Assignment 1

Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

Jacques Ferlay 1 , Isabelle Soerjomataram

1 , Rajesh Dikshit

2 , Sultan Eser

3 , Colin Mathers

4 , Marise Rebelo

5 ,

Donald Maxwell Parkin 6 , David Forman

1 and Freddie Bray

1

1 Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France

2 Tata Memorial Hospital, Mumbai, India

3 Izmir Cancer Registry, Izmir Hub, Izmir & Hacettepe University Institute of Public Health, Ankara, Turkey

4 Department of Measurement and Health Information Systems, WHO, Geneva, Switzerland

5 Department of Surveillance and Cancer Information, Brazilian National Cancer Institute, Ministry of Health, Rio de Janeiro, Brazil

6 Clinical Trial Service Unit & Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom

Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now

available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods

used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site

and in 20 large “areas” of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most

commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common

causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000

deaths).

According to WHO estimates for 2011, cancer now causes more deaths than all coronary heart disease or all stroke.1 The continuing global demographic and epidemiologic transitions signal an ever-increasing cancer burden over the next decades, particularly in low and middle income countries (LMIC), with over 20 million new cancer cases expected annually as early as 2025.2 The GLOBOCAN estimates for 20123 aim to provide the evidence and impetus for developing resource-contingent strategies to reduce the cancer burden worldwide.

We review here the fifth version of GLOBOCAN, the sources and methods used in compiling cancer incidence and mortality estimates for 2012 in 184 countries worldwide, and briefly describe the key results by cancer site. The basic units for estimation are countries, although we present the results globally, by level of development and for aggregated regions, as defined by the United Nations.4 Such estimates have been prepared for 27 major cancers and for all cancers combined and by sex. While the methods of estimation have been refined over time, they still rely upon the best available data

on cancer incidence and mortality at the national level in assembling regional and global profiles. Facilities for the tab- ulation and graphical visualisation of the full dataset of 184 countries and 30 world regions by sex can be accessed via the GLOBOCAN homepage (http://globocan.iarc.fr).

To document the methods used in compiling the esti- mates and guide users as to their validity, we introduce an alphanumeric scoring system that provides information on the availability and quality of the incidence and mortality sources at the country level.

Data

Incidence data derive from population-based cancer registries (PBCR). Although PBCR may cover national populations, more often they cover smaller, subnational areas, and, partic- ularly in countries undergoing development, only selected urban areas. In 2006, about 21% of the world population was covered by PBCR, with sparse registration in Asia (8% of the total population) and in Africa (11%).5 In terms of what is considered data of high quality (for example, those included in the latest volume (X) of the IARC Cancer Incidence in Five Continents (CI5) series6), these percentages are even lower: only 14% of the world population is covered by PBCR that match the CI5 inclusion criteria, with the figures 5% and 2% in Asia and Africa, respectively. While cancer registries in lower resource settings may find it difficult to match the strict criteria of data quality set for inclusion in CI5, the information generated by such PBCR remains of critical importance to cancer control as a unique and relatively unbiased source of information on the profile of cancer. Population-based cancer registries can produce survival

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Key words: Incidence, mortality, cancer, global estimates,

GLOBOCAN

Additional Supporting Information may be found in the online

version of this article.

DOI: 10.1002/ijc.29210

History: Received 11 June 2014; Accepted 12 Aug 2014; Online 13

Sep 2014

Correspondence to: Jacques Ferlay, Section of Cancer Information

International Agency for Research on Cancer, 150 Cours Albert

Thomas, 69372 Lyon Cedex 08, France, Tel.: 133-(0)4-72-73-84-90,

Fax: +33-(0)4-72-73-86-96, E-mail: [email protected]

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International Journal of Cancer

IJC

statistics by following up the vital status of cancer patients. In the absence of information on national mortality, it can be esti- mated using incidence and survival probabilities7 and vice versa.

Mortality statistics are collected and made available by the WHO.8 Their great advantage is national coverage and long- term availability in higher income settings, although not all datasets are of the same quality. For some countries, coverage of the population is incomplete, so that the mortality rates produced are implausibly low, and in others, the quality of cause of death information is poor. By 2005, around one- third of the world population was covered by mortality statis- tics.9 While almost all the European and American countries have comprehensive death registration systems, most African and Asian countries (including the populous countries of Nigeria, India and Indonesia) do not. The mortality data used to estimate the burden of cancer in China was obtained from a sample survey based on the “disease surveillance points” (DSP) project for the period 2004 to 2010 covering around 6% of the total Chinese population.10 These statistics are considered nationally representative given the samples include both urban and rural areas. As the figures were avail- able for a limited number of cancers, they were supplemented by cancer registry mortality files for certain sites.

National population estimates for 2012 were extracted from the United Nations website.4 The geographical defini- tion of the regions follows the rules as defined by the UN, except for Cyprus, which is included in Southern Europe instead of Western Asia (Fig. 1).

An alphanumeric scoring system has been introduced with the release of GLOBOCAN 2012 that independently classifies the source availability and estimation methods for incidence and mortality by country. These scores are pro- vided together with the results online, and the classification of sources and methods is described below.

Sources

Incidence data. Depending on the availability and quality of the information, the countries have been classified as follows (Fig. 2a):

A. High quality* national data or high quality regional (cov- erage greater than 50% of the population): 37 countries

B. High quality* regional data (coverage between 10% and 50%): 11 countries.

C. High quality* regional data (coverage lower than 10%): 19 countries.

D. National data (PBCR): 24 countries.

E. Regional data (PBCR): 18 countries.

F. Frequency data (hospital-based or pathological –based series): 13 countries.

G. No data: 62 countries.

*Data included in Cancer Incidence in Five Continents (CI5) volume IX11 and/or X.6

Mortality data. Similar to incidence data, the following schema has been defined (Fig. 2b):

1. High quality complete vital registration**: 23 countries.

2. Medium quality complete vital registration**: 48 countries.

3. Low quality complete vital registration**: 24 countries.

4. Incomplete or sample vital registration: 2 countries.

5. Other sources (cancer registries, verbal autopsy surveys etc.): 7 countries.

6. No data: 80 countries.

**The criteria defined in points 1–3 are taken from Math- ers et al.9

Methods of estimation

Cancer incidence and mortality rates for 2012 by sex and for 10 age groups (0–14, 15–39, 40–44, 45–49,. . ., 75 and over) are estimated for the 184 countries or territories of the world having a total population greater than 200,000.4 Results are presented for the following cancer sites or cancer types as defined by the 10th edition of the International Classification of Diseases (ICD-10):12 lip, oral cavity (ICD-10 C00-08), nasopharynx (C11), other pharynx (C09-10, C12-14), oeso- phagus (C15), stomach (C16), colon and rectum (including anus C18-21), liver (C22), gallbladder (C23-24), pancreas (C25), larynx (C32), lung (including trachea, C33-34), mela- noma of skin (C43), Kaposi sarcoma (C46), female breast (C50), cervix uteri (C53), corpus uteri (C54), ovary (C56), prostate (C61), testis (C62), kidney (including renal pelvis and ureter, C64-66), bladder (C67), brain and central nervous system (C70-72), thyroid (C73), Hodgkin lymphoma (C81), non-Hodgkin lymphoma (C82-85, C96), multiple myeloma (C88 1 C90), leukaemia (C91-95) and all cancers combined, excluding non-melanoma skin cancer (C00-97, except C44). This last category was calculated by summing the estimated counts for each individual cancer site, and the residual

What’s new?

In this report, we present the most recent cancer incidence and mortality statistics (for 2012) for the major cancers in 20

regions of the world. Details of the data sources and methods used in GLOBOCAN to compile the estimates at the national

level are provided, and we introduce a novel alphanumeric scoring system to give a broad indication of the robustness of the

estimation within each country. A global snapshot of the patterns by cancer site brings focus to the need for regional prioriti-

sation of cancer control efforts, as well as the ongoing efforts to improve the limited surveillance systems in many low and

middle income countries.

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category “other and unspecified cancers”. Further details of the criteria for inclusion are provided in Appendix A.

The methods of incidence and mortality estimation described below are undertaken at the national level and hence their validity depends upon the representativeness and quality of the source information from the country itself. The methods are largely those developed previously,13 although one improvement in the 2012 estimation of both incidence and mortality is the utilisation of the Human Development Index (HDI)14 to predict survival in countries lacking the requisite data, as described in detail in Appendix B. The methods are summarized below, ranked in descending order of the probable accuracy of the derived estimates.

Estimates of cancer incidence by country.

1. When incidence data were available historically with suffi- cient numbers of cases, recorded incidence rates were pro- jected to 2012 using models and the 2012 national population applied to the fitted rates (38 countries)

2. When recent incidence data were available from a national registry, the 2012 national population was applied to the most recently recorded incidence rates (20 countries)

3. When registries were regional and where national mortality data were available, national incidence was estimated from national mortality using statistical models, with the fitted mortality to incidence (M:I) ratios derived from recorded data from one or more cancer registries within the country (13 countries)

4. For Europe, when registries were regional rather than national, and where national mortality data were available, method (3) was used but with the fitted M:I ratios derived

from recorded data in cancer registries in neighbouring countries (nine European countries)15

5. When national or regional registries were not available, but where national mortality data were available, national inci- dence was estimated from national mortality estimates and modelled survival (32 countries, see Appendix B for method)

6. When national or regional registries were available, but where national mortality data was not available, national incidence was estimated as the weighted average of the recorded incidence rates obtained from multiple cancer registries within the country (16 countries)

7. When incidence data were available from a single registry, but national mortality data were not available, national incidence was estimated from the recorded incidence rates obtained from one cancer registry within the country (11 countries)

8. When neither national or regional registries, nor national mortality data were available, and the within-country source information was considered to lack the necessary level of accuracy, a set of age- and sex-specific national incidence rates for all cancers combined were obtained averaging overall rates from selected neighbouring coun- tries. These rates were then partitioned to obtain the national incidence for specific sites using available cancer- specific relative frequency data (by age and sex, 12 countries).

9. When neither national or regional registries, nor national mortality data were available, and the within-country source information was either unavailable or useable, aver- age incidence rates from selected neighbouring countries in the same region were used to derive national incidence within the country (33 countries).

Figure 1. Map showing the 20 world regions.

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Kaposi sarcoma (KS) incidence estimation in Sub-Saharan

Africa. Estimates of the incidence of KS were derived using one of the methods described above, with the exception of Sub-Saharan Africa, where in certain regions the rates are correlated with the HIV epidemic and the prevalence of HIV/AIDS:

� We first estimated the number of endemic (pre-AIDS) KS cases using the percentage frequency of the disease, by sex and age, based on data from Uganda, Kampala (1961– 1980) and Nigeria, Ibadan (1971–1990). These percentages

were applied to countries in Eastern and Western Africa respectively. For countries in Middle and Southern Africa, we applied a simple average of these frequencies.

� We calculated the number of epidemic (AIDS-related) KS cases, both sexes, for the year 2011, using estimates of AIDS deaths by country in 2011 (source UNAIDS, http:// www.unaids.org/), and an estimate of the ratio of deaths from AIDS to incident cases of KS. This ratio was based on observed KS rates in several countries (from the senti- nel registries listed below, minus the endemic KS), and was

Figure 2. (a) Map showing the availability of incidence data. (b) Map showing the availability of mortality data.

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specific by region (varying from 0.7% in Western Africa to 6% in Eastern Africa). This total number of AIDS-related KS was partitioned by sex and age using sex- and age- specific proportions in sentinel registries of Malawi, Blan- tyre, Uganda, Kampala and Zimbabwe, Harare (Eastern Africa), Congo, Brazzaville (Middle Africa), Botswana and Namibia (Southern Africa), Mali, Bamako and Niger, Nia- mey (Western Africa).

Estimates of cancer mortality by country. National statistics from vital registration sources are known to be of variable quality and some corrections were made before they were used for estimation purposes:

� Where necessary, the overall number of deaths was cor- rected for under-reporting or incompleteness using the percentages provided by the WHO.8

� The category “ill-defined cause of deaths” (ICD-9 codes 780-799 and ICD-10 codes R00-R99) was partitioned, by sex and age into “cancer deaths” and “other” specific causes of death. The corrected “cancer deaths” category was then partitioned into cancer-specific categories using proportions from the uncorrected data.

� Given the large variations in the accuracy of death certifi- cates related to cancer of the uterus, with many deaths recorded as “uterus cancer, not otherwise specified” (ICD- 10 C55), these proportions were relocated to specified sites. By default, the number of cancer deaths coded as “uterus unspecified” was reallocated to either cervix (C53) or cor- pus (C54) uterine cancer according to age-specific propor- tions in the same population.16 For the countries for which country-specific incidence and survival data were available, mortality for cervix uteri (C53) and corpus uteri (C54) cancers was estimated from incidence and 5-year relative survival probabilities.

Depending on the coverage, completeness and degree of detail of the mortality data available, six methods were uti- lised, ranked in descending order of the probable accuracy of the derived estimates:

1. When mortality data were available historically from national sources and a sufficient number of recorded can- cer deaths were available, mortality rates were projected to 2012 using models and applied to 2012 national population (69 countries)

2. When recent mortality data were available from national sources, the most recent mortality rates were applied to 2012 national population (26 countries)

3. When recent mortality data were available from regional sources, national mortality was estimated as the weighted average of the local mortality rates (one country)

4. When recent mortality data were not available from national sources but country-specific survival estimates were available, national mortality was estimated from

national incidence estimates and country-specific survival (two countries)

5. When recent mortality data were not available from national sources, national mortality was estimated from national incidence estimates using modelled survival as described in Appendix B (83 countries)

6. When recent mortality data were not available from national sources, and survival estimates could not be derived using the previous method, the country-specific rates represent simply those of neighbouring countries in the same region (three countries).

Random fluctuations in the predicted age-specific inci- dence and mortality rates were smoothed using a loess func- tion, a locally weighted regression, by country, sex and cancer site. Estimates for the 20 world regions (Fig. 1) were obtained by the population-weighted average of the incidence and mortality rates of the component countries. These rates were applied to the corresponding population for the region for 2012 to obtain the estimated numbers of new cancer cases and deaths in 2012. The rates were age-standardized (ASRs per 100,000 person-years) using the direct method and the World standard population as proposed by Segi17 and modified by Doll et al.18 The cumulative risk of developing or dying from cancer before the age of 75 in the absence of competing causes of death was also calculated using the age- specific rates and expressed as a percentage. Both of these indicators allow comparisons between populations that are not influenced by differences in their age structures.

The list of the 184 countries or territories together with their corresponding indicators of data availability and meth- ods of estimation is given in Appendix C. The full descrip- tion of GLOBOCAN 2012 in terms of the data sources and methods used for each country and further details of the esti- mations are available online (http://globocan.iarc.fr). Similar information for Europe has also been described for 40 coun- tries15 and the results are available online at the European Cancer Observatory (ECO) (http://eco.iarc.fr). The overall and cancer-specific results are described and presented here by world region, and for historical reference, according to the dichotomy of ‘developed’ and ‘developing’ regions: the former comprising Northern America, Europe, Australia/New Zea- land and Japan, the latter, the remaining regions and countries.

Results Global burden of cancer

We estimated that 14.1 million new cancer cases and 8.2 mil- lion cancer deaths occurred in 2012 worldwide. Tables 1 and 2 show the estimated number of cases and deaths (in thousands) for all cancers combined (excluding non- melanoma skin cancers) and for 27 specific cancers in men, women and both sexes, together with the corresponding ASRs and the cumulative risk. Lung cancer remains the most common cancer in the world, both in term of new cases (1.8

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million cases, 12.9% of total) and deaths (1.6 million deaths, 19.4%) because of the high case fatality. Breast cancer is the second most common cancer overall (1.7 million cases, 11.9%) but ranks 5th as cause of death (522,000, 6.4%) because of the relatively favourable prognosis; these are fol- lowed, in terms of incidence, by colorectal cancer (1.4 million cases, 694,000 deaths), prostate cancer (1.1 million cases, 307,000 deaths), stomach cancer (951,000 cases, 723,000 deaths) and liver cancer (782,000 cases and 745,000 deaths). These six cancers represent 55% of the global incidence bur- den in 2012; in more developed regions, just four cancers— female breast, prostate, lung and colorectum (Fig. 3a)—com- prise half of the total incidence, whereas lung, female breast, stomach and colorectal cancers combined with liver and cer-

vical cancers explain over half the incidence burden (54%) in less developed regions (Fig. 3b).

The ranking of the 15 most common cancers are shown for men (Fig. 4a) and women (Fig. 4b), as numbers of new cases and deaths in more and less developed regions of the world. Although lung cancer is the most common cancer worldwide among men, it ranks second in more developed regions (490,000 cases) after prostate cancer (759,000 cases). Cancers of the lung (751,000 cases, 682,000 deaths), liver (462,000 cases, 441,000 deaths) and stomach (456,000 cases, 362,000 deaths) predominate among males in less developed regions, representing 40% of the new cancer cases and 48% of the total cancer deaths. In women, breast cancer is the most common cancer diagnosed in more and less developed

Table 1. Estimated new cancer cases (thousands), ASRs (per 100,000) and cumulative risks to age 75 (percent) by sex and cancer site world- wide, 2012

Both sexes Male Female

Cancer site Cases (%) ASR (World)

Cum. risk (0–74) Cases (%)

ASR (World)

Cum. risk (0–74) Cases (%)

ASR (World)

Cum.risk (0–74)

Lip, oral cavity 300 2.1 4.0 0.5 199 2.7 5.5 0.6 101 1.5 2.5 0.3

Nasopharynx 87 0.6 1.2 0.1 61 0.8 1.7 0.2 26 0.4 0.7 0.1

Other pharynx 142 1.0 1.9 0.2 115 1.5 3.2 0.4 27 0.4 0.7 0.1

Oesophagus 456 3.2 5.9 0.7 323 4.3 9.0 1.1 133 2.0 3.1 0.4

Stomach 951 6.8 12.1 1.4 631 8.5 17.4 2.0 320 4.8 7.5 0.8

Colorectum 1360 9.7 17.2 2.0 746 10.0 20.6 2.4 614 9.2 14.3 1.6

Liver 782 5.6 10.1 1.1 554 7.5 15.3 1.7 228 3.4 5.4 0.6

Gallbladder 178 1.3 2.2 0.2 77 1.0 2.1 0.2 101 1.5 2.3 0.3

Pancreas 338 2.4 4.2 0.5 178 2.4 4.9 0.6 160 2.4 3.6 0.4

Larynx 157 1.1 2.1 0.3 138 1.9 3.9 0.5 19 0.3 0.5 0.1

Lung 1825 12.9 23.1 2.7 1242 16.7 34.2 3.9 583 8.7 13.6 1.6

Melanoma of skin 232 1.6 3.0 0.3 121 1.6 3.3 0.4 111 1.7 2.8 0.3

Kaposi sarcoma 44 0.3 0.6 0.1 29 0.4 0.8 0.1 15 0.2 0.4 0.0

Breast 1677 11.9 43.3 4.6 1677 25.2 43.3 4.6

Cervix uteri 528 3.7 14.0 1.4 528 7.9 14.0 1.4

Corpus uteri 320 2.3 8.3 1.0 320 4.8 8.3 1.0

Ovary 239 1.7 6.1 0.7 239 3.6 6.1 0.7

Prostate 1112 7.9 31.1 3.8 1112 15.0 31.1 3.8

Testis 55 0.4 1.5 0.1 55 0.7 1.5 0.1

Kidney 338 2.4 4.4 0.5 214 2.9 6.0 0.7 124 1.9 3.1 0.3

Bladder 429 3.1 5.3 0.6 330 4.4 9.0 1.0 99 1.5 2.2 0.2

Brain, nervous system 257 1.8 3.4 0.3 140 1.9 3.9 0.4 117 1.8 3.0 0.3

Thyroid 298 2.1 4.0 0.4 68 0.9 1.9 0.2 230 3.5 6.1 0.6

Hodgkin lymphoma 66 0.5 0.9 0.1 39 0.5 1.1 0.1 27 0.4 0.7 0.1

Non-Hodgkin lymphoma 386 2.7 5.1 0.5 218 2.9 6.0 0.6 168 2.5 4.1 0.4

Multiple myeloma 114 0.8 1.5 0.2 62 0.8 1.7 0.2 52 0.8 1.2 0.2

Leukaemia 352 2.5 4.7 0.4 201 2.7 5.6 0.5 151 2.3 3.9 0.4

All cancers excl. non-melanoma skin cancer

14090 100.0 182.3 18.5 7427 100.0 205.4 21.0 6663 100.0 165.3 16.4

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regions, with more cases occurring in less developed (883,000 cases) than more developed regions (794,000). Cervical can- cer, the second most common cancer in less developed regions (445,000 cases), ranks only 11th in more developed regions (83,000 cases). Lung cancer is now the leading cause of cancer death among women in more developed regions (210,000 deaths) followed by breast cancer (198,000 deaths) which ranks as the most frequent in women in less developed regions (324,000 deaths) followed by cancers of the lung (281,000 deaths) and cervix (230,000 deaths).

Figure 5 shows the distribution of the global cancer cases and deaths (all types of cancer, both sexes combined) by world region. Most cases (4.1 million, 29.4% of the total) and deaths (2.75 million, 33.6%) occurred in Eastern Asia with its vast

population (1.6 billion, 22% of the global population in 2012). Northern America ranks second in terms of number of new cases (1.78 million, 12.7%) but third (691,000, 6.4%) in terms of cancer deaths after South-Central Asia (1.0 million deaths, 12.5%). Almost a quarter of the new cases (3.44 million) and one fifth of the deaths (1.75 million) occurred in the four Euro- pean regions, despite containing 10% of the global population.

Tables 3 and 4 show the estimated incidence and mortality ASRs (world standard), respectively, by sex and cancer site for the 20 regions of the world, and for more developed and less devel- oped regions. Tables 5 and 6 portray the estimates of the numbers of cancer cases and deaths, and Tables 7 and 8 the estimates of cumulative risk (ages 0–74, percent) for the same categories. A brief description of the patterns for each cancer site follows.

Table 2. Estimated cancer deaths (thousands), ASRs (per 100,000) and cumulative risks to age 75 (percent) by sex and cancer site world- wide, 2012

Both sexes Male Female

Cancer site Deaths (%) ASR (World)

Cum.risk (0–74) Deaths (%)

ASR (World)

Cum.risk (0–74) Deaths (%)

ASR (World)

Cum.risk (0–74)

Lip, oral cavity 145 1.8 1.9 0.2 98 2.1 2.7 0.3 47 1.3 1.2 0.1

Nasopharynx 51 0.6 0.7 0.1 36 0.8 1.0 0.1 15 0.4 0.4 0.0

Other pharynx 97 1.2 1.3 0.2 78 1.7 2.2 0.3 19 0.5 0.5 0.1

Oesophagus 400 4.9 5.0 0.6 281 6.0 7.7 0.9 119 3.4 2.7 0.3

Stomach 723 8.8 8.9 1.0 469 10.1 12.8 1.4 254 7.2 5.7 0.6

Colorectum 694 8.5 8.4 0.9 374 8.0 10.0 1.0 320 9.0 6.9 0.7

Liver 745 9.1 9.5 1.0 521 11.2 14.3 1.6 224 6.3 5.1 0.6

Gallbladder 142 1.7 1.7 0.2 60 1.3 1.6 0.2 82 2.3 1.8 0.2

Pancreas 331 4.0 4.1 0.4 174 3.7 4.8 0.5 157 4.4 3.4 0.4

Larynx 83 1.0 1.1 0.1 73 1.6 2.0 0.2 10 0.3 0.2 0.0

Lung 1590 19.4 19.7 2.2 1099 23.6 30.0 3.3 491 13.8 11.1 1.2

Melanoma of skin 55 0.7 0.7 0.1 31 0.7 0.9 0.1 24 0.7 0.6 0.1

Kaposi sarcoma 27 0.3 0.4 0.0 17 0.4 0.5 0.1 10 0.3 0.3 0.0

Breast 522 6.4 12.9 1.4 522 14.7 12.9 1.4

Cervix uteri 266 3.2 6.8 0.8 266 7.5 6.8 0.8

Corpus uteri 76 0.9 1.8 0.2 76 2.1 1.8 0.2

Ovary 152 1.9 3.8 0.4 152 4.3 3.8 0.4

Prostate 307 3.7 7.8 0.6 307 6.6 7.8 0.6

Testis 10 0.1 0.3 0.0 10 0.2 0.3 0.0

Kidney 144 1.7 1.8 0.2 91 2.0 2.5 0.3 53 1.5 1.2 0.1

Bladder 165 2.0 1.9 0.2 123 2.6 3.2 0.3 42 1.2 0.9 0.1

Brain, nervous system 189 2.3 2.5 0.3 106 2.3 3.0 0.3 83 2.3 2.1 0.2

Thyroid 40 0.5 0.5 0.1 13 0.3 0.4 0.0 27 0.8 0.6 0.1

Hodgkin lymphoma 25 0.3 0.3 0.0 15 0.3 0.4 0.0 10 0.3 0.3 0.0

Non-Hodgkin lymphoma 200 2.4 2.5 0.3 115 2.5 3.2 0.3 84 2.4 2.0 0.2

Multiple myeloma 80 1.0 1.0 0.1 43 0.9 1.2 0.1 37 1.0 0.8 0.1

Leukaemia 265 3.2 3.4 0.3 151 3.2 4.2 0.4 114 3.2 2.8 0.3

All cancers excl. non-melanoma skin cancer

8201 100.0 102.4 10.5 4653 100.0 126.3 12.7 3548 100.0 82.9 8.4

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All sites combined (excluding non-melanoma skin cancer).

Overall incidence rates are almost 25% higher in men (ASR 205 per 100,000) than in women (165 per 100,000), with male incidence rates varying almost fivefold across the differ- ent regions of the world, from 79 per 100,000 in Western Africa to 365 per 100,000 in Australia/New Zealand, with high rates of prostate cancer making a significant contribu- tion to the latter (Table 3). There is less variation in female incidence, rates ranging from 103 per 100,000 in South- Central Asia to 295 per 100,000 in Northern America (Table 3). In terms of mortality, the cumulative risk of dying from cancer is 20% higher in more developed than less developed regions in men, and 10% higher in women (Table 4). The

risk of dying from cancer among men is highest in Central and Eastern Europe (19%) and lowest in Western Africa (7%) (Table 8). In contrast, the highest risk of cancer death in women is in Melanesia and Eastern Africa (both 12%), and the lowest in Eastern Asia (8%) and South-Central Asia (7%).

Lung cancer. Lung cancer emerged as the most common cancer worldwide several decades ago: with 660,000 new cases estimated in 1980, it had risen to equal stomach can- cer.19 Of the estimated 1.8 million new cases in 2012 (12.9% of the total) (Table 1), 58% occurred in less developed regions. It is the most common cancer in men worldwide

Figure 3. Estimated global numbers of new cases (thousands) with proportions for (a) more developed and (b) less developed regions, both sexes combined, 2012. The area of the pie is proportional to the number of new cases.

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(1.2 million, 16.7% of the total), with the highest rates in Central and Eastern Europe (53.5 per 100,000) and Eastern Asia (50.4 per 100,000). Incidence rates are very low in Mid- dle and Western Africa (2.0 and 1.7 per 100,000, respectively) (Table 3). In women, the incidence rates are generally lower and the geographical pattern somewhat different, reflecting in

part variations in the uptake and consumption of tobacco. The highest estimated rates are in Northern America (33.8) and Northern Europe (23.7) compared with low rates in Western and Middle Africa (1.1 and 0.8 respectively) (Table 3). The relatively high rate in women in Eastern Asia (19.2) has been of particular interest, since tobacco smoking is

Figure 4. (a) Estimated numbers (thousands) of new cancer cases (incidence) and deaths (mortality) in men in more developed and less developed regions of the world in 2012. (b) Estimated numbers (thousands) of new cancer cases (incidence) and deaths (mortality) in women in more devel- oped and less developed regions of the world in 2012.

E p id em

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Ferlay et al. E367

Int. J. Cancer: 136, E359–E386 (2015) VC 2014 UICC

generally very rare in these populations. The disease is the most common cause of death from cancer worldwide, responsible for nearly one cancer death in five (1.59 million deaths, 19.4% of the total). Because of the high fatality associ- ated with the disease, the geographical patterns in mortality closely follow those of incidence.

Breast cancer. Breast cancer is the second most common cancer in the world and, by far the most frequent cancer among women with an estimated 1.67 million new cancer cases diagnosed in 2012 (25% of all cancers) (Table 1). A slight majority of cases occur in women in less developed regions (Table 5). Incidence rates vary nearly fourfold across the world regions, with rates ranging from 27 per 100,000 in Middle Africa and Eastern Asia to 96 in Western Europe (Table 3).

Breast cancer ranks as the fifth cause of death from cancer overall (522,000 deaths) and while it is the most frequent cause of cancer death in women in less developed regions (324,000 deaths, 14.3% of total), it is now the second cause of cancer death in more developed regions (198,000 deaths, 15.4%) after lung cancer (Table 6). The range in mortality rates between world regions is less than that for incidence because of the more favourable survival from breast cancer in (high-incidence) developed regions.

Colorectal cancer. Colorectal cancer is the third most com- mon cancer in men (746,000 cases, 10.0% of the total) and the second in women (614,000 cases, 9.2% of the total) worldwide (Table 1). Almost 55% of the cases occur in more developed regions (Table 5). There is a 10-fold variation in

incidence across the world and the patterns are very similar in men and women, with the highest rates in Australia/New Zealand (ASR 44.8 and 32.2 per 100,000 in men and women, respectively), and lowest in Western Africa (4.5 and 3.8 per 100,000) (Table 3).

Mortality is considerably lower (694,000 deaths in both sexes, 8.5% of the total) with more deaths (52%) in less developed regions of the world, reflecting poorer prognosis in these regions (Table 6). There is less variability in mortality rates worldwide (sixfold in men, fourfold in women), with rates highest in Central and Eastern Europe (20.3 per 100,000 for men, 11.7 per 100,000 for women), and lowest in Western Africa (3.5 and 3.0, respectively) (Table 4).

Prostate cancer. Prostate cancer is the fourth most common cancer in both sexes combined and the second most common cancer in men. An estimated 1.1 million cases were diag- nosed worldwide with prostate cancer in 2012, accounting for 15% of the cancers diagnosed in men, with almost 70% of them (759,000) occurring in more developed regions (Table 5). Prostate cancer incidence varies more than 25-fold worldwide; the rates are highest in Australia/New Zealand and Northern America (ASR 111.6 and 97.2 per 100,000, respectively), and in Western and Northern Europe (ASR 94.9 and 85 per 100,000), largely because the widespread practice of prostate specific antigen (PSA) testing and subse- quent biopsy in those regions (Table 3). Incidence rates are also relatively high in certain less developed regions such as the Caribbean (79.8), Southern Africa (61.7) and South America (60.1), but remain low in Asian populations, with

Figure 5. Estimated global numbers of new cases and deaths with proportions by world regions, both sexes combined, 2012. The area of the pie is proportional to the number of new cases or deaths.

E p id em

io lo gy

E368 Globocan 2012

Int. J. Cancer: 136, E359–E386 (2015) VC 2014 UICC

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2 .1

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0 .4

0 .3

0 .3

1 .0

0 .7

0 .4

3 .7

2 .5

0 .4

0 .4

1 .4

1 .2

7 8

.7 1

1 2

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T h

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m e

ri c a

s 6

7 .6

1 4

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2 .3

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4 .2

3 .7

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3 .3

1 .3

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3 2

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2 .7

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3 4

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W e

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2 .7

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4 .5

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1 .9

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rt h

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9 .2

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2 .4

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E p id em

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T a

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4 .

E s

ti m

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rd )

o f

c a

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r m

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c a

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it e

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0 0

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x (C

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p h

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n x

(C 0

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S to

m a

c h

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C o

lo re

c tu

m (C

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(C 2

2 )

G a

ll b

la d

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(C 2

3 -

2 4

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a n

c re

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(C 2

5 )

L a

ry n

x (C

3 2

) L u

n g

(C 3

3 -3

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M e

la -

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(C 4

3 )

K a

p o

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s a

rc o

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M F

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3 .8

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0 .1

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0 .2

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5 .8

6 .7

3 .2

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7 .7

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C e

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6 .7

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6 .6

6 .1

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3 .5

1 .5

0 .2

9 .0

4 .3

0 .6

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S o

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c a

2 .2

0 .7

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2 .2

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8 .5

8 .9

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0 .6

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N o

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6 .7

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9 .8

1 0

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9 .9

9 .6

2 .8

2 .6

5 .2

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1 .1

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4 4

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6 .2

0 .4

0 .3

0 .0

0 .0

S o

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-E a

s te

rn A

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1 .9

1 .2

3 .8

1 .4

2 .1

0 .5

3 .3

0 .9

7 .3

3 .5

9 .7

6 .4

2 1

.4 6

.8 1

.3 1

.1 2

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6 .6

9 .4

0 .3

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0 .7

3 .0

0 .2

0 .1

0 .0

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rn A

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1 .0

0 .6

0 .7

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0 .6

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0 .0

7 .1

4 .9

2 .5

1 .4

1 .2

4 .7

3 .0

2 .9

0 .4

3 4

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ro p

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.0 0

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.9 0

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6 .2

9 .9

6 .1

2 .2

1 .1

1 .3

8 .2

5 .3

3 .0

0 .2

3 9

.8 1

1 .8

2 .0

1 .3

0 .0

0 .0

C e

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a l

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a s

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E u

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6 .8

7 .1

2 0

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1 .7

5 .4

2 .2

1 .3

1 .5

9 .0

4 .9

4 .9

0 .2

4 7

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3 .4

9 .1

4 .0

1 .8

0 .6

0 .8

7 .1

5 .6

1 .3

0 .2

2 9

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9 .0

2 .5

1 .6

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5 .4

8 .7

7 .5

2 .5

1 .5

1 .5

7 .4

4 .9

2 .9

0 .2

3 9

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0 .0

1 .6

1 .0

0 .0

0 .0

W e

s te

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2 .0

0 .6

0 .2

0 .1

2 .7

0 .5

5 .0

1 .2

5 .1

2 .5

1 3

.3 8

.3 6

.5 2

.1 0

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5 .3

1 4

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O c e

a n

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.7 1

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.1 1

1 .4

8 .2

6 .9

2 .9

0 .6

0 .7

5 .9

4 .6

1 .0

0 .2

2 3

.1 1

4 .1

5 .4

2 .3

0 .0

0 .0

A u

s tr

a li

a / N

e w

Z e

a la

n d

1 .4

0 .6

0 .2

0 .1

1 .2

0 .3

4 .7

1 .3

3 .6

1 .7

1 1

.6 8

.5 5

.4 2

.0 0

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.7 6

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3 .5

1 4

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M e

la n

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4 .4

1 0

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.4 1

.4 6

.6 4

.7 7

.7 4

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4 .4

7 .3

1 .6

0 .6

2 .3

1 .2

1 .9

0 .4

1 3

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.0 2

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.3 0

.1 0

.0

M ic

ro n

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ia / P

o ly

n e

s ia

1 .7

0 .0

0 .9

0 .4

1 .1

0 .2

3 .2

0 .2

6 .2

3 .0

8 .2

5 .1

1 0

.1 2

.2 0

.0 1

.1 3

.9 1

.1 1

.1 0

.4 3

8 .4

1 7

.3 1

.0 0

.4 0

.0 0

.0

E p id em

io lo gy

T a

b le

4 .

E s

ti m

a te

d a

g e

-s ta

n d

a rd

is e

d ra

te s

(A S

R s

, W

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.1

S o

u th

-E a

s te

rn A

s ia

1 0

.5 7

.6 1

8 .0

7 .6

6 .9

2 .0

9 .4

2 .9

2 1

.3 1

2 .3

3 8

.5 3

0 .5

5 8

.5 2

1 .5

3 .6

3 .6

6 .4

5 .9

6 .9

1 .4

7 4

.0 3

1 .0

1 .3

1 .0

0 .1

0 .1

S o

u th

-C e

n tr

a l

A s

ia 7

3 .6

3 5

.1 4

.5 1

.7 4

3 .9

1 0

.8 4

5 .3

2 8

.5 6

4 .6

3 1

.7 5

0 .7

3 9

.0 2

5 .8

1 5

.6 1

0 .2

1 7

.2 9

.3 7

.5 3

2 .4

4 .4

8 0

.9 2

4 .8

2 .3

1 .8

0 .2

0 .1

W e

s te

rn A

s ia

2 .4

1 .6

1 .3

0 .6

0 .7

0 .4

2 .4

2 .0

1 0

.1 7

.0 1

5 .1

1 2

.0 4

.3 2

.5 1

.3 1

.3 4

.0 2

.9 5

.6 0

.8 3

1 .7

6 .7

1 .6

1 .6

0 .4

0 .2

E u

ro p

e 4

2 .6

1 8

.8 2

.9 1

.2 2

8 .4

5 .7

3 5

.1 1

0 .8

8 4

.2 5

5 .4

2 4

1 .8

2 0

5 .3

4 2

.8 2

0 .6

1 1

.9 1

7 .9

5 2

.0 5

1 .9

3 6

.0 3

.9 2

9 0

.9 1

1 9

.3 4

7 .3

5 3

.2 1

.5 0

.6

C e

n tr

a l

a n

d E

a s

te rn

E u

ro p

e 1

7 .7

6 .0

1 .1

0 .5

1 0

.2 1

.4 1

1 .0

2 .6

4 1

.1 2

8 .6

7 0

.3 6

9 .5

9 .5

6 .5

3 .4

6 .6

1 7

.8 1

6 .9

1 5

.3 1

.2 1

0 7

.0 3

1 .7

8 .6

1 1

.8 0

.2 0

.2

N o

rt h

e rn

E u

ro p

e 4

.8 3

.0 0

.3 0

.1 2

.6 0

.8 7

.6 3

.5 7

.2 4

.5 3

5 .3

2 9

.9 4

.2 2

.3 0

.8 1

.4 6

.9 7

.3 2

.9 0

.6 3

3 .5

2 6

.7 1

1 .2

1 2

.1 0

.2 0

.0

S o

u th

e rn

E u

ro p

e 7

.7 3

.8 0

.8 0

.3 4

.1 0

.7 4

.5 1

.1 1

8 .3

1 2

.1 6

0 .0

4 5

.0 1

4 .1

6 .4

3 .6

4 .5

1 1

.5 1

1 .5

9 .6

0 .9

6 9

.9 2

1 .8

9 .3

1 0

.0 0

.9 0

.3

W e

s te

rn E

u ro

p e

1 2

.3 6

.0 0

.7 0

.3 1

1 .5

2 .7

1 1

.9 3

.6 1

7 .6

1 0

.3 7

6 .2

6 0

.9 1

5 .0

5 .5

4 .1

5 .4

1 5

.7 1

6 .2

8 .1

1 .3

8 0

.6 3

9 .2

1 8

.2 1

9 .3

0 .2

0 .1

O c e

a n

ia 2

.3 1

.4 0

.1 0

.1 0

.7 0

.2 1

.4 0

.6 1

.8 1

.0 1

0 .7

8 .8

1 .9

0 .8

0 .4

0 .5

1 .9

1 .6

0 .7

0 .1

8 .4

5 .8

8 .6

6 .4

0 .1

0 .0

A u

s tr

a li

a / N

e w

Z e

a la

n d

1 .7

0 .9

0 .1

0 .0

0 .6

0 .1

1 .3

0 .5

1 .6

0 .9

1 0

.3 8

.5 1

.4 0

.6 0

.4 0

.4 1

.8 1

.6 0

.7 0

.1 7

.8 5

.5 8

.5 6

.2 0

.1 0

.0

M e

la n

e s

ia 0

.6 0

.5 0

.0 0

.0 0

.1 0

.0 0

.1 0

.0 0

.2 0

.2 0

.3 0

.2 0

.5 0

.3 0

.0 0

.0 0

.1 0

.0 0

.1 0

.0 0

.3 0

.2 0

.1 0

.1 0

.0 0

.0

M ic

ro n

e s

ia / P

o ly

n e

s ia

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .1

0 .1

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .2

0 .1

0 .0

0 .0

0 .0

0 .0

E p id em

io lo gy

T a

b le

5 .

E s

ti m

a te

d n

u m

b e

rs o

f n

e w

c a

n c e

r c a

s e

s (t

h o

u s

a n

d s

) b

y s

e x ,

c a

n c e

r s

it e

a n

d re

g io

n s

, 2

0 1

2 (C

o n

ti n

u e

d )

B re

a s

t (C

5 0

)

C e

rv ix

u te

ri (C

5 3

)

C o

rp u

s u

te ri

(C 5

4 )

O v

a ry

(C 5

6 )

P ro

s ta

te (C

6 1

) T

e s

ti s

(C 6

2 )

K id

n e

y (C

6 4

-6 6

) B

la d

d e

r (C

6 7

) B

ra in

, c n

s (C

7 0

-7 2

) T

h y

ro id

(C 7

3 )

H o

d g

k in

(C 8

1 )

N H

L (C

8 2

- 8

5 ,C

9 6

)

M u

lt ip

le m

y e

lo m

a (C

8 8

1 C

9 0

) L e

u k

a e

m ia

(C 9

1 -9

5 )

A ll

s it

e s

b u

t C

4 4

(C 0

0 -9

7 /C

4 4

)

F F

F F

M M

M F

M F

M F

M F

M F

M F

M F

M F

M F

W o

rl d

1 6

7 6

.6 5

2 7

.6 3

1 9

.6 2

3 8

.7 1

1 1

1 .7

5 5

.3 2

1 3

.9 1

2 3

.9 3

3 0

.4 9

9 .4

1 3

9 .6

1 1

6 .6

6 8

.2 2

2 9

.9 3

8 .5

2 7

.4 2

1 7

.6 1

6 8

.1 6

2 .5

5 1

.8 2

0 0

.7 1

5 1

.3 7

4 2

7 .1

6 6

6 3

.0

M o

re d

e v e

lo p

e d

re g

io n

s 7

9 3

.7 8

3 .1

1 6

7 .9

9 9

.8 7

5 8

.7 3

2 .7

1 2

5 .4

7 4

.6 1

9 6

.1 5

7 .8

4 8

.2 4

0 .7

2 9

.7 9

3 .1

1 5

.6 1

3 .3

1 0

1 .9

8 8

.5 3

6 .5

3 1

.5 8

0 .3

6 1

.0 3

2 4

3 .5

2 8

3 2

.4

L e

s s

d e

v e

lo p

e d

re g

io n

s 8

8 2

.9 4

4 4

.5 1

5 1

.7 1

3 9

.0 3

5 3

.0 2

2 .5

8 8

.5 4

9 .3

1 3

4 .3

4 1

.6 9

1 .4

7 5

.9 3

8 .5

1 3

6 .8

2 3

.0 1

4 .1

1 1

5 .8

7 9

.6 2

6 .0

2 0

.3 1

2 0

.4 9

0 .3

4 1

8 3

.6 3

8 3

0 .6

A fr

ic a

1 3

3 .9

9 9

.0 1

1 .4

1 7

.8 5

9 .5

1 .5

5 .1

4 .9

1 7

.7 6

.8 7

.6 6

.3 2

.9 9

.1 4

.7 3

.2 2

1 .1

1 5

.7 3

.0 2

.9 1

3 .3

1 0

.7 3

6 2

.0 4

8 4

.9

E a

s te

rn A

fr ic

a 3

3 .5

4 5

.7 3

.1 5

.9 1

7 .2

0 .4

1 .4

1 .8

2 .8

2 .0

1 .5

1 .3

1 .1

2 .8

1 .4

1 .0

7 .0

4 .8

0 .9

1 .0

4 .9

4 .1

1 1

6 .8

1 7

0 .5

M id

d le

A fr

ic a

1 0

.9 1

1 .5

1 .1

1 .6

6 .9

0 .1

0 .4

0 .3

0 .6

0 .4

0 .3

0 .2

0 .2

0 .5

0 .3

0 .2

2 .2

1 .8

0 .3

0 .3

1 .1

0 .8

3 0

.3 4

3 .8

N o

rt h

e rn

A fr

ic a

3 9

.5 5

.8 2

.6 5

.1 7

.5 0

.6 2

.0 1

.5 1

1 .2

2 .7

4 .8

4 .1

1 .2

4 .3

1 .8

1 .3

6 .4

4 .8

1 .1

0 .9

5 .0

3 .7

1 0

5 .8

1 1

4 .8

S o

u th

e rn

A fr

ic a

1 0

.3 8

.7 1

.7 1

.4 1

0 .3

0 .2

0 .3

0 .2

1 .3

0 .5

0 .5

0 .3

0 .1

0 .4

0 .3

0 .2

1 .3

1 .2

0 .4

0 .4

0 .8

0 .7

3 9

.9 4

3 .0

W e

s te

rn A

fr ic

a 3

9 .7

2 7

.3 2

.8 3

.8 1

7 .6

0 .3

1 .0

1 .0

1 .7

1 .2

0 .5

0 .4

0 .3

1 .1

1 .0

0 .5

4 .2

3 .0

0 .3

0 .3

1 .5

1 .3

6 9

.2 1

1 2

.9

T h

e A

m e

ri c a

s 4

0 8

.3 8

3 .2

7 4

.3 4

1 .5

4 1

2 .7

1 6

.2 5

2 .9

3 2

.1 7

5 .7

2 5

.9 2

8 .0

2 3

.7 1

9 .4

6 6

.1 8

.8 6

.9 5

4 .3

4 5

.3 1

7 .2

1 4

.4 4

1 .2

3 2

.9 1

4 5

3 .7

1 4

2 8

.7

C a

ri b

b e

a n

1 1

.3 5

.0 2

.6 1

.2 1

8 .7

0 .2

0 .7

0 .4

1 .8

0 .5

0 .7

0 .8

0 .3

1 .0

0 .2

0 .2

1 .1

0 .9

0 .5

0 .5

1 .1

0 .9

4 8

.3 4

2 .5

C e

n tr

a l

A m

e ri

c a

2 4

.9 1

8 .8

4 .8

3 .9

1 9

.0 2

.0 2

.8 1

.7 2

.3 1

.4 3

.3 2

.7 0

.9 3

.0 1

.0 0

.7 3

.1 2

.5 0

.9 0

.7 4

.4 3

.9 8

7 .3

1 1

0 .3

S o

u th

A m

e ri

c a

1 1

5 .9

4 5

.0 1

2 .2

1 2

.8 1

1 4

.7 5

.0 9

.7 6

.0 1

3 .4

5 .3

1 0

.5 9

.4 3

.9 1

8 .5

2 .2

1 .7

1 1

.8 9

.7 3

.7 3

.3 1

0 .3

8 .7

3 9

7 .5

4 1

0 .2

N o

rt h

e rn

A m

e ri

c a

2 5

6 .2

1 4

.4 5

4 .7

2 3

.5 2

6 0

.3 9

.0 3

9 .8

2 4

.0 5

8 .1

1 8

.7 1

3 .4

1 0

.9 1

4 .3

4 3

.6 5

.3 4

.2 3

8 .3

3 2

.1 1

2 .2

9 .9

2 5

.5 1

9 .5

9 2

0 .6

8 6

5 .7

A s

ia 6

5 1

.0 2

8 4

.8 1

3 1

.8 1

1 1

.9 1

9 6

.2 1

5 .1

8 1

.4 4

2 .0

1 1

5 .6

3 2

.9 7

2 .1

5 9

.4 3

2 .9

1 1

1 .6

1 5

.3 8

.7 8

9 .4

6 0

.6 2

0 .6

1 5

.2 9

7 .3

7 0

.2 3

6 9

4 .9

3 0

6 8

.2

E a

s te

rn A

s ia

2 7

7 .1

7 8

.0 8

9 .4

4 8

.3 1

1 8

.6 4

.3 6

1 .5

3 1

.2 6

4 .7

2 0

.8 3

9 .6

3 5

.7 1

9 .9

7 2

.2 2

.1 1

.5 4

1 .5

3 0

.1 1

0 .5

7 .4

4 7

.6 3

4 .0

2 4

3 1

.5 1

7 1

3 .5

S o

u th

-E a

s te

rn A

s ia

1 0

7 .5

5 0

.6 1

5 .3

1 9

.9 2

6 .5

2 .6

4 .9

2 .8

1 0

.8 3

.0 7

.5 6

.3 5

.0 1

4 .3

1 .5

0 .9

1 5

.3 1

1 .3

2 .3

2 .2

1 3

.8 1

2 .0

3 8

2 .9

4 0

3 .5

S o

u th

-C e

n tr

a l

A s

ia 2

2 3

.9 1

5 1

.8 2

0 .0

3 8

.4 2

9 .3

5 .9

1 0

.4 5

.1 2

4 .4

6 .2

1 9

.5 1

2 .2

5 .5

1 4

.7 8

.9 4

.6 2

5 .2

1 3

.6 5

.9 4

.0 2

8 .9

1 9

.2 7

1 1

.8 8

0 2

.3

W e

s te

rn A

s ia

4 2

.5 4

.5 7

.1 5

.2 2

1 .8

2 .3

4 .6

2 .9

1 5

.8 2

.9 5

.5 5

.1 2

.5 1

0 .5

2 .8

1 .8

7 .5

5 .6

2 .0

1 .6

7 .0

5 .0

1 6

8 .7

1 4

8 .9

E u

ro p

e 4

6 4

.2 5

8 .4

9 9

.0 6

5 .6

4 1

7 .1

2 1

.5 7

1 .8

4 3

.5 1

1 8

.4 3

2 .9

3 0

.7 2

6 .4

1 2

.3 4

0 .7

9 .3

8 .3

4 9

.6 4

3 .9

2 0

.5 1

8 .4

4 6

.4 3

5 .9

1 8

3 0

.5 1

6 1

1 .7

C e

n tr

a l

a n

d E

a s

te rn

E u

ro p

e 1

2 3

.6 3

3 .9

4 2

.0 2

8 .3

6 5

.4 4

.9 2

3 .8

1 6

.6 3

0 .9

8 .9

9 .9

9 .7

3 .2

1 6

.0 3

.0 3

.1 8

.8 9

.3 3

.2 4

.0 1

3 .2

1 1

.7 5

1 3

.8 5

2 3

.1

N o

rt h

e rn

E u

ro p

e 7

8 .2

5 .4

1 3

.8 1

0 .0

8 1

.7 3

.6 9

.5 5

.9 1

2 .7

4 .6

4 .7

3 .8

1 .2

3 .8

1 .4

1 .1

9 .8

8 .3

3 .9

3 .1

7 .3

5 .2

2 7

1 .6

2 5

4 .2

S o

u th

e rn

E u

ro p

e 1

0 0

.8 9

.3 1

9 .5

1 2

.9 9

1 .4

4 .8

1 5

.4 7

.6 3

4 .8

8 .0

7 .7

6 .3

3 .8

9 .9

2 .2

1 .8

1 2

.7 1

0 .4

5 .1

4 .6

1 1

.2 8

.1 4

3 0

.5 3

3 8

.7

W e

s te

rn E

u ro

p e

1 6

1 .5

9 .8

2 3

.6 1

4 .4

1 7

8 .7

8 .2

2 3

.0 1

3 .4

4 0

.0 1

1 .3

8 .4

6 .6

4 .1

1 1

.0 2

.6 2

.3 1

8 .3

1 5

.9 8

.4 6

.7 1

4 .8

1 0

.8 6

1 4

.7 4

9 5

.7

O c e

a n

ia 1

9 .3

2 .2

3 .1

2 .0

2 6

.1 1

.0 2

.7 1

.4 3

.0 0

.9 1

.2 0

.8 0

.8 2

.5 0

.4 0

.3 3

.3 2

.6 1

.1 0

.8 2

.5 1

.7 8

6 .0

6 9

.4

A u

s tr

a li

a / N

e w

Z e

a la

n d

1 7

.6 0

.9 2

.8 1

.7 2

5 .3

1 .0

2 .7

1 .4

2 .9

0 .9

1 .2

0 .8

0 .7

2 .0

0 .4

0 .3

3 .0

2 .4

1 .1

0 .8

2 .3

1 .5

8 1

.0 6

2 .4

M e

la n

e s

ia 1

.4 1

.2 0

.3 0

.3 0

.5 0

.0 0

.0 0

.0 0

.1 0

.0 0

.0 0

.0 0

.1 0

.4 0

.0 0

.0 0

.2 0

.2 0

.0 0

.0 0

.2 0

.1 4

.0 6

.1

M ic

ro n

e s

ia / P

o ly

n e

s ia

0 .4

0 .1

0 .1

0 .0

0 .4

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .1

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

0 .0

1 .1

1 .0

E p id em

io lo gy

T a

b le

6 .

E s

ti m

a te

d n

u m

b e

rs o

f c a

n c e

r d

e a

th s

(t h

o u

s a

n d

s )

b y

s e

x ,

c a

n c e

r s

it e

a n

d re

g io

n s

, 2

0 1

2

O ra

l c a

v it

y (C

0 0

-0 8

) N

a s

o p

h a

r- y

n x

(C 1

1 )

O th

e r

p h

a r-

y n

x (C

0 9

- 1

0 ,C

1 2

-1 4

) O

e s

o p

h a

g u

s (C

1 5

) S

to m

a c h

(C 1

6 )

C o

lo re

c tu

m (C

1 8

-2 1

) L iv

e r

(C 2

2 )

G a

ll b

la d

d e

r (C

2 3

-2 4

) P

a n

c re

a s

(C 2

5 )

L a

ry n

x (C

3 2

) L u

n g

(C 3

3 -3

4 )

M e

la n

o m

a (C

4 3

)

K a

p o

s i

s a

rc o

m a

(C 4

6 )

M F

M F

M F

M F

M F

M F

M F

M F

M F

M F

M F

M F

M F

W o

rl d

9 7

.9 4

7 .4

3 5

.8 1

5 .1

7 7

.6 1

8 .5

2 8

1 .2

1 1

8 .9

4 6

8 .9

2 5

4 .1

3 7

3 .6

3 2

0 .3

5 2

1 .0

2 2

4 .5

6 0

.3 8

2 .5

1 7

3 .8

1 5

6 .6

7 3

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