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Liu M, Qi Z, Zhou R, Guo C, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Liu Z, Pan Y, Liu F, Liu Y, Cai H, He Z, Ke Y. How should extra-large Lugol-unstained lesions of the esophagus be treated? Results from a population-based cohort study. Cancer Med 2023; 12:20129-20139. [PMID: 37732496 PMCID: PMC10587922 DOI: 10.1002/cam4.6592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Current guidelines recommend only severe dysplasia and above (SDA) lesions of the esophageal squamous epithelium for clinical intervention. However, the histopathologic diagnosis derived from tissue biopsies may be subject to underestimation of severity. METHODS 1073 participants from whom biopsies were taken at baseline chromoendoscopic examination in a population-based screening trial were enrolled in this study. The size of the Lugol-unstained lesions (LULs) was mainly analyzed. The outcome was defined as SDA lesions either identified at baseline screening, or during follow-up, collectively referred to as the cumulative risk of SDA. Multivariable logistic regression models were used to evaluate the cumulative risk of SDA. RESULTS One hundred and forty-six SDA cases were identified in the study period. Participants with large LULs had a high cumulative incidence of SDA (cumulative incidence16-20mm : 55.88%; cumulative incidence>20mm : 76.92%) in the median of 7-year duration. LULs of large size were significantly associated with a higher cumulative risk of SDA, regardless of the pathologic diagnosis (adjusted OR16-20mmvs.≤5mm = 21.02, 95% CI: 7.56-58.47; adjusted OR>20mmvs.≤5mm = 33.62, 95% CI: 11.79-95.87). CONCLUSIONS Results from this study suggest physician-patient shared decision-making regarding clinical treatment or intensive surveillance should be carried out for LULs >20 mm in the esophagus, regardless of the histologic diagnosis. For those with LULs of 16-20 mm, intensive surveillance would also best be considered.
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Affiliation(s)
- Mengfei Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Zifan Qi
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Ren Zhou
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Chuanhai Guo
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Anxiang Liu
- Endoscopy CenterAnyang Cancer HospitalHenan ProvinceAnyangChina
| | - Haijun Yang
- Department of PathologyAnyang Cancer HospitalHenan ProvinceAnyangChina
| | - Fenglei Li
- Hua County People's HospitalHenan ProvinceChina
| | - Liping Duan
- Department of GastroenterologyPeking University Third HospitalBeijingChina
| | - Lin Shen
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal OncologyPeking University Cancer Hospital & InstituteBeijingChina
| | - Qi Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Endoscopy CenterPeking University Cancer Hospital & InstituteBeijingChina
| | - Zhen Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Yaqi Pan
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Fangfang Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Ying Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Hong Cai
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
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Li H, Xia C, He S, Yan X, Zhang S, Teng Y, Cao M, Yang F, Li Q, Ma H, Zhou J, Zhang S, Chen W. Long-term esophageal cancer risk and distinct surveillance intervals after a single endoscopy screening: a multicentre population-based cohort study. EClinicalMedicine 2023; 63:102201. [PMID: 37680952 PMCID: PMC10480518 DOI: 10.1016/j.eclinm.2023.102201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/17/2023] [Accepted: 08/21/2023] [Indexed: 09/09/2023] Open
Abstract
Background Endoscopy surveillance is recommended for mild-moderate dysplasia and negative endoscopy findings every 3 years and 5 years, respectively, but evidence is limited. This study aimed to assess long-term esophageal cancer (EC) incidence and mortality after a single endoscopy screening. Methods We included individuals at high risk of EC aged 40-69 years who underwent endoscopy screening in 2007-2012 at six centres in rural China and had a baseline diagnosis of negative endoscopy findings, mild dysplasia, or moderate dysplasia. Participants were followed up for EC incidence and mortality. Cumulative incidence and mortality rates of EC were estimated by Kaplan-Meier analyses. Cox regression models were used to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between baseline endoscopy diagnosis and the risk of EC incidence and mortality. EC incidence and mortality after a single endoscopy screening were compared with those of the population in rural China by the standardized incidence ratio (SIR) and standardized mortality ratio (SMR). Findings A total of 42,827 participants (40,977 with negative endoscopy findings, 1562 with mild dysplasia, and 288 with moderate dysplasia) were included; 268 EC cases and 128 EC deaths were identified during a median follow-up of 10.62 years. The cumulative EC incidence at 10 years was 0.45% (0.38-0.52) in the group with negative endoscopy findings, 2.39% (1.62-3.16) in the mild dysplasia group, and 8.90% (5.57-12.24) in the moderate dysplasia group, and the cumulative EC mortality at 10 years was 0.23% (0.18-0.27), 0.96% (0.46-1.46), and 2.50% (0.67-4.33), respectively. Compared with individuals with negative endoscopy findings, the HRs for EC incidence and mortality in the mild dysplasia group were 3.52 (2.49-4.97) and 2.43 (1.41-4.19), and those in the moderate dysplasia group were 13.18 (8.78-19.76) and 6.46 (3.13-13.29), respectively. The SIR was 0.53 (0.40-0.70) for the group with negative endoscopy findings, 1.95 (1.69-2.24) for the mild dysplasia group, and 6.75 (6.25-7.28) for the moderate dysplasia group, with the SMRs of 0.43 (0.31-0.58), 1.07 (0.88-1.29) and 2.67 (2.36-3.01), respectively. Interpretation Individuals with negative endoscopy findings after a single endoscopy screening had a lower EC risk than the general population for up to 10.62 years, while those with mild-moderate dysplasia had an elevated risk. Our results support endoscopy surveillance for mild-moderate dysplasia every 3 years and suggest extending the interval to 10 years after a negative endoscopy finding. Funding National Key R&D Programme of China, Special Project of Beijing-Tianjin-Hebei Basic Research Cooperation, and Sanming Project of Medicine in Shenzhen.
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Affiliation(s)
- He Li
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
- Office of Cancer Regional Medical Centre, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Changfa Xia
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Siyi He
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xinxin Yan
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shaoli Zhang
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yi Teng
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Maomao Cao
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Fan Yang
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Qianru Li
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hengmin Ma
- Department of Preventive Management, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Jinyi Zhou
- Department for Chronic Non-communicable Diseases Control, Jiangsu Provincial Centre for Disease Control and Prevention (Public Health Research Institute of Jiangsu Province), Nanjing 210009, China
| | - Shaokai Zhang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Centre of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou 450008, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Centre/ National Clinical Research Centre for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Xia C, Chen W. The NCC mathematical modeling framework for decision-making of six major cancers. JOURNAL OF THE NATIONAL CANCER CENTER 2023; 3:35-47. [PMID: 39036317 PMCID: PMC11256528 DOI: 10.1016/j.jncc.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022] Open
Abstract
Objective Mathematical modeling and simulation is a useful research method to inform decision-making. This article aims to describe the National Cancer Center (NCC) modeling framework and how well it reproduces observed empirical data for six major cancers. Methods We developed the NCC modeling framework for six major cancers in China (lung, liver, stomach, colorectal, esophageal, and breast), which simulates the life-histories represented by states among normal, precancerous lesion, stage-specific invasive cancer, and death for six cancers separately. Each NCC simulation model could be illustrated as an integrated framework of 3 modules: a demography module, natural history module, and screening module. Combined with costs and health utilities data, the models could have many detailed outputs for informing decisions, including the harm of screening (e.g., false positives, complications, and overdiagnosis), healthcare costs, and benefits (quality-adjusted life years gained, cancer incidence and mortality, and investment returns). We calibrated the models to Chinese population-based observations on cancer incidence, mortality, and stage distribution. All models are validated by comparing model simulated results to data observed from nationwide cancer registration and a large prospective cohort study. Results The simulated results from the calibrated models consistently match the epidemiological patterns in six major cancer incidence, mortality, and stage distributions in China. Model projected age-specific cancer incidence and mortality were close to the observed data in the national cancer registration. The NCC modeling framework reproduced the cumulative cancer cases and deaths observed in the prospective cohort study at 7.0 and 10.8 years of follow-up. Model estimated net survival rates also consistent with population-based statistics. Conclusion The NCC modeling framework's ability to reproduce the observed population-level cancer statistics and the cancer cases in a prospective cohort study suggests its results are reliable to inform decision-making related to six major cancers in China.
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Affiliation(s)
- Changfa Xia
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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