Skip to main content
International Journal of Clinical and Experimental Pathology logoLink to International Journal of Clinical and Experimental Pathology
. 2015 Aug 1;8(8):9314–9319.

Down-regulation of microRNA152 is associated with the diagnosis and prognosis of patients with osteosarcoma

Nai-Guo Wang 1, Da-Chuan Wang 1, Bing-Yi Tan 1, Feng Wang 1, Ze-Nong Yuan 1
PMCID: PMC4583914  PMID: 26464682

Abstract

Potential values of microRNA152 (miR-152) as a serum diagnostic and prognostic biomarker have not been determined in human osteosarcoma. By detecting the expression of miR-152 among 80 osteosarcoma patients, 20 periostitis patients and 20 healthy individuals using qRT-PCR, we aimed to explore the clinical significance of miR-152 in osteosarcoma patients. The expression of miR-152 was significantly decreased in patients with osteosarcoma compared to patients with periostitis (P<0.01) and healthy controls (P<0.01). The relationship between clinicopathologic characteristics and miR-152 was analyzed by chi-square test. The outcome indicated that miR-152 might be linked with the development of osteosarcoma. Moreover, the receiver operating characteristic (ROC) curve was performed to estimate the diagnostic value of miR-152. The result demonstrated that miR-152 might be a promising diagnostic marker of osteosarcoma with an AUC of 0.956, combing with 92.5% specificity and 96.2% sensitivity. The relationship between miR-152 and overall survival of osteosarcoma patients was analyzed by Kaplan-Meier curve and log rank test. As a result, the survival time of patients with low miR-152 expression was significantly shorter than those with high miR-152 expression (P<0.001). Then Cox regression analysis was used to estimate the prognostic value of miR-152 in osteosarcoma. The outcomes showed that low miR-152 expression (P=0.004) might be a potential independent prognostic marker for osteosarcoma patients. These findings suggested that down-regulation of miR-152 could be considered as a predictor for diagnosis and prognosis of osteosarcoma patients.

Keywords: miR-152, osteosarcoma, diagnosis, prognosis

Introduction

Human osteosarcoma is a primary cause of cancer-associated death deriving from the proximal tibia or the distal femur and mostly occurs in children and young adults [1,2]. The main therapies of osteosarcoma include chemotherapy, radiotherapy and tumor excision strategies. However, there are still a high risk of distant metastasis and local relapse even after complete surgical resection for osteosarcoma patients [3]. It has been reported that 50% patients with osteosarcoma suffer metastasize bringing a low cure rate and a low 5-years’ survival rate [4]. During the past decades, the 5-year survival rates have apparently raised to approximately 60%-70% as the development of combined therapies [5]. Although a few molecular targeted drugs have been confirmed to be related to tumor genesis, osteosarcoma treatments have not been well set up. Besides, strategy on the diagnosis and prognosis about osteosarcoma is still poor, and the molecular mechanism of osteosarcoma genesis remains unclear. Therefore, the identification of novel diagnostic and prognostic biomarkers is rather significant for improving the clinical outcome of osteosarcoma patients.

MicroRNAs (miRNAs) are a class of highly conserved, short and small (18-24 nucleotides) non-coding RNAs that play essential roles on the regulation of gene expression. Abnormal expression of miRNAs was observed in human osteosarcoma tumor and was corresponded with cellular processes including apoptosis, invasion, cycling and proliferation [6-9]. Furthermore, remarkably stable expression patterns of miRNAs were found in plasmas and serums, suggesting miRNAs to be potential diagnostic and prognostic implements for human cancers [8,10,11]. MicroRNA-152 (miR-152), a member of miR-148/152 family that participates into a series of cellular activities such as cell proliferation, invasion and angiogenesis [12,13]. Down-expression of miR-152 was related to distant metastasis and survival time in many diseases, including oropharyngeal carcinoma and endometrial serous adenocarcinomas [14,15]. Yet, the clinical and pathological significance of miR-152 in human osteosarcoma remains unknown.

In the present study, we aimed to systematically detect the expression of miR-152 in osteosarcoma patients and control subjects by qRT-PCR. Meanwhile, intended to analyze the diagnosis and prognosis value of miR-152 in osteosarcoma patients.

Materials and methods

Sample collection

Our study protocol was recognized by Research Ethics Committee in Shenyang Orthopedic Hospital. We obtained written informed consents from each participant. Osteosarcoma samples (tissues and corresponding serums) were collected from 80 patients diagnosed as osteosarcoma in Shenyang Orthopedic Hospital. 20 patients with periostitis and 20 healthy people matching with the ages of osteosarcoma patients were recruited as controls. The selecting of cases was complied with the standard of diagnosis performance. Meanwhile, the patients had never received any chemotherapy or radiotherapy before operation.

The tissues and serum from osteosarcoma patients, periostitis patients and healthy people were extracted, respectively. Then the tissues were frozen in liquid nitrogen and stored at -80°C for RNA extraction. The serum samples were put into blood collection tube of EDTA and stored at -80°C for RNA extraction.

Quantitative real-time polymerase chain reaction (qRT-PCR)

RNA extraction was performed from fresh serum and tissues following the instructions of a miRcute miRNA isolation kit (Tiangen, Beijing city, China). Then cDNA synthesis kit (Qiagen, Germany) was carried out to conduct reverse transcription. qRT-PCR reaction was performed in the Applied Biosystems 7900 Fast Real-Time PCR system (Applied Biosystems, Foster City, California, USA). The expression of miR-152 was normalized using an internal standard U6. The 2-ΔΔCt method was used to calculate the quantity of miR-152. Moreover, all experiments were operated in triplicate.

Follow-up

A 5-year follow-up was conducted for the osteosarcoma patients. The information of follow-up was gotten by outpatient visits or telephone calls and updated every three months. Patients who died of unexpected occurrences or other diseases were excluded from our study. The overall survival time was defined from the diagnosis day to the time of death.

Statistical analysis

All variables were expressed as mean ± SD. The statistical analyses and the design of figures were executed using SPSS 20.0 (SPSS Inc., Chicago, USA) and GraphPad Software (San Diego, CA, USA). The one-way ANOVA assay was used to compare the variances of miR-152 expression in osteosarcoma patients, periostitis patients and healthy people. Diagnostic accuracy of miR-152 was assessed employing receiver operating characteristic (ROC) curve. The relationship between the clinicopathologic characteristics and miR-152 was estimated by chi-square test. Associations between overall survival and serum miR-152 expression were evaluated using Kaplan-Meier analysis according to log rank test. Cox regression was carried out to determine the prognostic effects of each clinical characteristic. The value of P less than 0.05 was considered to be statistically significant.

Results

miR-152 was low expression in osteosarcoma patients

miR-152 expression levels both in tissues and serum were detected in 120 individuals (including 80 osteosarcoma patients, 20 healthy subjects and 20 periostitis patients) by qRT-PCR. Significant down-expression of miR-152 was observed in osteosarcoma patients compared with control samples (Figure 1).

Figure 1.

Figure 1

Relative expression levels of miR-152 in 20 normal controls, 20 periostitis patients and 80 osteosarcoma patients which were examined using qRT-PCR assay. U6 was served as internal controls and all experiments were performed in triplicate.

Relationship between clinicopathologic characteristics and miR-152 expression in osteosarcoma patients

Relative miR-152 expression in osteosarcoma patients was associated with several clinicopathologic characteristics. We obtained the conclusion that the expression of miR-152 was influenced by distant metastasis (P=0.000) and Enneking (P=0.000). Yet, there was no dramaticly correlation between miR-152 levels and gender, age, tumor size or tumor location of osteosarcoma patients (P>0.05) (Table 1).

Table 1.

The relationship between miR-152 expression and clinicopathologic characteristics in osteosarcoma patients

Parameters Cases (n) miR-152 expression P value

High-expression (n) Low-expression (n)
Gender 0.142
    Male 40 19 21
    Female 40 21 19
Age 0.403
    ≤ 19 40 20 20
    > 19 40 20 20
Tumor size 0.741
    < 8 cm 41 21 20
    ≥ 8 cm 39 19 20
Tumor location 0.802
    Femur 40 21 19
    Tibia 40 19 21
Enneking 0.000*
    I A 17 0 17
    II A 28 17 11
    II B 19 17 2
    III 16 6 10
Distant metastasis 0.000*
    Absent 68 39 29
    Present 12 1 11
*

notes statistical significance of P values.

Diagnostic value of serum miR-152 marker

A receiver operating characteristic (ROC) curve was built to estimate the diagnostic value of serum miR-152. The AUC of 0.956 was obtained according to ROC assay. Besides, the specificity was 92.5% and the sensitivity was 96.2% with an optimal cut-off value of 3.500 (Figure 2).

Figure 2.

Figure 2

Receiver Operating Characteristic (ROC) was established to analyze the diagnostic value of miR-152. The AUC was 0.956 with a specificity of 92.5% and sensitivity of 96.2%.

Association between miR-152 and overall survival time of osteosarcoma patients

The Kaplan-Meier curve was performed for osteosarcoma patients. As displayed in Figure 3, the survival time of patients with low miR-152 expression was shorter than those with high miR-152 expression. The prognostic roles of miR-152 and clinicopathologic characteristics were analyzed through Cox regression analysis. Enneking stage (HR=7.767; P=0.023) and serum miR-152 levels (HR=0.126; P=0.004) (Table 2) were verified to be important prognostic factors and they might be as independent biomarkers in osteosarcoma patients.

Figure 3.

Figure 3

Kaplan-Meier curves showed the relationship between overall survival and miR-152 in osteosarcoma patients. Log rank test was used to compute P values.

Table 2.

Multivariate analyses for prognostic factors in patients with osteosarcoma

Characteristic HR 95% CI P
Enneking 7.767 1.326-45.493 0.023
miR-152 0.126 0.023-0.701 0.004

Discussion

Osteosarcoma is a differentiation disease caused by genetic changes that interrupt osteoblast differentiation from mesenchymal stem cells [16]. The cure rate of osteosarcoma is less than 65% for localized osteosarcoma patients, but it often happens with metastases when osteosarcoma is diagnosed which leads to a poor prognosis [17]. Therefore, the discovery of appropriate biomarkers for the diagnosis and prognosis of osteosarcoma is significant. Many molecular markers have proven diagnostic or prognostic value for osteosarcoma.

With the widely use of various detecting techniques and further research of miRNAs, the relationship between miRNAs and the occurrence as well as development of multiplicate tumors were received more and more attention. In addition, miR-152 as a member of miRNAs has been reported with aberrant expression levels in different malignant tumors. For example, miR-152 was found to be over-expressed in neuroblastoma cells [18], but down-expression of miR-152 was examined in bladder cancer [19], prostate cancer [20], ovarian cancer [21] and supragalottic laryngeal carcinoma [22]. Thus, the role of miR-152 differs between an oncogene or a tumor suppressor according to various tumor types. Although, there were a variety of miRNAs have been confirmed to be related to osteosarcoma such as miR-145, miR-133b, miR-21, miR-9, miR-206 and so on [9,23-26], the effects of miR-152 on osteosarcoma was rarely researched.

In our study, we for the first time determined the expression pattern and clinical significance of miR-152 in patients with osteosarcoma. The expression levels of miR-152 in osteosarcoma patients were decreased significantly compared with healthy control and periostitis patients. This might demonstrate that miR-152 was a tumor suppressor in the development of osteosarcoma. Moreover, significant concordance of miR-152 expression variation was observed in serums and tissues which verified the specific expression of miR-152 in osteosarcoma. Besides, the expression of miR-152 was influenced by Ennking and distant metastasis according to the analysis of the relationship between miR-152 and clinicopathologic characteristics.

The previous studies have demonstrated that miRNAs play important roles in occurrence and development of many diseases. As their abnormal expression, they can act as oncogene or tumor suppressor in different cancers which make them to be important markers in the diagnosis or prognosis of cancers. miR-152 had been considered as a diagnostic or prognostic biomarker in oropharyngeal carcinoma, bladder cancer and non-small cell lung carcinoma (NSCLC) [14,27,28]. Thus, we estimated the diagnostic and prognostic value of miR-152 in osteosarcoma via ROC curve, Kaplan-Meier and Cox regression analysis. The results including AUC values of 0.956 with 92.5% sensitivity and 96.2% specificity revealed that miR-152 could be served as a promising noninvasive marker for early detection of osteosarcoma. In addition, the association between overall survival and miR-152 was performed by Kaplan-Meier analysis which showed the patients with high expression of miR-152 lived longer than those with low expression. Furthermore, the Cox regression analysis indicated miR-152 could be an independent prognostic marker as well as the Ennking. Thus, we provided evidences that highlighted the significant down-regulation and potentially novel diagnostic and prognostic value of the miR-152 expression in osteosarcoma patients. However the detailed molecular mechanisms of miR-152 down-regulation in osteosarcoma remains to be further studied.

In conclusion, the expression of miR-152 decreases in osteosarcoma patients compared with controls and is influenced by Enneking and distant metastasis. Besides, miR-152 may be an independent diagnostic and prognostic maker in osteosarcoma. Our findings provide convincing evidence for the potential application of miR-152 as a diagnostic and prognostic indicator and the study is expected to present a new therapy for the diagnosis and treatment of osteosarcoma.

Disclosure of conflict of interest

None.

References

  • 1.Yang J, Zhang W. New molecular insights into osteosarcoma targeted therapy. Curr Opin Oncol. 2013;25:398–406. doi: 10.1097/CCO.0b013e3283622c1b. [DOI] [PubMed] [Google Scholar]
  • 2.Kager L, Zoubek A, Potschger U, Kastner U, Flege S, Kempf-Bielack B, Branscheid D, Kotz R, Salzer-Kuntschik M, Winkelmann W, Jundt G, Kabisch H, Reichardt P, Jurgens H, Gadner H, Bielack SS. Primary metastatic osteosarcoma: presentation and outcome of patients treated on neoadjuvant Cooperative Osteosarcoma Study Group protocols. J. Clin. Oncol. 2003;21:2011–2018. doi: 10.1200/JCO.2003.08.132. [DOI] [PubMed] [Google Scholar]
  • 3.Bacci G, Briccoli A, Rocca M, Ferrari S, Donati D, Longhi A, Bertoni F, Bacchini P, Giacomini S, Forni C, Manfrini M, Galletti S. Neoadjuvant chemotherapy for osteosarcoma of the extremities with metastases at presentation: recent experience at the Rizzoli Institute in 57 patients treated with cisplatin, doxorubicin, and a high dose of methotrexate and ifosfamide. Ann Oncol. 2003;14:1126–1134. doi: 10.1093/annonc/mdg286. [DOI] [PubMed] [Google Scholar]
  • 4.Chen L, Wang Q, Wang GD, Wang HS, Huang Y, Liu XM, Cai XH. miR-16 inhibits cell proliferation by targeting IGF1R and the Raf1-MEK1/2-ERK1/2 pathway in osteosarcoma. FEBS Lett. 2013;587:1366–1372. doi: 10.1016/j.febslet.2013.03.007. [DOI] [PubMed] [Google Scholar]
  • 5.Longhi A, Fabbri N, Donati D, Capanna R, Briccoli A, Biagini R, Bernini G, Ferrari S, Versari M, Bacci G. Neoadjuvant chemotherapy for patients with synchronous multifocal osteosarcoma: results in eleven cases. J Chemother. 2001;13:324–330. doi: 10.1179/joc.2001.13.3.324. [DOI] [PubMed] [Google Scholar]
  • 6.Xu Z, Wang T. miR-214 promotes the proliferation and invasion of osteosarcoma cells through direct suppression of LZTS1. Biochem Biophys Res Commun. 2014;449:190–195. doi: 10.1016/j.bbrc.2014.04.140. [DOI] [PubMed] [Google Scholar]
  • 7.Wang G, Li B, Fu Y, He M, Wang J, Shen P, Bai L. miR-23a suppresses proliferation of osteosarcoma cells by targeting SATB1. Tumour Biol. 2015;36:4715–4721. doi: 10.1007/s13277-015-3120-0. [DOI] [PubMed] [Google Scholar]
  • 8.Cho WC. OncomiRs: the discovery and progress of microRNAs in cancers. Mol Cancer. 2007;6:60. doi: 10.1186/1476-4598-6-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tang M, Lin L, Cai H, Tang J, Zhou Z. MicroRNA-145 downregulation associates with advanced tumor progression and poor prognosis in patients suffering osteosarcoma. Onco Targets Ther. 2013;6:833–838. doi: 10.2147/OTT.S40080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.He L, Thomson JM, Hemann MT, Hernando-Monge E, Mu D, Goodson S, Powers S, Cordon-Cardo C, Lowe SW, Hannon GJ, Hammond SM. A microRNA polycistron as a potential human oncogene. Nature. 2005;435:828–833. doi: 10.1038/nature03552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hayashita Y, Osada H, Tatematsu Y, Yamada H, Yanagisawa K, Tomida S, Yatabe Y, Kawahara K, Sekido Y, Takahashi T. A polycistronic microRNA cluster, miR-17-92, is overexpressed in human lung cancers and enhances cell proliferation. Cancer Res. 2005;65:9628–9632. doi: 10.1158/0008-5472.CAN-05-2352. [DOI] [PubMed] [Google Scholar]
  • 12.Chen Y, Song Y, Wang Z, Yue Z, Xu H, Xing C, Liu Z. Altered expression of MiR-148a and MiR-152 in gastrointestinal cancers and its significance. J Gastrointest Surg. 2010;14:1170–1179. doi: 10.1007/s11605-010-1202-2. [DOI] [PubMed] [Google Scholar]
  • 13.Wu Y, Huang A, Li T, Su X, Ding H, Li H, Qin X, Hou L, Zhao Q, Ge X, Fang T, Wang R, Gao C, Li J, Shao N. MiR-152 reduces human umbilical vein endothelial cell proliferation and migration by targeting ADAM17. FEBS Lett. 2014;588:2063–2069. doi: 10.1016/j.febslet.2014.04.037. [DOI] [PubMed] [Google Scholar]
  • 14.Hui AB, Lin A, Xu W, Waldron L, Perez-Ordonez B, Weinreb I, Shi W, Bruce J, Huang SH, O'Sullivan B, Waldron J, Gullane P, Irish JC, Chan K, Liu FF. Potentially prognostic miRNAs in HPV-associated oropharyngeal carcinoma. Clin Cancer Res. 2013;19:2154–2162. doi: 10.1158/1078-0432.CCR-12-3572. [DOI] [PubMed] [Google Scholar]
  • 15.Hiroki E, Akahira J, Suzuki F, Nagase S, Ito K, Suzuki T, Sasano H, Yaegashi N. Changes in microRNA expression levels correlate with clinicopathological features and prognoses in endometrial serous adenocarcinomas. Cancer Sci. 2010;101:241–249. doi: 10.1111/j.1349-7006.2009.01385.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tang N, Song WX, Luo J, Haydon RC, He TC. Osteosarcoma development and stem cell differentiation. Clin Orthop Relat Res. 2008;466:2114–2130. doi: 10.1007/s11999-008-0335-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Song QC, Shi ZB, Zhang YT, Ji L, Wang KZ, Duan DP, Dang XQ. Downregulation of microRNA-26a is associated with metastatic potential and the poor prognosis of osteosarcoma patients. Oncol Rep. 2014;31:1263–1270. doi: 10.3892/or.2014.2989. [DOI] [PubMed] [Google Scholar]
  • 18.Liu DZ, Ander BP, Tian Y, Stamova B, Jickling GC, Davis RR, Sharp FR. Integrated analysis of mRNA and microRNA expression in mature neurons, neural progenitor cells and neuroblastoma cells. Gene. 2012;495:120–127. doi: 10.1016/j.gene.2011.12.041. [DOI] [PubMed] [Google Scholar]
  • 19.Kohler CU, Bryk O, Meier S, Lang K, Rozynek P, Bruning T, Kafferlein HU. Analyses in human urothelial cells identify methylation of miR-152, miR-200b and miR-10a genes as candidate bladder cancer biomarkers. Biochem Biophys Res Commun. 2013;438:48–53. doi: 10.1016/j.bbrc.2013.07.021. [DOI] [PubMed] [Google Scholar]
  • 20.Lichner Z, Fendler A, Saleh C, Nasser AN, Boles D, Al-Haddad S, Kupchak P, Dharsee M, Nuin PS, Evans KR, Jung K, Stephan C, Fleshner NE, Yousef GM. MicroRNA signature helps distinguish early from late biochemical failure in prostate cancer. Clin Chem. 2013;59:1595–1603. doi: 10.1373/clinchem.2013.205450. [DOI] [PubMed] [Google Scholar]
  • 21.Woo HH, Laszlo CF, Greco S, Chambers SK. Regulation of colony stimulating factor-1 expression and ovarian cancer cell behavior in vitro by miR-128 and miR-152. Mol Cancer. 2012;11:58. doi: 10.1186/1476-4598-11-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Song Y, Tian Y, Bai WL, Ma XL. Expression and clinical significance of microRNA-152 in supragalottic laryngeal carcinoma. Tumour Biol. 2014;35:11075–11079. doi: 10.1007/s13277-014-2406-y. [DOI] [PubMed] [Google Scholar]
  • 23.Yuan J, Chen L, Chen X, Sun W, Zhou X. Identification of serum microRNA-21 as a biomarker for chemosensitivity and prognosis in human osteosarcoma. J Int Med Res. 2012;40:2090–2097. doi: 10.1177/030006051204000606. [DOI] [PubMed] [Google Scholar]
  • 24.Xu SH, Yang YL, Han SM, Wu ZH. MicroRNA-9 expression is a prognostic biomarker in patients with osteosarcoma. World J Surg Oncol. 2014;12:195. doi: 10.1186/1477-7819-12-195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zhang C, Yao C, Li H, Wang G, He X. Serum levels of microRNA-133b and microRNA-206 expression predict prognosis in patients with osteosarcoma. Int J Clin Exp Pathol. 2014;7:4194–4203. [PMC free article] [PubMed] [Google Scholar]
  • 26.Fei D, Li Y, Zhao D, Zhao K, Dai L, Gao Z. Serum miR-9 as a prognostic biomarker in patients with osteosarcoma. J Int Med Res. 2014;42:932–937. doi: 10.1177/0300060514534643. [DOI] [PubMed] [Google Scholar]
  • 27.Jiang X, Du L, Wang L, Li J, Liu Y, Zheng G, Qu A, Zhang X, Pan H, Yang Y, Wang C. Serum microRNA expression signatures identified from genome-wide microRNA profiling serve as novel noninvasive biomarkers for diagnosis and recurrence of bladder cancer. Int J Cancer. 2015;136:854–862. doi: 10.1002/ijc.29041. [DOI] [PubMed] [Google Scholar]
  • 28.Sanfiorenzo C, Ilie MI, Belaid A, Barlesi F, Mouroux J, Marquette CH, Brest P, Hofman P. Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC. PLoS One. 2013;8:e54596. doi: 10.1371/journal.pone.0054596. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Clinical and Experimental Pathology are provided here courtesy of e-Century Publishing Corporation

RESOURCES