Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
권호 표지
DOI QR코드

DOI QR Code

Time Trends of Ovarian Cancer Incidence in China

  • Wang, Bing (Department of Internal Neurology, Henan Provincial People's Hospital) ;
  • Liu, Shu-Zheng (Henan Cancer Research and Control Office, Henan Cancer Hospital) ;
  • Zheng, Rong-Shou (National office for Cancer Prevention and Control, Cancer Institute, Chinese Academy of Medical Sciences) ;
  • Zhang, Fang (The Human Resource Department, the First Affiliated Hospital of Henan University of TCM) ;
  • Chen, Wan-Qing (National office for Cancer Prevention and Control, Cancer Institute, Chinese Academy of Medical Sciences) ;
  • Sun, Xi-Bin (Henan Cancer Research and Control Office, Henan Cancer Hospital)
  • Published : 2014.01.15
Download PDF
⟨ Previous Next ⟩

Abstract

The aim of this study was to examine the trend of ovary cancer incidence from 1999 to 2010 in China and predict the burden up to 2020. Crude incidence, age specific incidence and age-adjusted incidence rates were calculated. Joinpoint regression was performed to obtain estimated annual percentages and Bayesian age-period-cohort modeling was used to predict the incidence rate until the year 2020. In China, the crude rate of ovary cancer was 7.91/100,000 and the age-adjusted rate was 5.35/100,000 overall during period 1999-2010. The rates in urban regions were higher than in rural regions. A significant rising trend during 1999-2006 was followed by a drop during 2006-2010 in age-adjusted rates for urban females. In contrast, constant rise was observed in rural women. The decrease in ovary cancer of urban areas tended to be restricted to women aged 50 years and younger. In contrast, increases of ovary cancer in rural areas appeared in virtually all age groups. Although the age-adjusted incidence rate for ovary cancer was predicted to be reduced after year 2011, the crude rate was likely to be relative stable up to 2020. The burden of ovary cancer in China will continue to be relative stable due to the aging population.

Keywords

References

  1. Bray F, Loos AH, Tognazzo S, et al (2005). Ovarian cancer in Europe: Cross-sectional trends in incidence and mortality in 28 countries, 1953-2000. Int J Cancer, 113, 977-90. https://doi.org/10.1002/ijc.20649
  2. Brennan P, Bray I (2002). Recent trends and future directions for lung cancer mortality in Europe. Br J Cancer, 87, 43-8. https://doi.org/10.1038/sj.bjc.6600352
  3. Jemal A, Bray F, et al (2011). Global cancer statistics. CA Cancer J Clin, 61, 69-90. https://doi.org/10.3322/caac.20107
  4. Jin F, Shu XO, Devesa SS, et al (1993). Incidence trends for cancers of the breast, ovary, and corpus uteri in urban Shanghai, 1972-89. Cancer Causes Control, 4, 355-60. https://doi.org/10.1007/BF00051338
  5. Kim HJ, Fay MP, Feuer EJ, et al (2000). Permutation tests for joinpoint regression with applications to cancer rates. Stat Med, 19, 335-51. https://doi.org/10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
  6. Kim K, Zang R, Choi SC, et al (2009). Current status of gynecological cancer in China. J Gynecol Oncol, 20, 72-6. https://doi.org/10.3802/jgo.2009.20.2.72
  7. Lowe KA, Chia VM, Taylor A, et al (2013). An international assessment of ovarian cancer incidence and mortality. Gynecol Oncol, 130, 107-14. https://doi.org/10.1016/j.ygyno.2013.03.026
  8. Marugame T, Hirabayashi Y (2007). Comparison of time trends in ovary cancer incidence (1973-1997) in East Asia, Europe, and the USA, from Cancer Incidence in Five Continents Vols IV VIII. Jpn J Clin Oncol 37, 802-3. https://doi.org/10.1093/jjco/hym141
  9. Parkin DM, Bray F, Ferlay J, et al (2005). Global cancer statistics, 2002. CA Cancer J Clin, 55, 74-108. https://doi.org/10.3322/canjclin.55.2.74
  10. Salehi F, Dunfield L, Phillips KP, et al (2008). Risk factors for ovarian cancer: an overview with emphasis on hormonal factors. J Toxicol Environ Health B Crit Rev, 11, 301-21. https://doi.org/10.1080/10937400701876095
  11. Schmid VJ, Held L (2007). Bayesian age-period-cohort modeling and prediction-BAMP. J Stat Software, 21, 1.
  12. Wong KH, Mang OW, Au KH, et al (2012). Incidence, mortality, and survival trends of ovarian cancer in Hong Kong, 1997 to 2006: a population-based study. Hong Kong Med J, 18, 466-74.

Cited by

  1. Recreational Physical Activity and Risk of Ovarian Cancer: a Meta-analysis vol.15, pp.13, 2014, https://doi.org/10.7314/APJCP.2014.15.13.5161
  2. Additive Properties of Crude, Age Specific and Age Adjusted Rates for Cancer Incidence and Mortality vol.15, pp.13, 2014, https://doi.org/10.7314/APJCP.2014.15.13.5407
  3. Proportion of Ovarian Cancers in Overall Ovarian Masses in Thailand vol.15, pp.18, 2014, https://doi.org/10.7314/APJCP.2014.15.18.7929
  4. Risk Factors for Appendiceal Metastasis with Epithelial Ovarian Cancer vol.15, pp.6, 2014, https://doi.org/10.7314/APJCP.2014.15.6.2689
  5. Overexpression of TRPM7 is Associated with Poor Prognosis in Human Ovarian Carcinoma vol.15, pp.9, 2014, https://doi.org/10.7314/APJCP.2014.15.9.3955
  6. Ovarian Cancer in Iranian Women, a Trend Analysis of Mortality and Incidence vol.15, pp.24, 2015, https://doi.org/10.7314/APJCP.2014.15.24.10787
  7. Application of Multiplex Nested Methylated Specific PCR in Early Diagnosis of Epithelial Ovarian Cancer vol.16, pp.7, 2015, https://doi.org/10.7314/APJCP.2015.16.7.3003
  8. What is the Most Suitable Time Period to Assess the Time Trends in Cancer Incidence Rates to Make Valid Predictions - an Empirical Approach vol.16, pp.8, 2015, https://doi.org/10.7314/APJCP.2015.16.8.3097
  9. Cancer statistics in China, 2015 vol.66, pp.2, 2016, https://doi.org/10.3322/caac.21338
  10. Prevalence and its associated psychological variables of symptoms of depression and anxiety among ovarian cancer patients in China: a cross-sectional study vol.15, pp.1, 2017, https://doi.org/10.1186/s12955-017-0738-1
  11. Ovarian cancer: density equalizing mapping of the global research architecture vol.16, pp.1, 2017, https://doi.org/10.1186/s12942-016-0076-2
  12. Epidemiology and treatment patterns of epithelial ovarian cancer vol.17, pp.5, 2017, https://doi.org/10.1080/14737140.2017.1299575
  13. Comparative Gene Expression Analysis of Lymphocytes Treated with Exosomes Derived from Ovarian Cancer and Ovarian Cysts vol.8, pp.1664-3224, 2017, https://doi.org/10.3389/fimmu.2017.00607
  14. Medical therapy for preventing recurrent endometriosis after conservative surgery: a cost-effectiveness analysis pp.14700328, 2017, https://doi.org/10.1111/1471-0528.14786
  15. High Levels of KAP1 Expression Are Associated with Aggressive Clinical Features in Ovarian Cancer vol.16, pp.1, 2015, https://doi.org/10.3390/ijms16010363
  16. Microarray expression profiling of long non-coding RNAs in epithelial ovarian cancer vol.14, pp.2, 2017, https://doi.org/10.3892/ol.2017.6448
  17. Association between average daily television viewing time and the incidence of ovarian cancer: findings from the Japan Collaborative Cohort Study vol.29, pp.2, 2018, https://doi.org/10.1007/s10552-018-1001-8
  18. Potential Significance of Peptidome in Human Ovarian Cancer for Patients With Ascites vol.28, pp.2, 2018, https://doi.org/10.1097/IGC.0000000000001166
  19. MicroRNA-508 suppresses epithelial-mesenchymal transition, migration, and invasion of ovarian cancer cells through the MAPK1/ERK signaling pathway vol.119, pp.9, 2018, https://doi.org/10.1002/jcb.27052