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Chen GH, Liu Z, Ji MF, Pfeiffer RM, Huang QH, Lu YQ, Xie SH, Lin CY, Chen WJ, Chen XX, Ling W, Fan YY, Yu X, Wu BH, Wei KR, Rao HL, Guo X, Hong MH, Ma J, Liu Q, Hildesheim A, Cao SM. Prospective assessment of a nasopharyngeal carcinoma risk score in a population undergoing screening. Int J Cancer 2021; 148:2398-2406. [PMID: 33285002 DOI: 10.1002/ijc.33424] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 11/02/2020] [Accepted: 11/23/2020] [Indexed: 12/29/2022]
Abstract
Despite evidence suggesting the utility of Epstein-Barr virus (EBV) markers to stratify individuals with respect to nasopharyngeal carcinoma (NPC) risk in NPC high-risk regions, no validated NPC risk prediction model exists. We aimed to validate an EBV-based NPC risk score in an endemic population undergoing screening for NPC. This prospective study was embedded within an ongoing NPC screening trial in southern China initiated in 2008, with 51 235 adult participants. We assessed the score's discriminatory ability (area under the receiver-operator-characteristics curve, AUC). A new model incorporating the EBV score, sex and family history was developed using logistic regression and internally validated using cross-validation. AUCs were compared. We also calculated absolute NPC risk combining the risk score with population incidence and competing mortality data. A total of 151 NPC cases were detected in 2008 to 2016. The EBV-based score was highly discriminating, with AUC = 0.95 (95% CI = 0.93-0.97). For 90% specificity, the score had 87.4% sensitivity (95% CI = 81.0-92.3%). As specificity increased from 90% to 99%, the positive predictive value increased from 2.4% (95% CI = 1.9-3.0%) to 12.5% (9.9-15.5%). Correspondingly, the number of positive tests per detected NPC case decreased from 272 (95% CI = 255-290) to 50 (41-59). Combining the score with other risk factors (sex, first-degree family history of NPC) did not improve AUC. Men aged 55 to 59 years with the highest risk profile had the highest 5-year absolute NPC risk of 6.5%. We externally validated the discriminatory accuracy of a previously developed EBV score in a high-risk population. Adding nonviral risk factors did not improve NPC prediction.
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Affiliation(s)
- Geng-Hang Chen
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Ming-Fang Ji
- Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | | | | | - Shang-Hang Xie
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chu-Yang Lin
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen-Jie Chen
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiao-Xia Chen
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei Ling
- Sihui Cancer Institute, Sihui, China
| | - Yu-Ying Fan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xia Yu
- Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China
| | - Biao-Hua Wu
- Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China
| | - Kuang-Rong Wei
- Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China
| | - Hui-Lian Rao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiang Guo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ming-Huang Hong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qing Liu
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Su-Mei Cao
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Xin Q, Xin G, Li L, Sun W, Jiang W, Wang J, Luan Y, Zhang Y, Cheng L, Duan S, Hong F, Ji Q, Ma W. Association study of hypertension susceptibility genes ITGA9, MOV10, and CACNB2 with preeclampsia in Chinese Han population. J Matern Fetal Neonatal Med 2021; 35:5227-5235. [PMID: 33491517 DOI: 10.1080/14767058.2021.1876022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Preeclampsia (PE) is a disorder that occurs during the pregnancy and could affect the maternal and perinatal mortality as well as morbidity. The aim of our study is to investigate the associations between the hypertension susceptibility genes ITGA9, MOV10 and CACNB2 with PE in Chinese Han population. METHODS A case-control study including 178 PE patients and 202 healthy controls was conducted to assess the associations between three loci (ITGA9 rs155524, MOV10 rs2932538 and CACNB2 rs4373814) and PE. The TaqMan probe assay was applied for genotyping in our study. Quantitative real-time PCR was performed to detect the mRNA expression levels of ITGA9, MOV10 and CACNB2. ELISA was carried out to detect the concentration of serum sFlt-1 or PLGF. RESULTS Our study detected no significant differences in allelic frequencies of three SNPs between PE patients and healthy controls. In the genetic model, the results showed that the patients with ITGA9 rs155524 GA or AA genotypes had a higher risk of PE development compared to those with GG genotype in codominant model. And PE patients had a higher frequency of GA + AA genotypes based on the dominant model. Subgroup analysis showed ITGA9 rs155524 was associated with early-onset PE but not with late-onset PE. No association was observed between MOV10 and CACNB2 with PE in any genetic model and subgroup analysis. Quantitative real-time PCR results showed that ITGA9 mRNA expression level was apparently increased in the placental tissues of PE patients. In addition, ITGA9 expression levels of GA + AA subjects were apparently higher than that in the genotype GG of placental tissues. sFlt-1/PLGF ratio was higher in GA + AA subjects than that in GG subjects. Regression analysis revealed that ratio of sFlt-1/PLGF was positively correlated with ITGA9 mRNA expression level. CONCLUSION This study has identified ITGA9 is a promising candidate susceptibility gene for early-onset PE. Our findings demonstrated that the high expression of ITGA9 might be associated with an increased risk of PE.
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Affiliation(s)
- Qian Xin
- Central Laboratory, Institute of Medical Science, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Gang Xin
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Li Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Wenjuan Sun
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Wen Jiang
- Central Laboratory, Institute of Medical Science, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Jue Wang
- Central Laboratory, Institute of Medical Science, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Yun Luan
- Central Laboratory, Institute of Medical Science, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Ying Zhang
- Department of Respiratory Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Ling Cheng
- Department of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Shuhong Duan
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Fanzhen Hong
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Qinghong Ji
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Weihong Ma
- Department of Obstetrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
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Li Q, Cohen JI. Epstein-Barr Virus and the Human Leukocyte Antigen Complex. CURRENT CLINICAL MICROBIOLOGY REPORTS 2019; 6:175-181. [PMID: 33094090 DOI: 10.1007/s40588-019-00120-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Purpose While most adults are infected Epstein-Barr virus (EBV), 3-5% remain uninfected. The human leukocyte antigen (HLA) complex, which controls many pathogens, may influence infection and disease associated with EBV. Recent Findings Numerous EBV proteins and miRNAs down-regulate HLA class I and II expression on the cell surface. HLA class II functions as a receptor for EBV entry into B cells. Specific HLA class II alleles correlate with the susceptibility of B cells to EBV infection in vitro and with EBV seropositivity or seronegativity of humans. HLA class I polymorphisms correlate with development and severity of EBV infectious mononucleosis and with the risk of several virus-associated malignancies including nasopharyngeal carcinoma, Hodgkin lymphoma, and post-transplant lymphoproliferative disease. Significance These findings indicate that while EBV has evolved to use MHC class II as a receptor for virus entry, polymorphisms in MHC class II and class I influence virus infection and disease.
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Affiliation(s)
- Qingxue Li
- Medical Virology Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Jeffrey I Cohen
- Medical Virology Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
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High HLA-F Expression Is a Poor Prognosis Factor in Patients with Nasopharyngeal Carcinoma. Anal Cell Pathol (Amst) 2018; 2018:7691704. [PMID: 30510890 PMCID: PMC6232804 DOI: 10.1155/2018/7691704] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 08/31/2018] [Accepted: 09/19/2018] [Indexed: 02/07/2023] Open
Abstract
Background and Aims In patients with nasopharyngeal carcinoma (NPC), local treatment failure and distant metastasis contribute largely to poor outcomes. The nasopharynx is an important lymphoid tissue, and NPC tumourigenesis and development are partly attributed to immune system disorders. Human leukocyte antigen F (HLA-F) has shown a close correlation with NPC in many genome-wide association studies (GWASs). However, clinical studies rarely explore the relationship of HLA-F expression with the clinical parameters and outcomes in patients with NPC. Methods In this study, we used immunohistochemistry to evaluate HLA-F expression in 74 paraffin-embedded NPC tissue sections and then analysed the association between HLA-F expression and clinical parameters and outcomes. The plasma concentration of soluble HLA-F (sHLA-F) in NPC patients and normal controls was also detected, via enzyme-linked immunosorbent assay (ELISA). Results Low, moderate, and high HLA-F expression levels were observed in 47.3% (35/74), 35.1% (26/74), and 17.6% (13/74), respectively, of the tissue samples. HLA-F expression showed a significant correlation with local recurrence (p = 0.037) and distant metastasis (p = 0.024) and was also an independent factor for local recurrence-free survival (LRFS; p = 0.016) and distant metastasis-free survival (DMFS; p = 0.004). Although the mean concentration of plasma sHLA-F in the NPC patients was higher than that in the normal controls (13.63 pg/ml vs. 10.06 pg/ml), no statistical significance was observed (p = 0.118). Conclusions Our study provides the first evidence that high HLA-F expression is associated with NPC local recurrence and distant metastasis and may be regarded as a poor prognostic factor for NPC patients. Additional studies using larger sample sizes may be necessary to determine whether sHLA-F is a feasible NPC diagnostic indicator.
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Fan PW, Huang L, Chang XM, Feng YN, Yao X, Peng YC, Dong T, Wang RZ. Human Leukocyte Antigen-A Allele Distribution in Nasopharyngeal Carcinoma Patients Showing Anti-Melanoma-Associated Antigen A or Synovial Sarcoma X-2 T Cell Response in Blood. Chin Med J (Engl) 2018; 131:1289-1295. [PMID: 29786040 PMCID: PMC5987498 DOI: 10.4103/0366-6999.232791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Background: Development of innovative immunotherapy is imperative to improve the poor survival of the nasopharyngeal carcinoma (NPC) patients. In this study, we evaluated the T cell response to melanoma-associated antigen (MAGE)-A1, MAGE-A3, or synovial sarcoma X-2 (SSX-2) in the peripheral blood of treatment-naive NPC patients. The relationship of responses among the three proteins and the human leukocyte antigen (HLA)-A types were analyzed to provide evidence of designing novel therapy. Methods: Sixty-one NPC patients admitted into the Tumor Hospital affiliated to the Xinjiang Medical University between March 2015 and July 2016 were enrolled. Mononuclear cells were isolated from the peripheral blood before any treatment. HLA-A alleles were typed with Sanger sequence-based typing technique. The T cell response to the MAGE-A1, MAGE-A3, or SSX-2 was evaluated with the Enzyme-Linked ImmunoSpot assay. Mann-Whitney U-test was used to compare the T cell responses from different groups. Spearman's rank correlation was used to analyze the relationship of T cell responses. Results: HLA-A*02:01, A*02:07, and A*24:02 were the three most frequent alleles (18.9%, 12.3%, and 11.5%, respectively) among the 22 detected alleles. 31.1%, 19.7%, and 16.4% of the patients displayed MAGE-A1, MAGE-A3, or SSX-2-specific T cell response, respectively. The magnitudes of response to the three proteins were 32.5, 38.0, and 28.7 SFC/106 peripheral blood mononuclear cells, respectively. The T cell response against the three proteins correlated with each other to different extent. The percentage of A*02:01 and A*24:02 carriers were significantly higher in patients responding to any of the three proteins compared to the nonresponders. Conclusion: MAGE-A1, MAGE-A3, or SSX-2-specific T cell responses were detectable in a subgroup of NPC patients, the frequency and magnitude of which were correlated.
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Affiliation(s)
- Pei-Wen Fan
- Xinjiang Key Laboratory of Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Li Huang
- Department of Radiation Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Xue-Mei Chang
- Xinjiang Key Laboratory of Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Ya-Ning Feng
- Xinjiang Key Laboratory of Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Xuan Yao
- CAMS Oxford Center for Translation Immunology, Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine; MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, UK
| | - Yan-Chun Peng
- CAMS Oxford Center for Translation Immunology, Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine; MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, UK
| | - Tao Dong
- CAMS Oxford Center for Translation Immunology, Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine; MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, UK
| | - Ruo-Zheng Wang
- Xinjiang Key Laboratory of Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University; Department of Radiation Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
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Cui Q, Feng FT, Xu M, Liu WS, Yao YY, Xie SH, Li XZ, Ye ZL, Feng QS, Chen LZ, Bei JX, Feng L, Huang QH, Jia WH, Cao SM, Chang ET, Ye W, Adami HO, Zeng YX. Nasopharyngeal carcinoma risk prediction via salivary detection of host and Epstein-Barr virus genetic variants. Oncotarget 2017; 8:95066-95074. [PMID: 29221111 PMCID: PMC5707005 DOI: 10.18632/oncotarget.11144] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2016] [Accepted: 06/30/2016] [Indexed: 12/30/2022] Open
Abstract
Genetic susceptibility and Epstein-Barr virus (EBV) infection are important etiological factors in nasopharyngeal carcinoma (NPC). In this study, in southern China, where NPC is endemic, a single nucleotide polymorphism (SNP) in the EBV-encoded RPMS1 gene (locus 155391: G > A [G155391A]) and seven host SNPs (rs1412829, rs28421666, rs2860580, rs2894207, rs31489, rs6774494, and rs9510787) were confirmed to be significantly associated with NPC risk in 50 NPC cases versus 54 hospital-based controls with throat washing specimens and 1925 NPC cases versus 1947 hospital-based controls with buffy coat samples, respectively. We established a strategy to detect the NPC-associated EBV and host SNPs using saliva samples in a single test that is convenient, noninvasive, and cost-effective and displays good compliance. The potential utility of this strategy was tested by applying a risk prediction model integrating these EBV and host genetic variants to a population-based case-control study comprising 1026 incident NPC cases and 1148 controls. Receiver operating characteristic (ROC) curve analysis revealed an area under the curve of the NPC risk prediction model of 0.74 (95% CI: 0.71-0.76). Net reclassification improvement (NRI) analysis showed that inclusion of the EBV SNP significantly improved the discrimination ability of the model (NRI = 0.30, P < 0.001), suggesting the promising value of EBV characteristics for identifying high-risk NPC individuals in endemic areas. Taken together, we developed a promising NPC risk prediction model via noninvasive saliva sampling. This approach might serve as a convenient and effective method for screening the population with high-risk of NPC.
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Affiliation(s)
- Qian Cui
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Fu-Tuo Feng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Miao Xu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Wen-Sheng Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - You-Yuan Yao
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Shang-Hang Xie
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Xi-Zhao Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Zu-Lu Ye
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Qi-Sheng Feng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Li-Zhen Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Jin-Xin Bei
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Lin Feng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Qi-Hong Huang
- Sihui Cancer Institute, Sihui, Guangdong, P. R. China
| | - Wei-Hua Jia
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Su-Mei Cao
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Ellen T. Chang
- Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Weimin Ye
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Yi-Xin Zeng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
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Zhu XX, Yang XJ, Chao YL, Zheng HM, Sheng HF, Liu HY, He Y, Zhou HW. The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma. EBioMedicine 2017; 18:23-31. [PMID: 28216066 PMCID: PMC5405060 DOI: 10.1016/j.ebiom.2017.02.002] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 01/16/2017] [Accepted: 02/03/2017] [Indexed: 12/17/2022] Open
Abstract
Background Oral mucositis is probably the most debilitating complication that can arise in treating a patient with head and neck cancer. Little is known about the impacts of oral microbiota on the initiation and progression of mucositis. Methods Based on 16S rRNA gene sequencing, dynamic changes in oral bacterial profile as well as correlations between the severity of mucositis and bacterial shifts during radiotherapy were investigated. Findings Our results revealed that bacterial community structure altered progressively during radiation therapy, in parallel with a marked increase in the relative abundance of some Gram-negative bacteria. Patients who eventually developed severe mucositis harbored a significantly lower bacterial alpha diversity and higher abundance of Actinobacillus during the phase of erythema – patchy mucositis. Accordingly, a random forest model for predicting exacerbation of mucositis was generated, which achieved a high predictive accuracy (AUC) of 0.89. Interpretation Oral microbiota changes correlate with the progression and aggravation of radiotherapy-induced mucositis in patients with nasopharyngeal carcinoma. Microbiota-based strategies can be used for the early prediction and prevention of the incidence of severe mucositis during radiotherapy. The oral microbiota of NPC patients are different to that of healthy persons. The biodiversity of oral microbiota changed significantly as mucositis progressed during radiotherapy. Oral microbiota represents a potential strategy for predicting the aggravation of severe mucositis during radiotherapy.
Oral or oropharyngeal mucositis is the most common side effect of radiation therapy for head and neck cancers. In this prospective cohort study, we found that changes in an oral microbial community correlated with the progression and aggravation of radiotherapy-induced mucositis in the patients with nasopharyngeal carcinoma; and patients who eventually developed severe mucositis transiently harbored a notably higher proportion of Actinobacillus during a mild phase of mucositis, which may potentially play a role in the aggravation of severe mucosal lesions. Moreover, our findings also showed that microbiota-based strategies can be used for the early prediction of the incidence of severe mucositis during radiotherapy.
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Affiliation(s)
- Xiao-Xia Zhu
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Xiao-Jun Yang
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yi-Lan Chao
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Hui-Min Zheng
- State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Hua-Fang Sheng
- State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Hai-Yue Liu
- State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Yan He
- State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Hong-Wei Zhou
- State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
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Yang Y, Liu J, Song F, Zhang S. The clinical diagnostic value of target biopsy using narrow-band imaging endoscopy and accurate laryngeal carcinoma pathologic specimen acquisition. Clin Otolaryngol 2016; 42:38-45. [PMID: 27037849 DOI: 10.1111/coa.12654] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To estimate the clinical significance of target biopsy for clinical diagnosis and determine accurate laryngeal lesion pathologic specimen acquisition via narrow-band imaging (NBI) endoscopy. METHODS A total of 138 samples from patients with laryngeal lesions (carcinoma, 118; hyperplasia, 3; mild dysplasia, 2; moderate dysplasia, 5; severe dysplasia, 5; vocal cord polyp, 1; and inflammatory lesion, 4) were collected from the Department of Otolaryngology Head and Neck Surgery of Tianjin Union Medical Center from 1 January 2013 to 1 February 2015. All patients were divided into the regular biopsy and NBI target biopsy groups; the imaging data were recorded and patient samples were biopsied. Pathologic diagnoses were used to evaluate the accuracies of regular and target biopsy. RESULTS Based on the pathologic diagnosis, NBI target pathology yielded an accurate laryngeal lesion pathologic specimen acquisition rate of 95.6% (65/68), significantly higher than that yielded by regular biopsy (75.7%, 53/70; χ2 = 10.99, P = 0.001). In the NBI target pathology group, the correct accurate pathologic specimen acquisition rates at laryngeal cancer diagnostic stages 0 (Tis), I and II were 100%, 100% and 85.71%, respectively, which were higher than the corresponding rates in the regular biopsy group (0%, χ2 = 10.000, P = 0.002; 25%, χ2 = 5.625, P = 0.018; and 38.46%, χ2 = 6.454, P = 0.011, respectively). CONCLUSIONS In cases of laryngeal carcinoma, NBI endoscopy plays an important role in clinical diagnosis and accurate pathologic specimen acquisition and could be a regular clinical method for laryngeal lesion detection.
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Affiliation(s)
- Y Yang
- Department of Otolaryngology Head and Neck Surgery, Tianjin Union Medical Center, Tianjin, China
| | - J Liu
- Department of Otolaryngology Head and Neck Surgery, Tianjin Union Medical Center, Tianjin, China
| | - F Song
- Department of Otolaryngology Head and Neck Surgery, Tianjin Union Medical Center, Tianjin, China
| | - S Zhang
- Department of Pathology, Tianjin Union Medical Center, Tianjin, China
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Su WH, Chiu CC, Yao Shugart Y. Heterogeneity revealed through meta-analysis might link geographical differences with nasopharyngeal carcinoma incidence in Han Chinese populations. BMC Cancer 2015; 15:598. [PMID: 26307051 PMCID: PMC4549009 DOI: 10.1186/s12885-015-1607-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 08/18/2015] [Indexed: 11/29/2022] Open
Abstract
Background Nasopharyngeal carcinoma (NPC) is an epithelial malignancy highly prevalent in southern China, and incidence rates among Han Chinese people vary according to geographic region. Recently, three independent genome-wide association studies (GWASs) confirmed that HLA-A is the main risk gene for NPC. However, the results of studies conducted in regions with dissimilar incidence rates contradicted the claims that HLA-A is the sole risk gene and that the association of rs29232 is independent of the HLA-A effect in the chromosome 6p21.3 region. Methods We performed a meta-analysis, selecting five single-nucleotide polymorphisms (SNPs) in chromosome 6p21.3 mapped in three published GWASs and four case–control studies. The studies involved 8994 patients with NPC and 11,157 healthy controls, all of whom were Han Chinese. Results The rs2517713 SNP located downstream of HLA-A was significantly associated with NPC (P = 1.08 × 10−91, odds ratio [OR] = 0.58, 95 % confidence interval [CI] = 0.55–0.61). The rs29232 SNP exhibited a moderate level of heterogeneity (I2 = 47 %) that disappeared (I2 = 0 %) after stratification by moderate- and high-incidence NPC regions. Conclusions Our results suggested that the HLA-A gene is strongly associated with NPC risk. In addition, the heterogeneity revealed by the meta-analysis of rs29232 might be associated with regional differences in NPC incidence among Han Chinese people. The higher OR of rs29232 and the fact that rs29232 was independent of the HLA-A effect in the moderate-incidence population suggested that rs29232 might have greater relevance to NPC incidence in a moderate-incidence population than in a high-incidence population. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1607-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wen-Hui Su
- Department of Biomedical Sciences, Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Chang Gung Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
| | - Chi-Cking Chiu
- Chang Gung Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
| | - Yin Yao Shugart
- Division of Intramural Research Programs, Unit on Statistical Genomics, National Institute of Mental Health, Bethesda, MD, USA. .,Department of Gastroenterology, Johns Hopkins Medical School, Baltimore, MD, USA.
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