Tomi Akinyemiju1, Semaw Abera2,3, Muktar Ahmed4, Noore Alam5,6, Mulubirhan Assefa Alemayohu7, Christine Allen8, Rajaa Al-Raddadi9, Nelson Alvis-Guzman10, Yaw Amoako11, Al Artaman12, Tadesse Awoke Ayele13, Aleksandra Barac14, Isabela Bensenor15, Adugnaw Berhane16, Zulfiqar Bhutta17,18, Jacqueline Castillo-Rivas19, Abdulaal Chitheer20, Jee-Young Choi21, Benjamin Cowie22, Lalit Dandona8,23, Rakhi Dandona8,23, Subhojit Dey24, Daniel Dicker8, Huyen Phuc25, Donatus U. Ekwueme26, Maysaa El Sayed Zaki27, Florian Fischer28, Thomas Fürst29,30,31, Jamie Hancock8, Simon I. Hay8, Peter Hotez32,33, Sun Ha Jee34, Amir Kasaeian35, Yousef Khader36, Young-Ho Khang37, Anil Kumar38, Michael Kutz8, Heidi Larson39, Alan Lopez8,40, Raimundas Lunevicius41,42, Reza Malekzadeh43, Colm McAlinden44, Toni Meier45, Walter Mendoza46, Ali Mokdad8, Maziar Moradi-Lakeh47,48, Gabriele Nagel49, Quyen Nguyen25, Grant Nguyen8, Felix Ogbo50,51, George Patton52, David M. Pereira53, Farshad Pourmalek54, Mostafa Qorbani55, Amir Radfar56, Gholamreza Roshandel57, Joshua A Salomon58, Juan Sanabria59,60, Benn Sartorius61, Maheswar Satpathy62,63, Monika Sawhney64, Sadaf Sepanlou43, Katya Shackelford8, Hirbo Shore65, Jiandong Sun66, Desalegn Tadese Mengistu67, Roman Topór-Mądry68,69, Bach Tran70,71, Vasiliy Vlassov72, Stein Emil Vollset73,74, Theo Vos8, Tolassa Wakayo75, Elisabete Weiderpass76,77,78, Andrea Werdecker79, Naohiro Yonemoto80, Mustafa Younis81,82, Chuanhua Yu83, Zoubida Zaidi84,85, Liguo Zhu86, Christopher J. L. Murray8, Mohsen Naghavi8, Christina Fitzmaurice8,87. 1. School of Public Health, Birmingham, University of Alabama at Birmingham 2. Mekelle University, School of Public Health, College of Health Sciences, Mekelle, Tigray, Ethiopia 3. University of Hohenheim, Institute of Biological Chemistry and Nutrition, Stuttgart, Baden Württemberg, Germany 4. Jimma University Institute of Health, Department of Epidemiology, Jimma, Oromiya, Ethiopia 5. Department of Health, Queensland Government, Herston, QLD, Australia 6. University of Queensland, School of Public Health, Herston, QLD, Australia 7. Mekelle University Epidemiology, Mekelle, TNRS, Ethiopia 8. University of Washington, Institute for Health Metrics and Evaluation, Seattle 9. Ministry of Health Research Department, Jeddah, Saudi Arabia 10. Universidad de Cartagena, Grupo de Investigación en Economía de la Salud, Cartagena, Bolivar, Colombia 11. Komfo Anokye Teaching Hospital, Department of Medicine, Bantama, Ghana 12. University of Manitoba, Community Health Sciences, Winnipeg, Manitoba, Canada 13. University of Gondar, Epidemiology and Biostatistics, Gondar, Ethiopia 14. Clinical Center of Serbia, Clinic for Infectious and Tropic Diseases, Belgrade, Serbia 15. Hospital Universitário, University of São Paulo Division of Internal Medicine, São Paulo, São Paulo, Brazil 16. Debre Berhan University, College of Health Sciences, Debre Berhan, Amhara, Ethiopia 17. Aga Khan University, Centre of Excellence in Women & Child, Karachi, Sindh, Pakistan 18. The Hospital for Sick Children, Centre for Global Child Health, Toronto, Ontario, Canada 19. Caja Costarricense de Seguro Social, Dirección Actuarial y Economica, San Jose, San Jose, Costa Rica 20. Iraq MOH FETP, MOH, Baghdad, Iraq 21. Seoul National University, College of Medicine Medical Library, Seoul, South Korea 22. Doherty Institute, WHO Collaborating Centre for Viral Hepatitis, Melbourne, Victoria, Australia 23. Public Health Foundation of India, Research, Gurgaon, NCR, India 24. Indian Institute of Public Health-Delhi, Environmental and Occupational Health, Gurgaon, Haryana, India 25. Duy Tan University, Institute for Global Health Innovations, Da Nang, Vietnam 26. Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia 27. Clinical Pathology Department, Mansoura Faculty of Medicine, Mansoura, Egypt 28. Bielefeld University, School of Public Health, Bielefeld, Germany 29. Swiss Tropical and Public Health Institute, Epidemiology and Public Health, Basel, Switzerland 30. University of Basel, Switzerland 31. Imperial College London, School of Public Health, London, England 32. Baylor College of Medicine, National School of Tropical Medicine, Houston, Texas 33. Sabin Vaccine Institute & Texas Children's Hospital Center for Vaccine Development, Houston 34. Graduate School of Public Health, Yonsei University, Epidemiology and Health Promotion, Seoul, South Korea 35. Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran, Tehran, Iran 36. Jordan University of Science and Technology, Public Health, Irbid, Irbid, Jordan 37. Seoul National University College of Medicine, Institute of Health Policy and Management, Seoul, Seoul Metropolitan City, South Korea 38. Public Health Foundation of India Research, Gurgaon (NCR), Haryana, India 39. Department Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, England 40. University of Melbourne, Melbourne School of Population and Global Health, Melbourne, VIC, Australia 41. Aintree University Hospital NHS Foundation Trust, General Surgery Department, Liverpool, England 42. School of Medicine, University of Liverpool, Liverpool, England 43. Tehran University of Medical Sciences, Digestive Diseases Research Institute, Tehran, Tehran, Iran 44. University Hospitals Bristol, Department of Medicine, Bristol, England 45. Martin Luther University Halle-Wittenberg, Institute for Agricultural and Nutritional Sciences, Halle (Saale), Germany 46. UNFPA Peru Country Office, Lima, Peru 47. Iran University of Medical Sciences, Gastrointestinal and Liver Disease Research Center, Tehran, Tehran, Iran 48. Iran University of Medical Sciences, Preventive Medicine and Public Health Research Center, Tehran, Tehran, Iran 49. Ulm University, Institute of Epidemiology and Medical Biometry, Ulm, Germany 50. Western Sydney University, Centre for Health Research, School of Medicine, Penrith, NSW, Australia 51. Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia 52. University of Melbourne, Paediatrics, Melbourne, Victoria, Australia 53. REQUIMTE/LAQV, Laboratório de Farmacognosia, Departamento de Química, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal 54. Department of Urology, University of British Columbia, Vancouver, British Columbia, Canada 55. Alborz University of Medical Sciences, Noncommunicable Diseases Research Center, Karaj, Alborz, Iran 56. A. T. Still University, College of Graduate Health Studies, Mesa, Arizona 57. Golestan University of Medical Sciences, Golestan Research Center of Gastroenterology and Hepatology, Gorgan, Iran 58. Harvard T.H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts 59. Marshall University School of Medicine, Surgery, Huntington, West Virginia 60. Case Western Reserve University, Nutrition and Preventive Medicine, Ohio 61. University of KwaZulu-Natal, Public Health Medicine, Durban, KwaZulu-Natal, South Africa 62. Utkal University, Centre for Advanced Study in Psychology, Bhubaneswar, Odisha, India 63. AIIMS New Delhi, JPN Apex Trauma Centre, New Delhi, Delhi, India 64. Marshall University Public Health, Huntington, West Virginia 65. Haramaya University School of Public Health, Harari, Harari, Ethiopia 66. Queensland University of Technology, School of Public Health and Social Work, Brisbane, Queensland, Australia 67. Mekelle University, Institute of Biomedical Sciences, Mekelle, Tigrai, Ethiopia 68. Faculty of Health Sciences Jagiellonian University Medical College, Institute of Public Health, Kraków, Poland 69. Faculty of Health Sciences Wroclaw Medical University, Wroclaw, Poland 70. Hanoi Medical University, Institute for Preventive Medicine and Public Health, Hanoi, Vietnam 71. Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland 72. Department of Health Care Administration and Economy, National Research University Higher School of Economics, Moscow, Russia 73. Norwegian Institute of Public Health, Centre for Disease Burden, Bergen, Norway 74. University of Bergen, Department of Global Public Health and Primary Care, Bergen, Norway 75. Jimma University, Population and Family Health, Oromia, Ethiopia 76. Cancer Registry of Norway, Institute of Population Based Cancer Research, Oslo, Norway 77. University of Tromsø, The Arctic University of Norway, Department of Community Medicine, Faculty of Health Sciences, Tromsø, Norway 78. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden 79. Federal Institute for Population Research, Competence Center Mortality-Follow-Up of the National Cohort, Wiesbaden, Hesse, Germany 80. Kyoto University, School of Public Health Biostatistics, Sakyo, Kyoto, Japan 81. Jackson State University, Health Policy & Management, Jackson, Mississippi 82. Harvard Asia Aging Center, Harvard Medical School, Boston, Massachuetts 83. Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, Hubei Province, China 84. Department of Epidemiology, University Hospital of Setif, Setif, Algeria 85. University Ferhat Abbas, Faculty of Medicine, Setif, Algeria 86. Jiangsu Provincial Center for Disease Control and Prevention, Major Project Execution Office, Nanjing, Jiangsu, China 87. Division of Hematology, Department of Medicine, University of Washington, Seattle
Liver cancer was the fourth leading cause of cancer death in 2015 after lung, colorectal, and stomach cancer. The most common type of primary liver cancer globally is hepatocellular carcinoma, followed by cholangiocarcinoma. Liver cancer burden varies markedly by sex and geographic region due to risk factor exposure. Major risk factors include infections (hepatitis B virus [HBV], hepatitis C virus [HCV], liver flukes in endemic areas), behavioral factors (alcohol, tobacco), metabolic factors (excess body fatness), and aflatoxins.As part of the Sustainable Development Goals and World Health Organization strategies for noncommunicable diseases and viral hepatitis, primary prevention targets include eliminating viral hepatitis as a major public health threat by 2030, reducing the harmful use of alcohol and tobacco, and controlling diabetes and obesity. Because of the lag between risk factor exposure and development of liver cancer, even best-case scenarios of these prevention approaches are unlikely to reduce the number of patients with liver cancer that health care systems have to accommodate in the foreseeable future. The analysis of liver cancer as part of the Global Burden of Disease (GBD) 2015 study therefore serves 2 main purposes: first, to provide detailed information on liver cancer etiologies and their trends over time, without which targeted prevention strategies are impossible to design and to evaluate; and second, to promote strategic investments into research and clinical resources.Prior studies analyzing liver cancer burden have either focused on single countries or regions, single years, or a subset of the most common etiologies like HBV and HCV. To our knowledge, no prior study has provided estimates for all countries, over time, covering the main risk factors for liver cancer. In this study we report results of the GBD 2015 study on primary liver cancer incidence, mortality, and disability-adjusted life-years (DALYs) for 195 countries or territories from 1990 to 2015 by sex, as well as on the burden of liver cancer attributable to HBV, HCV, alcohol, and a remaining “other” group that encompasses residual causes.
Methods
General methods for the GBD 2015 study have been published previously. Herein, we present methods pertaining to the liver cancer estimation. Descriptions of the estimation process are available in the eAppendix in Supplement 1 (eFigure 1, eFigure 2, and eTable 1).The estimation process starts with liver cancer mortality, which we estimated using vital registration system data and cancer registry incidence data that were transformed to mortality estimates using separately modeled mortality-to-incidence ratios. Data were processed to adjust for aggregated causes, age groups, or uninformative causes of death. Liver cancer mortality was modeled by developing a large set of plausible models using different model types and combinations of covariates, that were tested using out-of-sample predictive validity (eTable 3 and eTable 4 in Supplement 1). The 2.5% and 97.5% quantiles from 1000 draws of the posterior distribution were used to generate 95% uncertainty intervals (UI). Liver cancer mortality was scaled with other causes of death to sum to 100% of the demographic estimates of all-cause mortality. Years of life lost were calculated by multiplying each death by the standard life expectancy. To generate mortality estimates for 4 liver cancer etiologies, proportions of liver cancer due to different causes were identified in a systematic review (eTable 5 in Supplement 1). Cases were attributed to HBV, HCV, alcohol, and other causes, which include remaining etiologies like liver flukes, nonalcoholic steatohepatitis, and aflatoxins. To estimate proportions for all locations, by sex, and over time, models were generated using DisMod-MR 2.1, a Bayesian meta-regression model (eAppendix in Supplement 1). Liver cancer mortality estimates were split into etiologies using the modeled proportions. Liver cancer incidence was estimated by dividing mortality by mortality-to-incidence ratios. Survival was estimated based on a theoretical best and worst liver cancer survival and a scaling factor derived from age-standardized mortality-to-incidence ratios. Prevalence was calculated using incidence and survival estimates and divided into 4 phases reflecting changing disability during: (1) diagnosis and treatment; (2) remission; (3) disseminated; and (4) terminal phase. Prevalence for each phase was multiplied by distinct disability weights to generate years lived with disability (eTable 6 in Supplement 1). The sum of years of life lost and years lived with disability represents DALYs. One DALY can be interpreted as 1 lost year of “healthy life.”To group countries with similar development status, a Sociodemographic Index (SDI) was used, which combines total fertility rate, average educational attainment in the population over age 15, and measures of income per capita (eFigure 3 and eTable 7 in the Supplement 1).To assess the contribution of demographic vs epidemiological changes, we decomposed trends into 3 components—population aging, growth, and change in age-specific rates. Rates are reported as mean per 100 000 person-years with 95% UI in parentheses. Age-standardized rates were computed using the GBD population standard.
Results
Liver Cancer Burden
There were 854 000 incident liver cancer cases and 810 000 deaths globally in 2015, contributing to 20 578 000 DALYs (Table; Supplement 2). Liver cancer was the sixth most common-incident cancer worldwide and the fourth most common cause of cancer death (eFigure 4 in Supplement 1). Eighty-eight percent of incident liver cancer cases and 86% of liver cancer deaths occurred in middle-SDI, high-middle–SDI, and high-SDI countries compared with low-middle–SDI and low-SDI countries. Age-standardized incidence rates (ASIR) were the highest in middle-SDI countries, followed by low-SDI countries (Table).
Table.
Liver Cancer Incident Cases, Age-Standardized Incidence Rate, Deaths, Age-Standardized Mortality Rate, DALYs, and Age-Standardized DALYs, by Sociodemographic Quintile, Sex, and Region, 2015
Abbreviations: ASIR, age-standardized incidence rate; ASMR, age-standardized mortality rate; DALY, disability-adjusted life-year; UI, uncertainty interval.The highest burden of liver cancer incident cases, deaths, and DALYs was observed in East Asia. High-income Asia Pacific had the second most incident cases but only the third highest number of deaths and the fourth highest number of DALYs. Within high-income Asia Pacific, Japan was the driver behind this finding with 75% of incident cases of which 67% were due to HCV. Western Europe ranked third for liver cancer incident cases, fourth for liver cancer deaths, and fifth for total DALYs. Southeast Asia experienced the fourth highest number of incident liver cancer cases but ranked second for liver cancer deaths and DALYs. The highest ASIR in 2015 were in high-income Asia Pacific, followed by East Asia and Western sub-Saharan Africa (Table).
Time Trends Between 1990 and 2015
Between 1990 and 2015, liver cancer incident cases increased by 75% (eFigure 5 in Supplement 1) with changing age structures contributing 47%, population growth contributing 35%, and changing age-specific incidence rates contributing −8% to the overall increase. Because of decreases in age-specific incidence rates for HBV-related liver cancer, and liver cancer due to other causes, incident cases due to HBV would have decreased by 35% and liver cancer due to other causes by 25% between 1990 and 2015, if population size and age structure had remained the same. However, owing to demographic changes of population growth and aging, incident cases increased by 42% and 56%, respectively. For HCV-related and alcohol-related liver cancer incidence, demographic changes, as well as increases in age-specific rates, led to the overall increase of 114% and 109%, respectively (Figure 1; eFigure 5 in Supplement 1).
Figure 1.
Relative Changes in Age-Standardized Liver Cancer Mortality Between 1990 and 2015 for Both Sexes in 195 Countries and Territories
ATG indicates Antigua and Barbuda; BRB, Barbados; COM, Comoros; DMA, Dominica; FJI, Fiji; FSM, Federated States of Micronesia; GRD, Grenada; KIR, Kiribati; LCA, Saint Lucia; MDV, Maldives; MHL, Marshall Islands; MLT, Malta; MUS, Mauritius; TLS, Timor-Leste; TON, Tonga; TTO, Trinidad and Tobago; SGP, Singapore; SLB, Soloman Islands; SYC, Seychelles; VCT, Saint Vincent and the Grenadines; VUT, Vanuatu; and WSM, Samoa (formerly Western Samoa).
Relative Changes in Age-Standardized Liver Cancer Mortality Between 1990 and 2015 for Both Sexes in 195 Countries and Territories
ATG indicates Antigua and Barbuda; BRB, Barbados; COM, Comoros; DMA, Dominica; FJI, Fiji; FSM, Federated States of Micronesia; GRD, Grenada; KIR, Kiribati; LCA, Saint Lucia; MDV, Maldives; MHL, Marshall Islands; MLT, Malta; MUS, Mauritius; TLS, Timor-Leste; TON, Tonga; TTO, Trinidad and Tobago; SGP, Singapore; SLB, Soloman Islands; SYC, Seychelles; VCT, Saint Vincent and the Grenadines; VUT, Vanuatu; and WSM, Samoa (formerly Western Samoa).The pattern of change for ASIR between 1990 and 2015 shows a substantial increase of over 100% in many high-SDI countries like the United States, Canada, Australia, New Zealand, and most European countries, but also in the Philippines, Guatemala, Romania, and the Seychelles. At the same time, some countries with high incidence rates like China and countries in Western and Eastern sub-Saharan Africa have experienced a decrease of over 20% in ASIR (eFigure 5 in Supplement 1). Age-standardized mortality rates (ASMR) between 1990 and 2015 more than doubled in the Philippines, Moldova, and Guatemala. During the same period, ASMR declined substantially in regions with high liver cancer burden such as East Asia and Western sub-Saharan Africa (Figure 2).
Figure 2.
Contribution of Hepatitis B, Hepatitis C, Alcohol, and Other Causes on Absolute Liver Cancer Deaths, Both Sexes, Globally and by Region, 2015
SDI indicates sociodemographic index.
Contribution of Hepatitis B, Hepatitis C, Alcohol, and Other Causes on Absolute Liver Cancer Deaths, Both Sexes, Globally and by Region, 2015
SDI indicates sociodemographic index.
Sex Differences
Only 14% of studies used in our analysis of liver cancer etiologies reported underlying causes by sex. Using this information on sex differences, liver cancer was more common in men, with 591 000 incident cases compared with women with 264 000 cases. Similar patterns were observed for mortality (577 000 in men vs 234 000 in women) and DALYs (15 413 000 in men vs 5 165 000 in women) (Table).At the global level, the male-to-female ratios for ASIR and ASMR rates were 2.5 and 2.8, respectively, while the male-to-female ratio was 3.1 for age-standardized DALY rates (Table). The male-to-female ratio for ASIR was highest in East Asia at 2.9 and lowest in Andean Latin America at 0.9 (eTable 8 in Supplement 1).Marked differences at the global level exist by sex for HBV-related and alcohol-related liver cancer. In 2015, HBV caused 203 000 (95% UI, 171 000-251 000) incident liver cancer cases in men, but only 70 000 (95% UI, 57 000-86 000) cases in women. Alcohol caused 204 000 (95% UI, 177 000-240 000) liver cancer cases in men, but only 45 000 (95% UI, 38 000-54 000) cases among women in 2015 (eTable 1 in Supplement 1).
Liver Cancer Burden by Cause Group
In 2015 at the global level, HBV was the leading cause of incident cases of liver cancer, deaths, and DALYs, followed by alcohol (eTable 9 in Supplement 1).Between 1990 and 2015, cases of liver cancer, deaths, and DALYs increased for all cause groups globally. The highest increase in incident cases was due to HCV, followed by alcohol.Between 1990 and 2015, ASIR for liver cancer due to HBV decreased by 18.9% (not statistically significant). During the same time, liver cancer ASIR due to HCV increased significantly by 15.7%. For liver cancer due to alcohol and other causes, ASIR did not change significantly at the global level (eTable 9 in Supplement 1).The contribution of different etiologies to total liver cancer deaths varies markedly between countries and regions (eTable 10 in Supplement 1). At the global level in 2015, HBV was responsible for 33% of liver cancer mortality; alcohol, 30%; HCV, 21%; and other causes, 16%. Hepatitis B infection was the least common cause of liver cancer deaths in Southern Latin America at 6% and the most common in Western sub-Saharan Africa and Andean Latin America at 45%. Hepatitis C virus infection was the least common cause of liver cancer deaths in East Asia (9%) and the most common cause in the high-income Asia Pacific region (55%). The contribution of alcohol was lowest, at 13%, in North Africa and the Middle East, and highest in Eastern Europe at 53%. The etiological subgroup “other causes” was the least common cause for liver cancer deaths in high-income Asia Pacific at 6% and the most common cause in Oceania at 27%. At the country level in 2015, HBV contributed the largest proportion to liver cancer mortality in Gambia, at 60%, and the smallest in Mexico, at 4%. Hepatitis C virus infection contributed the most to liver cancer mortality in Japan, at 69%, and the least in Senegal, at 7%. Alcohol was the largest contributor to liver cancer mortality in 2015 in Belarus and the smallest contributor in Iran. Liver cancer due to other causes was the largest contributor to overall liver cancer mortality in Indonesia, at 39%, and the smallest contributor in South Korea, at 5% (eTable 10 in Supplement 1).
Discussion
As part of the GBD 2015 study, we estimated the burden of liver cancer due to the main causes at the global, regional, and national levels to inform strategic planning of prevention programs, as well as research and health system resource allocation. Our results are in line with previous studies showing that liver cancer is among the leading causes of cancer deaths worldwide and that the liver cancer etiologies differ substantially between locations. However, whereas prior studies have focused on single aspects of liver cancer epidemiology like incidence trends in selected countries, or cross-sectional analyses of risk factors, the GBD provides a comprehensive analysis of all countries, over time, for the most important etiologies.Analyzing time trends allows for identification of successful strategies as well as concerning patterns. At the global level, our decomposition analysis shows that liver cancer incident cases owing to HBV and other causes would have decreased between 1990 and 2015 if the demographic profile and population size had remained the same. In the same scenario, liver cancer caused by HCV and alcohol would have increased because of a rise in age-specific rates. These findings highlight 2 important issues. First, primary liver cancer prevention through HBV vaccination is starting to show successes; and second, health care systems not only have to invest in prevention but also have to plan for the increasing number of patients with liver cancer that they will face despite prevention programs.Obvious targets for primary prevention include liver cancers due to HBV and HCV. Assuming that present HBV vaccination trends continue, between 2020 and 2050, the number of new HBV infections is estimated to drop by 70%. The reduction of chronic infections would be even larger if HBV birth dose vaccination would increase from the current level of 39% to the 2030 target of 90%. Other recommended approaches include implementation of safe injection and transfusion practices, improved diagnoses of chronic infections, and increased treatment for HBV and HCV. Our findings show that not just population aging and growth but also increasing incidence rates of liver cancer due to HCV are driving the overall rise in HCV-related liver cancer. This stresses the importance of prevention as well as accessibility and affordability of the highly effective HCV antiviral medication.For liver cancer due to alcohol, our analysis showed increasing age-specific incidence rates between 1990 and 2015, highlighting the need for strategies to decrease the harmful use of alcohol.Liver cancer due to other causes showed the smallest increase in incident cases among the 4 etiologies and decreasing age-specific rates in our decomposition analysis. This finding, however, masks etiologies that are currently included in the “other” group and that can be leading causes in certain locations, like liver flukes in Asia and Eastern Europe; aflatoxin in Asia, parts of Africa, and Latin America; and nonalcoholic steatohepatitis in South America and the Middle East.At the national level, some countries have made progress in reducing liver cancer burden over the past decades, as previously documented. China, for example, experienced a significant decrease in the ASMR of 33% (95% UI, −40.2% to −17.6%) between 1990 and 2015, possibly owing to reduced aflatoxins exposure and to some extent due to national HBV vaccination programs. Despite this decrease in ASMR, the number of deaths due to liver cancer in China increased by 33.8% between 1990 and 2015. In neighboring Mongolia no apparent progress has been made during this time frame and liver cancer remains the leading cause of cancer deaths with an increase of 171% between 1990 and 2015.Among high-SDI countries, the United States, Canada, and Australia stand out with a greater than 20% increase in liver cancer ASMR between 1990 and 2015. In the United States this is partially due to the cohort effect of high HCV prevalence among adults born between 1945 and 1965 associated with injection drug use and transfusion of unsafe blood products. Liver cancer ASMR due to alcohol, other causes, and HBV also increased in the United States between 2005 and 2015. Increasing liver cancer due to HBV in the United States and other high net-migration countries can in part be attributed to the burden of undiagnosed and untreated HBV infection in migrants from high-prevalence settings infected since early childhood. Hepatitis B testing and treatment in these populations, despite being cost-effective, has yet to be widely adopted.Even with successful primary prevention strategies, cases of liver cancer are likely to increase over the next decades owing to population aging and growth. Secondary prevention is therefore equally as important. The resource-stratified guidelines for hepatocellular carcinoma management by the National Comprehensive Cancer Network recommend screening high-risk groups with liver ultrasonography and α-fetoprotein blood tests at all levels of resources. Secondary prevention is only indicated and ethically appropriate if treatment is available. Health system planning therefore needs to focus on ensuring availability of imaging including interventional radiology, pathology, surgical and palliative care specialties. Given the disappointing results of systemic hepatocellular carcinoma treatments, research on new approaches is urgently needed. Treatment for advanced disease has been especially unsatisfactory with sorafenib being the only approved drug but leading to only modest survival benefits. Developments in immunotherapy are promising and might be feasible to use even in the setting of limited health care resources if treatment is affordable.
Limitations
The GBD estimates, as well as estimates from other groups like Globocan, depend on the quality and quantity of data used in the modeling. The wide geographic variation in the availability of high-quality cause of death and cancer registry data are reflected in the uncertainty associated with the GBD estimates. It is encouraging that despite data scarcity and different estimation methods, most Globocan estimates fall within the 95% UIs of the GBD estimates (eTable 11 in Supplement 1).The main data quality issues for the liver cancer burden estimation are miscoding of liver metastases as primary liver cancers, underreporting of liver cancer on death certificates, and underestimation of liver cancer due to lack of diagnostic capacity. The methodological framework of the GBD tries to account for these difficulties. Redistribution of undefined causes of death or cancer to the most likely underlying cause accounts for underdiagnosis.For the etiological attribution of the liver cancer burden, HBV and HCV related cases are less prone to misclassification based on the use of objective laboratory assessments, in contrast to self-reported data for alcohol use. A caveat when comparing studies that exclusively examined viral risk factors to our study is that if more than 1 cause was reported, we apportioned coexposures to multiple causes proportionally between the causes. When information was only available for viral risk factors, the proportions of liver cancer owing to alcohol and other causes in these locations are based on covariates used in the proportion models. This can lead to underestimation of viral etiologies, as is the case for liver cancer due to HBV in Taiwan, for example, where the proportion of 27% is lower than published studies.Sex differences in the liver cancer etiologies was only available for a limited number of studies. The validity of applying these patterns to all studies is therefore unclear.For GBD 2015 we assessed only the major liver cancer etiologies. For future iterations of the GBD, inclusion of additional etiologies as well as estimating the burden of cholangiocarcinoma and hepatocellular carcinoma separately should be considered.
Conclusions
Liver cancer remains a major public health burden globally. The major causes for liver cancer are highly preventable or treatable. In line with the Sustainable Development Goals, the Global Health Sector Strategy on Viral Hepatitis 2016 to 2021, and the World Health Organization Global Strategy to Reduce Harmful Use of Alcohol, concerted prevention efforts will be required to achieve a sustained reduction in liver cancer. The GBD study provides the most current overview of the burden and etiology of liver cancer and can guide investments in targeted liver cancer prevention efforts.
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