Literature DB >> 32803012

International epidemiology of liver cancer: geographical distribution, secular trends and predicting the future.

M Mohammadian1, K Allah Bakeshei2, A Mohammadian-Hafshejani3,4.   

Abstract

BACKGROUND: Liver cancer (LC) is ranked seventh common cancer in terms of the incidence; and the fourth in terms of the mortality of cancer in the world. The aim of this study was to investigate the international distribution of the incidence and mortality of LC in 2018 based on various socio-economic and political divisions in the world.
MATERIAL AND METHODS: This study was conducted through the use of the incidence and mortality cancer data from GLOBOCAN Project in 2018. The Age-Standardized Incidence Rate (ASIR) and Age Standardized Mortality Rate (ASMR) of LC were expressed per 100,000 people. In the current report, we used Pearson correlation method to assess the correlation between ASIR and ASMR. Statistical significance was considered to be P < 0.05.
RESULTS: The highest ASIR and ASMR of LC occurred in Asia (ASIR = 11.4 and ASMR = 10.5), and Western Pacific Region of the World Health Organization (ASIR = 17.4 and ASMR = 15.8), and those regions with income level equal to upper middle income (ASIR = 13.4 and ASMR = 6.6). Furthermore, the lowest ASIR and ASMR of LC occurred in in Latin America and Caribbean (ASIR = 5) and Europe (ASMR = 4.4), the South-East Asia region (ASIR = 4.5 and ASMR = 4.3), and regions with Low middle income (ASIR = 5.7) and regions with high income (ASMR = 2.7).
CONCLUSIONS: LC is one of the most important cancer forms in the world in terms of incidence and mortality. It is important to prevent exposure to known risk factors for LC by increasing the level of knowledge and attitudes of the community and prevent of morbidity and mortality of the population with early diagnosis and treatment of patients. ©2020 Pacini Editore srl, Pisa, Italy.

Entities:  

Keywords:  Incidence; Liver Cancer; Mortality; The world; Trend

Mesh:

Year:  2020        PMID: 32803012      PMCID: PMC7419131          DOI: 10.15167/2421-4248/jpmh2020.61.2.1244

Source DB:  PubMed          Journal:  J Prev Med Hyg        ISSN: 1121-2233


Introduction

Despite the advances in preventing and controlling non-infectious diseases in recent decades, the incidence and prevalence of these diseases have increased dramatically [1]. Cancer is the second cause of death in most countries after cardiovascular diseases [2-6]. There were 24.5 million new cancer cases and 9.6 million cancer deaths worldwide in 2017, and led to 233.5 million Disability-Adjusted Life Year (DALYs), of which 3% came from Years lived with disability (YLDs) and 97% came from Years of Life Lost (YLLs). Globally, the odds of developing cancer in lifetime were 33% for men and 25% for women. Between 2007 and 2017, the Age-Standardized Incidence Rate (ASIR) for all cancers has increasing trend, but Age-Standardized Mortality Rate(ASMR) has decreasing trend [7]. Liver is an important body organ that plays an key role in the detoxification, excretion of waste, and the metabolism of glucose and fats [8]. Liver cancer (LC) is ranked seventh among cancers in terms of the incidence; and since most cases of LC are diagnosed at advanced stages of disease, its fatality is high, so that this cancer is ranked fourth among other types of cancers in terms of the mortality [9]. Globally, there were 953000 new cases and 819 000 deaths of LC in 2017. LC led to 20,800,000 DALYs in 2017, which 1% coming from YLDs and 99% coming from YLLs. Generally, LC was more common in men, so lifetime odds of developing LC for men were 1 in 42 and for women 1 in 118. Population growth and population aging were the main causes of the increase of LC from 705000 cases in 2007 to 953000 cases in 2017 [7]. The most important risk factors associated with the incidence of LC are diagnosed, and most of them can be prevented and altered at the individual and social levels. Therefore, the incidence of LC and ultimately the rate of its mortality can be reduced in societies by taking appropriate measures [10]. LC can be categorized into three main forms with different risk factors associated with each of them. Hepatocellular carcinoma (HCC) is the most important LC form which is caused by the following cases: chronic infection with hepatitis B and C viruses; food contamination with aflatoxins; alcoholic cirrhosis; smoking, diabetes, overweight and obesity. Cholangiocarcinoma is the second most important LC form which is mainly caused by the following factors: infestation with liver flukes, Opistorchis viverrini and Clonorchis sinensis. Angiosarcoma is a very rare type of LC occurring in exposure to Vinyl chloride [11]. In the world, the ASIR of LC is 16 per 100,000 men and 6 per 100,000 women. The ASIR of LC in less developed countries is higher than developed countries (12 versus 5.4 per 100,000) [12]. Since the LC is a very high prevalent cancer and has high mortality due to the late diagnosis, it is considered to be a major health problem which imposes a large burden in term DALYs (YLL and YLD) on countries. Due to the high importance of this cancer, various studies have been conducted on estimating its burden on developed countries [11, 13]. Nevertheless, there are a few studies on distribution of LC at the international level [14]. Since obtaining the appropriate information to properly understand distribution of any disease in terms of person, place, and time is the first and most important necessity for appropriate measures and interventions to reduce the incidence and mortality of any disease, the present study was conducted with the aim to investigate the international distribution of the incidence and mortality of LC in 2018 based on various socio-economic and political divisions in the world. In addition, present study predicts the trends of incidence and mortality of LC during 2018 to 2040 in worldwide.

Materials and methods

In the present study, we extracted data on the incidence and mortality rate of LC in 184 countries from the International Agency for Research on Cancer (IARC) (Project GLOBOCAN, 2018). GLOBOCAN is a database of various types of cancers created by World Health Organization (WHO) [15, 16]. It covers information on the number, raw rates, and age standardization of cancer incidence, and mortality for different regions and countries. Currently, the available data in GLOBOCAN is known as one of the newest international databases on the cancer. Based on the data of GLOBOCAN project, it is possible to investigate and compare the incidence and mortality of cancer based on the type of cancer, age and gender groups for different regions of the world. The present study categorized and presented the information on the Age-Standardized Incidence Rate (ASIR) and Age Standardized Mortality Rate (ASMR) of LC based on the continents (Africa, Latin America and Caribbean, Northern America, Europe, Oceania, Asia), income levels(high income, upper middle income, low middle income, and low income),human development index(HDI) (very high, high, medium, low, China and India),WHO regions (Africa region (AFRO), Americas region (PAHO), East Mediterranean region (EMRO), Europe region (EURO), South-East Asia region (SEARO) and Western Pacific region (WPRO)), and World regions(Australia and New Zealand, Caribbean, central America, central and eastern Europe, eastern Africa, eastern Asia, Melanesia, Micronesia, middle Africa, north America, northern Africa, northern Europe, Polynesia, south America, south-central Asia, south-eastern Asia, southern Africa, southern Europe, western Africa, western Asia, and western Europe).

HUMAN DEVELOPMENT INDEX (HDI)

Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: life expectancy, education, and per capita income. The HDI is the geometric mean of normalized indices for each of the three dimensions with rang from 0 to 1 [17].

STATISTICAL ANALYSIS

We provided the information about the incidence and mortality of LC based on the number, raw rates and the Age-Standardized rates in 2018. We also expressed raw and standardized rates of incidence and mortality per 100,000 people. Geographical distribution map was prepared for the incidence and mortality of this disease based on the Age-Standardized rates. In GLOBOCAN project, predicting the number of incidence and mortality of LC in 2020, 2025, 2030, 2035 and 2040 is calculated by multiplying the age-specific incidence rates estimated for 2018, by the corresponding anticipated population for 2020, 2025, 2030, 2035 and 2040 [9]. Detailed descriptions of applied methods are presented in previous reports [11-14]. In the current report; we used Pearson correlation method in order to assess the correlation between ASIR and ASMR of LC. Statistical significance was considered as P < 0.05. All P-values reported in this study are two-sided. Also, statistical analyses were performed using SPSS (Version 16.0, SPSS Inc.).

Results

THE ASIR AND ASMR OF LC IN THE WORLD

In 2018, 841,080 new cases of LC were diagnosed worldwide. Of them 596,574 (70.92%) cases occurred in men and 244506 (29.08%) in women. In general, the ASIR of LC was equal to 9.3 (13.9 in men and 4.9 in women). The sex ratio (men to women ratio) of the newly diagnosed LC was equal to 2.43 (Fig. 1).
Fig. 1.

Distribution of new LC cases worldwide in 2018.

There were also 781,631 deaths from LC during this year. Of them, 548,375 (70.15%) cases occurred in men and 233,256 (29.85%) in women. In general, the ASMR of LC was equal to 8.5 (12.7 in men and 4.6 in women). The sex ratio of the mortality of LC was equal to 2.35 (Fig. 2).
Fig. 2.

Distribution of LC mortality worldwide in 2018.

THE ASIR AND ASMR OF LC BASED ON THE CONTINENTS

The ASIR of LC was equal to 6.6 (10.1 in men, and 3.4 in women) in North America, 5.1 (8 in men, and 2.7 in women) in Europe, 6.9 (10.1 in men and 3.7 in women) in Oceania, 11.4 (17.1 in men and 5.9 in women) in Asia, 5 (6.1 in men and 4.1 in women) in Latin America and Caribbean, and 8.4 (12 in men and 5.3 in women) in Africa. Of the total number of this disease in the world, the highest proportion occurred in Asia and the lowest proportion in Oceania, so that 72.47% of cases occurred in Asia, 9.8% in Europe, 4.97% in North America, 4.56% in Latin America and Caribbean, 7.73% in Africa and 0.47% in Oceania (Tab. I, Figs. 1-4). In addition, numbers, crude rate and ASIR of LC in worldwide countries are visible in the Supplementary data (Tab. SI).
Tab. I.

The age-standardized incidence rate of liver cancer in different regions of the world in 2018.

PopulationAllMenWomen
NumbersCruderateASR(W)NumbersCruderateASR(W)NumbersCruderateASR(W)
World841,080119.3596,57415.513.9244,5066.54.9
WHO regionsWHO Africa region (AFRO)37,0363.4623,7194.48.113,3172.54.1
WHO Americas region (PAHO)80,2517.95.650,68410.17.829,5675.83.7
WHO East Mediterranean region (EMRO)39,4155.77.926,9367.510.712,4793.75
WHO Europe region (EURO)91,988105.161,54613.77.930,4426.42.8
WHO South-East Asia region (SEARO)84,7334.34.559,7835.96.524,9502.62.6
WHO Western Pacific region (WPRO)507,50126.217.4373,79437.926.4133,70714.18.5
ContinentsAfrica64,77958.443,5306.81221,2493.35.3
Asia609,59613.411.4443,74419.117.1165,8527.55.9
Europe82,46611.15.155,82515.5826,6416.92.7
Latin America and the Caribbean38,4005.9520,7846.56.117,6165.34.1
North America41,85111.56.629,90016.610.111,9516.53.4
Oceania3,9889.76.92,79113.510.11 1975.83.7
Human Development Index (HDI)China392,86827.618.3292,8984027.699,97014.59
High HDI76,10919.113.846,30127.220.829,80810.77.2
India27,67022.218,8072.73.18,8631.41.4
Low HDI33,4473.3621,1384.17.912,3092.44.3
Medium HDI115,6045.25.982,7967.28.632,8083.13.3
Very high HDI195,09214.16.9134,42619.610.660,6668.63.5
Income levelsHigh income167,60613.86.6116,87619.310.250,7308.33.3
Low income29,77446.919,0805.19.410,6942.84.6
Low middle income148,4204.95.7104,4936.88.243,92733.2
Upper middle income480,35618.313.4345,92726.120.2134,42910.37
World regionsAustralia and New Zealand2,9219.95.72,11514.48.88065.42.7
Caribbean2,9236.651,7067.86.31,2175.53.8
Central America11,2296.36.35,5136.26.75,7166.36
Central and Eastern Europe22,7847.8413,737106.29,0475.92.5
Eastern Africa11,5502.74.87,0113.36.24,5392.13.6
Eastern Asia467,32728.317.7343,52340.626.8123,80415.38.7
Melanesia9158.711.455710.414.23586.98.9
Micronesia851615.26925.725.6166.15.4
Middle Africa6,0103.66.54,1374.99.41,8732.23.9
North America41,85111.56.629,90016.610.111,9516.53.4
Northern Africa27,93511.714.119,91216.720.88,0236.87.8
Northern Europe10,99710.54.77,08613.76.63,9117.42.9
Polynesia679.79.25014.214.41754.1
South America24,2485.74.613,5656.45.810,6834.93.5
South-Central Asia44,0102.22.529,0272.93.414,9831.61.7
South-Eastern Asia89,01013.613.365,407202123,6037.26.6
Southern Africa2,7104.14.91,6925.27.41,01833.2
Southern Europe25,02616.46.817,70223.710.97,3249.43.1
Western Africa16,5744.38.310,7785.611.15,7963.15.7
Western Asia9,2493.445,7874.15.43,4622.72.8
Western Europe23,65912.25.317,30018.18.46,3596.52.5
Tab. S1.

The age-standardized incidence rate of LC in 185 countries of the world in 2018.

CountriesAllMaleFemale
NumbersUncertainty intervalCrude RateASR (W)NumbersUncertainty intervalCrude RateASR (W)NumbersUncertainty intervalCrude RateASR (W)
Afghanistan642[491.6-838.4]1.83.9391[280.8-544.4]2.14.9251[159.9-394.1]1.43
Albania435[374.3-505.5]14.87.8265[218.1-322.0]17.910170[134.3-215.2]11.75.7
Algeria563[455.6-695.7]1.31.4311[231.8-417.3]1.51.6252[185.8-341.8]1.21.3
Angola581[368.5-915.9]1.93.6382[225.1-648.2]2.55.2199[81.3-486.8]1.32.3
Argentina2 343[2028.2-2706.6]5.23.61 364[1134.2-1640.3]6.25979[776.7-1234.0]4.32.5
Armenia474[370.1-607.1]16.29.7263[206.2-335.5]19.113.5211[57.5-775.0]13.66.9
Australia2 438[2235.6-2658.7]9.85.71 729[1572.3-1901.4]148.6709[574.1-875.6]5.72.9
Austria1 121[970.7-1294.6]12.85.4750[629.9-893.0]17.58.2371[287.6-478.7]8.33
Azerbaijan384[338.4-435.7]3.93.6192[161.9-227.8]3.94.1192[159.1-231.7]3.93.2
Bahamas14[7.2-27.2]3.52.310[4.1-24.4]5.13.94[1.5-10.8]21.1
Bahrain30[19.1-47.2]1.93.420[11.1-36.0]23.910[4.9-20.4]1.72.7
Bangladesh3 128[2395.3-4084.9]1.92.22 352[1689.1-3275.0]2.83.3776[494.2-1218.5]0.941.1
Barbados14[7.2-27.1]4.92.47[2.7-18.1]5.137[2.8-17.6]4.71.9
Belarus555[471.5-653.3]5.93.3318[262.1-385.8]7.24.9237[174.9-321.2]4.72.1
Belgium1 006[929.9-1088.3]8.74.3638[585.3-695.4]11.25.9368[292.9-462.3]6.32.9
Belize19[11.0-32.7]58.414[6.8-28.7]7.412.25[2.2-11.5]2.64.4
Benin298[196.8-451.3]2.65.1233[129.9-417.8]4.19.865[36.0-117.3]1.12.1
Bhutan35[30.8-39.7]4.35.328[23.9-32.8]6.57.87[5.7-8.6]1.82.3
Bolivia, Plurinational State of678[585.7-7848]66.1303[243.2-377.5]5.45.6375[308.3-456.2]6.76.7
Bosnia and Herzegovina552[454.5-670.4]15.87.4295[228.3-381.2]17.19.1257[190.8-346.2]14.45.9
Botswana62[44.4-86.6]2.73.940[26.3-60.9]3.56.422[12.7-38.1]1.92.3
Brazil12 463[11341.2-13695.8]5.94.77317[6491.1-8248.0]7.16.35 146[4415.6-5997.2]4.83.4
Brunei38[23.0-62.8]8.89.932[17.7-57.9]14.3176[2.4-15.3]2.83.1
Bulgaria559[491.7-635.6]7.93.6377[298.3-476.4]115.7182[155.7-212.7]51.8
Burkina Faso1 296[553.2-3036.0]6.613.8789[319.9-1946.2]819.2507[39.4-6517.7]5.19.7
Burundi400[211.8-755.3]3.66.3270[118.6-614.4]4.99130[47.7-354.1]2.33.9
Cabo Verde44[29.2-66.4]810.724[13.6-42.3]8.711.320[11.0-36.3]7.29.3
Cambodia2 546[1376.1-4710.4]15.721.81 691[810.9-3526.2]21.334.6855[275.1-2656.9]10.312.7
Cameroon955[617.8-1476.4]3.96.1724[436.5-1200.9]5.99.3231[98.1-543.8]1.93.1
Canada3 889[3592.5-4210.0]10.55.32 608[2364.3-2876.9]14.27.61 281[1119.5-1465.8]6.93.2
Central African Republic149[94.5-234.9]3.15.1104[61.3-176.5]4.57.545[18.4-110.1]1.93.1
Chad405[256.9-638.5]2.65.5280[165.0-475.1]3.67.8125[51.1-305.8]1.63.4
Chile1 582[1230.7-2033.6]8.75.4871[618.9-1225.8]9.76.9711[491.0-1029.7]7.74.2
China392 868[386346.0-399500.0]27.618.3292 898[287242.0-298665.0]4027.699 970[96758.9-103288.0]14.59
Colombia2 279[1874.9-2770.3]4.63.91 195[915.2-1560.3]4.94.61 084[814.0-1443.5]4.33.3
Comoros29[15.4-54.8]3.55.718[7.9-41.0]4.37.611[4.0-30.0]2.74.1
Congo, Democratic Republic of3 613[2291.8-5695.9]4.382 431[1432.6-4125.1]5.811.51 182[483.2-2891.5]2.85
Congo, Republic of207[157.7-271.7]3.85.9146[105.1-202.7]5.48.661[37.6-99.1]2.33.4
Costa Rica427[297.4-613.1]8.66.3248[142.8-430.6]107.9179[110.9-289.0]7.24.8
Croatia639[549.6-742.9]15.36.3410[343.8-488.9]20.49.9229[171.2-306.3]10.63.4
Cuba837[730.9-958.4]7.33.8498[419.4-591.3]8.74.7339[271.9-422.6]5.92.9
Cyprus75[55.3-101.8]6.33.451[35.1-74.1]8.6524[14.1-40.9]42
Czechia1 063[946.6-1193.7]104.2679[592.7-777.8]136.1384[307.4-479.7]7.12.6
Côte d'lvoire1 121[932.5-1347.6]4.58.4703[562.0-879.4]5.69.7418[302.5-577.6]3.46.9
Denmark611[537.3-694.8]10.64.9426[364.9-497.4]14.97.3185[146.9-233.0]6.42.6
Djibouti19[10.1-35.9]22.611[4.8-25.0]2.33.18[2.9-21.8]1.72.2
Dominican Republic718[587.6-877.3]6.66.5400[304.1-526.2]7.47.6318[237.0-426.6]5.85.5
Ecuador979[846.0-1132.9]5.85.3483[389.7-598.6]5.75.7496[406.4-605.3]5.94.9
Egypt25 399[23831.9-27069.1]25.632.218 471[17185.0-19853.3]36.8496 928[6050.8-7932.4]14.116.7
El Salvador514[417.9-632.1]86.7208[156.0-277.3]6.96.4306[227.1-412.3]96.9
Equatorial Guinea44[27.9-69.4]3.34.734[20.0-57.7]4.7610[4.1-24.5]1.73
Eritrea92[48.7-173.7]1.83.350[22.0-113.8]1.93.742[15.4-114.4]1.62.9
Estonia103[82.3-128.9]7.93.261[45.4-82.0]105.142[29.8-59.2]6.12
Eswatini37[25.3-54.0]2.73.920[12.0-33.4]3517[9.7-29.8]2.43.2
Ethiopia1 608[1052.3-2457.1]1.52.7749[409.9-1368.7]1.42.6859[473.1-1559.6]1.62.7
Fiji76[65.3-88.4]8.38.353[44.2-63.5]11.512.323[17.4-30.4]5.14.9
Finland550[475.8-635.7]9.93.6347[283.3-425.0]12.75.2203[165.1-249.7]7.22.3
France10 624[10156.6-11112.9]16.37.88 382[7967.5-8818.1]26.113.32 242[2033.8-2471.5]6.82.7
France, Guadeloupe34[21.8-53.1]7.63.722[12.7-38.1]10.66.212[5.6-25.7]51.7
France, La Réunion85[65.0-111.2]9.6658[41.8-80.4]13.69.127[16.8-43.3]5.93.3
France, Martinique39[26.8-56.8]10.14.125[15.6-40.0]14.35.914[7.5-26.3]6.72.7
France, New Caledonia38[24.5-58.9]13.610.425[14.8-42.3]17.714.313[5.9-28.5]9.46.9
French Guiana21[11.0-40.1]7.28.518[8.0-40.6]12.415.53[1.0-8.7]2.12.3
French Polynesia34[22.3-51.9]11.99.523[11.7-45.3]15.813.411[6.4-19.0]7.85.6
Gabon55[36.9-81.9]2.73.335[21.5-56.9]3.33.920[10.0-40.1]22.6
Gaza Strip and West Bank47[24.1-91.8]0.931.831[14.5-66.4]1.22.416[3.9-65.3]0.641.3
Georgia380[322.7-447.5]9.75.4235[198.7-278.0]12.68.3145[81.0-259.4]7.13.1
Germany8 883[8277.0-9533.3]10.84.26 191[5716.5-6704.9]15.36.42 692[2311.4-3135.2]6.42.3
Ghana2 753[2402.2-3155.0]9.315.42016[1717.8-2365.9]13.724.4737[568.3-955.7]57.6
Greece1 642[1486.9-1813.2]14.75.71 121[986.4-1274.0]20.48.6521[445.3-609.6]9.23.3
Guam31[25.3-37.9]18.714.825[20.0-31.2]29.824.56[3.7-9.8]7.35.3
Guatemala1 787[1592.4-2005.4]10.414.9854[723.0-1008.8]10.115.8933[795.3-1094.6]10.714.1
Guinea1 582[1242.4-2014.4]12.121.8969[717.7-1308.3]14.827.9613[408.0-921.0]9.416.3
Guinea-Bissau126[53.8-295.2]6.611.984[34.1-207.2]8.917.342[3.3-539.9]4.37.3
Guyana20[11.9-33.7]2.62.710[4.9-20.5]2.52.710[4.7-21.5]2.62.7
Haiti664[543.7-810.9]68.1354[288.2-434.8]6.49.5310[132.7-724.1]5.56.8
Honduras403[300.0-541.4]4.35.7302[206.1-442.5]6.49.2101[63.4-160.8]2.12.7
Hungary1 087[959.0-1232.1]11.25.4770[665.5-890.9]16.79.2317[248.3-404.8]6.22.4
Iceland15[9.0-25.0]4.42.512[6.2-23.4]7.14.13[1.4-6.6]1.80.95
India27 670[26091.1-29344.5]22.218 807[17531.4-20175.5]2.73.18 863[7961.8-9866.2]1.41.4
Indonesia18 468[16124.1-21152.6]6.97.614 238[12130.6-16711.6]10.612.44 230[3276.2-5461.5]3.23.4
Iran, Islamic Republic of3 492[3303.2-3691.6]4.34.71 999[1860.1-2148.3]4.85.31 493[1368.0-1629.4]3.74.1
Iraq539[478.6-607.0]1.42.7278[236.4-326.9]1.43.1261[219.2-310.8]1.32.4
Ireland363[301.4-437.2]7.64.3275[207.5-364.5]11.56.888[68.6-112.8]3.62
Israel336[281.8-400.6]42.6200[159.9-250.2]4.83.5136[102.4-180.6]3.21.7
Italy12 325[11947.7-12714.2]20.87.98 742[8418.2-9078.3]30.212.83 583[3391.8-3784.9]11.83.5
Jamaica106[80.2-140.1]3.72.955[37.8-80.1]3.8351[33.6-77.3]3.52.8
Japan35 535[34730.5-36358.1]27.97.623 448[22796.6-24118.0]37.812.312 087[11621.1-12571.5]18.63.5
Jordan188[148.6-237.8]1.93.1101[74.4-137.2]23.487[60.3-125.6]1.82.7
Kazakhstan1 122[1045.7-1203.9]6.15.6655[597.0-718.6]7.38.2467[419.0-520.5]4.93.9
Kenya1 346[1050.6-1724.5]2.65.3761[556.8-1040.0]36.2585[389.4-878.9]2.34.5
Korea, Democratic Republic of5 718[53545-6106.2]22.316.53 831[3524.8-4163.8]30.625.41 887[1695.9-2099.6]14.49
Korea, Republic of16510[15880.0-17165.0]32.317.312 180[11648.7-12735.6]47.627.74 330[3998.8-4688.6]16.98.2
Kuwait121[94.5-155.0]2.95.288[65.4-118.3]3.76.233[21.0-51.8]1.83.7
Kyrgyzstan456[371.5-559.7]7.49.5267[200.2-356.1]8.813189[141.2-252.9]6.16.9
Lao People's Democratic Republic1 035[559.4-1914.9]14.922.4712[341.4-1484.7]20.533.4323[103.9-1003.7]9.313.1
Latvia152[112.4-205.5]7.93.163[43.0-92.3]7.13.889[54.4-145.7]8.52.6
Lebanon227[185.8-277.3]3.73.2133[102.4-172.8]4.43.694[68.9-128.2]3.12.6
Lesotho68[39.0-118.4]34.441[20.3-82.7]3.76.627[10.9-66.8]2.33
Liberia412[175.9-965.1]8.515.2247[100.1-609.3]10.118.9165[12.8-2121.1]6.911.7
Libya191[125.0-291.8]34.198[55.9-171.9]34.493[48.8-177.3]2.93.8
Lithuania246[206.6-292.9]8.63.8160[121.7-210.3]12.16.586[68.4-108.1]5.51.9
Luxembourg70[48.8-100.5]11.96.548[30.8-74.8]16.29.122[11.8-41.0]7.54.2
Madagascar898[475.6-1695.7]3.45.8584[256.6-1329.0]4.58.3314[115.3-855.3]2.43.6
Malawi291[162.5-521.2]1.52.1167[78.6-354.9]1.82.4124[49.5-310.7]1.31.8
Malaysia1 944[1785.5-2116.6]6.16.31 460[1322.7-1611.5]8.89.5484[409.4-572.1]3.13.1
Maldives27[20.7-35.3]6.18.322[15.8-30.6]8.712.35[3.2-7.9]2.63.7
Mali598[473.6-755.0]3.16.3438[335.3-572.2]4.610.2160[99.3-257.8]1.72.9
Malta22[13.9-34.8]5.12.215[8.4-26.9]6.93.57[3.3-14.6]3.30.94
Mauritania320[136.6-749.6]711.3221[89.6-545.1]9.716.899[7.7-1272.7]4.46.6
Mauritius63[46.6-85.1]53.236[24.3-53.3]5.7427[16.9-43.2]4.22.6
Mexico7 265[6896.2-7653.6]5.65.43 450[3220.8-3695.5]5.35.53 815[3522.2-4132.1]5.85.4
Mongolia2 241[2129.2-2358.6]71.893.71 299[1214.3-1389.6]84.2117942[870.8-1019.0]59.774.1
Montenegro52[34.8-77.6]8.33.933[19.8-55.0]10.65.719[10.0-36.2]62.5
Morocco428[294.4-622.3]1.21.1243[147.9-399.3]1.41.4185[104.7-326.9]10.95
Mozambique1 200[953.3-1510.5]3.96.6675[499.9-911.4]4.58.8525[366.9-751.1]3.45
Myanmar5 304[2866.9-9812.9]9.810.13 532[1693.8-7365.1]13.414.61 772[570.2-5506.5]6.46.2
Namibia48[30.2-76.2]1.92.831[17.3-55.7]2.54.217[8.0-36.2]1.31.8
Nepal282[195.5-406.8]0.951.1175[110.2-277.8]1.21.5107[58.7-195.1]0.70.82
New Zealand483[398.0-586.2]10.25.8386[267.1-557.8]16.51097[76.9-122.4]42
Nicaragua565[470.3-678.7]910.5322[256.8-403.7]10.413.6243[177.6-332.4]7.68
Niger775[505.4-1188.4]3.57.3587[355.8-968.3]5.211.5188[82.7-427.6]1.73.3
Nigeria5 129[3969.6-6626.9]2.65.13 087[2271.3-4195.7]3.15.92 042[1281.7-3253.2]2.14.3
Norway334[280.6-397.5]6.23.4248[191.3-321.4]9.25.386[68.0-108.7]3.21.5
Oman117[80.4-170.3]2.44.490[56.8-142.7]2.85.827[14.1-51.6]1.72.7
Pakistan4381[3740.5-5131.2]2.23.12 729[2244.4-3318.3]2.63.81 652[1262.9-2160.9]1.72.3
Panama249[195.8-316.7]64.8115[82.3-160.7]5.54.9134[94.8-189.4]6.54.7
Papua New Guinea732[634.1-845.0]8.711.9425[360.6-500.9]9.914307[228.7-412.1]7.410
Paraguay181[129.6-252.8]2.62.8115[73.9-179.0]3.33.766[39.6-109.9]1.92
Peru2317[2021.7-2655.4]7.16.61 104[914.3-1333.1]6.86.81 213[995.8-1477.6]7.46.4
Philippines9 628[9132.7-10150.2]911.56 848[6430.4-7292.7]12.817.82 780[2522.5-3063.7]5.36.2
Poland2 569[2346.3-2812.9]6.73.21 541[1364.3-1740.6]8.44.71 028[897.4-1177.6]5.22.1
Portugal1 386[1234.7-1555.8]13.55.4983[859.6-1124.1]20.29.2403[321.0-506.0]7.42.2
Puerto Rico351[310.6-396.7]9.65.2251[219.6-286.9]14.38.9100[68.7-145.5]5.32.3
Qatar42[31.5-56.1]1.64.137[26.5-51.7]1.85.75[2.8-8.9]0.741.8
Republic of Moldova852[708.4-1024.7]21.113.8539[430.5-674.8]27.820.9313[226.4-432.7]14.98.4
Romania3 451[3253.3-3660.7]17.68.42 229[2065.1-2405.9]23.512.71 222[1113.6-1340.9]12.14.9
Russian Federation10 349[10051.8-10655.0]7.23.95 946[5700.9-6201.6]8.964 403[4228.8-4584.4]5.72.5
Rwanda737[498.4-1089.8]5.910.1483[296.1-788.0]7.914.7254[132.5-486.9]46.6
Saint Lucia4[2.4-6.6]2.21.53[1.7-5.4]3.42.21[0.40-2.7]1.10.83
Samoa16[10.0-25.7]8.19.814[6.6-29.9]13.717.32[1.1-3.7]2.12.5
Sao Tome and Principe8[3.4-18.7]3.88.37[2.8-17.3]6.714.81[0.10-12.9]0.952.6
Saudi Arabia905[764.2-1071.7]2.74.5676[554.5-824.2]3.56.2229[165.6-316.6]1.62.5
Senegal1 075[458.9-2518.3]6.612.6673[272.8-1660.1]8.418402[31.3-5167.9]4.98.4
Serbia772[671.3-887.8]8.84.4460[383.8-551.3]10.75.9312[250.4-388.8]73.2
Sierra Leone406[370.8-4446]5.310248[222.7-276.2]6.512.6158[133.5-187.0]4.17.5
Singapore1 378[1234.4-1538.3]23.812.31 000[882.0-1133.7]34.919.5378[277.0-515.8]12.95.9
Slovakia512[461.2-568.4]9.45335[294.2-381.5]12.67.7177[148.5-210.9]6.32.9
Slovenia292[243.0-350.8]145.8216[166.6-280.1]20.99.776[58.7-98.4]7.32.3
Solomon Islands41[34.5-48.7]6.610.332[26.1-39.3]10.115.59[6.6-12.4]2.95.1
Somalia253[134.0-477.7]1.73.4132[58.0-300.4]1.73.6121[44.4-329.6]1.63.2
South Africa2 495[2258.3-2756.5]4.351 560[1372.5-1773.2]5.57.6935[797.8-1095.8]3.23.3
South Sudan397[210.2-749.6]3.15.1249[109.4-566.7]3.86.5148[54.3-403.1]2.33.8
Spain6 630[6218.4-7068.8]14.36.54 976[4616.0-5364.1]21.910.91 654[1462.6-1870.4]72.4
Sri Lanka767[644.7-912.5]3.72.7472[387.5-574.9]4.73.6295[204.3-426.0]2.71.9
Sudan942[640.2-1386.1]2.33.8581[360.6-936.1]2.84.8361[186.9-697.3]1.72.8
Suriname34[22.7-51.0]65.625[14.9-42.0]8.899[4.7-17.2]3.22.6
Sweden974[880.1-1077.9]9.84.5641[567.0-724.7]12.86.5333[278.2-398.6]6.72.6
Switzerland946[875.7-1021.9]11.14.8664[607.6-725.7]15.77.3282[241.3-329.6]6.52.7
Syrian Arab Republic380[194.6-742.2]2.13200[93.4-428.1]2.23.4180[44.1-734.9]22.6
Tajikistan272[219.9-336.5]34.7163[124.4-213.6]3.66109[77.2-153.9]2.43.7
Tanzania, United Republic of1 537[1081.3-2184.8]2.64.91 162[757.1-1783.4]48.1375[202.6-694.2]1.32.2
Thailand23 296[22644.5-23966.2]33.72116 299[15759.3-16857.2]48.332.26 997[6638.4-7375.0]19.711.4
The former Yugoslav Republic of Macedonia185[122.7-278.9]8.95121[71.5-204.9]11.67.164[33.2-123.2]6.13.1
The Netherlands1 001[891.7-1123.7]5.92.5620[527.1-729.2]7.33.4381[323.1-449.3]4.41.8
The Republic of the Gambia319[273.7-371.9]14.723.9245[205.5-292.1]22.936.574[54.1-101.3]6.812
Timor-Leste38[20.5-70.3]2.95.327[12.9-56.3]47.311[3.5-34.2]1.73.2
Togo312[280.2-347.5]3.96.9207[182.0-235.4]5.29.7105[86.2-127.9]2.64.4
Trinidad and Tobago66[45.7-95.4]4.83.336[21.7-59.7]5.33.930[17.5-51.3]4.32.8
Tunisia355[254.1-496.0]32.6163[105.7-251.5]2.82.5192[113.5-324.7]3.32.7
Turkey4 362[3969.3-4793.5]5.34.52 779[2484.7-3108.1]6.96.61 583[1328.5-1886.2]3.82.8
Turkmenistan281[237.9-331.8]4.86175[141.4-216.5]6.18.4106[81.2-138.3]3.64.1
Uganda1 811[1416.2-2315.9]4.17.61 169[847.3-1612.8]5.310.1642[438.5-939.9]2.95.4
Ukraine1 787[1660.4-1923.2]4.12.21 003[910.7-1104.6]4.93.2784[700.0-878.1]3.31.6
United Arab Emirates97[76.6-122.9]14.262[46.2-83.2]0.94.335[23.5-52.0]1.34.3
United Kingdom7618[7346.6-7899.4]11.45.14 832[4625.2-5048.1]14.772 786[2611.0-2972.7]8.33.3
United States of America37 948[37032.2-38886.5]11.66.827 282[26426.9-28164.8]16.910.410 666[10267.4-11080.1]6.53.4
Uruguay158[123.5-202.2]4.62.6114[78.7-165.1]6.84.444[31.5-61.4]2.51.3
Uzbekistan1 455[1332.6-1588.7]4.55.6792[705.3-889.4]4.96.8663[579.4-758.7]4.14.6
Vanuatu28[17.1-45.8]9.913.122[12.8-37.9]15.420.26[1.9-18.8]4.36.2
Venezuela, Bolivarian Republic of1 193[1044.6-1362.5]3.73.6646[523.7-796.8]44.3547[460.8-649.4]3.43
Viet Nam25 335[23627.6-27165.8]26.323.219 568[18064.2-21197.0]41395 767[4999.5-6652.4]11.89.5
Yemen620[511.0-752.3]2.14.4402[315.1-512.9]2.86.3218[158.6-299.7]1.52.7
Zambia194[114.5-328.7]1.12.2108[54.7-213.1]1.22.886[37.3-198.4]0.971.8
Zimbabwe577[468.9-710.0]3.46.9321[246.0-418.9]3.98.7256[183.9-356.4]35.6
World841 080[817635.0-865198.0]119.3596 574[576976.0-616838.0]15.513.9244 506[231861.0-257840.0]6.54.9
The ASMR of LC was equal to 4.8 (7.1 in men, and 2.8 in women) in North America, 4.4 (6.8 in men, and 2.4 in women) in Europe, 10.5 (15.8 in men and 5.5 in women) in Asia, 5.8 (8.3 in men and 3.4 in women) in Oceania, 4.8 (7.1 in men and 2.8 in women) in Latin America and Caribbean, and 8.3 (11.9 in men and 5.2 in women) in Africa. Of the total number of deaths of LC in the world, the highest proportion occurred in Asia and the lowest proportion in Oceania, so that 72.44% of cases occurred in Asia, 9.89% in Europe, 4.39% in North America, 4.66% in Latin America and Caribbean, 8.13% in Africa and 0.49% in Oceania (Tab. II, Figs. 1-4). In addition, numbers, crude rate and ASMR of LC in worldwide countries are visible in the Supplementary data (Tab. SII).
Tab. II.

The age-standardized mortality rate of liver cancer in different regions of the world in 2018.

PopulationAllMenWomen
NumbersCrudeRateASR(W)NumbersCrudeRateASR(W)NumbersCrudeRateASR(W)
World781,63110.28.5548,37514.212.7233,2566.24.6
WHO regionsWHO Africaregion (AFRO)36,2393.45.923,3154.3812,9242.44
WHO Americasregion (PAHO)70,77574.842,5398.56.328,2365.53.4
WHO East Mediterranean region (EMRO)38,6375.67.826,3587.410.512,2793.75
WHO Europeregion (EURO)86,4079.44.455,85012.56.830,5576.42.5
WHO South-East Asia region (SEARO)81,3474.14.357,6975.76.223,6502.42.4
WHO Western Pacific region (WPRO)468,06524.215.8342,50134.724.1125,56413.37.8
ContinentsAfrica63,5624.98.342,7866.711.920,7763.25.2
Asia566,26912.510.5410,22317.615.8156,04675.5
Europe77,37510.44.450,365146.827,01072.4
Latin Americaand the Caribbean36,4365.64.719,6506.15.716,7865.13.9
North America34,3399.44.822,88912.77.111,4506.22.8
Oceania3,6508.85.82,46211.98.31,1885.83.4
Human Development Index (HDI)China368,96025.917.1273,01437.325.695,94613.98.6
High HDI73,651181345,10725.519.428,54410.36.8
India25,6271.9217,5482.52.88,0791.21.3
Low HDI32,6743.25.920,7544.17.911,9202.34.2
Medium HDI113,44355.781,39078.332,05333.2
Very high HDI167,010125.3110,37916.18.156,6318.12.9
Income levelsHigh income47,4777.82.747,4777.82.747,4777.82.7
Low income10,2952.74.510,2952.74.510,2952.74.5
Low middle income42,2452.93.142,2452.93.142,2452.93.1
Upper middle income129,546106.6129,546106.6129,546106.6
World regionsAustralia and New Zealand2,7099.24.71,88112.878285.62.5
Caribbean2,7916.34.71,5887.35.81,2035.43.7
Central America10,6725.95.95,32466.45,3485.95.5
Centraland Eastern Europe22,7457.83.913,5819.96.19,1645.92.4
Eastern Africa11,2512.64.76,7993.26.24,45223.5
Eastern Asia427,93225.916312,22836.924.2115,70414.38
Melanesia8197.810.64919.213.13286.38.3
Micronesia6812.8125420.119.8145.34.9
Middle Africa5,8533.56.54,0564.89.51,7972.13.9
North America34,3399.44.822,88912.77.111,4506.22.8
Northern Africa27,50511.613.919,57016.420.47,9356.77.7
Northern Europe9,9979.53.86,08811.85.23,9097.42.5
Polynesia547.87.43610.210.6185.34.5
South America22,9735.44.312,73865.510,2354.73.4
South-Central Asia40,8122.12.327,0602.73.213,7521.41.5
South-Eastern Asia88,42913.513.265,23819.920.923,1917.16.5
Southern Africa2,5973.94.71,61457.19832.93.1
Southern Europe21,99614.45.314,80019.88.37,1969.22.6
Western Africa16,3564.38.210,7475.611.15,60935.6
Western Asia9,0963.445,69745.43,3992.62.8
Western Europe22,63711.74.515,89616.676,7416.92.2
Tab. SII.

The age-standardized mortality rate of LC in 185 countries of the world in 2018.

CountriesAllMaleFemale
NumbersUncertainty intervalCrude RateASR (W)NumbersUncertainty intervalCrude RateASR (W)NumbersUncertainty intervalCrude RateASR (W)
Afghanistan621[487.6-790.9]1.73.8374[277.1-504.9]24.7247[1641-371.8]1.42.9
Albania430[370.0-499.7]14.77.6259[213.1-314.8]17.59.6171[135.1-216.5]11.85.7
Algeria544[424.3-697.5]1.31.4302[213.8-426.6]1.41.6242[169.2-346.1]1.21.2
Angola547[355.7-841.3]1.83.5350[212.3-577.1]2.34.8197[84.5-459.0]1.32.3
Argentina2 113[1963.0-22744]4.73.21 206[1095.1-1328.2]5.54.4907[809.3-1016.4]42.3
Armenia455[370.9-558.2]15.59.4262[214.2-320.4]1913.5193[65.9-565.6]12.46.3
Australia2 356[2200.3-2522.8]9.54.81 617[1485.9-1759.6]13.17.2739[657.8-830.2]5.92.6
Austria947[852.6-1051.8]10.84.3696[618.1-783.7]16.27.2251[200.5-314.2]5.61.8
Azerbaijan374[320.8-436.0]3.83.5184[149.5-226.4]3.73.9190[151.2-238.7]3.83.2
Bahamas14[7.9-24.8]3.52.310[46-21.5]5.13.94[1.7-9.4]21.1
Bahrain28[16.2-48.3]1.83.318[9.0-36.1]1.83.710[4.2-23.9]1.72.7
Bangladesh2 841[2230.6-3618.4]1.722 117[1568.3-2857.7]2.53.1724[481.0-1089.7]0.880.99
Barbados14[7.8-25.0]4.92.47[3.0-16.1]5.137[3.1-15.7]4.71.9
Belarus374[311.0-449.8]42.2249[195.9-316.5]5.73.8125[93.7-166.8]2.51.1
Belgium1 004[926.6-1087.9]8.73.6630[576.2-688.9]11.15.1374[305.7-457.6]6.42.1
Belize19[11.9-30.4]58.414[7.5-26.0]7.412.25[2.4-10.2]2.64.4
Benin309[193.6-493.1]2.75.3237[122.8-457.4]4.19.972[37.0-139.9]1.32.3
Bhutan33[28.8-37.8]45.127[22.8-32.0]6.27.66[4.8-7.5]1.62
Bolivia, Plurinational State of667[580.7-766.1]5.96299[242.8-368.2]5.35.5368[305.7-443.1]6.66.6
Bosnia and Herzegovina524[473.3-580.2]156.4276[240.0-317.4]167.9248[213.8-287.7]13.95.2
Botswana60[40.7-88.4]2.63.839[23.9-63.6]3.46.321[11.1-39.7]1.82.2
Brazil11 797[11462.0-12141.8]5.64.46 906[6660.3-7160.7]6.75.94 891[4664.0-5129.1]4.63.2
Brunei31[20.2-47.6]7.18.326[14.1-48.0]11.6145[2.7-9.1]2.42.8
Bulgaria585[515.5-663.9]8.33.6378[328.0-435.6]11.15.4207[156.5-273.8]5.72
Burkina Faso1 269[682.7-2358.8]6.413.5771[399.5-1488.1]7.818.7498[77.5-3198.4]59.5
Burundi409[213.6-783.0]3.66.6288[124.3-667.2]5.29.7121[43.5-336.8]2.13.8
Cabo Verde47[32.7-67.5]8.511.226[15.8-42.8]9.411.821[12.4-35.5]7.69.7
Cambodia2 546[1408.7-4601.4]15.721.91 695[839.2-3423.4]21.434.7851[284.2-2548.5]10.212.7
Cameroon895[581.9-1376.5]3.66683[414.2-1126.1]5.59.2212[91.0-494.0]1.72.9
Canada3 845[3578.4-4131.4]10.44.52318[2129.3-2523.5]12.661 527[1334.5-1747.3]8.23.2
Central African Republic133[86.5-204.5]2.84.891[55.2-150.0]3.96.942[18.0-97.9]1.72.9
Chad372[241.9-572.1]2.45.3254[154.1-418.8]3.37.5118[50.6-275.0]1.53.3
Chile1 448[1336.6-1568.7]84.9781[701.3-869.8]8.76.1667[591.7-751.9]7.33.9
China368 960[363309.0-374699.0]25.917.1273 014[268132.0-277985.0]37.325.695 946[93128.5-98848.7]13.98.6
Colombia2216[2048.6-2397.1]4.53.81 156[995.2-1342.7]4.84.51 060[966.6-1162.5]4.23.2
Comoros28[146-53.6]3.45.818[7.8-41.7]4.37.810[3.6-27.8]2.43.9
Congo, Democratic Republic of3 624[2356.4-5573.6]4.38.12 479[1503.5-4087.3]5.911.91 145[491.4-2668.1]2.74.9
Congo, Republic of186[136.9-252.6]3.45.4131[90.5-189.6]4.8855[31.9-95.0]23.2
Costa Rica395[331.3-470.9]85.6238[188.7-300.2]9.67.2157[120.0-205.4]6.34.1
Croatia547[483.6-618.7]13.15.2364[314.8-420.8]18.18.4183[145.0-231.0]8.52.6
Cuba773[691.1-864.6]6.73.3448[388.7-516.3]7.84.1325[270.9-390.0]5.72.6
Cyprus101[77.6-131.5]8.54.664[46.1-88.9]10.86.337[23.8-57.5]6.23
Czechia874[784.7-973.4]8.23.2565[491.2-649.9]10.84.8309[261.0-365.8]5.72
Côte d'Ivoire1 130[914.3-1396.5]4.58.4712[550.3-921.2]5.69.8418[288.2-606.3]3.46.9
Denmark580[501.2-671.2]10.14.2370[304.9-449.1]12.95.9210[168.1-262.3]7.32.6
Djibouti17[8.9-32.5]1.82.410[43-23.2]2.12.97[2.5-19.5]1.42
Dominican Republic650[548.9-769.8]65.8353[280.1-444.9]6.56.7297[231.8-380.6]5.45
Ecuador953[860.4-1055.6]5.75.1471[405.2-547.5]5.65.5482[419.3-554.1]5.74.7
Egypt25 084[23515.3-26757.3]25.231.818 209[16924.1-19591.5]36.248.46 875[5993.1-7886.7]1416.6
El Salvador500[416.7-599.9]7.86.5202[156.8-260.2]6.76.2298[229.2-387.4]8.86.8
Equatorial Guinea42[27.3-64.6]3.24.933[20.0-54.4]4.56.59[3.9-21.0]1.52.9
Eritrea90[47.0-172.3]1.73.249[21.2-113.5]1.93.741[14.7-114.1]1.62.8
Estonia95[76.6-117.9]7.32.957[43.0-75.6]9.34.838[27.2-53.1]5.51.6
Eswatini35[22.4-54.6]2.53.919[10.4-34.7]2.8516[8.3-30.9]2.23.2
Ethiopia1 656[1032.5-2655.9]1.52.7759[387.7-1485.8]1.42.7897[461.5-1743.3]1.72.8
Fiji75[56.2-100.2]8.28.253[37.6-74.7]11.512.222[12.8-37.7]4.94.6
Finland579[507.0-661.2]10.43.6377[312.9-454.2]13.85.5202[167.2-244.1]7.22.1
France10 063[9742.7-10393.8]15.46.37 376[7117.9-7643.5]2310.42 687[2487.4-2902.6]8.12.6
France, Guadeloupe30[19.9-45.2]6.72.620[12.0-33.4]9.64.210[5.0-19.9]4.11.3
France, La Réunion89[69.1-114.6]10.16.160[44.0-81.9]149.329[18.8-44.7]6.43.3
France, Martinique38[26.1-55.4]9.93.822[13.4-36.2]12.65.116[9.0-28.4]7.62.7
France, New Caledonia26[16.8-40.3]9.36.819[11.3-32.0]13.510.67[3.1-15.6]53.4
French Guiana12[7.5-19.2]4.14.911[5.2-23.3]7.69.51[0.50-1.8]0.690.7
French Polynesia34[22.3-51.8]11.99.523[12.2-43.3]15.813.411[6.2-19.4]7.85.6
Gabon52[35.4-76.4]2.53.333[20.6-52.8]3.13.919[9.7-37.2]1.92.6
Gaza Strip and West Bank45[24.8-81.7]0.891.830[15.3-58.9]1.22.415[4.3-52.9]0.61.2
Georgia370[319.4-428.6]9.55.2227[195.2-264.0]12.28143[84.8-241.3]73
Germany8 643[8358.0-8937.7]10.53.85 936[5685.9-6197.1]14.65.72 707[2566.0-2855.7]6.52.1
Ghana2 737[2351.4-3185.8]9.315.42 000[1673.3-2390.5]13.624.3737[551.7-984.5]57.6
Greece1 478[1355.7-1611.4]13.34.5984[880.2-1100.0]17.96.7494[430.8-566.4]8.72.7
Guam25[19.8-31.5]15.111.920[15.4-26.0]23.819.25[3.1-8.1]6.14.9
Guatemala1 741[1578.0-1920.8]10.114.5832[721.8-959.0]9.815.4909[793.3-1041.6]10.413.8
Guinea1 413[1098.3-1817.8]10.819.5866[633.2-1184.3]13.225547[357.8-836.2]8.414.5
Guinea-Bissau127[68.3-236.1]6.71285[44.0-164.1]9.117.542[6.5-269.7]4.37.4
Guyana20[12.2-32.7]2.62.810[5.0-20.0]2.52.810[5.0-20.0]2.62.7
Haiti653[539.3-790.6]5.97.8347[285.0-422.5]6.39.1306[135.9-689.2]5.46.6
Honduras378[320.9-445.2]45.4275[218.2-346.6]5.98.2103[81.7-129.8]2.22.9
Hungary920[829.5-1020.4]9.54.4628[556.7-708.5]13.67.3292[238.6-357.4]5.82.1
Iceland24[16.9-34.1]7.13.517[9.9-29.3]105.17[4.4-11.1]4.22
India25 627[24053.8-27303.2]1.9217 548[16268.1-18928.7]2.52.88 079[7196.8-9069.3]1.21.3
Indonesia18 148[15797.0-20848.8]6.87.514 047[11925.3-16546.2]10.512.34 101[3158.3-5325.1]3.13.3
Iran, Islamic Republic of3 439[3311.2-3571.7]4.24.71 977[1881.3-2077.6]4.85.21 462[1378.8-1550.2]3.64.1
Iraq538[472.1-613.1]1.42.7279[233.5-333.4]1.43.1259[213.7-313.9]1.32.3
Ireland380[326.5-442.3]7.94245[190.8-314.6]10.35.7135[111.3-163.8]5.62.5
Israel397[342.9-459.6]4.73234[201.5-271.7]5.64.1163[96.1-276.6]3.82
Italy10 535[10214.5-10865.6]17.85.77 127[6846.9-7418.6]24.69.23 408[3246.8-3577.2]11.22.7
Jamaica103[81.0-130.9]3.62.754[39.1-74.6]3.72.949[34.3-70.1]3.42.6
Japan28 986[28306.8-29681.5]22.85.418 539[17987.1-19107.9]29.98.610 447[10055.0-10854.2]162.7
Jordan178[135.6-233.6]1.82.995[66.8-135.1]1.93.383[54.2-127.2]1.72.6
Kazakhstan989[920.0-1063.2]5.45605[551.7-663.4]6.87.6384[341.7-431.6]43.3
Kenya1 331[10040-1764.6]2.65.3752[527.0-1073.0]36.2579[364.4-920.1]2.34.4
Korea, Democratic Republic of5 246[4891.0-5626.7]20.5153 498[3194.0-3830.9]27.923.51 748[1566.0-1951.2]13.48
Korea, Republic of12 122[11758.6-12496.6]23.711.88 819[8516.9-9131.8]34.519.53 303[3102.9-3516.0]12.95.2
Kuwait114[84.2-154.3]2.7582[57.5-116.9]3.4632[18.2-56.2]1.83.6
Kyrgyzstan415[351.0-490.7]6.88.7252[199.1-319.0]8.312.2163[128.4-206.9]5.36
Lao People's Democratic Republic1 032[571.0-1865.1]14.822.4713[353.0-1440.0]20.533.4319[106.5-955.3]9.113
Latvia138[113.6-167.6]7.23.187[69.5-108.9]9.85.351[34.1-76.2]4.91.6
Lebanon216[172.5-270.5]3.53127[94.6-170.5]4.23.589[62.8-126.1]2.92.5
Lesotho67[39.2-114.6]34.441[20.8-80.9]3.76.626[10.8-62.5]2.23
Liberia422[227.0-784.4]8.715.4254[131.6-490.2]10.419.2168[26.2-1079.0]711.9
Libya147[93.6-230.8]2.33.371[39.0-129.1]2.23.476[38.2-151.0]2.43.1
Lithuania222[181.4-271.7]7.73.3136[104.8-176.5]10.35.586[62.5-118.4]5.51.8
Luxembourg53[39.1-71.9]94.436[24.8-52.3]12.16.517[10.0-28.8]5.82.5
Madagascar908[474.3-1738.4]3.56586[252.9-1357.6]4.58.5322[115.7-896.4]2.43.8
Malawi312[163.0-597.3]1.62.5185[79.9-428.6]1.92.9127[45.6-353.5]1.32
Malaysia1 933[1760.2-2122.7]66.31 467[1315.9-1635.5]8.99.6466[387.6-560.3]33
Maldives26[25.8-26.2]5.98.221[20.8-21.2]8.312.15[4.9-5.1]2.63.7
Mali545[416.8-712.6]2.95.9402[295.6-546.7]4.29.7143[82.6-247.5]1.52.7
Malta24[15.5-37.2]5.62.416[9.2-27.9]7.43.68[3.9-16.4]3.71.1
Mauritania326[175.4-606.0]7.211.5224[116.1-432.3]9.816.9102[15.9-655.1]4.56.7
Mauritius53[38.9-72.1]4.22.727[17.6-41.4]4.32.926[16.7-40.6]4.12.4
Mexico6 868[6578.5-7170.2]5.35.13 361[3175.3-3557.5]5.25.33 507[3283.0-3746.3]5.34.9
Mongolia1 773[1671.3-1880.9]56.875.41 067[988.2-1152.0]69.198.4706[643.5-774.6]44.756.8
Montenegro52[36.6-74.0]8.33.933[21.1-51.7]10.65.719[10.8-33.5]62.5
Morocco411[270.9-623.6]1.11.1236[135.7-410.4]1.31.3175[92.8-330.0]0.960.9
Mozambique1 173[905.2-1520.0]3.86.7700[499.2-981.6]4.79.4473[316.0-708.1]34.7
Myanmar5 360[2965.8-9687.1]1010.13 571[1768.1-7212.3]13.614.71 789[597.4-5357.6]6.56.3
Namibia47[27.5-80.4]1.82.931[15.7-61.1]2.54.216[6.7-38.4]1.21.8
Nepal260[181.6-372.2]0.881154[97.9-242.2]1.11.3106[58.8-191.0]0.70.8
New Zealand353[292.6-425.9]7.43.9264[192.7-361.7]11.36.489[70.2-112.9]3.71.7
Nicaragua533[457.3-621.2]8.59.9290[240.1-350.3]9.412.3243[187.1-315.7]7.68
Niger759[481.0-1197.7]3.47.2590[345.9-1006.5]5.311.5169[70.3-406.1]1.53
Nigeria5 154[3920.8-6775.0]2.65.13 192[2300.6-4428.9]3.26.11 962[1193.5-3225.3]24.2
Norway328[276.8-388.6]6.12.9220[179.6-269.5]8.14.2108[79.3-147.1]4.11.7
Oman111[72.5-170.0]2.34.386[50.9-145.2]2.75.625[12.0-52.2]1.52.6
Pakistan4 222[3585.2-4971.9]2.132 608[2130.5-3192.6]2.53.61 614[1222.5-2130.8]1.72.2
Panama238[194.3-291.5]5.74.6112[84.5-148.5]5.44.7126[94.1-168.7]6.14.5
Papua New Guinea635[373.9-1078.4]7.510.9354[188.2-665.8]8.312.5281[106.4-742.2]6.89.4
Paraguay182[136.9-242.0]2.62.9114[78.2-166.2]3.33.768[44.0-105.0]22.1
Peru2 239[20743-2416.8]6.96.31 057[948.1-1178.4]6.56.51 182[1061.6-1316.1]7.36.2
Philippines9 485[8937.5-10066.0]8.911.46 776[6312.7-7273.3]12.617.72 709[2428.3-3022.2]5.16
Poland2 230[2092.9-2376.1]5.92.71 305[1194.3-1426.0]7.13.9925[844.7-1013.0]4.71.7
Portugal1 372[1217.2-1546.5]13.35.2980[840.0-1143.3]20.18.9392[324.1-474.1]7.22.1
Puerto Rico375[327.9-428.9]10.25.3249[207.0-299.5]14.28.5126[103.7-153.2]6.62.8
Qatar40[29.0-55.2]1.5435[24.3-50.4]1.75.65[2.6-9.6]0.741.8
Republic of Moldova700[601.9-814.1]17.311.2448[372.8-538.4]23.117.3252[193.4-328.4]126.7
Romania3 141[2976.7-3314.4]167.52 003[1869.4-2146.1]21.111.31 138[1044.6-1239.8]11.34.4
Russian Federation11 192[10886.5-11506.1]7.84.16 432[6187.1-6686.6]9.66.44 760[4575.8-4951.6]6.22.6
Rwanda704[463.7-1068.9]5.610.2457[271.0-770.7]7.514.9247[123.3-494.8]3.96.5
Saint Lucia4[2.6-6.2]2.21.13[1.8-5.0]3.421[0.40-2.4]1.10.34
Samoa7[3.0-16.3]3.54.85[1.8-13.6]4.97.12[0.40-9.7]2.12.6
Sao Tome and Principe8[3.8-16.8]3.88.37[3.2-15.4]6.714.81[0.10-9.2]0.952.6
Saudi Arabia852[693.0-1047.5]2.54.2636[499.2-810.3]3.35.8216[145.4-320.9]1.52.4
Senegal1 083[582.6-2013.1]6.612.6679[351.8-1310.5]8.518404[62.9-2594.7]4.98.5
Serbia892[806.1-987.0]10.24.7515[449.0-590.7]126.3377[324.4-438.1]8.43.5
Sierra Leone374[337.3-414.7]4.89.5225[199.0-254.3]5.911.9149[123.0-180.5]3.87.2
Singapore1 298[1199.2-1405.0]22.411.4924[840.8-1015.5]32.317.7374[323.3-432.6]12.85.7
Slovakia473[421.0-531.4]8.74.3302[265.6-343.4]11.46.7171[125.8-232.4]6.12.5
Slovenia268[234.6-306.2]12.95175[148.3-206.6]16.97.693[74.4-116.3]8.92.6
Solomon Islands55[32.3-93.6]8.813.743[22.8-81.1]13.620.712[4.5-31.8]3.96.7
Somalia241[125.9-461.4]1.63.3123[53.1-285.0]1.63.5118[42.4-328.5]1.53.2
South Africa2 388[2231.2-2555.8]4.24.81 484[1362.9-1615.9]5.37.2904[807.8-1011.6]3.13.1
South Sudan406[212.1-777.3]3.15.2259[111.8-600.0]46.8147[52.8-409.2]2.33.7
Spain5 569[5349.6-5797.4]124.73 872[3693.9-4058.7]177.61 697[1571.0-1833.0]7.22
Sri Lanka614[497.3-758.2]2.92.2403[317.2-512.0]43.1211[135.1-329.6]1.91.4
Sudan906[610.2-1345.2]2.23.7560[343.7-912.4]2.74.7346[176.4-678.6]1.72.7
Suriname43[30.1-61.4]7.67.126[16.5-41.1]9.19.717[9.6-30.1]64.9
Sweden785[709.2-868.9]7.93.1519[456.4-590.2]10.44.5266[225.5-313.8]5.31.8
Switzerland875[764.9-1001.0]10.24.1567[486.7-660.6]13.45.8308[232.0-408.8]7.12.6
Syrian Arab Republic380[208.6-692.2]2.13198[100.1-391.5]2.13.4182[51.6-641.8]22.6
Tajikistan253[210.7-303.8]2.84.4153[121.2-193.1]3.35.5100[74.3-134.6]2.23.4
Tanzania, United Republic of1 516[1028.7-22342]2.651 146[714.5-1838.0]3.98.2370[187.6-729.7]1.22.2
Thailand23 154[22448.8-23881.3]33.520.916 284[15696.9-16893.1]48.332.36 870[6486.9-7275.7]19.411.1
The former Yugoslav Republic of Macedonia187[132.3-264.4]95122[78.2-190.3]11.77.165[37.4-113.0]6.23.1
The Netherlands1 044[966.3-1127.9]6.12.5648[593.2-707.8]7.63.3396[3346-468.7]4.61.7
The Republic of the Gambia343[288.1-408.4]15.926.2267[218.6-326.1]24.941.176[53.2-108.6]712.4
Timor-Leste38[21.0-68.7]2.95.327[13.4-54.5]47.411[3.7-32.9]1.73.2
Togo310[279.7-343.6]3.96.9210[185.7-237.5]5.39.8100[82.8-120.7]2.54.2
Trinidad and Tobago63[46.0-86.2]4.63.234[22.1-52.3]53.729[18.4-45.8]4.22.7
Tunisia356[246.3-514.5]3.12.6147[91.2-237.0]2.62.3209[117.2-372.7]3.52.8
Turkey4 307[4119.8-4502.7]5.34.42 747[2626.6-2872.9]6.86.51 560[1110.5-2191.5]3.82.7
Turkmenistan262[226.7-302.8]4.55.6161[133.8-193.8]5.67.6101[80.1-127.3]3.43.9
Uganda1 552[1169.7-2059.3]3.56.7947[654.0-1371.2]4.38.8605[390.3-937.8]2.75.1
Ukraine2 256[2102.7-2420.5]5.12.71 271[1159.5-1393.2]6.23.9985[882.8-1099.1]4.21.8
United Arab Emirates96[73.6-125.2]14.261[43.8-84.9]0.894.235[22.4-54.6]1.34.2
United Kingdom6 836[6586.4-7095.1]10.344 042[3845.3-4248.8]12.35.32 794[2642.3-2954.4]8.32.8
United States of America30 485[29839.9-31144.1]9.34.920 564[19973.4-21172.1]12.77.29 921[9613.4-10238.4]62.8
Uruguay131[103.7-165.5]3.82.180[55.1-116.1]4.83.151[37.7-69.0]2.81.3
Uzbekistan1 210[1066.3-1373.1]3.74.7660[554.6-785.5]4.15.5550[457.5-661.1]3.44
Vanuatu28[16.5-47.5]9.913.122[11.7-41.4]15.420.26[2.3-15.8]4.36.2
Venezuela, Bolivarian Republic of1 152[1031.0-1287.1]3.63.5621[521.2-739.9]3.94.2531[460.1-612.8]3.32.9
Viet Nam25 404[23442.7-27529.3]26.323.219 708[17974.3-21608.9]41.339.15 696[4832.2-6714.2]11.79.4
Yemen595[486.6-727.6]2.14.3396[307.4-510.2]2.76.2199[142.9-277.1]1.42.6
Zambia173[95.5-313.4]0.982.1101[47.0-217.2]1.22.772[28.1-184.6]0.811.5
Zimbabwe580[455.7-738.1]3.47324[237.8-441.5]3.98.8256[174.3-376.1]35.6
World781 631[737605.0-828285.0]10.28.5548 375[511583.0-587813.0]14.212.7233 256[209922.0-259184.0]6.24.6

THE ASIR AND ASMR OF LC ACCORDING TO THE WHO CLASSIFICATION

The ASIR of LC was equal to 17.4 (26.4 in men, and 8.5 in women) in WPRO, 5.1(7.9 in men, and 2.8 in women) in EURO, 5.6 (7.8 in men and 3.7 in women) in PAHO, 4.5 (6.5 in men and 2.6 in women) in SEARO, 7.9 (10.7 in men and 5 in women) in EMRO, and 6 (8.1 in men and 4.1 in women) in AFRO. Of the total incidence of this disease, 60.33% occurred in WPRO, 10.93% in EURO, 9.54% in PAHO, 10.07% in SEARO, 4.68% in EMRO, and 4.46% in AFRO (Tab. I). The ASMR of LC was equal to 15.8(24.1 in men, and 7.8 in women) in WPRO, 4.4 (6.8 in men, and 2.5 in women) in EURO, 4.8 (6.3 in men and 3.4 in women) in PAHO, 4.3 (6.2 in men and 2.4 in women) in SEARO, 7.8 (10.5 in men and 5 in women) in EMRO, and 5.9 (8 in men and 4 in women) in AFRO. Of the total mortality of this disease, 59.88% occurred in WPRO, 11.05% in EURO, 9.05% in PAHO, 10.4% in SEARO, 4.94% in EMRO, and 4.68% in AFRO (Tab. II).

THE ASIR AND ASMR OF LC ACCORDING TO THE LEVELS OF HUMAN DEVELOPMENT INDEX (HDI)

The ASIR of LC was equal to 6.9 (10.6 in men, and 3.5 in women) in regions with very high HDI, 13.8 (20.8 in men, and 7.2 in women) in regions with high HDI, 5.9 (8.6 in men and 3.3 in women) in regions with medium HDI, 6 (7.9 in men and 4.3 in women) in regions with low HDI, 18.3 (27.6 in men and 9 in women) in China, and 2.2 (3.1 in men and 1.4 in women) in India. Of the total incidence of this disease, 23.19% occurred in regions with very high HDI, 9.04% in regions with high HDI, 13.74% in regions with medium HDI, 3.97% in regions with low HDI, 46.70% in China,and 3.28% in India (Tab. I) The ASMR of LC was equal to 5.3 (8.1 in men, and 2.9 in women) in regions with very high HDI, 13 (19.4 in men, and 6.8 in women) in regions with high HDI, 5.7 (8.3 in men and 3.2 in women) in regions with medium HDI, and 5.9 (7.9 in men and 4.2 in women) in regions with low HDI. Of the total incidence of this disease, 21.36% occurred in regions with very high HDI, 9.42% in regions with high HDI, 14.51% in regions with medium HDI, and 4.18% in regions with low HDI, 47.20% in China,and 3.33% in India (Tab. II).

PREDICTING THE INCIDENCE AND MORTALITY OF LC FROM 2018 TO 2040

The number of new cases of LC is predicted to increase from 841,080 case in 2018 to 883,925 (+5.1%), 997,895 (+18.6%), 1,118,358 (+33.0%), 1,241,726 (+47.6%) and 1361836 (+61.9%) case in 2020, 2025, 2030, 2035 and 2040, respectively. In addition, the number of mortality from LC increases from 781631 case in 2018 to 821,727 (+5.1), 930,121 (+19.0%), 1,046,114 (+33.8%), 1,166,317 (+49.2%) and 1,284,252 (+64.3%) case in 2020, 2025, 2030, 2035 and 2040, respectively (Tab. III).
Tab. III.

Predicting the incidence and mortality cases of LC from 2018 to 2040.

Year201820202025203020352040
EventSexNumberNumberDemographic change (APC 0%)NumberDemographic change (APC 0%)NumberDemographic change (APC 0%)NumberDemographic change (APC 0%)NumberDemographic change (APC 0%)
IncidenceMales596,574626,76730,193 (+5.1%)706,015109,441 (+18.3%)788,519191,945 (+32.2%)872,035275,461 (+46.2%)952,887356,313 (+59.7%)
Females244,506257,15812,652 (+5.2%)291,88047,374 (+19.4%)329,83985,333 (+34.9%)369,691125,185 (+51.2%)408,949164,443 (+67.3%)
Both sexes841,080883,92542,845 (+5.1%)997,895156,815 (+18.6%)1,118,358277,278 (+33.0%)1,241,726400,646 (+47.6%)1,361,836520,756 (+61.9%)
MortalityMales548,375576,35427,979 (+5.1%)650,956102,581 (+18.7%)729,536181,161 (+33.0%)809,877261,502 (+47.7%)888,195339,820 (+62.0%)
Females233,256245,37312,171 (+5.2%)279,16545,909 (+19.7%)316,57883,322 (+35.7%)356,440123,184 (+52.8%)396,057162,801 (+69.8%)
Both sexes781,631821,72740,096 (+5.1%)930,121148,490 (+19.0%)1,046,114264,483 (+33.8%)1,166,317384,686 (+49.2%)1,284,252502,621 (+64.3%)

RELATIONSHIP BETWEEN ASIR AND ASMR OF LC WORLDWIDE

There was a statistically significant correlation between ASIR and ASMR of LC worldwide at the level of 0.987 (P ≥ 0.001). This correlation was equal to 0.994 (P ≥ 0.001) in Asia, 0.848 (P ≥ 0.001) in Europe, 0.996 (P ≥ 0.001) in Africa, 0.964 (P ≥ 0.001) in the Latin America and the Caribbean and 0.764 (P = 0.010) in Oceania (Fig. 5).
Fig. 5.

Correlation of ASIR and ASMR of LC.

Discussion

The present study was based on data from GLOBOCAN PROJECT that was internationally conducted by WHO in 2018. The study aimed to examine the geographical distribution of incidence and mortality of LC based on geographical, political and economic divisions at the international level. It also predicts the number of incidence and mortality cases of LC from 2018 to 2040. Cancer is considered as an important health problem in developing countries, especially Asian countries, so that it is one of the most important causes of death in some Asian countries such as South Korea and Japan. It seems that if current management plans and strategies are not changed, the number of deaths from cancer will increase by more than 7000000 per year in these areas until 2020 [18, 19]. According to this, current study found that most cases of incidence and mortality of LC occurred in less developed regions of the world in 2018. According to a research by Chang et al., hepatocellular carcinoma (HCC) caused by the chronic infection with hepatitis B was more common in areas with a low and moderate HDI mostly in Asia and Africa [20]. On the other hand, the increased incidence of hepatocellular carcinoma in developed countries was due to the higher prevalence of alcohol consumption and hepatitis C infection [21]. Distribution of cancer in different regions of the world varies according to the HDI. Different cancers are considered as the most common cancers in regions with low, medium, high and very high HDI. Lung, colorectal, prostate, and breast cancers are considered as the most common cancers in areas with high and very high HDI; and they account for more than 50% of all new cancer cases in these areas. Meanwhile, in areas with low and moderate HDI, the lung, breast, colorectal, stomach, liver and cervical cancers are also diagnosed as cancers with the highest incidence and severity. However, in areas with low HDI, cancers associated with infectious agents account for a high proportion of cancer incidence and mortality [21-23]. In 2018, the incidence of LC was 5.1 and 6.6 per 100,000 people in Europe and North America, respectively. While the incidence of this disease was 11.4 and 8.4 in Asia and Africa, respectively, indicating the high incidence of disease in less developed regions of the world. Top ten countries with the highest incidence of LC in 2018 were as follows: Mongolia with ASIR = 117, Egypt with ASIR = 49, Viet Nam with ASIR = 39, The Gambia with ASIR = 36.5, Lao People’s Democratic Republic with ASIR = 33.4, Thailand with ASIR = 32.2, Guinea with ASIR = 27.9, Republic of Korea with ASIR = 27.7, China with ASIR = 27.6,and Democratic Republic of Korea with ASIR = 25.4 [21]. Among 10 countries with the highest standardized LC incidence worldwide, 3 countries were located in Africa and 7 countries in Asia. Most of these countries with low or moderate HDI were located in less developed regions [6, 24-29]. In the present study, there was a significant statistical correlation between ASIR and ASMR of LC in the world, Europe, Asia, Africa, the Oceania, and the United States, in other words, an increase in the incidence of LC significantly enhanced its mortality rate. Therefore, appropriate and applied measures and programs should be adopted in areas with the highest incidence of LC, for primary and secondary prevention of disease with the aim to reduce the incidence and mortality of LC [30, 31]. Accordingly, it is suggested conducting case-control and cohort studies in countries and regions with the highest incidence of LC with the aim to diagnose the most important risk factors of this cancer and the risk attributable to each of these factors in order to perform appropriate regional planning to reduce the incidence of disease. Furthermore, patients need to be diagnosed and treated at early stages of disease by conducting appropriate screening programs in order to reduce the rate of disease mortality in these areas in the long term.

LIMITATIONS OF THE STUDY

The quality of the collected cancer data in the GLOBOCAN project is not similar in all countries, especially those with medium or low HDI, so that the estimates of some countries are based on the recorded cases of cancer in limited areas or based on estimates from neighboring countries [24]. Please, see the Supplementary data (Tabs. SIII, SIV). for more information.
Tab. SIII.

Cancer incidence and mortality data: sources and methods by country.

IncidenceMethod
1National (or local with coverage greater than 50%) rates projected to 2018
2aMost recent rates from a single registry applied to 2018 population
2bWeighted/simple average of the most recent local rates applied to 2018 population
3aEstimated from national mortality estimates by modelling, using mortality: incidence ratios derived from country-specific cancer registry data
3bEstimated from national mortality estimates by modelling, using mortality: incidence ratios derived from cancer registry data in neighbouring countries
4"All sites" estimates from neighbouring countries partitioned using frequency data
9No data: the rates are those of neighbouring countries or registries in the same area
Mortality
1National rates projected to 2018
2aMost recent rates from one source applied to 2018 population
2bWeighted/simple average of the most recent local rates applied to 2018 population
3Estimated from national incidence estimates by modelling, using incidence: mortality ratios derived from cancer registry data in neighbouring countries
9No data: the rates are those of neighbouring countries in the same area
Tab. SIV.

The method used in each country to calculate the incidence and attenuation of cancer in Global Cancer Observatory in 2018.

CountryIncidenceMortality
SourceMethodSourceMethod
Eastern Africa
BurundiNo data9No data3
ComorosNo data9No data3
DjiboutiNo data9No data3
EritreaNo data9No data3
EthiopiaLocal2aNo data3
France, ReunionNational2aNational (WHO)1
KenyaLocal2bNo data3
MadagascarNo data9No data3
MalawiLocal2aNo data3
MauritiusNational1National (WHO)1
MozambiqueLocal2bNo data3
RwandaLocal4No data3
SomaliaNo data9No data3
South SudanNo data9No data3
TanzaniaLocal2bNo data3
UgandaLocal2bNo data3
ZambiaLocal2aNo data3
ZimbabweLocal2bNo data3
Middle Africa
AngolaNo data9No data3
CameroonLocal2aNo data3
Central African RepublicNo data9No data3
ChadNo data9No data3
CongoLocal2aNo data3
Congo, Democratic Republic ofNo data9No data3
Equatorial GuineaNo data9No data3
GabonNo data4No data3
Northern Africa
AlgeriaLocal2bNo data3
EgyptLocal2bNational (WHO)3
LibyaLocal2aNo data3
MoroccoLocal2bNational (WHO)3
SudanLocal2bNo data3
TunisiaLocal2bNational (WHO)3
Southern Africa
BotswanaNational1No data3
LesothoNo data9No data3
NamibiaNational2aNo data3
South African RepublicNo data3bNational (WHO)1
SwazilandNational2aNo data3
Western Africa
Cape VerdeNo data3bNational (WHO)2a
BeninLocal2aNo data3
Burkina FasoLocal9No data3
Cote d'IvoireLocal2aNo data3
GhanaLocal4No data3
GuineaLocal2aNo data3
Guinea-BissauNo data9No data3
LiberiaNo data9No data3
MaliLocal2aNo data3
MauritaniaNo data9No data3
NigerLocal2aNo data3
NigeriaLocal2bNo data3
Sao Tome and PrincipeNo data3bNational (WHO)2a
SenegalNo data9No data3
Sierra LeoneNo data4No data3
The GambiaNational1No data3
TogoLocal4No data3
Caribbean
BahamasNo data3bNational (WHO)1
BarbadosNo data3bNational (WHO)1
CubaLocal3bNational (WHO)1
Dominican RepublicNo data3bNational (WHO)1
France, GuadeloupeNational1National (WHO)1
France, MartiniqueNational1National (WUO)1
HaitiNo data3bNational (WHO)2a
JamaicaLocal3bNational (WHO)1
Puerto RicoNational1National (WHO)1
Saint LuciaNo data3bNational (WHO)1
Trinidad and TobagoNo data3bNational (WHO)1
Central America
BelizeNo data3bNational (WHO)2a
Costa RicaNational1National (WHO)1
El SalvadorNo data3bNational (WHO)1
GuatemalaNo data3bNational (WHO)1
HondurasLocal2aNational (WHO)2a
MexicoNo data3bNational (WHO)1
NicaraguaNo data3bNational (WHO)1
PanamaNo data3bNational (WHO)1
South America
ArgentinaLocal3aNational (WHO)1
BoliviaLocal3bNational (WHO)2a
BrazilLocal3aNational (WHO)1
ChileLocal3aNational (WHO)1
ColombiaLocal3aNational (WHO)1
EcuadorLocal3aNational (WHO)1
French GuianaNational1National (WHO)1
GuyanaNo data3bNational (WHO)1
ParaguayNo data3bNational (WHO)1
PeruLocal3aNational (WHO)1
SurinameNo data3bNational (WHO)1
UruguayNational1National (WHO)1
VenezuelaNo data3bNational (WHO)1
Northern America
CanadaLocal1National (WHO)1
United States of AmericaNational1National (WHO)1
Eastern Asia
ChinaLocal2bLocal2b
JapanLocal3aNational (WHO)1
Korea, Democratic Republic ofNo data9No data9
Korea, Republic ofNational1National (WHO)1
MongoliaNational2aNational2a
South-Eastern Asia
Brunei DarussalamNational2aNational (WHO)2a
CambodiaNo data9No data3
IndonesiaNational4No data3
Lao People's Democratic RepublicNo data9No data3
MalaysiaLocal2bNational (WHO)3
MyanmarNo data9No data3
PhilippinesLocal2bNational (WHO)3
SingaporeNational1National (WHO)2a
ThailandLocal2bNational (WHO)3
Timor LesteNo data9No data3
Viet NamLocal2bNational (Survey)3
South Central Asia
AfghanistanNo data9No data3
BangladeshNo data9No data3
BhutanNational (pathology-based register)2aNo data3
IndiaLocal2bRegional3
Iran, Islamic Republic ofLocal2bNational (WHO)2a
KazakhstanNational2aNational (WHO)2a
KyrgyzstanLocal3bNational (WHO)1
MaldivesNo data9No data9
NepalLocal4No data3
PakistanLocal2bNo data3
Sri LankaNational1National (WHO)3
TajikistanNo data3bNational (WHO) (ICD-9 limitedsites).2a
TurkmenistanNo data3bNational (WHO) (ICD-10 limitedsites).1
UzbekistanNational2aNational (WHO)1
Western Asia
AzerbaijanNational2aNational (WHO)3
ArmeniaNo data3bNational (WHO)1
BahrainNational1National (WHO)3
GeorgiaNo data3bNational (WHO)1
IraqNational2aNo data3
IsraelNational1National (WHO)1
JordanNational1National (WHO)3
KuwaitNational1National (WHO)3
LebanonNational2aNo data3
OmanNational1National (WHO)3
PalestineNo data9National (WHO)3
QatarNational2aNational (WHO)3
Saudi ArabiaNational1National (WHO)3
Syrian Arab RepublicNo data9No data3
TurkeyLocal2bNational (WHO)2a
United Arab EmiratesNational2aNo data3
YemenLocal2bNo data3
Eastern Europe
BelarusNational1National (WHO)1
BulgariaNational1National (WHO, ICD-10 limited sites).2a
Czech RepublicNational1National (WHO)1
HungaryNo data3bNational (WHO)1
MoldovaNo data3bNational (WHO)1
PolandLocal3aNational (WHO)1
RomaniaLocal3bNational (WHO)1
Russian FederationNational1National (WHO, ICD-10 limited sites)1
SlovakiaNational2aNational (WHO)1
UkraineNational1National (WHO, ICD-10 limited sites)1
Northern Europe
DenmarkNational1National (WHO)1
EstoniaNational1National (WHO)1
FinlandNational1National (WHO)1
IcelandNational1National (WHO)1
IrelandNational1National (WHO)1
LatviaNational1National (WHO)1
LithuaniaNational1National (WHO)1
NorwayNational1National (WHO)1
SwedenNational1National (WHO)1
United KingdomNational1National (WHO)1
Southern Europe
AlbaniaNo data3bNational (WHO)1
Bosnia HerzegovinaLocal3aNational (WHO)2a
CroatiaNational1National (WHO)1
CyprusNational1National (WHO)1
FYR MacedoniaNo data3bNational (WHO)1
GreeceNo data3bNational (WHO)1
ItalyLocal3aNational (WHO)1
MaltaNational1National (WHO)1
MontenegroNo data3bNational (WHO)1
PortugalLocal3aNational (WHO)1
SerbiaLocal3bNational (WHO)1
SloveniaNational1National (WHO)1
SpainLocal3aNational (WHO)1
Western Europe
AustriaNational1National (WHO)1
BelgiumNational1National (WHO)1
FranceLocal3aNational (WHO)1
GermanyLocal1National (WHO)1
LuxembourgNational (pathology-based register)3bNational (WHO)1
The NetherlandsNational1National (WHO)1
SwitzerlandLocal3aNational (WHO)1
Australia/New Zealand
AustraliaNational1National (WHO)1
New ZealandNational1National (WHO)1
Melanesia
FijiNo data3bNo data3
France, New CaledoniaNational2aNational (WHO)2a
Papua New GuineaLocal9National2a
Solomon IslandsNo data9No data3
VanuatuNational2aNo data3
Micronesia
GuamNo data9National2a
Polynesia
French PolynesiaNational2aNational2a
SamoaNo data9No data9

Conclusions

LC is one of the most important cancers in the world in terms of incidence and mortality. It is important to prevent exposure to known risk factors for LC by increasing the level of knowledge and attitudes of the community. In addition, it is necessary that health policy makers have appropriate planning for providing suitable diagnostic and medical service to prevent of morbidity and mortality of the population with early diagnosis and treatment of patients. Distribution of new LC cases worldwide in 2018. Distribution of LC mortality worldwide in 2018. Age standardized incidence rates of LC by sex in the worldwide in 2018. Age standardized incidence and mortality rates of LC in the worldwide in 2018. Correlation of ASIR and ASMR of LC. The age-standardized incidence rate of liver cancer in different regions of the world in 2018. The age-standardized mortality rate of liver cancer in different regions of the world in 2018. Predicting the incidence and mortality cases of LC from 2018 to 2040.
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Cristina Bosetti; Ibrahim R Bou-Orm; Hermann Brenner; Jerry D Brewer; Andrey Nikolaevich Briko; Nikolay Ivanovich Briko; Maria Teresa Bustamante-Teixeira; Zahid A Butt; Giulia Carreras; Juan J Carrero; Félix Carvalho; Clara Castro; Franz Castro; Ferrán Catalá-López; Ester Cerin; Yazan Chaiah; Wagaye Fentahun Chanie; Vijay Kumar Chattu; Pankaj Chaturvedi; Neelima Singh Chauhan; Mohammad Chehrazi; Peggy Pei-Chia Chiang; Tesfaye Yitna Chichiabellu; Onyema Greg Chido-Amajuoyi; Odgerel Chimed-Ochir; Jee-Young J Choi; Devasahayam J Christopher; Dinh-Toi Chu; Maria-Magdalena Constantin; Vera M Costa; Emanuele Crocetti; Christopher Stephen Crowe; Maria Paula Curado; Saad M A Dahlawi; Giovanni Damiani; Amira Hamed Darwish; Ahmad Daryani; José das Neves; Feleke Mekonnen Demeke; Asmamaw Bizuneh Demis; Birhanu Wondimeneh Demissie; Gebre Teklemariam Demoz; Edgar Denova-Gutiérrez; Afshin Derakhshani; Kalkidan Solomon Deribe; Rupak Desai; Beruk Berhanu Desalegn; Melaku Desta; Subhojit Dey; Samath Dhamminda Dharmaratne; Meghnath Dhimal; Daniel Diaz; Mesfin Tadese Tadese Dinberu; Shirin Djalalinia; David Teye Doku; Thomas M Drake; Manisha Dubey; Eleonora Dubljanin; Eyasu Ejeta Duken; Hedyeh Ebrahimi; Andem Effiong; Aziz Eftekhari; Iman El Sayed; Maysaa El Sayed Zaki; Shaimaa I El-Jaafary; Ziad El-Khatib; Demelash Abewa Elemineh; Hajer Elkout; Richard G Ellenbogen; Aisha Elsharkawy; Mohammad Hassan Emamian; Daniel Adane Endalew; Aman Yesuf Endries; Babak Eshrati; Ibtihal Fadhil; Vahid Fallah Omrani; Mahbobeh Faramarzi; Mahdieh Abbasalizad Farhangi; Andrea Farioli; Farshad Farzadfar; Netsanet Fentahun; Eduarda Fernandes; Garumma Tolu Feyissa; Irina Filip; Florian Fischer; James L Fisher; Lisa M Force; Masoud Foroutan; Marisa Freitas; Takeshi Fukumoto; Neal D Futran; Silvano Gallus; Fortune Gbetoho Gankpe; Reta Tsegaye Gayesa; Tsegaye Tewelde Gebrehiwot; Gebreamlak Gebremedhn Gebremeskel; Getnet Azeze Gedefaw; Belayneh K Gelaw; Birhanu Geta; Sefonias Getachew; Kebede Embaye Gezae; Mansour Ghafourifard; Alireza Ghajar; Ahmad Ghashghaee; Asadollah Gholamian; Paramjit Singh Gill; Themba T G Ginindza; Alem Girmay; Muluken Gizaw; Ricardo Santiago Gomez; Sameer Vali Gopalani; Giuseppe Gorini; Bárbara Niegia Garcia Goulart; Ayman Grada; Maximiliano Ribeiro Guerra; Andre Luiz Sena Guimaraes; Prakash C Gupta; Rahul Gupta; Kishor Hadkhale; Arvin Haj-Mirzaian; Arya Haj-Mirzaian; Randah R Hamadeh; Samer Hamidi; Lolemo Kelbiso Hanfore; Josep Maria Haro; Milad Hasankhani; Amir Hasanzadeh; Hamid Yimam Hassen; Roderick J Hay; Simon I Hay; Andualem Henok; Nathaniel J Henry; Claudiu Herteliu; Hagos D Hidru; Chi Linh Hoang; Michael K Hole; Praveen Hoogar; Nobuyuki Horita; H Dean Hosgood; Mostafa Hosseini; Mehdi Hosseinzadeh; Mihaela Hostiuc; Sorin Hostiuc; Mowafa Househ; Mohammedaman Mama Hussen; Bogdan Ileanu; Milena D Ilic; Kaire Innos; Seyed Sina Naghibi Irvani; Kufre Robert Iseh; Sheikh Mohammed Shariful Islam; Farhad Islami; Nader Jafari Balalami; Morteza Jafarinia; Leila Jahangiry; Mohammad Ali Jahani; Nader Jahanmehr; Mihajlo Jakovljevic; Spencer L James; Mehdi Javanbakht; Sudha Jayaraman; Sun Ha Jee; Ensiyeh Jenabi; Ravi Prakash Jha; Jost B Jonas; Jitendra Jonnagaddala; Tamas Joo; Suresh Banayya Jungari; Mikk Jürisson; Ali Kabir; Farin Kamangar; André Karch; Narges Karimi; Ansar Karimian; Amir Kasaeian; Gebremicheal Gebreslassie Kasahun; Belete Kassa; Tesfaye Dessale Kassa; Mesfin Wudu Kassaw; Anil Kaul; Peter Njenga Keiyoro; Abraham Getachew Kelbore; Amene Abebe Kerbo; Yousef Saleh Khader; Maryam Khalilarjmandi; Ejaz Ahmad Khan; Gulfaraz Khan; Young-Ho Khang; Khaled Khatab; Amir Khater; Maryam Khayamzadeh; Maryam Khazaee-Pool; Salman Khazaei; Abdullah T Khoja; Mohammad Hossein Khosravi; Jagdish Khubchandani; Neda Kianipour; Daniel Kim; Yun Jin Kim; Adnan Kisa; Sezer Kisa; Katarzyna Kissimova-Skarbek; Hamidreza Komaki; Ai Koyanagi; Kristopher J Krohn; Burcu Kucuk Bicer; Nuworza Kugbey; Vivek Kumar; Desmond Kuupiel; Carlo La Vecchia; Deepesh P Lad; Eyasu Alem Lake; Ayenew Molla Lakew; Dharmesh Kumar Lal; Faris Hasan Lami; Qing Lan; Savita Lasrado; Paolo Lauriola; Jeffrey V Lazarus; James Leigh; Cheru Tesema Leshargie; Yu Liao; Miteku Andualem Limenih; Stefan Listl; Alan D Lopez; Platon D Lopukhov; Raimundas Lunevicius; Mohammed Madadin; Sameh Magdeldin; Hassan Magdy Abd El Razek; Azeem Majeed; Afshin Maleki; Reza Malekzadeh; Ali Manafi; Navid Manafi; Wondimu Ayele Manamo; Morteza Mansourian; Mohammad Ali Mansournia; Lorenzo Giovanni Mantovani; Saman Maroufizadeh; Santi Martini S Martini; Tivani Phosa Mashamba-Thompson; Benjamin Ballard Massenburg; Motswadi Titus Maswabi; Manu Raj Mathur; Colm McAlinden; Martin McKee; Hailemariam Abiy Alemu Meheretu; Ravi Mehrotra; Varshil Mehta; Toni Meier; Yohannes A Melaku; Gebrekiros Gebremichael Meles; Hagazi Gebre Meles; Addisu Melese; Mulugeta Melku; Peter T N Memiah; Walter Mendoza; Ritesh G Menezes; Shahin Merat; Tuomo J Meretoja; Tomislav Mestrovic; Bartosz Miazgowski; Tomasz Miazgowski; Kebadnew Mulatu M Mihretie; Ted R Miller; Edward J Mills; Seyed Mostafa Mir; Hamed Mirzaei; Hamid Reza Mirzaei; Rashmi Mishra; Babak Moazen; Dara K Mohammad; Karzan Abdulmuhsin Mohammad; Yousef Mohammad; Aso Mohammad Darwesh; Abolfazl Mohammadbeigi; Hiwa Mohammadi; Moslem Mohammadi; Mahdi Mohammadian; Abdollah Mohammadian-Hafshejani; Milad Mohammadoo-Khorasani; Reza Mohammadpourhodki; Ammas Siraj Mohammed; Jemal Abdu Mohammed; Shafiu Mohammed; Farnam Mohebi; Ali H Mokdad; Lorenzo Monasta; Yoshan Moodley; Mahmood Moosazadeh; Maryam Moossavi; Ghobad Moradi; Mohammad Moradi-Joo; Maziar Moradi-Lakeh; Farhad Moradpour; Lidia Morawska; Joana Morgado-da-Costa; Naho Morisaki; Shane Douglas Morrison; Abbas Mosapour; Seyyed Meysam Mousavi; Achenef Asmamaw Muche; Oumer Sada S Muhammed; Jonah Musa; Ashraf F Nabhan; Mehdi Naderi; Ahamarshan Jayaraman Nagarajan; Gabriele Nagel; Azin Nahvijou; Gurudatta Naik; Farid Najafi; Luigi Naldi; Hae Sung Nam; Naser Nasiri; Javad Nazari; Ionut Negoi; Subas Neupane; Polly A Newcomb; Haruna Asura Nggada; Josephine W Ngunjiri; Cuong Tat Nguyen; Leila Nikniaz; Dina Nur Anggraini Ningrum; Yirga Legesse Nirayo; Molly R Nixon; Chukwudi A Nnaji; Marzieh Nojomi; Shirin Nosratnejad; Malihe Nourollahpour Shiadeh; Mohammed Suleiman Obsa; Richard Ofori-Asenso; Felix Akpojene Ogbo; In-Hwan Oh; Andrew T Olagunju; Tinuke O Olagunju; Mojisola Morenike Oluwasanu; Abidemi E Omonisi; Obinna E Onwujekwe; Anu Mary Oommen; Eyal Oren; Doris D V Ortega-Altamirano; Erika Ota; Stanislav S Otstavnov; Mayowa Ojo Owolabi; Mahesh P A; Jagadish Rao Padubidri; Smita Pakhale; Amir H Pakpour; Adrian Pana; Eun-Kee Park; Hadi Parsian; Tahereh Pashaei; Shanti Patel; Snehal T Patil; Alyssa Pennini; David M Pereira; Cristiano Piccinelli; Julian David Pillay; Majid Pirestani; Farhad Pishgar; Maarten J Postma; Hadi Pourjafar; Farshad Pourmalek; Akram Pourshams; Swayam Prakash; Narayan Prasad; Mostafa Qorbani; Mohammad Rabiee; Navid Rabiee; Amir Radfar; Alireza Rafiei; Fakher Rahim; Mahdi Rahimi; Muhammad Aziz Rahman; Fatemeh Rajati; Saleem M Rana; Samira Raoofi; Goura Kishor Rath; David Laith Rawaf; Salman Rawaf; Robert C Reiner; Andre M N Renzaho; Nima Rezaei; Aziz Rezapour; Ana Isabel Ribeiro; Daniela Ribeiro; Luca Ronfani; Elias Merdassa Roro; Gholamreza Roshandel; Ali Rostami; Ragy Safwat Saad; Parisa Sabbagh; Siamak Sabour; Basema Saddik; Saeid Safiri; Amirhossein Sahebkar; Mohammad Reza Salahshoor; Farkhonde Salehi; Hosni Salem; Marwa Rashad Salem; Hamideh Salimzadeh; Joshua A Salomon; Abdallah M Samy; Juan Sanabria; Milena M Santric Milicevic; Benn Sartorius; Arash Sarveazad; Brijesh Sathian; Maheswar Satpathy; Miloje Savic; Monika Sawhney; Mehdi Sayyah; Ione J C Schneider; Ben Schöttker; Mario Sekerija; Sadaf G Sepanlou; Masood Sepehrimanesh; Seyedmojtaba Seyedmousavi; Faramarz Shaahmadi; Hosein Shabaninejad; Mohammad Shahbaz; Masood Ali Shaikh; Amir Shamshirian; Morteza Shamsizadeh; Heidar Sharafi; Zeinab Sharafi; Mehdi Sharif; Ali Sharifi; Hamid Sharifi; Rajesh Sharma; Aziz Sheikh; Reza Shirkoohi; Sharvari Rahul Shukla; Si Si; Soraya Siabani; Diego Augusto Santos Silva; Dayane Gabriele Alves Silveira; Ambrish Singh; Jasvinder A Singh; Solomon Sisay; Freddy Sitas; Eugène Sobngwi; Moslem Soofi; Joan B Soriano; Vasiliki Stathopoulou; Mu'awiyyah Babale Sufiyan; Rafael Tabarés-Seisdedos; Takahiro Tabuchi; Ken Takahashi; Omid Reza Tamtaji; Mohammed Rasoul Tarawneh; Segen Gebremeskel Tassew; Parvaneh Taymoori; Arash Tehrani-Banihashemi; Mohamad-Hani Temsah; Omar Temsah; Berhe Etsay Tesfay; Fisaha Haile Tesfay; Manaye Yihune Teshale; Gizachew Assefa Tessema; Subash Thapa; Kenean Getaneh Tlaye; Roman Topor-Madry; Marcos Roberto Tovani-Palone; Eugenio Traini; Bach Xuan Tran; Khanh Bao Tran; Afewerki Gebremeskel Tsadik; Irfan Ullah; Olalekan A Uthman; Marco Vacante; Maryam Vaezi; Patricia Varona Pérez; Yousef Veisani; Simone Vidale; Francesco S Violante; Vasily Vlassov; Stein Emil Vollset; Theo Vos; Kia Vosoughi; Giang Thu Vu; Isidora S Vujcic; Henry Wabinga; Tesfahun Mulatu Wachamo; Fasil Shiferaw Wagnew; Yasir Waheed; Fitsum Weldegebreal; Girmay Teklay Weldesamuel; Tissa Wijeratne; Dawit Zewdu Wondafrash; Tewodros Eshete Wonde; Adam Belay Wondmieneh; Hailemariam Mekonnen Workie; Rajaram Yadav; Abbas Yadegar; Ali Yadollahpour; Mehdi Yaseri; Vahid Yazdi-Feyzabadi; Alex Yeshaneh; Mohammed Ahmed Yimam; Ebrahim M Yimer; Engida Yisma; Naohiro Yonemoto; Mustafa Z Younis; Bahman Yousefi; Mahmoud Yousefifard; Chuanhua Yu; Erfan Zabeh; Vesna Zadnik; Telma Zahirian Moghadam; Zoubida Zaidi; Mohammad Zamani; Hamed Zandian; Alireza Zangeneh; Leila Zaki; Kazem Zendehdel; Zerihun Menlkalew Zenebe; Taye Abuhay Zewale; Arash Ziapour; Sanjay Zodpey; Christopher J L Murray
Journal:  JAMA Oncol       Date:  2019-12-01       Impact factor: 31.777

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  5 in total

1.  The potential, analysis and prospect of ctDNA sequencing in hepatocellular carcinoma.

Authors:  Yubo Ding; Jingwei Yao; Meiling Wen; Xiong Liu; Jialu Huang; Minghui Zhang; Yu Zhang; Yufan Lv; Zhuoyi Xie; JianHong Zuo
Journal:  PeerJ       Date:  2022-05-17       Impact factor: 3.061

2.  Differential Imaging of Liver Tumors before and after Microwave Ablation with Electrode Displacement Elastography.

Authors:  Robert M Pohlman; James L Hinshaw; Timothy J Ziemlewicz; Meghan G Lubner; Shane A Wells; Fred T Lee; Marci L Alexander; Kelly L Wergin; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2021-05-16       Impact factor: 3.694

3.  Prediction of Prognosis and Molecular Mechanism of Ferroptosis in Hepatocellular Carcinoma Based on Bioinformatics Methods.

Authors:  Yuanpeng Xiong; Yonghao Ouyang; Kang Fang; Gen Sun; Shuju Tu; Wanpeng Xin; Yongyang Wei; Weidong Xiao
Journal:  Comput Math Methods Med       Date:  2022-06-21       Impact factor: 2.809

4.  Callispheres® drug-eluting beads transarterial chemoembolization might be an efficient and safety down-staging therapy in unresectable liver cancer patients.

Authors:  Ning Peng; Linfeng Mao; Yiwen Tao; Kaiyin Xiao; Guandou Yuan; Songqing He
Journal:  World J Surg Oncol       Date:  2022-08-09       Impact factor: 3.253

5.  Serum Folate deficiency in HCV related Hepatocellular Carcinoma.

Authors:  Giulia Malaguarnera; Vito Emanuele Catania; Gaetano Bertino; Filippo Drago; Roberto Madeddu; Claudia Bonfiglio; Michele Malaguarnera
Journal:  Sci Rep       Date:  2022-03-23       Impact factor: 4.379

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