National and subnational population-based incidence of cancer in thailand: Assessing cancers with the highest burdens

• Main Authors: Shama Virani, Surichai Bilheem, Wasan Chansaard, Imjai Chitapanarux, Karnchana Daoprasert, Somsak Khuanchana, Atit Leklob, Donsuk Pongnikorn, Laura S. Rozek, Surattaya Siriarechakul, Krittika Suwanrungruang, Sukit Tassanasunthornwong, Patravoot Vatanasapt, Hutcha Sriplung
• Format: Journal
• Published: 2018
• Subjects: Biochemistry, Genetics and Molecular Biology; Medicine
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028920729&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/56723
• Institution: Chiang Mai University

© 2017 by the authors; licensee MDPI, Basel, Switzerland. In Thailand, five cancer types—breast, cervical, colorectal, liver and lung cancer— contribute to over half of the cancer burden. The magnitude of these cancers must be quantified over time to assess previous health policies and highlight future trajectories for targeted prevention efforts. We provide a comprehensive assessment of these five cancers nationally and subnationally, with trend analysis, projections, and number of cases expected for the year 2025 using cancer registry data. We found that breast (average annual percent change (AAPC): 3.1%) and colorectal cancer (female AAPC: 3.3%, male AAPC: 4.1%) are increasing while cervical cancer (AAPC: −4.4%) is decreasing nationwide. However, liver and lung cancers exhibit disproportionately higher burdens in the northeast and north regions, respectively. Lung cancer increased significantly in northeastern and southern women, despite low smoking rates. Liver cancers are expected to increase in the northern males and females. Liver cancer increased in the south, despite the absence of the liver fluke, a known factor, in this region. Our findings are presented in the context of health policy, population dynamics and serve to provide evidence for future prevention strategies. Our subnational estimates provide a basis for understanding variations in region-specific risk factor profiles that contribute to incidence trends over time.