 min and then chill on ice. Add 1 μl RNase H and incubate at 37 o C for 20 min. Store the 1 st strand cDNA at -20 o C until use for Real-time PCR. Invitrogen™ AM1745، Invitrogen™ Ambion™ Message Sensor™ RT Kit was applied in this part.
Results
Breast cancer is one the most common cancer which is a heterogeneous condition with different pathological and cytological features. The pathology, cytogenetic, and molecular diagnosis are crucial steps to illustrate the prognosis and start therapy for these patients.
Using molecular biomarkers such as the RUNX2 Gene can be helpful to prognosis more accurate which can also be useful for the metastasis potential prediction as well as prediction of overall survival based on RUNX2 gene expression levels which considering all aspects and comparing with other available data and researches, applying some reliable existing data in several prominent knowledge bases is one of the best ways to be more precise about selecting proper target gene.
In such cases, we have accomplished various analyses in GEPIA2 and TNM-Plot to evaluate the RUNX2 mRNA levels of expression in tumor and normal cells GEPIA2, Figure 1a , and assess the expression level of this gene in normal, tumor, and metastatic tumor cells (TNM-plot), figure 1b and Table 2 , in other previous firmed research which their results have been indicated in Figure 1, a and b.

Table 2
Information Related to TNM-Plot Analysis is Shown in This Table
Min, Minimum; Med, medium; Max, Maximum; N, Number; The significance of this analysis is also shown in Figure 2, b.
| Kruskal.Wallis.p. | Fc.tumor.norm. | Fc.meta.tumor. | |||||
| 3.05E-09 | 0.32 | 0.4 | |||||
| Min | Q1 | Med | Q3 | Max | Upper whisker | N | |
| Normal | 2 | 22 | 57 | 123 | 1765 | 234 | 242 |
| Tumor | 0 | 24 | 51 | 100 | 1816 | 214 | 7569 |
| Metastatic | 2 | 10 | 26.5 | 44 | 174 | 92 | 82 |
Moreover, to understand the importance and correlation of the RUNX2 gene expression levels with overall survival the Kaplan Meyer plotting has been used and its results are indicated below. In Figures 2a and b results related to the microarray data and in Figures 3 and 4 results related to RNA-seq data were analyzed.


Q-PCR results
Quantitative real-time PCR techniques can be applied for solid tumor profiling and can be considered a strong and cost-effective molecular method in cancer diagnostic and research approaches. The Q-PCR reaction, Figure 3, was performed on both metastatic and non-metastatic tumor samples as aforementioned, and the raw data were analyzed with Rest, GraphPad-prism9, and SPSS. 20 software, t-test, and Pearson chi-square analysis. Our study outputs revealed that the RUNX2 gene was significantly up-regulated in metastatic tumor samples, and sound to be considered as a promising marker for bone metastasis tracing in breast cancer patients, especially the advanced cases.
REST Analyses results
RUNX2 gene was up-regulated in the target group that contains MBC tumors in comparison to the control group (NMBC samples) by a mean factor of 3.576 the standard error range was (S.E. range is 0.876 - 17.098).
The RUNX2 expression in the MBC group was different from the control group with P(H1)=0.000. Table 3 . The relative expression comparison graph for the RUNX2 gene and its fold change analysis is shown in Figure 4 . The information related to the values is introduced in Table 4 .
Table 3
RUNX2 is UP-Regulated in the Sample Group (in Comparison to the Control Group) by a Mean Factor of 3.576 (S.E. range is 0.876 - 17.098).*= up-regulation, TRG: target, REF: reference
| Relative Expression Results | |||||||
| Parameter | Value | ||||||
| Iterations | 2000 | ||||||
| Gene | Type | Reaction | Efficiency | Expression | Std. Error | 95% C.I.P H1 | Result |
| RUNX2 | TRG. | 0.953 | 3.576 | 0.876 - 17.098 | 0.211 - 63.955 | 0 | UP* |
| GAPDH | REF. | 0.9724 | 1 |

Table 4
Statistics Assessment of Results of Expression Values of Metastatic and Non-Metastatic Breast Cancer Cells
| Number of values | 50 met. | 50 non-met |
| 25% Percentile | 0.08425 | 0.02060 |
| Median | 0.2104 | 0.05440 |
| 75% Percentile | 0.4134 | 0.1250 |
| Mean | 0.3590 | 0.07344 |
| Std. Deviation | 0.4950 | 0.06611 |
| Std. Error of Mean | 0.07000 | 0.009350 |
Graph Pad-Prism Analyses and T-test graphs
İnn this step, the significance of differences between levels of RUNX2 mRNA in metastatic tumor and non-metastatic tumor samples is examined by Graph Pad Prism Analyses and T-test graphs. The observed result is provided in Table 5 .
Table 5
Statistical Analysis Results for RUNX2 Gene Expression Assessment.ddCt *: ΔΔCt
| Data Analyzed | RUNX2 Project | |
| Column A | Metastatic Group | |
| vs. | vs. | |
| Column B | Non-Metastatic | |
| P value and Statistical significance | ||
| Test: chi-square, df | 7.034, 1 | |
| Z | 2.652 | |
| P value | <0.0080 | |
| P value summary | *** | |
| Significantly different (P < 0.05)? | Yes | |
| One- or two-sided P value? | Two-sided | |
| Sensitivity and specificity | ||
| Sensitivity | 99% | |
| specificity | 99% | |
| Number of values | 50 ((-ddCt* MBC)) | 50 ((ddCt NMBC)) |
| Missing | 0 | 0 |
| Std. Deviation | 1.739 | 1.365 |
| Std. Error of Mean | 0.043 | 0.0193 |
ROC Analyses
All outputs were assessed by ROC plotter analysis, and the results of the metastatic samples were compared with non-metastatic samples for RUNX2 mRNA expression to check specificity and sensitivity. The results shown in Table 6 and the related ROC curve can be seen in Figure 5 .
Table 6
ROC Curve Analysis
| Area under the ROC curve | |
| Area | 0.8006 |
| Std. Error | 0.04366 |
| 95% confidence interval | 0.7150 to 0.8862 |
| P-Value | <0.0001 |
| Data | |
| Controls ((ddct NMBC)) | 50 |
| Targets ((-ddct MBC)) | 50 |

Assessment of the correlation between the RUNX2 gene expression levels and tumor prognostic factors
In the present research, the correlation between the RUNX2 gene expression level changes and prognostic factor contains tumor grade, Table 7 and Figure 6a , and tumor stage, table 8 and Figure 6b , and QPCR analysis indicated that this gene expression was remarkably correlated with both tumor grade and tumor stage. The methods used to compare CIs are noted below the Table 8 .
Table 7
RUNX2 Gene Expression Level Changes Relationship and Tumor Grade Progression, Assessment, P.value < 0.0069. *Relative risk with Koopman asymptotic score, Attributed risk (P1-P2) with Newcombe/Wilson with CC, Odd ratio with Baptista-pike and Sensitivity, Specificity also with Wilson-Brown methods.
| Up-regulated | Down-regulated | Total | |
| Data analysed | |||
| Grade 2 | 11 | 12 | 23 |
| Grade 3 | 23 | 4 | 27 |
| Total | 34 | 16 | 50 |
| Percentage of raw total | |||
| Grade 2 | 47.83% | 52.17% | |
| Grade 3 | 85.19% | 14.81% | |
| Percentage of column total | |||
| Grade 2 | 32.035% | 75.00% | |
| Grade 3 | 67.65% | 25.00% | |
| Percentage of grand total | |||
| Grade 2 | 22.00% | 24.00% | |
| Grade 3 | 46.00% | 8.00% |

Table 8
RUNX2 Gene Expression Level Changes Relationship and Tumor Stage Development Assessment, P.value < 0.0080.
| Up-regulated | Down-regulated | Total | |
| Data analysed | |||
| Stage 2 | 14 | 13 | 27 |
| Stage 3 | 20 | 3 | 23 |
| Total | 34 | 16 | 50 |
| Percentage of raw total | |||
| Stage 2 | 51.85% | 48.15% | |
| Stage 3 | 86.96% | 13.75% | |
| Percentage of column total | |||
| Stage 2 | 41.18% | 81.25% | |
| Stage 3 | 58.82% | 18.75% | |
| Percentage of grand total | |||
| Stage 2 | 28.00% | 26.00% | |
| Stage 3 | 40.00% | 6.00% |
Discussion
One of the critical issues concerning various types of cancer, particularly breast cancer, is its complexity and heterogeneity [ 17 ]. Breast cancer is, in fact, a heterogeneous collection of molecular and cytological pathological manifestations. Accurate and precise diagnosis of the different molecular subtypes poses a significant challenge for researchers, as it is essential for providing accurate prognosis and determining the most appropriate treatment for the patient [ 18 , 19 ].
Metastatic breast cancer cells acquire invasive characteristics from the tumor microenvironment through multiple mechanisms, including epithelial-mesenchymal transition (EMT) and epigenetic regulation [ 20 , 21 ]. Therefore, understanding the nature and mechanisms of breast cancer metastasis can facilitate the development of metastasis-targeted therapies [ 22 ].
As aforementioned, this study explores the mechanisms that lead to metastasis and reviews current treatments aimed at improving early detection and prognosis for patients with metastatic breast cancer.
In the present study, analysis of RUNX2 expression levels in two groups of breast tumor cells revealed a significant difference between metastatic and non-metastatic tumor samples, with a p-value of 0.0001 and a standard error of 0.876. The findings indicated that RUNX2 expression is markedly elevated in tumor cells (Mean Factor = 3.756), with approximately 3.5-fold higher expression in metastatic tumor cells compared to non-metastatic samples.
These results, supported by statistical analysis and relevant software, are consistent with numerous past studies regarding the increased expression of this gene in the aggressiveness of breast cancer and its progression to metastasis, particularly to bone.
Based on conducted studies, using markers to provide accurate prognoses has been widely discussed and investigated. For instance, research has shown that applying the HOXB13 marker is associated with a poor prognosis, as its overexpression induces tumor growth and increases its invasive potential in various types of tumors [ 23 , 24 ].
Breast cancers frequently result in metastasis and frequently metastasize to the bone, where they induce osteoclasts to resorb bone and inhibit osteoblasts from producing new bone, resulting in osteolytic bone destruction [ 25 ]. Runt-related transcription factor 2 (Runx2) serves as a critical determinant of bone metastasis in breast cancer. Runx2 is recognized as a mediator of the activation of osteoclast activity and the inhibition of osteoblast differentiation by metastatic breast cancer cells [ 26 ].
In studies conducted by Daniel Mendoza et al., 2011 on human breast cancer cells, specifically the non-metastatic MCF7 cell line and the metastatic MDA-MB-231 cell line sourced from ATCC, a significant correlation was identified between the expression levels of the RUNX2 gene and the progression of breast cancer cell metastasis. This study incorporated microarray analyses, validation of results through quantitative PCR (qPCR), and Western blotting. The laboratory findings of the present study are consistent with the results obtained by Mendoza et al., in 2011 [ 27 ].
Moreover, another study by George L. Barnes et al. in 2004, utilizing Western blot techniques, demonstrated that increased expression of the RUNX2 gene facilitates a molecular phenotype that enables interactions between tumor cells and the bone microenvironment, leading to osteolytic disease. This finding provides evidence for the biological significance of the RUNX2 gene product in promoting bone metastasis [ 28 ]. The results of their study are consistent with the findings of the present study and confirm the results obtained in this research.
In 2023, research conducted by Wang et al., published in the esteemed journal Frontiers in Oncology, revealed that elevated RUNX2 expression plays a critical role not only in the progression of breast cancer metastasis but also in other cancer types. This study, which focused on gastric cancer cell lines (MKN-45 and AGS) as well as normal gastric epithelial mucous cells (GES-1), found that RUNX2 is overexpressed, and knockdown of RUNX2 significantly reduced proliferation, invasion, and migration of MKN-45 and AGS cells (p < 0.05) [ 29 ], and it indicates that not only is this gene important in breast tumor metastasis and invasiveness, but its elevated expression can also be examined in other types of cancers. The expression levels of RUNX2 in the human gastric epithelial mucous cell line (GES-1) and gastric cancer cell lines (MKN-45 and AGS) were analyzed through q-RT-PCR and Western blotting. As depicted in Figure 1 -4, both mRNA and protein levels of RUNX2 are significantly elevated in MKN-45 and AGS cells, confirming the notable increase of RUNX2 in gastric cancer, which parallels findings in breast cancer. This underscores the relevance of selecting RUNX2 as a critical gene in the present study and other research endeavors.
In in vivo studies conducted by Huang, B. et al. in 2023, a positive correlation was demonstrated between RUNX2 expression and bone degradation in mice bearing multiple myeloma. The results, with a p-value < 0.05, indicate that the inhibition of RUNX2 may protect against bone destruction by maintaining the balance between osteoblast and osteoclast activity in multiple myeloma. This study involved 30 paraffin-embedded bone marrow samples and 15 fresh bone marrow samples from patients with multiple myeloma [ 30 ].
In another study – inconsistent with the findings of our study- by Yoshiaki Onodera in 2010, which involved the retrieval of patient records from 137 cases of invasive ductal carcinoma, significant associations were found between RUNX2 expression and tumor stage (p = 0.0004), histological grade (p = 0.046), and HER2 status (p = 0.002). No significant correlation was observed between RUNX2 expression and patient age (p = 0.78) or menopausal status (p = 0.69) [ 31 ].
Notably, research by Xiao-Qing et al. in 2016 demonstrated that increased expression of this gene promotes the aggressive behavior of breast cancer cells in metastatic processes, with bone identified as a key target for metastasis. They found a positive correlation between RUNX2 expression and the risk of bone-specific metastasis in breast cancer patients with negative lymph nodes. Xiao-Qing and colleagues emphasized that RUNX2 is a critical transcription factor for osteogenic lineage commitment, activating osteoblast-specific cis-acting elements, and is expressed in breast cancer cell lines with high metastatic potential to bone [ 32 ].
Furthermore, a significant association was observed between increased RUNX2 expression and tumor stage in breast cancer patients (p = 0.008). The statistical analyses corroborate previous research findings in this area. Therefore, examining RUNX2 expression levels could serve as a weak prognostic indicator, as noted in studies by Yang et al. [33], Leong et al. [34], and Gokulnath et al. [ 35 ]. Their results indicate that elevated and aberrant expression of RUNX2 correlates significantly with poor prognosis in breast cancer, which also can confirm our results.
Additionally, the present study examined RUNX2 expression across different tumor grades in breast cancer. RUNX2 expression was notably higher in grade 3 tumors compared to grade 2 tumors. A strong correlation was observed between elevated RUNX2 expression levels and increasing tumor grade (p = 0.0067), consistent with previous studies findings, and Yoshiaki Onodera and their colleagues obtained results as before mentioned (their results published in the Cancer Science Journal, in 2010, Ref; 32).
Given that prior research has established the role of RUNX2 as a crucial transcription factor in osteogenic differentiation, its aberrant expression is critically involved in the aggressiveness and progression of breast carcinoma to bone [ 36 ]. Therefore, maintaining balanced RUNX2 expression is vital in preventing the aggressiveness of breast tumor cells and tumor formation in other body regions, particularly in bones [ 37 ]. Studies have indicated that RUNX2 expression also in a more aggressive breast cancer subgroup, especially in triple-negative cases, is associated with drug resistance and estrogen receptor signaling pathways [ 38 ].
Notably, increased and decreased RUNX2 expression can lead to reduced osteoclast differentiation, facilitating the progression of bone metastasis and the formation of secondary tumors. Given the key role of RUNX2 in the differentiation of bone cells, investigating this gene may serve as an appropriate indicator for examining hidden metastases in tumor cells and lymph nodes of patients who have not yet exhibited identifiable pathological changes. Future follow-up studies could further clarify the accuracy and sensitivity of this molecular assessment.
In conclusion, RUNX2 is a crucial factor regulating various physiological and pathological conditions. Numerous studies have demonstrated a correlation between elevated RUNX2 expression levels and poor prognosis across a range of cancers. For health care worker, it can be informative that increased RUNX2 expression enhances the potential for breast cancer development and metastasis in patients with breast cancer.
Author Contribution Statement
AM: is the principal investigator in the study, MR: laboratory manipulation, MR and NM: Concept, Data acquisition, Data analysis, Manuscript preparation. AAK: Concept, Research. ZS, RG: Literature search. EPZ: Manuscript editing. SS and MM: Manuscript formatting according to the Journal requirement. MT: contributed to drafting preliminary. All the authors contributed to the critical review, the approval of the final version and agreed to be responsible for all aspects of the work.
Acknowledgements
Approval
It is approved grant by IR.SBMU.RETECH.REC.1403.110. Shahid Beheshti University of Medical Sciences. Tehran Iran, and was conducted in agreement with the ethical guidelines of the Declaration of Helsinki.
Ethical declaration
Shahid Beheshti University of Medical Sciences. Tehran Iran.
Conflicts of Interest
None.
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