DOI QR코드

DOI QR Code

Prediction of Cancer Incidence and Mortality in Korea, 2016

  • Jung, Kyu-Won (The Korea Central Cancer Registry, National Cancer Center) ;
  • Won, Young-Joo (The Korea Central Cancer Registry, National Cancer Center) ;
  • Oh, Chang-Mo (The Korea Central Cancer Registry, National Cancer Center) ;
  • Kong, Hyun-Joo (The Korea Central Cancer Registry, National Cancer Center) ;
  • Cho, Hyunsoon (The Korea Central Cancer Registry, National Cancer Center) ;
  • Lee, Jong-Keun (The Korea Central Cancer Registry, National Cancer Center) ;
  • Lee, Duk Hyoung (National Cancer Control Institute, National Cancer Center) ;
  • Lee, Kang Hyun (The Korea Central Cancer Registry, National Cancer Center)
  • Received : 2016.03.01
  • Accepted : 2016.03.25
  • Published : 2016.04.15

Abstract

Purpose To estimate of Korea's current cancer burden, this study aimed to report on projected cancer incidence and mortality rates for the year 2016. Materials and Methods Cancer incidence data from 1999 to 2013 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2014 were acquired from Statistics Korea. Cancer incidence in 2016 was projected by fitting a linear regression model to observed age-specific cancer incidence rates against observed years, then multiplying the projected age-specific rates by the age-specific population. The Joinpoint regression model was used to determine at which year the linear trend changed significantly. Results A total of 254,962 new cancer cases and 75,172 cancer deaths are expected to occur in Korea in 2016. The five leading primary cancer incident sites in 2016 were estimated colorectal, stomach, lung, liver and thyroid cancer in men; thyroid, breast, colorectal, stomach, and lung cancer in women. Conclusion Currently cancer is one of the foremost public health concerns in Korea. Although cancer rates are anticipated to decrease the nation's cancer burden will continue to increase as the population ages.

Keywords

Acknowledgement

Supported by : National Cancer Center

References

  1. Statistics Korea [Internet]. Daejeon: Statistics Korea; 2015 [cited 2016 Feb 15]. Available from: http://kosis. kr.
  2. Jung KW, Won YJ, Kong HJ, Oh CM, Cho H, Lee DH, et al. Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2012. Cancer Res Treat. 2015;47:127-41. https://doi.org/10.4143/crt.2015.060
  3. Shin HR, Won YJ, Jung KW, Kong HJ, Yim SH, Lee JK, et al. Nationwide cancer incidence in Korea, 1999-2001; first result using the national cancer incidence database. Cancer Res Treat. 2005;37:325-31. https://doi.org/10.4143/crt.2005.37.6.325
  4. Fritz A, Percy C, Jack A, Shanmugaratnam K, Sobin L, Parkin DM, et al. International classification of diseases for oncology. 3rd ed. Geneva: World Health Organization; 2000.
  5. World Health Organization. International statistical classification of diseases and related health problems. 10th rev. Geneva: World Health Organization; 1994.
  6. Boyle P, Parkin DM. Statistical methods for registries. In: Jensen OM, Parkin DM, MacLennan R, Muir CS, Skeet RG, editors. Cancer registration: principles and methods. No. 95. Lyon: IARC; 1991. p. 126-58.
  7. Australian Institute of Health and Welfare. Cancer incidence projections: Australia, 2011 to 2020. Cancer Series No. 66. Cat. No. CAN 62. Canberra: Australian Institute of Health and Welfare; 2012.
  8. National Cancer Institute. Joinpoint regression program, version4.0 [Internet]. Bethesda, MD: National Cancer Institute;c2015 [cited 2015 Jan 8]. Available from: http://surveillance.cancer.gov/joinpoint/.
  9. Segi M. Cancer mortality for selected sites in 24 countries (1950- 1957). Sendai: Tohoku University School of Medicine; 1960.

Cited by

  1. Bacillusspp. orBacillusspp.-Derived Membrane Vesicles Induce the Intrinsic Pathways of Apoptosis of Human Colon Cancer Cell Lines vol.46, pp.2, 2016, https://doi.org/10.4167/jbv.2016.46.2.84
  2. Coscinoderma sp.의 대장암세포 증식 억제 효과 vol.31, pp.4, 2016, https://doi.org/10.13103/jfhs.2016.31.4.294
  3. Pregnancy-Associated Risk Factors of Postpartum Breast Cancer in Korea: A Nationwide Health Insurance Database Study vol.11, pp.12, 2016, https://doi.org/10.1371/journal.pone.0168469
  4. Anxiety and Depression as Predictive Factors for Quality of Life in Patients with Advanced Gastrointestinal Cancer vol.16, pp.4, 2016, https://doi.org/10.5388/aon.2016.16.4.242
  5. The Correlation of Tissue-Based Biomarkers in Primary and Metastatic Renal Cell Carcinoma Lesions: A Tissue Microarray Study vol.14, pp.3, 2016, https://doi.org/10.22465/kjuo.2016.14.3.152
  6. Interleukin-10 Polymorphisms in Association with Prognosis in Patients with B-Cell Lymphoma Treated by R-CHOP vol.14, pp.4, 2016, https://doi.org/10.5808/gi.2016.14.4.205
  7. Clinical significance of incidentally detected bladder wall thickening on computed tomography vol.49, pp.2, 2016, https://doi.org/10.1007/s11255-016-1458-x
  8. The association between artificial light at night and prostate cancer in Gwangju City and South Jeolla Province of South Korea vol.34, pp.2, 2017, https://doi.org/10.1080/07420528.2016.1259241
  9. Prognostic impact of fibroblast growth factor receptor 2 gene amplification in patients receiving fluoropyrimidine and platinum chemotherapy for metastatic and locally advanced unresectable gastric vol.8, pp.20, 2016, https://doi.org/10.18632/oncotarget.12953
  10. Telomere length is correlated with mitochondrial DNA copy number in intestinal, but not diffuse, gastric cancer vol.14, pp.1, 2016, https://doi.org/10.3892/ol.2017.6197
  11. Use of a Combined Gene Expression Profile in Implementing a Drug Sensitivity Predictive Model for Breast Cancer vol.49, pp.1, 2016, https://doi.org/10.4143/crt.2016.085
  12. Postablation Endometrial Carcinoma vol.21, pp.2, 2016, https://doi.org/10.4293/jsls.2017.00011
  13. Efficacy of fluoropyrimidine-based chemotherapy in patients with advanced biliary tract cancer after failure of gemcitabine plus cisplatin: retrospective analysis of 321 patients vol.116, pp.5, 2017, https://doi.org/10.1038/bjc.2016.446
  14. Endoscopic Thyroidectomy Via the Cervico-axillary Approach for Thyroid Cancer: Initial Experience in a Single Institute vol.17, pp.1, 2016, https://doi.org/10.16956/kjes.2017.17.1.19
  15. Molecular Testing for Gastrointestinal Cancer vol.51, pp.2, 2016, https://doi.org/10.4132/jptm.2017.01.24
  16. 수술 후 대장암 환자의 재원기간 운동중재 효과검증: Pilot Randomized Controlled Trial (RCT) Study vol.17, pp.1, 2016, https://doi.org/10.5388/aon.2017.17.1.29
  17. Role of adjuvant radiotherapy for localized extrahepatic bile duct cancer vol.90, pp.1071, 2016, https://doi.org/10.1259/bjr.20160807
  18. The prognostic value of BAP1, PBRM1, pS6, PTEN, TGase2, PD-L1, CA9, PSMA, and Ki-67 tissue markers in localized renal cell carcinoma: A retrospective study of tissue microarrays using immunohistochemi vol.12, pp.6, 2016, https://doi.org/10.1371/journal.pone.0179610
  19. A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients vol.15, pp.6, 2016, https://doi.org/10.3892/mmr.2017.6530
  20. Survival outcomes after extensive cytoreductive surgery and selective neoadjuvant chemotherapy according to institutional criteria in bulky stage IIIC and IV epithelial ovarian cancer vol.28, pp.4, 2017, https://doi.org/10.3802/jgo.2017.28.e48
  21. Cholecystectomy can increase the risk of colorectal cancer: A meta-analysis of 10 cohort studies vol.12, pp.8, 2017, https://doi.org/10.1371/journal.pone.0181852
  22. Estimated future incidence of malignant mesothelioma in South Korea: Projection from 2014 to 2033 vol.12, pp.8, 2016, https://doi.org/10.1371/journal.pone.0183404
  23. Programmed death ligand-1 and MET co-expression is a poor prognostic factor in gastric cancers after resection vol.8, pp.47, 2017, https://doi.org/10.18632/oncotarget.19390
  24. Incidence and mortality of kidney cancer: temporal patterns and global trends in 39 countries vol.7, pp.None, 2016, https://doi.org/10.1038/s41598-017-15922-4
  25. Risk factors for feelings of sadness and suicide attempts among cancer survivors in South Korea: findings from nationwide cross-sectional study (KNHANES IV–VI) vol.7, pp.12, 2016, https://doi.org/10.1136/bmjopen-2017-016130
  26. Second primary colorectal cancer among endometrial cancer survivor: shared etiology and treatment sequelae vol.144, pp.5, 2016, https://doi.org/10.1007/s00432-018-2599-3
  27. Clinical significance of overexpression of NRG1 and its receptors, HER3 and HER4, in gastric cancer patients vol.21, pp.2, 2016, https://doi.org/10.1007/s10120-017-0732-7
  28. Epidemiology of Intracranial Metastases in Korea: A National Cohort Investigation vol.50, pp.1, 2016, https://doi.org/10.4143/crt.2017.072
  29. Thirty Years Cancer Incidence Data for Lahore, Pakistan: Trends and Patterns 1984-2014 vol.19, pp.3, 2016, https://doi.org/10.22034/apjcp.2018.19.3.709
  30. Androgen receptor as a prognostic biomarker and therapeutic target in uterine leiomyosarcoma vol.29, pp.3, 2018, https://doi.org/10.3802/jgo.2018.29.e30
  31. Molecular Screening of Small Biopsy Samples Using Next-Generation Sequencing in Korean Patients with Advanced Non-small Cell Lung Cancer: Korean Lung Cancer Consortium (KLCC-13-01) vol.52, pp.3, 2016, https://doi.org/10.4132/jptm.2018.03.12
  32. Trend Analysis for the Choice and Cost of Lung Cancer Treatment in South Korea, 2003-2013 vol.50, pp.3, 2018, https://doi.org/10.4143/crt.2017.050
  33. Lung Cancer Screening with Low-Dose CT in Female Never Smokers: Retrospective Cohort Study with Long-term National Data Follow-up vol.50, pp.3, 2016, https://doi.org/10.4143/crt.2017.312
  34. Efficacy of a clinical pathway for patients with thyroid cancer vol.40, pp.9, 2016, https://doi.org/10.1002/hed.25175
  35. Relationship of Prostate-Specific Antigen Level With Obesity Indices in Korean Middle-Aged Population vol.16, pp.3, 2016, https://doi.org/10.22465/kjuo.2018.16.3.103
  36. Impact of hospital care volume on clinical outcomes of laparoscopic radical hysterectomy for cervical cancer : A systematic review and meta-analysis vol.97, pp.49, 2016, https://doi.org/10.1097/md.0000000000013445
  37. Complete cure of advanced hepatocellular carcinoma with right adrenal gland metastasis and portal vein thrombosis by multiple applications of an interdisciplinary therapy: Case report with 8-year foll vol.24, pp.4, 2018, https://doi.org/10.3350/cmh.2017.0032
  38. Licochalcone H induces the apoptosis of human oral squamous cell carcinoma cells via regulation of matrin 3 vol.41, pp.1, 2016, https://doi.org/10.3892/or.2018.6784
  39. Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2016 vol.51, pp.2, 2016, https://doi.org/10.4143/crt.2019.138
  40. Is androgen deprivation therapy associated with cerebral infarction in patients with prostate cancer? A Korean nationwide population‐based propensity score matching study vol.8, pp.9, 2016, https://doi.org/10.1002/cam4.2325
  41. The effects of BRCA1 expression on the chemosensitivity of gastric cancer cells to platinum agents vol.17, pp.6, 2019, https://doi.org/10.3892/ol.2019.10169
  42. Association between De Ritis ratio (aspartate aminotransferase/alanine aminotransferase) and oncological outcomes in bladder cancer patients after radical cystectomy vol.19, pp.None, 2016, https://doi.org/10.1186/s12894-019-0439-7
  43. Epigenetic inactivation of HOXD10 is associated with human colon cancer via inhibiting the RHOC/AKT/MAPK signaling pathway vol.17, pp.1, 2016, https://doi.org/10.1186/s12964-018-0316-0
  44. Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer vol.145, pp.12, 2016, https://doi.org/10.1007/s00432-019-03048-1
  45. Adolescent overweight and obesity and the risk of papillary thyroid cancer in adulthood: a large-scale case-control study vol.10, pp.None, 2020, https://doi.org/10.1038/s41598-020-59245-3
  46. Pre-transplant Dementia is Associated with Poor Survival After Hematopoietic Stem Cell Transplantation: A Nationwide Cohort Study with Propensity Score Matched Control vol.19, pp.2, 2016, https://doi.org/10.9758/cpn.2021.19.2.294
  47. Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning vol.34, pp.3, 2021, https://doi.org/10.1007/s10278-021-00455-0