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Lian S, Lu C, Li F, Yu X, Ai L, Wu B, Gong X, Zhou W, Liang X, Zhan J, Yuan Y, Fang F, Liu Z, Ji M, Zheng Z. Monitoring Hepatocellular Carcinoma Using Tumor Content in Circulating Cell-Free DNA. Clin Cancer Res 2024; 30:2772-2779. [PMID: 38630548 DOI: 10.1158/1078-0432.ccr-23-3449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/19/2024] [Accepted: 04/09/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE The objective of the study was to evaluate the use of tumor content in circulating cell-free DNA (ccfDNA) for monitoring hepatocellular carcinoma (HCC) throughout its natural history. EXPERIMENTAL DESIGN We included 67 patients with hepatitis B virus-related HCC, of whom 17 had paired pre- and posttreatment samples, and 90 controls. Additionally, in a prospective cohort with hepatitis B virus surface antigen-positive participants recruited in 2012 and followed up biannually with blood sample collections until 2019, we included 270 repeated samples before diagnosis from 63 participants who later developed HCC (pre-HCC samples). Shallow whole-genome sequencing and the ichorCNA method were used to analyze genome-wide copy number and tumor content in ccfDNA. RESULTS High tumor content was associated with advanced tumor stage (P < 0.001) and poor survival after HCC diagnosis [HR = 12.35; 95% confidence interval (CI) = 1.413-107.9; P = 0.023]. Tumor content turned negative after surgery (P = 0.027), whereas it remained positive after transarterial chemoembolization treatment (P = 0.578). In non-HCC samples, the mean tumor content (±SD) was 0.011 (±0.007) and had a specificity of 97.8% (95% CI = 92.2%-99.7%). In pre-HCC samples, the tumor content increased from 0.014 at 4 years before diagnosis to 0.026 at 1 year before diagnosis. The sensitivity of tumor content in detecting HCC increased from 22.7% (95% CI = 11.5%-37.8%) within 1 year before diagnosis to 30.4% (95% CI = 13.2%-52.9%) at the Barcelona Clinic Liver Cancer (BCLC) stage 0/A, 81.8% (95% CI = 59.7%-94.8%) at stage B, and 95.5% (95% CI = 77.2%-99.9%) at stage C. CONCLUSIONS The tumor content in ccfDNA is correlated with tumor burden and may help in monitoring HCC 1 yearearlier than clinical diagnosis and in predicting patient prognosis.
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Affiliation(s)
- Shifeng Lian
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR, People's Republic of China
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Chenyu Lu
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR, People's Republic of China
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Research Institute, Shenzhen, People's Republic of China
| | - Fugui Li
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Xia Yu
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Limei Ai
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR, People's Republic of China
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR, People's Republic of China
| | - Biaohua Wu
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Xueyi Gong
- Department of General Surgery, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Wenjing Zhou
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR, People's Republic of China
| | - Xuejun Liang
- Xiaolan Public Health Service Center, Zhongshan, People's Republic of China
| | - Jiyun Zhan
- Xiaolan Public Health Service Center, Zhongshan, People's Republic of China
| | - Yong Yuan
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Mingfang Ji
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, People's Republic of China
| | - Zongli Zheng
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR, People's Republic of China
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR, People's Republic of China
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Research Institute, Shenzhen, People's Republic of China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Lian S, Lu C, Li F, Yu X, Ai L, Wu B, Gong X, Zhou W, Xie Y, Du Y, Quan W, Wang P, Deng L, Liang X, Zhan J, Yuan Y, Fang F, Liu Z, Ji M, Zheng Z. Circulating DNA genome-wide fragmentation in early detection and disease monitoring of hepatocellular carcinoma. iScience 2024; 27:109701. [PMID: 38680658 PMCID: PMC11053305 DOI: 10.1016/j.isci.2024.109701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/05/2023] [Accepted: 04/05/2024] [Indexed: 05/01/2024] Open
Abstract
Genome-wide circulating cell-free DNA (ccfDNA) fragmentation for cancer detection has been rarely evaluated using blood samples collected before cancer diagnosis. To evaluate ccfDNA fragmentation for detecting early hepatocellular carcinoma (HCC), we first modeled and tested using hospitalized HCC patients and then evaluated in a population-based study. A total of 427 samples were analyzed, including 270 samples collected prior to HCC diagnosis from a population-based study. Our model distinguished hospital HCC patients from controls excellently (area under curve 0.999). A high ccfDNA fragmentation score was highly associated with an advanced tumor stage and a shorter survival. In evaluation, the model showed increasing sensitivities in detecting HCC using 'pre-samples' collected ≥4 years (8.3%), 3-4 years (20.0%), 2-3 years (31.0%), 1-2 years (35.0%), and 0-1 year (36.4%) before diagnosis. These findings suggested ccfDNA fragmentation is sensitive in clinical HCC detection and might be helpful in screening early HCC.
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Affiliation(s)
- Shifeng Lian
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People’s Republic of China
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Chenyu Lu
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People’s Republic of China
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Research Institute, Shenzhen, People’s Republic of China
| | - Fugui Li
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Xia Yu
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Limei Ai
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People’s Republic of China
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People’s Republic of China
| | - Biaohua Wu
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Xueyi Gong
- Department of General Surgery, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Wenjing Zhou
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People’s Republic of China
| | - Yulong Xie
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Yun Du
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Wen Quan
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Panpan Wang
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Li Deng
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Xuejun Liang
- Xiaolan Public Health Service Center, Zhongshan, People’s Republic of China
| | - Jiyun Zhan
- Xiaolan Public Health Service Center, Zhongshan, People’s Republic of China
| | - Yong Yuan
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mingfang Ji
- Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Zongli Zheng
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Sha Tin, Hong Kong SAR of the People’s Republic of China
- Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong SAR of the People’s Republic of China
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Research Institute, Shenzhen, People’s Republic of China
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Do WL, Wang L, Forgues M, Liu J, Rabibhadana S, Pupacdi B, Zhao Y, Gholian H, Bhudhisawasdi V, Pairojkul C, Sukeepaisarnjaroen W, Pugkhem A, Luvira V, Lertprasertsuke N, Chotirosniramit A, Auewarakul CU, Ungtrakul T, Sricharunrat T, Sangrajrang S, Phornphutkul K, Budhu A, Harris CC, Mahidol C, Ruchirawat M, Wang XW. Pan-viral serology uncovers distinct virome patterns as risk predictors of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cell Rep Med 2023; 4:101328. [PMID: 38118412 PMCID: PMC10772458 DOI: 10.1016/j.xcrm.2023.101328] [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: 03/13/2023] [Revised: 07/31/2023] [Accepted: 11/17/2023] [Indexed: 12/22/2023]
Abstract
This study evaluates the pan-serological profiles of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) compared to several diseased and non-diseased control populations to identify risk factors and biomarkers of liver cancer. We used phage immunoprecipitation sequencing, an anti-viral antibody screening method using a synthetic-phage-displayed human virome epitope library, to screen patient serum samples for exposure to over 1,280 strains of pathogenic and non-pathogenic viruses. Using machine learning methods to develop an HCC or iCCA viral score, we discovered that both viral scores were positively associated with several liver function markers in two separate at-risk populations independent of viral hepatitis status. The HCC score predicted all-cause mortality over 8 years in patients with chronic liver disease at risk of HCC, while the viral hepatitis status was not predictive of survival. These results suggest that non-hepatitis viral infections may contribute to HCC and iCCA development and could be biomarkers in at-risk populations.
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Affiliation(s)
- Whitney L Do
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Limin Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Marshonna Forgues
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Jinping Liu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Yongmei Zhao
- Office of Science and Technology Resources, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Heelah Gholian
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | | | | | | | - Vor Luvira
- Khon Kaen University, Khon Kaen, Thailand
| | | | | | | | | | | | | | | | - Anuradha Budhu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Mathuros Ruchirawat
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Center of Excellence on Environmental Health and Toxicology, Office of Higher Education Commission, Ministry of Education, Bangkok, Thailand.
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
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Yang J, Yang Z, Zeng X, Yu S, Gao L, Jiang Y, Sun F. Benefits and harms of screening for hepatocellular carcinoma in high-risk populations: systematic review and meta-analysis. JOURNAL OF THE NATIONAL CANCER CENTER 2023; 3:175-185. [PMID: 39035193 PMCID: PMC11256723 DOI: 10.1016/j.jncc.2023.02.001] [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: 10/25/2022] [Revised: 12/30/2022] [Accepted: 02/03/2023] [Indexed: 12/05/2023] Open
Abstract
Objective The incidence and mortality of hepatocellular carcinoma (HCC) have been increasing around the world. Current guidelines recommend HCC screening in high-risk population. However, the strength of evidence of benefits and harms of HCC screening to support the recommendation was unclear. The objective is to systematically synthesize current evidence on the benefits and harms of HCC screening. Methods We searched PubMed and nine other databases until August 20, 2021. We included cohort studies and RCTs that compared the benefits and harms of screening and non-screening in high-risk population of HCC. Case series studies that reported harms of HCC screening were also included. Pooled risk ratio (RR), according to HCC screening status, was calculated for each benefit outcome (e.g., HCC mortality, survival rate, proportion of early HCC), using head-to-head meta-analysis. The harmful outcomes (e.g., proportion of physiological harms provided by non-comparative studies were pooled by prevalence of meta-analysis. Analysis on publication bias and quality of life, subgroup analysis, and sensitivity analysis were also conducted. Results We included 70 studies, including four random clinical trials (RCTs), 63 cohort studies,three case series studies. The meta-analysis of RCTs showed HCC screening was significantly associated with reduced HCC mortality (RR [risk ratio], 0.73 [95% CI, 0.56-0.96]; I 2 = 75.1%), prolonged overall survival rates (1-year, RR, 1.72 [95% CI, 1.13-2.61]; I 2 = 72.5%; 3-year, RR, 2.86 [95% CI, 1.78-4.58]; I 2 = 10.1%; and 5-year, RR, 2.76 [95% CI, 1.37-5.54]; I 2 = 28.3%), increased proportion of early HCC detection (RR, 2.68 [95% CI, 1.77-4.06]; I 2 = 50.4%). Similarly, meta-analysis of cohort studies indicated HCC screening was more effective than non-screening. However, pooled proportion of physiological harms was 16.30% (95% CI: 8.92%-23.67%) and most harms were of a mild to moderate severity. Conclusion The existing evidence suggests HCC screening is more effective than non-screening in high-risk population. However, harms of screening should not be ignored.
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Affiliation(s)
- Jichun Yang
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhirong Yang
- Primary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridgeshire, UK
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xueyang Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shuqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Le Gao
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Yu Jiang
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Zeng H, Cao M, Xia C, Wang D, Chen K, Zhu Z, Fu R, Zhang S, Zhou J, Wang H, Qi X, Dai S, Chen Y, Sun Z, Ding H, Li Q, Zhao H, Zhang X, Morze J, Ji JS, Sun F, Yu X, Qu C, Chen W. Performance and effectiveness of hepatocellular carcinoma screening in individuals with HBsAg seropositivity in China: a multicenter prospective study. NATURE CANCER 2023; 4:1382-1394. [PMID: 37667043 DOI: 10.1038/s43018-023-00618-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 07/19/2023] [Indexed: 09/06/2023]
Abstract
Current guidelines recommend hepatocellular carcinoma (HCC) surveillance for at-risk individuals, including individuals with hepatitis B virus infection. However, the performance and survival benefits of annual screening have not been evaluated through multicenter prospective studies in a Chinese population. Between 2017 and 2021, we included 14,426 participants with hepatitis B surface antigen seropositivity in an annual HCC screening study in China using a multicenter prospective design with ultrasonography and serum alpha-fetoprotein. After four rounds of screening and follow-up, the adjusted hazard ratios of death after correction for lead-time and length-time biases for screen-detected cancers at the prevalent and incident rounds were 0.74 (95% confidence interval = 0.60-0.91) and 0.52 (95% confidence interval = 0.40-0.68), respectively. A meta-analysis demonstrated that HCC screening was associated with improved survival after adjusting for lead-time bias. Our findings highlight the 'real-world' feasibility and effectiveness of annual HCC screening in community settings for the early detection of HCC and to improve survival.
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Affiliation(s)
- Hongmei Zeng
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Maomao Cao
- 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, People's Republic of China
| | - 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, People's Republic of China
| | - Dongmei Wang
- State Key Laboratory of Molecular Oncology and Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Kun Chen
- State Key Laboratory of Molecular Oncology and Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Zheng Zhu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Ruiying Fu
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Shaokai Zhang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, People's Republic of China
| | - Jinyi Zhou
- Department for Chronic Non-communicable Diseases Control, Jiangsu Provincial Center for Disease Control and Prevention (Public Health Research Institute of Jiangsu Province), Nanjing, People's Republic of China
| | - Huadong Wang
- Department of Chronic Non-communicable Diseases Prevention and Treatment, Anhui Provincial Center for Disease Control and Prevention, Hefei, People's Republic of China
| | - Xianyun Qi
- Department of Chronic Non-communicable Diseases Prevention and Treatment, Yingdong Center for Disease Control and Prevention, Fuyang, People's Republic of China
| | - Shuguang Dai
- Sheyang Center for Disease Control and Prevention, Yancheng, People's Republic of China
| | - Yong Chen
- Binhai Center for Disease Control and Prevention, Yancheng, People's Republic of China
| | - Zhong Sun
- Dancheng Center for Disease Control and Prevention, Zhoukou, People's Republic of China
| | - Hao Ding
- Mengcheng Center for Disease Control and Prevention, Bozhou, People's Republic of China
| | - Qingwen Li
- Shenqiu Center for Disease Control and Prevention, Zhoukou, People's Republic of China
| | - Hui Zhao
- Lingbi Center for Disease Control and Prevention, Suzhou, People's Republic of China
| | - Xuehong Zhang
- Department of Nutrition, Harvard University, Cambridge, MA, USA
| | - Jakub Morze
- Department of Cardiology and Internal Medicine, College of Medical Sciences, SGMK University, Olsztyn, Poland
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, People's Republic of China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, Peking University, Beijing, People's Republic of China
| | - Xueqin Yu
- The Daffodil Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Chunfeng Qu
- State Key Laboratory of Molecular Oncology and Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of 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, People's Republic of China.
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Zheng K, Dai L, Zhao Y, Li L, Li W, Zhang X, Su Q, Wu R, Jiang Y, Chen Y, Ran J. Methylated SEPT9 combined with AFP and PIVKA-II is effective for the detection of HCC in high-risk population. BMC Gastroenterol 2023; 23:260. [PMID: 37525116 PMCID: PMC10388499 DOI: 10.1186/s12876-023-02900-6] [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: 01/23/2023] [Accepted: 07/24/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND The methylation SEPT9 (mSEPT9) appeared to be effective for hepatocellular carcinoma (HCC) detection. However, its performance in high-risk population has not been validated. We designed a pilot study and aimed to investigate the performance of mSEPT9, AFP, PIVKA-II and their combination in hepatic cirrhosis (HC) population. METHODS A training cohort was established including 103 HCC and 114 HC patients. 10 ml blood was collected from each patient with K2EDTA tubes, and 3-4 ml plasma was extracted for subsequent tests. The performance of mSEPT9, AFP, PIVKA-II and their combination was optimized by the training cohort. Test performance was prospectively validated with a validation cohort, including 51 HCC and 121 HC patients. RESULTS At the optimal thresholds in the training cohort, the sensitivity, specificity and area under curve (AUC) was 72.82%, 89.47%, 0.84, and 48.57%, 89.92%, 0.79, and 63.64%, 95.95%, 0.79 for mSEPT9, AFP and PIVKA-II, respectively. The combined test significantly increased the sensitivity to 84.47% (P < 0.05) at the specificity of 86.84% with an AUC of 0.91. Stage-dependent performance was observed with all single markers and their combination in plasma marker levels, positive detection rate (PDR) and AUC. Moderate correlation was found between mSEPT9 and AFP plasma levels (r = 0.527, P < 0.0001). Good complementarity was found between any two of the three markers, providing optimal sensitivity in HCC detection when used in combination. Subsequent validation achieved a sensitivity, specificity and AUC of 65.31%, 92.86%, 0.80, and 44.24%, 89.26%, 0.75, and 62.22%, 95.27%, 0.78 for mSEPT9, AFP and PIVKA-II, respectively. The combined test yielded a significantly increased sensitivity of 84.00% (P < 0.05) at 85.57% specificity, with an AUC at 0.89. CONCLUSIONS The performance was optimal by the combination of mSEPT9, AFP, PIVKA-II compared with any single marker, and the combination may be effective for HCC opportunistic screening in HC population.
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Affiliation(s)
- Kepu Zheng
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Leiyang Dai
- Department of Clinical laboratory, Kunming Children's Hospital, Kunming, Yunnan, 650000, China
| | - Yingpeng Zhao
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Laibang Li
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Wang Li
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Xibing Zhang
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Qiuming Su
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Ruichao Wu
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Yizhou Jiang
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Yonglin Chen
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China
| | - Jianghua Ran
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Calmette Hospital of Kunming Medical University, The First People's Hospital of Kunming, Kunming, Yunnan, 650000, China.
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Du Y, Yu X, Chang ET, Lian S, Wu B, Li F, Chu B, Wei K, Zhan J, Liang X, Ye W, Ji M. Pre-diagnostic anti-EBV antibodies and primary liver cancer risk: a population-based nested case-control study in southern China. BMC Cancer 2023; 23:250. [PMID: 36922768 PMCID: PMC10015780 DOI: 10.1186/s12885-023-10709-5] [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: 11/10/2022] [Accepted: 03/06/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND We aimed to investigate associations between pre-diagnostic anti-Epstein-Barr virus (EBV) antibodies, including interactions with hepatitis B virus (HBV), and risk of primary liver cancer in southern China. METHODS In a population-based nested case-control study, we measured pre-diagnostic immunoglobulin A (IgA) against EBV nuclear antigen 1 (EBNA1) and viral capsid antigen (VCA) in 125 primary liver cancer cases and 2077 matched controls. We also explored the interaction between HBV surface antigen (HBsAg) and anti-EBV antibodies. RESULTS Participants with positive EBNA1-IgA, positive VCA-IgA or single-positive anti-EBV antibodies had two-fold odds of developing liver cancer, compared with seronegative subjects. The odds ratios (ORs) between the relative optical density of EBNA1-IgA and VCA-IgA and primary cancer, controlling for age and HBsAg, were 1.59 (95% confidence interval (CI): 1.17, 2.14) and 1.60 (95% CI: 1.07, 2.41), respectively. Subjects with both HBsAg and anti-EBV antibody seropositivity were at 50-fold increased risk compared with those negative for both biomarkers (OR: 50.67, 95% CI: 18.28, 140.46), yielding a relative excess risk due to interaction of 30.81 (95% CI: 3.42, 114.93). CONCLUSION Pre-diagnostic seropositivity for EBNA1-IgA and/or VCA-IgA was positively associated with primary liver cancer risk, especially in combination with HBsAg positivity. EBV may interact with HBV in the development of primary liver cancer, and anti-EBV antibodies might be potential biomarkers for primary liver cancer in this high-risk population.
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Affiliation(s)
- Yun Du
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Xia Yu
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California, California, USA
| | - Shifeng Lian
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Biaohua Wu
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China
| | - Fugui Li
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China
| | - Bing Chu
- Department of Pathology, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China
| | - Kuangrong Wei
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China
| | - Jiyun Zhan
- Xiaolan Public Health Service Center, Zhongshan, 528400, People's Republic of China
| | - Xuejun Liang
- Xiaolan Public Health Service Center, Zhongshan, 528400, People's Republic of China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden.
| | - Mingfang Ji
- Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, 528400, People's Republic of China.
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8
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Feng R, Su Q, Huang X, Basnet T, Xu X, Ye W. Cancer situation in China: what does the China cancer map indicate from the first national death survey to the latest cancer registration? Cancer Commun (Lond) 2023; 43:75-86. [PMID: 36397729 PMCID: PMC9859730 DOI: 10.1002/cac2.12393] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/06/2022] [Accepted: 11/04/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Over the past four decades, the Chinese government has conducted three surveys on the distribution of causes of death and built cancer registration. In order to shine a new light on better cancer prevention strategies in China, we evaluated the profile of cancer mortality over the forty years and analyzed the policies that have been implemented. METHODS We described spatial and temporal changes in both cancer mortality and the ranking of major cancer types in China based on the data collected from three national surveys during 1973-1975, 1990-1992, 2004-2005, and the latest cancer registration data published by National Central Cancer Registry of China. The mortality data were compared after conversion to age-standardized mortality rates based on the world standard population (Segi's population). The geographical distribution characteristics were explored by marking hot spots of different cancers on the map of China. RESULTS From 1973 to 2016, China witnessed an evident decrease in mortality rate of stomach, esophageal, and cervical cancer, while a gradual increase was recorded in lung, colorectal, and female breast cancer. A slight decrease of mortality rate has been observed in liver cancer since 2004. Lung and liver cancer, however, have become the top two leading causes of cancer death for the last twenty years. From the three national surveys, similar profiles of leading causes of cancer death were observed among both urban and rural areas. Lower mortality rates from esophageal and stomach cancer, however, have been demonstrated in urban than in rural areas. Rural areas had similar mortality rates of the five leading causes of cancer death with the small urban areas in 1973-1975. Additionally, rural areas in 2016 also had approximate mortality rates of the five leading causes with urban areas in 2004-2005. Moreover, stomach, esophageal, and liver cancer showed specific geographical distributions. Although mortality rates have decreased at most of the hotspots of these cancers, they were still higher than the national average levels during the same time periods. CONCLUSIONS Building up a strong primary public health system especially among rural areas may be one critical step to reduce cancer burden in China.
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Affiliation(s)
- Ruimei Feng
- Department of EpidemiologySchool of Public HealthShanxi Medical UniversityTaiyuanShanxiP. R. China
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Qingling Su
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Xiaoyin Huang
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Til Basnet
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Xin Xu
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Weimin Ye
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
- Department of Medical Epidemiology and BiostatisticsKarolinska InstituteStockholmSweden
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9
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Wang Z, Wang J, Liu G. Bridging the preoperative gap of precision hepatectomy: Superstable homogeneous iodinated formulation technology. J Interv Med 2021; 4:8-10. [PMID: 34805940 PMCID: PMC8562227 DOI: 10.1016/j.jimed.2020.10.010] [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] [Received: 08/21/2020] [Revised: 10/01/2020] [Accepted: 10/10/2020] [Indexed: 11/24/2022] Open
Abstract
The in-situ post-embolization fluorescence-guided hepatectomy for hepatocellular carcinoma (HCC) requires precise embolic formulation that meets both preoperative and intraoperative needs of hepatobiliary surgeons. In this Editorial, we highlight the development of Superstable Homogeneous Iodinated Formulation Technology (SHIFT) for locoregional HCC treatment. It is believed that such an intelligent solution could resolve unmet formulation needs and make a major stride to bridge the preoperative gap of precision hepatectomy.
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Affiliation(s)
- Zhe Wang
- Department of Pathology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Junqing Wang
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Gang Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
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10
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Yu C, Song C, Lv J, Zhu M, Yu C, Guo Y, Yang L, Chen Y, Chen Z, Jiang T, Ma H, Jin G, Shen H, Hu Z, Li L. Prediction and clinical utility of a liver cancer risk model in Chinese adults: A prospective cohort study of 0.5 million people. Int J Cancer 2021; 148:2924-2934. [PMID: 33521941 PMCID: PMC7615014 DOI: 10.1002/ijc.33487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 01/15/2021] [Indexed: 12/25/2022]
Abstract
China has made rapid progress in reducing the incidence of HBV infection in the past three decades, along with a rapidly changing lifestyle and aging population. We aimed to develop and validate an up-to-date liver cancer risk prediction model with routinely available predictors and evaluate its applicability for screening guidance. Using data from the China Kadoorie Biobank, we included 486 285 participants in this analysis. Fifteen risk factors were included in the model. Flexible parametric survival models were used to estimate the 10-year absolute risk of liver cancer. Decision curve analysis was performed to evaluate the net benefit of the model to quantify clinical utility. A total of 2706 participants occurred liver cancer over the 4 814 320 person-years of follow-up. Excellent discrimination of the model was observed in both development and validation datasets, with c-statistics (95% CI) of 0.80 (0.79-0.81) and 0.80 (0.78-0.82) respectively, as well as excellent calibration of observed and predicted risks. Decision curve analysis revealed that use of the model in selecting participants for screening improved benefit at a threshold of 2% 10-year risk, compared to current guideline of screening all HBsAg carriers. Our model was more sensitive than current guideline for cancer screening (28.17% vs 25.96%). We developed and validated a CKB-PLR (Prediction for Liver cancer Risk Based on the China Kadoorie Biobank Study) model to predict the absolute risk of liver cancer for both HBsAg seropositive and seronegative populations. Application of the model is beneficial for precisely identifying the high-risk groups among the general population.
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Affiliation(s)
- Chengxiao Yu
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Ci Song
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Meng Zhu
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tao Jiang
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Hongxia Ma
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Guangfu Jin
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Hongbing Shen
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Zhibin Hu
- Department of Epidemiology, China International Cooperation Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
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11
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Cao M, Li H, Sun D, He S, Yu Y, Li J, Chen H, Shi J, Ren J, Li N, Chen W. Cancer screening in China: The current status, challenges, and suggestions. Cancer Lett 2021; 506:120-127. [PMID: 33684533 DOI: 10.1016/j.canlet.2021.02.017] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/29/2021] [Accepted: 02/22/2021] [Indexed: 12/14/2022]
Abstract
Substantial progress has been made in cancer screening in China due to the substantial efforts of all levels of the government. Four large-scale population-based screening programs have been launched since 2005. In these programs, individuals at high risk for the most common types of cancer are screened with no cost. However, there are still wide gaps remaining between the cancer screening objectives and reality. In this review, we summarize the current status of cancer screening, identify the major achievements and challenges of cancer screening, and propose some suggested improvements based on the existing evidence. The main challenges include low participation rates, the uneven distribution of medical sources, inadequate funding, and insufficient screening quality. Some suggestions that should be considered to improve the quality of cancer screening include advertising to increase awareness, providing universal training of staff involved in screening programs, optimizing the definition of high-risk populations, integrating new technologies into cancer screening programs, and implementing appropriate management measures among individuals with positive screening results.
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Affiliation(s)
- Maomao Cao
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - He Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Dianqin Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Siyi He
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yiwen Yu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jiang Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hongda Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jufang Shi
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jiansong Ren
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wanqing Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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12
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Wang Y, Wang M, Li H, Chen K, Zeng H, Bi X, Zhu Z, Jiao Y, Wang Y, Zhu J, Zhao H, Liu X, Dai C, Fan C, Zhao C, Guo D, Zhao H, Zhou J, Wang D, Wu Z, Zhao X, Cui W, Zhang X, Cai J, Chen W, Qu C. A male-ABCD algorithm for hepatocellular carcinoma risk prediction in HBsAg carriers. Chin J Cancer Res 2021; 33:352-363. [PMID: 34321832 PMCID: PMC8286891 DOI: 10.21147/j.issn.1000-9604.2021.03.07] [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] [Received: 02/18/2021] [Accepted: 04/28/2021] [Indexed: 11/28/2022] Open
Abstract
Objective Hepatocellular carcinoma (HCC) development among hepatitis B surface antigen (HBsAg) carriers shows gender disparity, influenced by underlying liver diseases that display variations in laboratory tests. We aimed to construct a risk-stratified HCC prediction model for HBsAg-positive male adults. Methods HBsAg-positive males of 35−69 years old (N=6,153) were included from a multi-center population-based liver cancer screening study. Randomly, three centers were set as training, the other three centers as validation. Within 2 years since initiation, we administrated at least two rounds of HCC screening using B-ultrasonography and α-fetoprotein (AFP). We used logistic regression models to determine potential risk factors, built and examined the operating characteristics of a point-based algorithm for HCC risk prediction. Results With 2 years of follow-up, 302 HCC cases were diagnosed. A male-ABCD algorithm was constructed including participant’s age, blood levels of GGT (γ-glutamyl-transpeptidase), counts of platelets, white cells, concentration of DCP (des-γ-carboxy-prothrombin) and AFP, with scores ranging from 0 to 18.3. The area under receiver operating characteristic was 0.91 (0.90−0.93), larger than existing models. At 1.5 points of risk score, 26.10% of the participants in training cohort and 14.94% in validation cohort were recognized at low risk, with sensitivity of identifying HCC remained 100%. At 2.5 points, 46.51% of the participants in training cohort and 33.68% in validation cohort were recognized at low risk with 99.06% and 97.78% of sensitivity, respectively. At 4.5 points, only 20.86% of participants in training cohort and 23.73% in validation cohort were recognized at high risk, with positive prediction value of 22.85% and 12.35%, respectively. Conclusions Male-ABCD algorithm identified individual’s risk for HCC occurrence within short term for their HCC precision surveillance.
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Affiliation(s)
- Yuting Wang
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Minjie Wang
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - He Li
- 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 100021, China
| | - Kun Chen
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hongmei Zeng
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xinyu Bi
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zheng Zhu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yuchen Jiao
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yong Wang
- Department of Ultrasonography, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jian Zhu
- Qidong Liver Cancer Institute & Qidong People's Hospital, Qidong 226200, China
| | - Hui Zhao
- Lingbi Center for Disease Control and Prevention, Suzhou 234200, China
| | - Xiang Liu
- Mengcheng Center for Disease Control and Prevention, Bozhou 233500, China
| | - Chunyun Dai
- Sheyang Center for Disease Control and Prevention, Yancheng 224300, China
| | - Chunsun Fan
- Qidong Liver Cancer Institute & Qidong People's Hospital, Qidong 226200, China
| | - Can Zhao
- Shenqiu County Center for Disease Control and Prevention, Zhoukou 411624, China
| | - Deyin Guo
- Dancheng Center for Disease Control and Prevention, Zhoukou 477150, China
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jianguo Zhou
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Dongmei Wang
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zhiyuan Wu
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wei Cui
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.,Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Jianqiang Cai
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, 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 100021, China
| | - Chunfeng Qu
- State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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13
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Shi JF, Cao M, Wang Y, Bai FZ, Lei L, Peng J, Feletto E, Canfell K, Qu C, Chen W. Is it possible to halve the incidence of liver cancer in China by 2050? Int J Cancer 2020; 148:1051-1065. [PMID: 32997794 DOI: 10.1002/ijc.33313] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/01/2020] [Accepted: 09/15/2020] [Indexed: 12/22/2022]
Abstract
A substantial proportion of liver cancers is attributable to chronic infection with hepatitis B and C (HBV/HCV). Liver cancer could become the second cancer, after cervical, to be effectively controlled globally, if proven interventions such as vaccination can be implemented on a large scale. In 2018, the global mortality rate for liver cancer was estimated to be 8.5 per 100 000 individuals. Given patterns of HBV infection and immigration across countries, liver cancer control requires combined, global action. Liver cancer trends vary between countries, in some Western countries, the incidence rates were relatively low but have increased in recent decades; conversely, in several Asian countries, the incidence rates have decreased over time. China has in the past contributed more than half of the global burden of liver cancer but more recently a national decline in liver cancer incidence has been observed. Here, we review the liver cancer burden and exposure to risk factors in China, compared to other countries. We also review the implementation status for primary and secondary prevention interventions and major outcomes achieved over the past three decades. Using Bayesian age-period-cohort analysis, we examine recent trends and based on these, predict that by 2050, the incidence of liver cancer in China could fall by half. We additionally survey the literature to identify current research needs, and review relevant national policies on liver cancer control in China. A comprehensive set of interventions is proposed to progress toward the long-term goal of liver cancer elimination based on the natural history and evidence-based interventions.
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Affiliation(s)
- Ju-Fang Shi
- 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
| | - Maomao Cao
- 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
| | - Yuting Wang
- State Key Lab of Molecular Oncology/Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fang-Zhou Bai
- 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
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Ji Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Eleonora Feletto
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia.,School of Public Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Karen Canfell
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia.,School of Public Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Chunfeng Qu
- State Key Lab of Molecular Oncology/Department of Immunology, 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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14
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Shan QL, Chen NN, Meng GZ, Qu F. Overexpression of lncRNA MT1JP Mediates Apoptosis and Migration of Hepatocellular Carcinoma Cells by Regulating miR-24-3p. Cancer Manag Res 2020; 12:4715-4724. [PMID: 32606962 PMCID: PMC7308148 DOI: 10.2147/cmar.s249582] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 04/23/2020] [Indexed: 12/24/2022] Open
Abstract
Objective This study aimed to determine the effects of the long non-coding (lnc) RNA MT1JP on the apoptosis and migration of hepatocellular carcinoma cells. Patients and Methods Patients with liver cancer admitted to the Second People’s Hospital of Liaocheng were included in this study. We transfected hepatocellular carcinoma cells with MT1JP and miR-24-3p and assessed their expression and effects on apoptosis and migration. Correlations were verified using a dual-luciferase reporter and RNA-binding protein coimmunoprecipitation. Results The expression of MT1JP was downregulated (P < 0.05), whereas that of miR-24-3p was upregulated in liver cancer. Serum MT1JP levels were correlated with tumor size, alpha-fetoprotein (AFP), TNM stage, differentiation, and lymph node metastasis. Both MT1JP overexpression and miR-24-3p inhibition inhibited cellular proliferation and migration and increased apoptosis rates. They significantly downregulated expression of the cell migration-associated proteins matrix metalloproteinase -2, -9 (MMP-2, MMP-9) (P < 0.05). They upregulated the expression of Bcl-2-related X protein (Bax) and cysteinyl aspartate-specific proteinases (Caspase-3 and -9) proteins that are involved in apoptosis. They decreased expression of B-cell lymphoma/leukemia-2 (Bcl-2; P < 0.05). A target relationship between MT1JP and miR-24-3p was identified using dual-luciferase gene reporter assays and RNA-binding protein coimmunoprecipitations. MT1JP overexpression significantly downregulated miR-24-3p expression (P < 0.05). MT1JP and miR-24-3p expression were negatively correlated in liver cancer tissues (r = −0.561, P < 0.001; Pearson χ2 tests). Rescue experiments showed that upregulating miR-24-3p expression could counteract MT1JP overexpression in hepatocellular carcinoma cells. Conclusion MT1JP, even when expressed at low levels, participates in the proliferation, apoptosis, and migration of liver cancer cells by regulating miR-24-3p.
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Affiliation(s)
- Qiu-Li Shan
- College of Biological Science and Technology, University of Jinan, Jinan, Shandong Province 250022, People's Republic of China
| | - Ning-Ning Chen
- College of Biological Science and Technology, University of Jinan, Jinan, Shandong Province 250022, People's Republic of China
| | - Gui-Zhi Meng
- Department of Pediatrics, The Second People's Hospital of Liaocheng, Liaocheng City, Shandong Province, People's Republic of China
| | - Fan Qu
- College of Biological Science and Technology, University of Jinan, Jinan, Shandong Province 250022, People's Republic of China
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15
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Cao M, Li H, Sun D, Chen W. Cancer burden of major cancers in China: A need for sustainable actions. Cancer Commun (Lond) 2020; 40:205-210. [PMID: 32359212 PMCID: PMC7667573 DOI: 10.1002/cac2.12025] [Citation(s) in RCA: 250] [Impact Index Per Article: 62.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 03/31/2020] [Indexed: 01/04/2023] Open
Abstract
Cancer is still a major health problem in China although numerous efforts have been made for its prevention and control. Findings from this study showed that lung cancer remains the most common type of cancer diagnosed, and was attributed to nearly 30% of all cancer-related deaths. The incidence of the five most common cancers, in China, in 2015, including cancers of the lungs, stomach, colorectum, liver and breast, accounted for almost 60% of all cancers diagnosed. The high cancer burden in China highlights the need for further improvement in health education, professional training and the building up an anti-cancer network for introducing and implementing sustainable actions for cancer control.
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Affiliation(s)
- Maomao Cao
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - He Li
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Dianqin Sun
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Wanqing Chen
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
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16
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Qu C, Jiao Y, Wang Y. A liquid biopsy assay for identifying early-stage hepatocellular carcinoma in asymptomatic HBsAg-seropositive individuals. Mol Cell Oncol 2019; 6:e1614419. [PMID: 31528693 DOI: 10.1080/23723556.2019.1614419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 04/27/2019] [Accepted: 04/30/2019] [Indexed: 01/01/2023]
Abstract
Biannual screening of hepatocellular carcinoma (HCC) by ultrasonography and serum α-fetoprotein has been proposed to the HBsAg-seropositive individuals. The widespread application to all of them was restricted due to limited acceptability of resource and anxiety-producing procedures. We recently developed a novel liquid biopsy assay to identify HCC cases in asymptomatic HBsAg-positive individuals.
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Affiliation(s)
- Chunfeng Qu
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuchen Jiao
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuting Wang
- 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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