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Involving the microRNA Targetome in Esophageal-Cancer Development and Behavior. Cancers (Basel) 2018; 10:cancers10100381. [PMID: 30322005 PMCID: PMC6210990 DOI: 10.3390/cancers10100381] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/09/2018] [Accepted: 10/10/2018] [Indexed: 02/07/2023] Open
Abstract
Esophageal cancer (EC) is the eighth most common and sixth leading cause of cancer-related mortality in the world. Despite breakthroughs in EC diagnosis and treatment, patients with complete pathologic response after being submitted to chemoradiotherapy are still submitted to surgery, despite its high morbidity. Single-nucleotide polymorphisms (SNPs) in miRNA, miRNA-binding sites, and in its biogenesis pathway genes can alter miRNA expression patterns, thereby influencing cancer risk and prognosis. In this review, we systematized the information available regarding the impact of these miR-SNPs in EC development and prognosis. We found 34 miR-SNPs that were associated with EC risk. Despite the promising applicability of these miR-SNPs as disease biomarkers, they still lack validation in non-Asian populations. Moreover, there should be more pathway-based approaches to evaluate the cumulative effect of multiple unfavorable genotypes and, consequently, identify miR-SNPs signatures capable of predicting EC therapy response and prognosis.
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Moazeni-Roodi A, Hashemi M. Association between miR-124-1 rs531564 polymorphism and risk of cancer: An updated meta-analysis of case-control studies. EXCLI JOURNAL 2018; 17:608-619. [PMID: 30108465 PMCID: PMC6088220 DOI: 10.17179/excli2018-1419] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 06/25/2018] [Indexed: 12/23/2022]
Abstract
Many studies examined the association between miR-124-1 rs531564 polymorphism and the risk of some human cancers, but the findings remain controversial. This update meta-analysis aimed to validate the association between rs531564 polymorphism of miR-124-1 and cancer risk. Eligible studies including 6,502 cancer cases and 7,213 controls were documented by searching Web of Science, PubMed, Scopus, and Google scholar databases. Pooled odds ratios (ORs) with 95 % confidence intervals (CIs) were estimated to quantitatively evaluate the association between rs531564 variant and cancer risk. The results indicated that rs531564 variant significantly decreased the risk of cancer in homozygous codominant (OR=0.54, 95 % CI=0.43-0.69, p<0.00001, GG vs CC), dominant (OR=0.84, 95 % CI=0.72-0.99, p=0.03, CG+GG vs CC), recessive (OR=0.65, 95 % CI=0.54-0.78, p<0.00001, GG vs CG+CC), and allele (OR=0.84, 95 % CI=0.73-0.96, p=0.008, G vs C) genetic model. Stratified analysis by cancer type revealed that rs531564 variant was associated with gastric cancer, cervical cancer, esophageal squamous cell carcinoma and colorectal cancer risk. In summary, the findings of this meta-analysis support an association between miR-124-1 rs531564 polymorphism and cancer risk. Larger and well-designed studies are required to estimate this association in detail.
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Affiliation(s)
| | - Mohammad Hashemi
- Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
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Li C, Zhang Y, Li Y, Ma Q, Liu S, Yao Y, Tan F, Shi L, Yao Y. The association of polymorphisms in miRNAs with nonsmall cell lung cancer in a Han Chinese population. Cancer Manag Res 2018; 10:697-704. [PMID: 29692628 PMCID: PMC5901134 DOI: 10.2147/cmar.s154040] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background MicroRNAs (miRNAs) have been demonstrated to play important roles in cancer progression. Recently, studies have revealed that polymorphisms in miRNAs might be associated with cancer susceptibility. Materials and methods In the current study, we investigated the associations of single nucleotide polymorphisms (SNPs) in miRNAs (rs11134527 in pri-miR-218-2, rs74693964 in pri-miR-145, rs6062251 in pri-miR-133a-2, and rs4705343 in pri-miR-143) with nonsmall cell lung cancer (NSCLC) in a Han population from Yunnan Province, Southwest China using a binary logistic regression analysis. A total of 452 patients with NSCLC and 452 healthy individuals were recruited for polymorphism genotyping using the TaqMan assay. Results Our results showed that the allelic frequencies of rs11134527 and rs4705343 were significantly different between the NSCLC and control groups (P=0.025 and 0.029). Additionally, the genotypic frequencies of rs11134527 were significantly different between the NSCLC and control groups (P=0.045). The mode of inheritance analysis showed that genotypes A/G+G/G of rs11134527 were associated with a lower risk of NSCLC under the dominant model (OR=0.69; 95% CI: 0.51–0.94). In addition, genotypes 2C/C+C/T of rs4705343 were associated with an increased risk of NSCLC under the log-additive model (OR=1.25; 95% CI: 1.01–1.53). However, there was no significant difference in the other SNPs between the NSCLC and control groups (P>0.05). Moreover, the association analysis of these SNPs between adenocarcinoma and squamous cell carcinoma (SCC) showed that allele A of rs11134527 was associated with SCC (OR=0.65; 95% CI: 0.48–0.88). Conclusion Our results indicated that the A allele of rs11134527 might be a risk factor (OR=1.24; 95% CI: 1.03–1.50) and that the T allele of rs4705343 might be a protective factor (OR=0.80; 95% CI: 0.66–0.98) for NSCLC in a Han Chinese population.
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Affiliation(s)
- Chuanyin Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
| | - Yu Zhang
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
| | - Yingfu Li
- Department of Geriatrics, The No. 1 Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Qianli Ma
- Department of Thoracic Surgery, The No. 3 Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Shuyuan Liu
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
| | - Yueting Yao
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
| | - Fang Tan
- Department of Geriatrics, The No. 1 Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Li Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
| | - Yufeng Yao
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People's Republic of China
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Danesh H, Hashemi M, Bizhani F, Hashemi SM, Bahari G. Association study of miR-100, miR-124-1, miR-218-2, miR-301b, miR-605, and miR-4293 polymorphisms and the risk of breast cancer in a sample of Iranian population. Gene 2018; 647:73-78. [DOI: 10.1016/j.gene.2018.01.025] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 01/04/2018] [Accepted: 01/06/2018] [Indexed: 12/24/2022]
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Ciccacci C, Politi C, Biancone L, Latini A, Novelli G, Calabrese E, Borgiani P. Polymorphisms in MIR122, MIR196A2, and MIR124A Genes are Associated with Clinical Phenotypes in Inflammatory Bowel Diseases. Mol Diagn Ther 2017; 21:107-114. [PMID: 27718165 DOI: 10.1007/s40291-016-0240-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Inflammatory bowel diseases (IBDs), including Crohn's disease (CD) and ulcerative colitis (UC), are multifactorial disorders that result from a dysregulated inflammatory response to environmental factors in genetically predisposed individuals. Recently, microRNAs (miRNAs) have been shown to be involved in the development of IBDs. AIMS We investigated common variants in five miRNA genes in a cohort of Italian IBD patients, to evaluate their possible role in the disease's susceptibility and phenotype manifestations. METHODS The analysis included 267 CD patients, 207 UC patients, and 298 matched healthy controls. Polymorphisms in the MIR122, MIR499, MIR146A, MIR196A2, and MIR124A genes were evaluated by allelic discrimination assay. RESULTS We did not find associations between mir polymorphisms and IBD susceptibility. In both diseases, rs17669 and rs11614913 (MIR122 and MIR196A2) seem to contribute to clinical phenotypes: ileal location in CD (odds ratio [OR] = 1.82, p = 0.03; OR = 0.51, p = 0.01), and left-sided extent in UC (OR = 0.43, p = 0.05; OR = 0.28, p = 0.002). In CD, the MIR124A polymorphism (rs531564) contributed to colon location (p = 0.03, OR = 2.74). Finally, the variant allele of rs11614913 was associated with early age at onset in both diseases (p = 0.05 and p = 0.02). CONCLUSIONS We showed for the first time that polymorphisms in MIR122, MIR196A2, and MIR124A could play a role in clinical phenotype modulation in IBD.
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Affiliation(s)
- Cinzia Ciccacci
- Department of Biomedicine and Prevention, Genetics Section, University of Rome "Tor Vergata", 00133, Rome, Italy
| | - Cristina Politi
- Department of Biomedicine and Prevention, Genetics Section, University of Rome "Tor Vergata", 00133, Rome, Italy
| | - Livia Biancone
- Gastroenterology Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Andrea Latini
- Department of Biomedicine and Prevention, Genetics Section, University of Rome "Tor Vergata", 00133, Rome, Italy
| | - Giuseppe Novelli
- Department of Biomedicine and Prevention, Genetics Section, University of Rome "Tor Vergata", 00133, Rome, Italy
| | - Emma Calabrese
- Gastroenterology Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Paola Borgiani
- Department of Biomedicine and Prevention, Genetics Section, University of Rome "Tor Vergata", 00133, Rome, Italy.
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Wang J, Kong X, Xing Z, Wang X, Zhai J, Fang Y, Gao J. A meta-analysis: Is there any association between MiR-608 rs4919510 polymorphism and breast cancer risks? PLoS One 2017; 12:e0183012. [PMID: 28829821 PMCID: PMC5568721 DOI: 10.1371/journal.pone.0183012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 07/14/2017] [Indexed: 01/11/2023] Open
Abstract
Object To combine the data from previously conducted studies about the associations between miR-608 rs4919510 polymorphism (C>G) and breast cancer risks. Methods According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review of the related literatures searched from PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Internet (CNKI) (time: ~ December 2016). Using DerSimonian-Laird random-effects models [Pooling Model: Mantel Haenszel (MH)], odd ratios (ORs) with 95% confidence intervals (95% CIs) were estimated in the allele model, homozygote model, heterozygote model, dominant model and recessive model. Heterogeneity was analyzed using Labbr plots and I2 statistic. Publication bias was analyzed using contour-enhanced funnel plots. Results We included 5 eligible studies with 7948 patients. The ORs and their 95% CIs in the 5 genetic models mentioned above were 1.009 (95% CI: 0.922, 1.104; p = 0.847), 1.098 (95% CI: 0.954, 1.264; p = 0.194), 1.076 (95% CI: 0.956, 1.211; p = 0.227), 1.043 (95% CI: 0.880, 1.236; p = 0.628), 1.007 (95% CI: 0.906, 1.118; p = 0.899), respectively. Conclusion In the present meta-analysis, no relationships between miR-608 rs4919510 polymorphism (C>G) and the risk of breast cancer were found. More studies are warranted to further validate the conclusion.
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Affiliation(s)
- Jing Wang
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
| | - Zeyu Xing
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
| | - Xiangyu Wang
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
| | - Jie Zhai
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
| | - Yi Fang
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
- * E-mail: (YF); (JG)
| | - Jidong Gao
- Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyangqu, Panjiayuan, Beijing, P. R. China
- * E-mail: (YF); (JG)
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Faluyi OO, Eng L, Qiu X, Che J, Zhang Q, Cheng D, Ying N, Tse A, Kuang Q, Dodbiba L, Renouf DJ, Marsh S, Savas S, Mackay HJ, Knox JJ, Darling GE, Wong RKS, Xu W, Azad AK, Liu G. Validation of microRNA pathway polymorphisms in esophageal adenocarcinoma survival. Cancer Med 2017; 6:361-373. [PMID: 28074552 PMCID: PMC5313634 DOI: 10.1002/cam4.989] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 10/19/2016] [Accepted: 11/04/2016] [Indexed: 12/23/2022] Open
Abstract
Polymorphisms in miRNA and miRNA pathway genes have been previously associated with cancer risk and outcome, but have not been studied in esophageal adenocarcinoma outcomes. Here, we evaluate candidate miRNA pathway polymorphisms in esophageal adenocarcinoma prognosis and attempt to validate them in an independent cohort of esophageal adenocarcinoma patients. Among 231 esophageal adenocarcinoma patients of all stages/treatment plans, 38 candidate genetic polymorphisms (17 biogenesis, 9 miRNA targets, 5 pri-miRNA, 7 pre-miRNA) were genotyped and analyzed. Cox proportional hazard models adjusted for sociodemographic and clinicopathological covariates helped assess the association of genetic polymorphisms with overall survival (OS) and progression-free survival (PFS). Significantly associated polymorphisms were then evaluated in an independent cohort of 137 esophageal adenocarcinoma patients. Among the 231 discovery cohort patients, 86% were male, median diagnosis age was 64 years, 34% were metastatic at diagnosis, and median OS and PFS were 20 and 12 months, respectively. GEMIN3 rs197412 (aHR = 1.37, 95%CI: [1.04-1.80]; P = 0.02), hsa-mir-124-1 rs531564 (aHR = 0.60, 95% CI: [0.53-0.90]; P = 0.05), and KIAA0423 rs1053667 (aHR = 0.51, 95% CI: [0.28-0.96]; P = 0.04) were found associated with OS. Furthermore, GEMIN3 rs197412 (aHR = 1.33, 95% CI: [1.03-1.74]; P = 0.03) and KRT81 rs3660 (aHR = 1.29, 95% CI: [1.01-1.64]; P = 0.04) were found associated with PFS. Although none of these polymorphisms were significant in the second cohort, hsa-mir-124-1 rs531564 and KIAA0423 rs1053667 had trends in the same direction; when both cohorts were combined together, GEMIN3 rs197412, hsa-mir-124-1 rs531564, and KIAA0423 rs1053667 remained significantly associated with OS. We demonstrate the association of multiple miRNA pathway polymorphisms with esophageal adenocarcinoma prognosis in a discovery cohort of patients, which did not validate in a separate cohort but had consistent associations in the pooled cohort. Larger studies are required to confirm/validate the prognostic value of these polymorphisms in esophageal adenocarcinoma.
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Affiliation(s)
- Olusola O. Faluyi
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Lawson Eng
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Xin Qiu
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Jiahua Che
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Qihuang Zhang
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Dangxiao Cheng
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Nanjiao Ying
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Institute of Biomedical EngineeringHangzhou Dianzi UniversityZhejiangChina
| | - Alvina Tse
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Qin Kuang
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Lorin Dodbiba
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Daniel J. Renouf
- British Columbia Cancer AgencyDepartment of Medical OncologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Sharon Marsh
- Faculty of Pharmacy and Pharmaceutical SciencesUniversity of AlbertaEdmontonAlbertaCanada
| | - Sevtap Savas
- Discipline of GeneticsMemorial University of NewfoundlandSt. John'sNewfoundlandCanada
| | - Helen J. Mackay
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Odette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Jennifer J. Knox
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Gail E. Darling
- Division of Thoracic SurgeryDepartment of SurgeryToronto General HospitalTorontoOntarioCanada
| | - Rebecca K. S. Wong
- Department of Radiation OncologyPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Wei Xu
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Abul Kalam Azad
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of Genitourinary Medical OncologyDivision of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexas
| | - Geoffrey Liu
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
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Shi ZW, Wang JL, Zhao N, Guan Y, He W. Single nucleotide polymorphism of hsa-miR-124a affects risk and prognosis of osteosarcoma. Cancer Biomark 2017; 17:249-57. [PMID: 27540978 DOI: 10.3233/cbm-160637] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To study the correlation between single nucleotide polymorphism (SNP) of hsa-miR-124a and risk and prognosis of osteosarcoma (OS). METHODS OS patients (n = 174) hospitalized at The Second Affiliated Hospital of Harbin Medical University from January 2010 to March 2012 were selected as case group by inclusion and exclusion criteria, and healthy people (n = 150) receiving physical examination at the same duration were recruited as control group. Polymerase chain reaction-ligase detection reaction (PCR-LDR) was performed for genotyping of hsa-miR-124a rs531564. RESULTS There were significant differences in the frequency distribution of genotypes and alleles of hsa-miR-124a rs531564 in the case and control group (all P < 0.05); the individuals carrying with CG + GG genotype showed significantly decreased risk for OS. The clinical pathological characteristics were significantly different in the patients with CC genotype and CG + GG genotype, including tumor size, tumor differentiation grading, Enneking staging, operation manner, time of chemotherapy and metastasis (all P < 0.05). The 5-year survival rate of the cases with CC genotype was significantly lower than that of the ones with CG + GG genotype (P < 0.05). CG + GG genotype, Enneking staging and operation manner were independent risk factors for prognosis of OS (all P < 0.05). CONCLUSIONS CG +$ GG genotype of hsa-miR-124a rs531564 had decreased risk for OS and affected prognosis of OS.
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Affiliation(s)
- Zuo-Wei Shi
- Department of Orthopedics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Jing-Lu Wang
- Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Ning Zhao
- Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Ying Guan
- Department of Orthopedics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Wen He
- Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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