Methylation of bone morphogenetic protein 2 is associated with poor prognosis in colorectal cancer
- Authors:
- Published online on: November 13, 2019 https://doi.org/10.3892/ol.2019.11091
- Pages: 229-238
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Copyright: © Miura et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the fourth leading cause of cancer-related death globally (1). The T (tumor), N (node), and M (metastasis) factors of the ‘TNM classification of malignant tumors’ published by the Union for International Cancer Control (UICC) have been accepted as robust predictors of the prognosis of cancer patients and provide the basis for decision-making in CRC treatment strategies (2–4). In contrast, for a more precise stratification of CRC treatment, various prognostic and/or predictive factors have been studied (5,6).
Aberrant methylation of a gene promoter CpG island is an epigenetic change that silences gene expression and is a crucial mechanism that inactivates tumor-suppressor genes and promotes cancer progression (7). The present study focused on DNA methylation and searched for clinically significant tumor-suppressor genes in CRC by screening for candidate genes suspected to be silenced by DNA methylation using microarray analysis. Bone morphogenetic protein 2 (BMP2) was identified as the candidate gene.
BMP2 was detected as a bone morphogenetic factor with activity for inducing bone morphogenesis (8). It belongs to the transforming growth factor (TGF)-β superfamily and plays important roles in generation, cell differentiation, proliferation, and apoptosis (9–11). In CRC, BMP2 has been reported as a tumor-suppressor gene (12). However, the relationship between BMP2 and clinicopathological factors has not been studied in clinical CRC cases.
The present study aimed to investigate the relationship between DNA methylation of BMP2 and clinicopathological factors and prognosis of patients with CRC.
Materials and methods
Identification of the target gene by microarray gene expression analysis
In the current study, the microarray data was used from a previous study (13). The gene expression data are deposited in the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE32323.
Probe sets from cell lines were selected according to the following criteria: i) FC >2.0 compared with that of the CpG island methylator phenotype (CIMP) RKO cell line and ii) up-regulation of gene expression in at least two CRC cell lines. For the paired clinical samples, probe sets were selected for FC of normal versus tumor tissue (N/T) >1.5 (i.e., higher expression in normal tissue than in tumor tissue) (14), and 99 genes (123 probes) that appeared to be suppressed by DNA methylation were identified (Table SI). We examined the published literature and narrowed down candidate genes in the context of genes that are hypermethylated in neoplasms, but the clinical significance of inactivation remained unclear in CRC. Finally, we selected BMP2 as the target gene of interest (Fig. 1).
Cell lines
Seven CRC cell lines (RKO, SW480, HT29, HCT116, COLO201, LoVo, and DLD1) were obtained from the American Type Culture Collection. These cell lines were maintained in Dulbecco's modified Eagle's medium or RPMI1640 medium (Gibco; Thermo Fisher Scientific, Inc.) containing 10% heat-inactivated fetal bovine serum, 100 units/ml of penicillin, 100 µg/ml of streptomycin, 10 mM of HEPES, and 1.0 mM of sodium pyruvate and were incubated at 37°C in 5% CO2. Cultured cells were pelletized and used to isolate total genomic DNA for methylation assay and total RNA for mRNA expression assay.
Patients
This study included primary tumors from 498 patients (290 male and 208 female patients) who underwent curative surgical resection for CRC at Tokyo Medical and Dental University Hospital between 2008 and 2013. Of these 498 patients, 91 had stage I disease, 204 had stage II disease, and 203 had stage III disease. The median patient age was 69.0 years (range, 29–93 years). Patients did not receive any treatment prior to surgery. Postoperative adjuvant chemotherapy was administered to 14 patients with stage II disease (6.9%) and 150 patients with stage III disease (73.9%). The median follow-up period at analysis was 63 months (range, 0–122 months). Samples were included in the methylation assay.
Methylation assay
We used methylation-specific polymerase chain reaction (MSP) to evaluate the methylation status of BMP2 (15). The phenol/chloroform method was used to isolate total genomic DNA from cell lines and surgically resected tumor samples. Bisulfite treatment was performed using the EpiTect Plus DNA Bisulfite kit (Qiagen), according to the manufacturer's instructions. Bisulfite-modified DNA was then used as template DNA for polymerase chain reaction (PCR) amplification with PCR primers corresponding to the region affected by methylation. The methylation-specific and unmethylation-specific primer sequences of BMP2 were based on the results of the study by Wen et al (16). MSP was performed using the EpiTect MSP kit (Qiagen). The PCR conditions of iCycler™ (Bio-Rad Laboratories Inc.) were as follows: 95°C for 10 min; 40 cycles at 94°C for 15 sec, 62°C for 30 sec, and 72°C for 30 sec (methylated) or 40 cycles at 94°C for 15 sec, 58°C for 30 sec, and 72°C for 30 sec (unmethylated); and finally 72°C for 10 min. EpiTect control DNA (Qiagen) was used as a positive control. After amplification, electrophoresis of PCR products was performed using 2.5% agarose gels. When positive amplification was noted with methylation-specific primers, irrespective of whether amplification was detected with unmethylation-specific primers, the tumor was considered as a ‘methylated’ tumor. When no amplification was noted with methylation-specific primers, the tumor was considered as an ‘unmethylated’ tumor.
mRNA expression assay
The mRNA expression level of BMP2 in each cell line was assessed using reverse transcription-quantitative PCR (RT-qPCR). Total RNA was extracted using the RNeasy mini kit (Qiagen). cDNA was synthesized using the High Capacity cDNA Reverse Transcription kit (Applied Biosystems; Thermo Fisher Scientific, Inc.), according to the manufacturer's instructions, with iCycler™ (Bio-Rad Laboratories, Inc.). cDNA was then amplified by PCR using a fluorescence-based real-time detection method with the ABI Prism 7300 real-time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc.), according to the manufacturer's protocol. TaqMan BMP2 and β-actin (ACTB) Gene Expression Assay-on-demand (BMP2 Assay ID, Hs00154192_m1; ACTB Assay ID, Hs99999903_m1; Applied Biosystems; Thermo Fisher Scientific, Inc.) were used for RT-qPCR. The mRNA expression level of BMP2 in each sample was normalized to that of ACTB (internal standard). The relative quantification of BMP2 mRNA expression was performed by the ΔΔCq method using SDS v1.4 with RQv1.0 software (Applied Biosystems; Thermo Fisher Scientific, Inc.) (17). Each analysis was performed in triplicate.
Statistical analysis
The chi-square test was used to estimate differences between the groups. Relapse-free survival (RFS) was calculated from the date of surgery to recurrence or death, whichever occurred first. Overall survival (OS) was calculated from the date of surgery to death from any cause. RFS and OS curves were estimated using the Kaplan-Meier method, and log-rank tests were used to assess treatment differences overall. Factors affecting RFS and OS were examined with univariate and multivariate analyses using the Cox proportional hazards model, and Cox models were used to estimate hazard ratios (HRs) and their confidence intervals (CIs). All statistical analyses were performed using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan), which is a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria). More precisely, it is a modified version of R commander designed to add statistical functions frequently used in biostatistics (18). P<0.05 was considered to indicate a statistically significant difference.
Ethical considerations
This study was conducted in accordance with the Declaration of Helsinki and its later amendments or comparable ethical standards. The study protocol was approved by the Institutional Review Board of Tokyo Medical and Dental University, and written informed consent was obtained from all patients before enrollment.
Results
Identification of BMP2 as a target gene by microarray gene expression analysis
As shown in Fig. 1, the microarray data was used from a previous study (13). We defined ‘candidate genes’ according to the following criteria: i) FC >2.0 compared with that of the CIMP RKO cell line and ii) up-regulation of gene expression in at least two CRC cell lines. For the paired clinical samples, probe sets were selected for FC of normal versus tumor tissue >1.5. 99 candidate genes were identified among the 54,613 probes (Table SI). We examined the published literature for additional analysis of these genes. In order to identify epigenetically affected genes with methylation, we first excluded genes in neoplasm not affected by methylation. In addition, we removed genes with high or unknown expression in neoplasm, genes with hypomethylation or unknown methylation status in neoplasm. We selected BMP2 reported to be a tumor-suppressor gene in CRC and DNA aberrant hypermethylation in neoplasms, but the clinical significance remain unclear as a target gene for further investigation.
BMP2 methylation and mRNA expression in cell lines
MSP was performed in seven CRC cell lines, and BMP2 methylation was detected in the following three cell lines: RKO, HCT116, and COLO201 (Fig. 2A). With regard to mRNA expression detected by RT-qPCR, the expressions in these three cell lines with BMP2 methylation was quite low compared with the expressions in the other four cell lines without BMP2 methylation (Fig. 2B), suggesting that the mRNA expression of BMP2 was down-regulated by DNA hypermethylation.
BMP2 methylation and patient characteristics
The relationships between BMP2 methylation status and important clinicopathological factors are shown in Table I. BMP2 methylation was observed in 302 of the 498 patients (60.6%). BMP2 methylation was associated with positive lymph nodes (P=0.012), venous invasion (P=0.027), and stage III disease (P=0.010). There were no associations of BMP2 methylation with sex, tumor location, histological type, tumor invasion depth, and lymphatic invasion.
BMP2 methylation and prognosis of patients with CRC
The RFS and OS curves of all 498 patients are presented in Fig. 3. The 5-year RFS rates in the methylated BMP2 and unmethylated BMP2 groups were 70.0 and 75.5%, respectively (Fig. 3A). The 5-year OS rates in the methylated BMP2 and unmethylated BMP2 groups were 82.8 and 90.3%, respectively (Fig. 3B). OS tended to be worse in the methylated BMP2 group than in the unmethylated BMP2 group (RFS, P=0.142; OS, P=0.067).
The RFS and OS curves stratified by TNM-stage are presented in Fig. 4. In the stage I and II subgroups, there were no differences in both RFS and OS between the methylated BMP2 and unmethylated BMP2 groups (Fig. 4A-D). On the other hand, in the stage III subgroup, OS was significantly worse and RFS was marginally worse in the methylated BMP2 group than in the unmethylated BMP2 group (P=0.012 and P=0.061, respectively) (Fig. 4E and F).
BMP2 methylation and prognosis of stage III patients
We focused on stage III patients and investigated the impact of BMP2 methylation status on prognosis (Table II). With regard to poor RFS, in the univariate analysis, left-sided colon (P=0.004), high tumor invasion depth (P=0.022), and lymph node metastasis (P=0.003) were identified as risk factors. In the multivariate analysis involving variables with P-values <0.10 in the univariate analysis, high age (HR=1.67; 95% CI, 1.05–2.64; P=0.029), left-sided colon (HR=2.28; 95% CI, 1.34–3.87; P=0.002), high tumor invasion depth (HR=1.73; 95% CI, 1.08–2.77; P=0.022), and lymph node metastasis (HR=1.75; 95% CI, 1.10–2.79; P=0.019) were identified as independent factors for poor RFS. With regard to poor OS, in the univariate analysis, high age (P<0.001), lymph node metastasis (P=0.026), and BMP2 methylation (P=0.016) were risk factors. In the multivariate analysis, high age (HR=2.97; 95% CI, 1.58–5.59; P<0.001), lymph node metastasis (HR=1.96; 95% CI, 1.05–3.66; P=0.035), and BMP2 methylation (HR=2.36; 95% CI, 1.04–5.39; P=0.041) were identified as independent factors for poor OS.
As the prognostic impact of sidedness has attracted attention in recent years, we investigated the relationship between BMP2 methylation status and prognosis according to the sidedness of the primary tumor (19). In right-sided colon cancer patients, there were no differences in both RFS and OS between the methylated and unmethylated BMP2 groups (Fig. 5A and B). On the other hand, in left-sided colon cancer patients, RFS and OS were significantly worse in the methylated BMP2 group than in the unmethylated group (RFS, P=0.048; OS, P=0.031; Fig. 5C and D).
Discussion
To our knowledge, this is the first report to demonstrate that BMP2 methylation affects the clinical outcomes of CRC patients. Among 498 study patients with curatively resected stage I–III CRC, BMP2 methylation was observed in 60%, and it was more common in patients with lymph node metastasis and venous invasion. In addition, patients with BMP2 methylation and stage III disease, especially left-sided CRC, had a poor prognosis.
BMP2, a member of the TGF-β superfamily, exerts its effect via two types of transmembrane serine/threonine kinase receptors [BMP receptor type I (BMPRI) and II (BMPRII)]. BMP2 induces the recapitulation of endochondral bone formation when appropriate undifferentiated cells are exposed to it. Additionally, BMPs, including BMP2, are found in many tissues, and they perform physiological functions (20). When BMP2 binds to BMPRII, BMPRI is phosphorylated and the downstream signaling is activated via the Sma- and Mad-related (Smad) protein (Smad1/5/8). Phosphorylated Smad1/5/8 subsequently forms complexes with Smad4, translocates to the nucleus, and finally regulates transcription in cooperation with transcriptional factors (11,21). Through this Smad signaling pathway, BMP2 stimulates p21CIP1/WAF1, a cell cycle inhibitor that blocks the activity of cyclin-dependent kinase (CDK). Inhibition of CDK suppresses the phosphorylation of Rb, a transcriptional regulator, and then causes cell cycle arrest at the G1 or G0 phase (11). BMP2 has been also reported to induce apoptosis; however, the details of the mechanism are still unclear (12,22). Based on these findings, BMP2 was reported as a tumor-suppressor gene in various cancers, including CRC, and its down-regulation was suggested to be involved in cancer progression (10,12,22–25). Furthermore, in several malignancies, down-regulation of BMP2 was reported to be caused by DNA promoter methylation (16,26). In CRC, DNA aberrant hypermethylation in the promoter region of BMP2 has been reported previously (27). In the present study, BMP2 methylation was observed in 60% of patients, suggesting that it played an important role in cancer progression.
Du et al (26) reported that BMP2 methylation was related to chemoresistance in breast cancer patients. Additionally, Mitsui et al (22) reported that BMP2 methylation had an impact on the prognosis of patients with renal cell carcinoma. With regard to CRC, a correlation between BMP2 and chemoresistance was previously reported in in vitro studies (25,27). However, no report has assessed the impact of BMP2 methylation on clinical outcomes in CRC patients.
There are some possible reasons why the outcomes in the methylated BMP2 group were poor among stage III patients. First, the efficacy of adjuvant chemotherapy might be low in patients with BMP2 methylation. As mentioned above, a correlation between BMP2 methylation and chemoresistance has been presumed in previous reports (25,26). In our exploratory analysis using a small subset of stage III patients with adjuvant chemotherapy, the methylated BMP2 group (n=97) had a higher recurrence rate and worse OS when compared with the findings in the unmethylated group (n=53) (recurrence rate, 38.1% vs. 26.4%; OS, P=0.039). However, there was no difference in survival between the methylated and unmethylated BMP2 groups among patients without adjuvant chemotherapy (data not shown). Second, clinical outcomes after recurrence might be related to the methylation status of BMP2. In our series of stage III patients, survival time after recurrence was significantly shorter in the methylated BMP2 group (n=53) than in the unmethylated group (n=18), and the median survival times were 26 and 44 months in the methylated and unmethylated BMP2 groups, respectively (P=0.033, data not shown). As there was no difference in the site of recurrence such as liver, lung and others, or resection rate after recurrence, it is presumed that there was a difference in the effect of chemotherapy after recurrence between the two groups. A further study on the impact of BMP2 methylation using a larger cohort is required.
Recently, it has been reported that the molecular profile and biological characteristics of CRC can vary according to the sidedness of the tumor, and the primary tumor location is one of the promising prognostic factors (19). In our study, with a focus on the sidedness in stage III disease, RFS and OS were significantly worse in the methylated BMP2 group than in the unmethylated BMP2 group among stage III patients with left-sided CRC. One possible reason for these findings might be the correlation between the BMP2 signaling pathway and molecular characteristics of left-sided CRC. Smad4 loss and p53 have been reported to be more common in left-sided colon cancer (28–30). In cases of Smad4 loss and/or p53 mutation, the expression of p21CIP1/WAF1 is presumed to be suppressed (31). Therefore, when a tumor has BMP2 methylation and Smad4 loss/p53 mutation, cell cycle regulation by p21CIP1/WAF1 might reduce, which could be an advantage for cancer progression.
We have some future perspectives for the clinical use of BMP2 methylation. First, BMP2 methylation might be useful for the pre-treatment prediction of lymph node metastasis. Our results indicated that BMP2 methylation in the primary tumor was associated with lymph node metastasis. If lymph node metastasis can be predicted with absolute accuracy by checking BMP2 methylation in biopsy specimens or endoscopically resected T1 tumors, it will be quite useful for deciding whether radical surgery with lymph node dissection should be recommended, which will have a great clinical impact. In our small series of surgically resected T1 cases with a positive lymph node (n=12), BMP2 methylation of primary tumor tissue was observed in 11 cases (91.7%) (data not shown). For the clinical use of the BMP2 methylation status in lymph node metastasis prediction, future studies involving a large number of T1 cancer cases and a prospective cohort are needed. Second, BMP2 methylation, as a risk factor for recurrence and short survival, might be useful for decision making with regard to the treatment strategy. It might be better to follow CRC patients with BMP2 methylation very closely, as BMP2 methylation is a poor prognostic factor. Furthermore, the development of a BMP2 demethylating agent in the future might help in CRC treatment.
The present study had several limitations. First, we cannot exclude the possibility of bias owing to the retrospective and single institutional selection of the study population. Further multicenter collaborative prospective studies are required to confirm the results of the present study. Second, the number of CpG sites that we analyzed was small. Future methylation studies for BMP2 in CRC are required to confirm our results. Third, we did not assess the methylation status of BMP2 in normal colon cell lines.
In conclusion, DNA hypermethylation of BMP2 is a poor prognostic factor in patients with stage III disease, especially those with left-sided stage III CRC. BMP2 methylation might be a biomarker for prognosis prediction and treatment decision-making; however, further studies are needed.
Supplementary Material
Supporting Data
Acknowledgements
The authors thank Mrs. Yoko Takagi and Mrs. Junko Inoue (Department of Specialized Surgeries, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 113-8519, Japan) for their excellent technical assistance.
Funding
No funding was received.
Availability of data and materials
All data generated or analyzed during the present study are included in this published article. The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32323).
Authors' contributions
TYM, TI, MI, SY, TM and HU were involved in the conception and design of the study, and development of the methodology. TYM performed the experiments and collected clinicopathological data. TYM, TI and MI analyzed the results. TYM, TI, MI and SO edited the manuscript. TI, MI, SO, HB, AK, SY, TMa, HU and YK assisted with all assays and analyses and in manuscript preparation. TI, MI, SO, HB, AK, SY, TM, HU and YK supervised the study. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The present study was conducted in accordance with the Declaration of Helsinki and its later amendments or comparable ethical standards. The study protocol was approved by the Institutional Review Board of Tokyo Medical and Dental University, and written informed consent was obtained from all patients before enrollment.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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