Literature DB >> 29731906

Expression level of CDC2 gene in osteosarcoma and its clinical significance.

Gang Hou1, Biying Chen1, Wenbin Xu1, Huiqing Zhao1, Kaihua Liu1, Hui Yao1.   

Abstract

The aim of the present study was to investigate the expression of cell division cycle gene 2 (CDC2) in osteosarcoma tissues and its clinical significance. Specimens of cancer tissues, paracancerous tissues and serum from 47 patients hospitalized at the Department of Orthopedics at The Third Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) from January, 2010 to January, 2015 and serum from 35 normal subjects were collected. The expression of CDC2 mRNA was evaluated using quantitative polymerase chain reaction (RT-PCR) and the relationship between CDC2 protein expression and clinical features of patients with osteosarcoma was analyzed. There was a significant difference in the expression levels of CDC2 between cancer (2.31±0.306) and paracancerous tissues (0.91±0.251) (P<0.05), and there was a difference in the expression of CDC2 in serum between patients (1.58±0.149) and the normal control group (0.67±0.136). Receiver operating characteristic (ROC) curve analysis indicated that CDC2 was of great value in the diagnosis of osteosarcoma. The expression of CDC2 was closely related to the tumor diameter (P<0.05), World Health Organization classification (P<0.05) and KPS score (P<0.05). However, there was no significant association between the expression of CDC2 and factors including age and sex (both P>0.05). The high expression of CDC2 was closely related to the lower survival rate in patients with osteosarcoma (P<0.05). The increase of the tumor-node-metastasis (TNM) staging of osteosarcoma and the high expression of CDC2 are the risk factors affecting the prognosis of osteosarcoma patients (P<0.05), and Cox regression analysis showed that the expression level of CDC2 was a risk factor affecting the prognosis of osteosarcoma patients (P<0.05). The results indicate that CDC2 is highly expressed in osteosarcoma and may be a biomarker to predict the occurrence, development and prognosis of osteosarcoma.

Entities:  

Keywords:  Cox regression analysis; cell division cycle gene 2; osteosarcoma; receiver operating characteristic

Year:  2018        PMID: 29731906      PMCID: PMC5920721          DOI: 10.3892/ol.2018.8307

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Osteosarcoma is a very common osteoblast malignant tumor, which is prone to metastasis, especially lung tissue metastasis. It is highly malignant and the prognosis is not satisfactory (1,2). Two to three out of one million individuals suffer from osteosarcoma each year, mainly male minors. The treatment methods are becoming increasingly advanced and the prognosis of the patient has improved obviously since the 1870s (3). The currently used comprehensive treatment mode is preoperative chemotherapy-surgery-postoperative adjuvant chemotherapy and the highest 5-year survival rate of the patients has reached 80%. Nevertheless, there are patients who die after treatment failure (4). More research is needed to further understand the occurrence and the development of osteosarcoma, the pathogenesis of osteosarcoma, the development of the disease and the transfer mechanism to identify an ideal therapeutic target. The human cell division cycle gene 2 (CDC2), and its encoded cyclin CDC2 protein participates in regulating the transition of phase G2 into phase M in the interphase of mitosis (5,6). The pathogenesis and progression of cancer are related to the abnormal regulation of the cell cycle, and there is a high expression of CDC2 in many malignant tumors (7–18). However, there is less research on the expression level and clinical significance of CDC2 in osteosarcoma (19). In the present study, quantitative polymerase chain reaction (RT-PCR) was used to detect the expression of CDC2 in order to explore its clinical significance.

Materials and methods

Clinical data

Specimens of cancer, paracancerous tissues and serum from 47 patients hospitalized at the Department of Orthopedics at The Third Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) from January, 2010 to January, 2015 and serum of 35 normal subjects were collected. The expression of CDC2 was detected via PCR and the relationship between CDC2 expression and clinical features of patients with osteosarcoma was analyzed. The instruments and reagents used in this study are shown in Table I. The study was approved by the Ethics Committee of The Third Affiliated Hospital of Sun Yat-sen University, and the patient or their families signed informed consent.
Table I.

Instruments and reagents.

Instruments and reagentsManufacturer
PCR instrumentApplied Biosystems; Thermo Fisher Scientific, Inc. (Waltham, MA, USA)
Spectrophotometer SMA5000Merinton Instrument, Inc. (Ann Arbor, MI, USA)
Reverse transcription kitFermentas; Thermo Fisher Scientific, Inc.
U6 internal referenceGuangzhou Shangeng Biological Technology Co., Ltd. (Guangzhou, China)
100 bp DNA MarkerTiangen Biotech Co., Ltd. (Beijing, China)
2X Taq PCR MasterMixTiangen Biotech Co., Ltd.
TRIzolTiangen Biotech Co., Ltd.
DEPCSigma Sigma-Aldrich; Merck KGaA (Darmstadt, Germany)

PCR, polymerase chain reaction; DEPC, diethyl pyrocarbonate.

Detection of the CDC2 expression via RT-PCR

CDC2 was extracted from tissues and serum in strict accordance with the instructions provided by Sigma-Aldrich (St. Louis, MO, USA) and Merck KGaA (Darmstadt, Germany), respectively, and the purity of RNA was expressed by the ratio of the absorbance value from 260 to 280 nm. Purity was satisfactory if the result was between 1.9 and 2.1; otherwise, the purification was repeated until it was up to the standard.

RT-PCR

The experiment was conducted in strict accordance with the instructions of reverse transcription kits (Fermentas; Thermo Fisher Scientific, Inc., Waltham, MA, USA). The PCR reaction system was measured as: 25 µl, CDC2 annealing at 53°C, 25 cycles. Primer sequences are shown in Table II. For the statistical analysis, three parallel wells were set for all samples, and the average was taken. With U6 as the internal reference, the relative expression level of CDC2 was expressed as 2−ΔΔCq.
Table II.

Primer sequences.

PrimerU6 internal referenceCDC2
F5′-CTCGCTTCGGCAGCACA-35′-TACCTATGGAGTTGTGTATAA-3′
R5′-AACGCTTCACGAATTTGCGT-3′5’′-ATTCCACTTCTGGCCACACTT-3′

F, forward; R, reverse; CDC2, cell division cycle gene 2.

Statistical analysis

SPSS 22.0 (IBM Corp., Armonk, NY, USA) was used for data analysis. The post hoc test was SNK test. Measurement data are presented as mean ± SD, and the analysis of variance was used for the comparison among groups. The t-test was used for the comparisons of CDC2 expression levels in specimens of cancer, paracancerous tissues and serum and the serum of 35 normal subjects, and the Chi-square test was used for the comparison of parametres including sex and age. The receiver operating characteristic (ROC) curve was drawn to assess the diagnosis value of serum CDC2 in patients with osteosarcoma and the relationship between CDC2 and osteosarcoma was analyzed via univariate and multivariate Cox regression analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

Expression levels of CDC2 in tissues, cells and blood

CDC2 was highly expressed in cancer tissues, which was higher than that in paracancerous tissues (P<0.05). The expression level in the blood of patients was higher than that in normal subjects (P>0.05). The ROC curve analysis revealed that CDC2 had a high value in the diagnosis of osteosarcoma (AUC = 0.785, 95% CI = 0.729–0.834) (Fig. 1 and Table IIIA and B).
Figure 1.

ROC curve of diagnosis of osteosarcoma via CDC2. AUC =0.785 with a high diagnostic value. ROC, receiver operating characteristic; CDC2, cell division cycle gene 2.

Table III.

Expression levels of CDC2 in tissues and blood.

A, Tissue
Cancer tissueParacancerous tissueP-value
2.31±0.3060.91±0.2510.013

B, Blood

PatientNormal subjectP-value
1.58±0.1490.67±0.1360.024

CDC2, cell division cycle gene 2.

Clinical features of 47 patients with osteosarcoma

Of the 47 patients, 23 cases were osteoblastic; 13 were osteogenic; and 11, were fibroblastic osteosarcoma, respectively. In osteosarcoma cells, the expression level of CDC2 had no difference in terms of sex, age and occurrence site (P>0.05). Osteosarcoma was divided into 3 levels: Parosteal (I), periosteal (II) and conventional osteosarcoma (III) according to the fourth edition of World Health Organization (WHO) bone tumor classification. The expression level of CDC2 was increased with the increase of level (P<0.05). KPS was scored according to the evaluation standards of physical condition (20). The results showed that the expression level of CDC2 was increasingly higher with the decrease of KPS score. The CDC2 expression level was closely associated with tumor diameter (P<0.05). Finally, the expression level of CDC2 was increased with the increase of tumor lymph nodes metastasis (TNM) staging (P<0.05) (Table IV).
Table IV.

Clinical characteristics of 447 patients with osteosarcoma.

ItemNo.CDC2 expression levelP-value
Sex
  Male312.38±0.3170.685
  Female162.24±0.305
Age (years)
  <12252.31±0.3130.314
  ≥12221.91±0.206
Histological subtypes
  Osteoblastic osteosarcoma232.11±0.3310.412
  Osteogenic osteosarcoma131.98±0.285
  Fibroblastic osteosarcoma112.06±0.446
KPS score
  <70303.01±0.3630.032
  ≥70171.81±0.106
Tumor location
  Upper limb bone92.43±0.2780.647
  Lower limb bone382.31±0.306
Tumor size (cm)
  <10362.84±0.2670.042
  ≥10111.94±0.348
WHO classification
    I151.57±0.124
    II242.79±0.2170.039
    III81.97±0.135
TNM staging
  I/II351.65±0.1520.035
  III/IV122.87±0.225
Pathological fracture
  Yes112.48±0.1650.752
  No362.74±0.274

CDC2, cell division cycle gene 2, TNM, tumor lymph nodes metastasis; WHO, World Health Organization.

Association of TNM staging and CDC2 level with survival rate of patients and its effect on prognosis

The median expression level of CDC2 in 47 patients with osteosarcoma was 2.49. Thus, the patients were divided into the high-expression CDC2 (>2.49) and low-expression CDC2 (<2.49) groups. The univariate and multivariate Cox regression analysis revealed that the increase of the TNM staging of osteosarcoma and the high expression of CDC2 were both risk factors affecting the prognosis of osteosarcoma patients (P<0.05) (Table V).
Table V.

Univariate and multivariate analysis.

VariablesUnivariate HR (95%CI)Multivariate P-valueHR (95%CI)P-value
CDC2 (low vs. high)1.647 (1.122–2.896)0.0091.969 (0.9505–4.0765)0.012
Age (<12 vs. ≥12 years)1.014 (0.999–1.029)0.062
Sex (male vs. female)0.819
(0.277–2.424)0.788
Diameter of tumor (<10 vs. ≥10 cm)0.812
(0.357–1.847)0.682
Tumor site2.2611
(Upper vs. lower limb bone)
(0.9821–147.3)0.052
TNM staging3.064
(1.282–7.323)0.0281.268 (0.918–2.471)0.041

CDC2, cell division cycle gene 2, TNM, tumor lymph nodes metastasis.

Discussion

Since the 21st century, it has been found (21) that the abnormal regulation of cell cycle is one of the most important causes of tumor. Researchers have concluded that cancer is a progressive disease that is caused by the destruction of the cell cycle regulation mechanism, and many genes are found to be involved in the cell cycle regulation, providing many important targets for the treatment of cancer (22). CDC (23) is one of the genes that has been identified, the most important being CDC2, and the CDC2 kinase (24) encoded by it controls the beginning of the cell cycle and the transition from the G2 to the M phase. The cell cycle checkpoint regulates various cell regulators, thus completing the mitosis of cells. Previous findings have shown that the disruption of the function of the cell cycle checkpoint may lead to malignant differentiation of cells and produce tumors (25). In the present study, the expression of CDC2 in cancer, paracancerous tissues and serum from patients and normal controls were detected via RT-PCR. The results showed that, there was a significant difference in the expression level of CDC2 between cancer and paracancerous tissues (P<0.05), as well as the serum in patients and the normal control group (P<0.05). It was also found that a high CDC2 expression may interfere with normal cell growth and differentiation and cause malignant cell proliferation, and the detection of CDC2 expression in serum may predict the occurrence of osteosarcoma. Leijen et al (21) found that the function of the tumor cell checkpoint is incomplete and can trigger an automatic interlocking feedback loop, which leads to further malignant cell growth. The expression level of CDC2 was closely associated with tumor diameter, WHO grading and KPS score, indicating that the expression level of CDC2 is closely associated with the occurrence and development of osteosarcoma. Chae et al (26) reported that the expression of CDC2 is significantly different between benign and malignant breast lesions, and the increase of CDC2 levels is associated with tumor invasiveness. The results in the present study also showed that the expression level of CDC2 was associated with the TNM staging of osteosarcoma (P<0.05), suggesting that a high expression of CDC2 in osteosarcoma may promote the development of osteosarcoma, and the detection of CDC2 expression in serum may predict the development of osteosarcoma. Yang et al (27) found that CDC2 is associated with squamous cell carcinoma of the larynx. The multivariate Cox regression analysis of the prognosis of osteosarcoma patients revealed that the expression level of CDC2 was a risk factor affecting the prognosis of patients with osteosarcoma (P<0.05), making it possible to predict the prognosis of osteosarcoma by detecting the CDC2 expression level in serum. Jansen et al (18) found that CDC2 plays a crucial role in G2 cell cycle progression and cell proliferation, and CDC2 may be considered as a prognostic marker for metastatic breast cancer. Since no relevant reports are currently available to confirm the clinical significance of CDC2 expression in osteosarcoma, and the sample size was small in this study with a lack of representativeness, a larger number of samples are needed to confirm the findings. In this study, whether patients received chemotherapy and radiotherapy was not recorded; thus, further verification is needed in future research. Collectively, CDC2 is highly expressed in osteosarcoma tumor cells. A high expression of CDC2 may be involved in the process of tumor development and progression, which leads to disordered mitosis and malignant proliferation of cells. The detection of CDC2 expression in serum may predict the occurrence, development and prognosis of osteosarcoma.
  26 in total

1.  Antiproliferation potential of withaferin A on human osteosarcoma cells via the inhibition of G2/M checkpoint proteins.

Authors:  Ting-Zhuo Lv; Guang-Shun Wang
Journal:  Exp Ther Med       Date:  2015-05-07       Impact factor: 2.447

2.  Overexpressions of Cyclin B1, cdc2, p16 and p53 in human breast cancer: the clinicopathologic correlations and prognostic implications.

Authors:  Seoung Wan Chae; Jin Hee Sohn; Dong-Hoon Kim; Yoon Jung Choi; Yong Lai Park; Kyungeun Kim; Young Hye Cho; Jung-Soo Pyo; Jun Ho Kim
Journal:  Yonsei Med J       Date:  2011-05       Impact factor: 2.759

3.  Silencing FAT10 inhibits metastasis of osteosarcoma.

Authors:  Chengbin Ma; Zhiyu Zhang; Yan Cui; Hongmou Yuan; Feng Wang
Journal:  Int J Oncol       Date:  2016-06-01       Impact factor: 5.650

4.  Long non-coding RNA MALAT1 is an independent prognostic factor of osteosarcoma.

Authors:  K-T Gao; D Lian
Journal:  Eur Rev Med Pharmacol Sci       Date:  2016-09       Impact factor: 3.507

5.  The cyclin-dependent kinase PITSLRE/CDK11 is required for successful autophagy.

Authors:  Simon Wilkinson; Daniel R Croft; Jim O'Prey; Arenda Meedendorp; Margaret O'Prey; Christine Dufès; Kevin M Ryan
Journal:  Autophagy       Date:  2011-11-01       Impact factor: 16.016

6.  Jaridonin-induced G2/M phase arrest in human esophageal cancer cells is caused by reactive oxygen species-dependent Cdc2-tyr15 phosphorylation via ATM-Chk1/2-Cdc25C pathway.

Authors:  Yong-Cheng Ma; Nan Su; Xiao-Jing Shi; Wen Zhao; Yu Ke; Xiaolin Zi; Ning-Min Zhao; Yu-Hua Qin; Hong-Wei Zhao; Hong-Min Liu
Journal:  Toxicol Appl Pharmacol       Date:  2014-11-20       Impact factor: 4.219

7.  Expression and function of PIM kinases in osteosarcoma.

Authors:  Shuai Mou; Guangbin Wang; Ding Ding; Dongdong Yu; Yi Pei; Songling Teng; Qin Fu
Journal:  Int J Oncol       Date:  2016-09-26       Impact factor: 5.650

8.  Screening of diagnostic markers for osteosarcoma.

Authors:  Dajiang Wu; Kai Chen; Yushu Bai; Xiaodong Zhu; Ziqiang Chen; Chuanfeng Wang; Yingchuan Zhao; Ming Li
Journal:  Mol Med Rep       Date:  2014-09-08       Impact factor: 2.952

9.  MicroRNA-33a-5p suppresses growth of osteosarcoma cells and is downregulated in human osteosarcoma.

Authors:  Jufeng Zhang; Daping Wang; Jianyi Xiong; Lei Chen; Jianghong Huang
Journal:  Oncol Lett       Date:  2015-07-17       Impact factor: 2.967

10.  Sulforaphane induced cell cycle arrest in the G2/M phase via the blockade of cyclin B1/CDC2 in human ovarian cancer cells.

Authors:  Chi-Chang Chang; Chao-Ming Hung; Yun-Ru Yang; Mon-Juan Lee; Yi-Chiang Hsu
Journal:  J Ovarian Res       Date:  2013-06-26       Impact factor: 4.234

View more
  3 in total

1.  Downregulation of miR-136 promotes the progression of osteosarcoma and is associated with the prognosis of patients with osteosarcoma.

Authors:  Yanchen Chu; Xiaoli Hu; Guangfeng Wang; Zhijie Wang; Yanjin Wang
Journal:  Oncol Lett       Date:  2019-04-01       Impact factor: 2.967

Review 2.  Identifying critical transitions in complex diseases.

Authors:  Smita Deb; Subhendu Bhandary; Sudipta Kumar Sinha; Mohit Kumar Jolly; Partha Sharathi Dutta
Journal:  J Biosci       Date:  2022       Impact factor: 2.795

3.  A Novel Tanshinone Analog Exerts Anti-Cancer Effects in Prostate Cancer by Inducing Cell Apoptosis, Arresting Cell Cycle at G2 Phase and Blocking Metastatic Ability.

Authors:  Mengling Wang; Xueyi Zeng; Shengyou Li; Zekun Sun; Jia Yu; Chao Chen; Xiangchun Shen; Weidong Pan; Heng Luo
Journal:  Int J Mol Sci       Date:  2019-09-10       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.