{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T19:31:09Z","timestamp":1785871869563,"version":"3.56.0"},"reference-count":65,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T00:00:00Z","timestamp":1615852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Cancer is an important focus of public health worldwide. This study aims to provide a comprehensive overview of temporal trends in incidence and mortality of leading cancer in Guangzhou, China from 2004 to 2015.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data were collected from the population\u2010based registry in Guangzhou. Age\u2010standardized incidence rate (ASIR) and age\u2010standardized mortality rate (ASMR) were calculated and Joinpoint regression was used for evaluating the average annual percent changes (AAPC) among the entire study period and the estimated annual percent changes (EAPC) in time segments. The effects of age, period, and birth cohort were assessed by the age\u2013period\u2013cohort model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The age\u2010standardized incidence and mortality by the world standard population decreased significantly among males with AAPC of \u22121.7% (95% CI: \u22123.0%, 0.2%) and \u22122.7% (95% CI: \u22124.3%, \u22121.1%) for all malignancies during 2004\u20132015, while among females, the age\u2010standardized incidence had a non\u2010significant reduction with AAPC of \u22121.3% (95% CI: \u22122.8%, 0.2%) and the age\u2010standardized mortality demonstrated a remarkable decline (AAPC \u22122.0%, 95% CI: \u22123.6%, \u22120.3%). For males, the most commonly diagnosed cancers were trachea, bronchus, and lung (TBL), liver, colorectal, nasopharyngeal, stomach, and prostate cancer. For females, breast, TBL, colorectal, liver stomach, and thyroid cancer ranked the top. Unfavorable trends were observed in ASIR of colorectal, thyroid, and prostate cancer. APC models yielded different ages, periods, and birth cohort effect patterns by cancer sites.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Cancer burden remained a public health challenge in Guangzhou as the aging population and lifestyles changes, despite declines in incidence and mortality rates in some cancers. Surveillance of cancer trends contributed to valuable insights into cancer prevention and control.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.3744","type":"journal-article","created":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T11:16:04Z","timestamp":1615893364000},"page":"2865-2876","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Time trends of major cancers incidence and mortality in Guangzhou, China 2004\u20132015: A Joinpoint and Age\u2013Period\u2013Cohort Analysis"],"prefix":"10.1002","volume":"10","author":[{"given":"Ao","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Medical Statistics and Epidemiology School of Public Health Sun Yat\u2010sen University Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Dong","sequence":"additional","affiliation":[{"name":"Department of Cause of Death and Cancer Surveillance Guangzhou Center for Disease Control and Prevention Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics and Epidemiology School of Public Health Sun Yat\u2010sen University Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics and Epidemiology School of Public Health Sun Yat\u2010sen University Guangzhou China"},{"name":"Institute for Infectious Disease Control and Prevention Guangdong Provincial Center for Disease Control and Prevention Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binglun","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics and Epidemiology School of Public Health Sun Yat\u2010sen University Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"Government Affairs Service Center of Health Commission of Guangdong Province Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guozhen","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Cause of Death and Cancer Surveillance Guangzhou Center for Disease Control and Prevention Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8024-5312","authenticated-orcid":false,"given":"Yuantao","family":"Hao","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics and Epidemiology School of Public Health Sun Yat\u2010sen University Guangzhou China"},{"name":"Sun Yat\u2010sen Global Health Institute Sun Yat\u2010sen University Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,3,16]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2019.2996"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)32203-7"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(20)30073-5"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21551"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2018.07.005"},{"key":"e_1_2_9_8_1","volume-title":"Annual Report of Guangzhou Cancer Registration, 2017\u20132018","author":"Liu H","year":"2018"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(02)11403-6"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.30711"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.5732\/cjc.010.10377"},{"key":"e_1_2_9_12_1","volume-title":"The changing global burden of cancer: transitions in human development and implications for cancer prevention and control","author":"Bray F","year":"2015"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10147-008-0762-6"},{"issue":"2","key":"e_1_2_9_14_1","first-page":"443","article-title":"A Joinpoint regression analysis of long\u2010term trends in cancer mortality in Japan (1958\u20132004)","volume":"124","author":"Qiu D","year":"2009","journal-title":"Epidemiology"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-985X.2009.00580.x"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.2307\/2531004"},{"key":"e_1_2_9_17_1","doi-asserted-by":"crossref","DOI":"10.1201\/CHINTSTASER","volume-title":"Age\u2010Period\u2010Cohort Analysis: New Models, Methods and Empirical Applications","author":"Yang Y","year":"2013"},{"key":"e_1_2_9_18_1","unstructured":"International Agency for Research on Cancer.Cancer incidence in five continents Volumes I to XI. 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