Pancreatic Cancer: Epidemiology Forecast to 2026

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Pancreatic cancer is one of the most fatal cancers around the world, with the highest incidence and mortality rates found in developed countries (Michaud, 2004). Rarely, cancer can form in the hormone-producing cells or the neuroendocrine cells of the pancreas. These types of cancer are called islet cell tumors, pancreatic endocrine cancer, or pancreatic neuroendocrine tumors (PNETs)

GlobalData epidemiologists used age- and sex-specific diagnosed incidence rates to forecast the diagnosed incident cases, and used the relative survival rates to calculate the five-year diagnosed prevalent cases, taking into account the significant relationship between age and pancreatic cancer incidence, survival, and prevalence. GlobalData epidemiologists applied country-specific incidence rates of pancreatic cancer, wherever available, to each country’s population to obtain the number of estimated diagnosed incident cases.

The following data describes epidemiology of pancreatic cancer cases excluding PNETS. In 2016, the 7MM had 149,780 diagnosed incident cases of pancreatic cancer. This is expected to increase to 182,557 diagnosed incident cases by 2026, at an Annual Growth Rate (AGR) of 2.19%. The increase is driven by the aging population in the 7MM. In 2016, the 7MM had 106,133 five-year diagnosed prevalent cases of pancreatic cancer. This is expected to increase to 131,769 diagnosed prevalent cases by 2026, at an AGR of 2.42%. The US had the highest number of diagnosed incident and five-year diagnosed prevalent cases of pancreatic cancer. The development of more effective therapies, particularly for elderly patients, would improve survival and increase disease prevalence.

Scope

The pancreatic cancer Epidemiology Forecast Report and Epidemiology Forecast Model provide an overview of the risk factors and global trends of pancreatic cancer in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan).

This report also includes a 10-year epidemiological forecast for the following segmentations in ages 15 years and older across the 7MM: diagnosed incident cases of pancreatic cancer (excluding PNETs); five-year diagnosed prevalent cases of pancreatic cancer (excluding PNETs); diagnosed incident cases of pancreatic cancer (excluding PNETs) by cancer stages at diagnosis; diagnosed incident cases of familial pancreatic cancer (excluding PNETs); diagnosed incident cases of familial pancreatic cancer (excluding PNETs) by germline mutations; and diagnosed incident cases of pancreatic cancer (excluding PNETs) by KRAS mutations.

The pancreatic cancer epidemiology forecast report and model were written and developed by Masters- and PhD-level epidemiologists.

The Epidemiology Forecast Report is in-depth, high quality, transparent, and market-driven, providing expert analysis of disease trends in the 7MM.

The Epidemiology Forecast Model is easy to navigate, interactive with dashboards, and epidemiology-based with transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over a 10-year forecast period using reputable sources.

Reasons to Buy

The Pancreatic Cancer Epidemiology Forecast series will allow you to:

Develop business strategies by understanding the trends shaping and driving the global pancreatic cancer market.

Quantify patient populations in the global pancreatic cancer market to improve product design, pricing, and launch plans.

Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for pancreatic cancer therapeutics in each of the markets covered.

Understand magnitude of pancreatic cancer population by mutations.

Table of Contents

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Pancreatic Cancer: Executive Summary

2.1 Related Reports

2.2 Upcoming Reports

3 Epidemiology

3.1 Disease Background

3.2 Risk Factors and Comorbidities

3.3 Global and Historical Trends

3.3.1 Incidence

3.4 Forecast Methodology

3.4.1 Sources

3.4.2 Forecast Assumptions and Methods

3.4.3 Diagnosed Incident Cases of Pancreatic Cancer (Excluding PNETs)

3.4.4 Diagnosed Incident Cases of Pancreatic Cancer (Excluding PNETs) by Cancer Stages at Diagnosis

3.4.5 Diagnosed Incident Cases of Familial Pancreatic Cancer

3.4.6 Diagnosed Incident Cases of Familial Pancreatic Cancer by Germline Mutations

3.4.7 Diagnosed Incident Cases of Pancreatic Cancer (Excluding PNETs) by Other Mutations

3.4.8 Five-Year Diagnosed Prevalent Cases of Pancreatic Cancer (Excluding PNETs)

3.5 Epidemiological Forecast for Pancreatic Cancer (2016–2026)

3.5.1 Diagnosed Incident Cases of Pancreatic Cancer

3.5.2 Age-Specific Diagnosed Incident Cases of Pancreatic Cancer

3.5.3 Sex-Specific Diagnosed Incident Cases of Pancreatic Cancer

3.5.4 Diagnosed Incident Cases of Pancreatic Cancer by Cancer Stages at Diagnosis

3.5.5 Diagnosed Incident Cases of Familial Pancreatic Cancer

3.5.6 Diagnosed Incident Cases of Familial Pancreatic Cancer by Germline Mutations

3.5.7 Diagnosed Incident Cases of Pancreatic Cancer by Other Mutations

3.5.8 Five-Year Diagnosed Prevalent Cases of Pancreatic Cancer

3.6 Discussion

3.6.1 Epidemiological Forecast Insight

3.6.2 Limitations of Analysis

3.6.3 Strengths of Analysis

4 Appendix

4.1 Bibliography

4.2 About the Authors

4.2.1 Epidemiologist

4.2.2 Reviewers

4.2.3 Global Director of Therapy Analysis and Epidemiology

4.2.4 Global Head and EVP of Healthcare Operations and Strategy

4.3 About GlobalData

4.4 Contact Us

4.5 Disclaimer

Table

Table 1: Risk Factors for Pancreatic Cancer

Table 2: 7MM, Diagnosed Incident Cases of Familial Pancreatic Cancer, Ages ≥15 Years, N, Both Sexes, Select Years 2016–2026

Figures

Figure 1: 7MM, Diagnosed Incident Cases of Pancreatic Cancer (N), Both Sexes, Ages ≥15 Years, 2016 and 2026

Figure 2: 7MM, Five-Year Diagnosed Prevalent Cases of Pancreatic Cancer (N), Both Sexes, Ages ≥15 Years, 2016 and 2026

Figure 3: 7MM, Age-Standardized Diagnosed Incidence of Pancreatic Cancer (Cases per 100,000 Population), Men, Ages ≥15 Years, 2006 to 2026

Figure 4: 7MM, Age-Standardized Diagnosed Incidence of Pancreatic Cancer (Cases per 100,000 Population), Women, Ages ≥15 Years, 2006 to 2026

Figure 5: 7MM, Sources Used for Diagnosed Incident Cases of Pancreatic Cancer

Figure 6: 7MM, Sources Used for Relative Survival Proportions to Forecast the Five-Year Diagnosed Prevalent Cases of Pancreatic Cancer

Figure 7: 7MM, Sources Used for Diagnosed Incident Cases of Pancreatic Cancer by Cancer Stages at Diagnosis

Figure 8: 7MM, Sources Used for Diagnosed Incident Cases of Familial Pancreatic Cancer

Figure 9: 7MM, Sources Used for Diagnosed Incident Cases of Familial Pancreatic Cancer by Germline Mutations

Figure 10: 7MM, Sources Used for Diagnosed Incident Cases of Familial Pancreatic Cancer by Other Mutations

Figure 11: 7MM, Diagnosed Incident Cases of Pancreatic Cancer, Both Sexes, Ages ≥15 Years, N, 2016

Figure 12: 7MM, Age-Specific Diagnosed Incident Cases of Pancreatic Cancer, Both Sexes, Ages ≥15 Years, N, 2016

Figure 13: 7MM, Sex-Specific Diagnosed Incident Cases of Pancreatic Cancer, Ages ≥15 Years, N, 2016

Figure 14: 7MM, Diagnosed Incident Cases of Pancreatic Cancer by Cancer Stages at Diagnosis, Both Sexes, Ages ≥15 Years, N, 2016

Figure 15: 7MM, Diagnosed Incident Cases of Familial Pancreatic Cancer by Germline Mutations, Both Sexes, Ages ≥15 Years, N, 2016 to 2026

Figure 16: 7MM, Diagnosed Incident Cases of Pancreatic Cancer by Other Mutations, Both Sexes, Ages ≥15 Years, N, 2016 to 2026

Figure 17: 7MM, Five-Year Diagnosed Prevalent Cases of Pancreatic Cancer, Both Sexes, Ages ≥15 Years, N, 2016

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