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Prospective assessment of a nasopharyngeal carcinoma risk score in a population undergoing screening.
Chen, Geng-Hang; Liu, Zhiwei; Ji, Ming-Fang; Pfeiffer, Ruth M; Huang, Qi-Hong; Lu, Yu-Qiang; Xie, Shang-Hang; Lin, Chu-Yang; Chen, Wen-Jie; Chen, Xiao-Xia; Ling, Wei; Fan, Yu-Ying; Yu, Xia; Wu, Biao-Hua; Wei, Kuang-Rong; Rao, Hui-Lian; Guo, Xiang; Hong, Ming-Huang; Ma, Jun; Liu, Qing; Hildesheim, Allan; Cao, Su-Mei.
Afiliação
  • Chen GH; Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Liu Z; School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Ji MF; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Pfeiffer RM; Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China.
  • Huang QH; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Lu YQ; Sihui Cancer Institute, Sihui, China.
  • Xie SH; Sihui Cancer Institute, Sihui, China.
  • Lin CY; Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Chen WJ; 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.
  • Chen XX; Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Ling W; School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Fan YY; Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Yu X; Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Wu BH; Sihui Cancer Institute, Sihui, China.
  • Wei KR; 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.
  • Rao HL; Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China.
  • Guo X; Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China.
  • Hong MH; Cancer Research Institute of Zhongshan City, Zhongshan Hospital of Sun Yat-sen University, Zhongshan, China.
  • Ma J; 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.
  • Liu Q; 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.
  • Hildesheim A; 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.
  • Cao SM; 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.
Int J Cancer ; 148(10): 2398-2406, 2021 May 15.
Article em En | MEDLINE | ID: mdl-33285002
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Int J Cancer Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Int J Cancer Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China