Breast Cancer Burden in Transition:A GBD 2023 Forecasting Analysis of Global Trajectories and Health System Implications for Southeast Asia, East Asia, and Oceania, 2024–2050
DOI:
https://doi.org/10.65166/fxd08j31Keywords:
breast cancer forecasting, GBD 2023, Southeast Asia East Asia and Oceania, health system preparedness, death-to-incidence ratio, early detection, oncology health system planning, Asia-Pacific cancer burden, universal health coverage, AI-assisted mammographyAbstract
Breast cancer is the most frequently diagnosed malignancy among females globally, and its projected burden through 2050 presents one of the most analytically consequential health system planning challenges of the coming decades. This paper presents a structured secondary data analysis of the Global Burden of Disease Study 2023 Breast Cancer Forecasts released by the Institute for Health Metrics and Evaluation in March 2026, covering projected female breast cancer incidence and mortality across eight global super-regions from 2024 to 2050. The analysis applies descriptive regional profiling, absolute burden trajectory analysis, age-standardized rate trajectory analysis, death-to-incidence ratio computation, and convergence-divergence assessment to characterize the global forecast landscape and position the burden trajectory of Southeast Asia, East Asia, and Oceania within it.
Globally, breast cancer incidence is projected to rise 52.1% — from approximately 2.34 million to 3.56 million annual cases — while deaths rise 74.7% from approximately 782,000 to 1.37 million between 2024 and 2050. Southeast Asia, East Asia, and Oceania, which carries the second largest absolute regional breast cancer burden globally, is projected to record an additional 241,000 annual cases and 98,000 annual deaths by 2050. The region's age-standardized incidence rate is rising from 35.6 to 40.9 per 100,000 females while the global average remains flat, indicating genuine epidemiological transition beyond demographic effects. Its death-to-incidence ratio is simultaneously rising from 29.6% to 33.1%, moving toward the current global average rather than converging on the high-income country benchmark of 24.6%, signaling that aggregate health system performance is not improving commensurately with the epidemiological transition underway.
Integrated with a thematic literature review spanning oncology infrastructure gaps, early detection evidence, digital health applications, and governance frameworks, the analysis identifies early detection infrastructure investment, universal health coverage financing, locally adapted AI diagnostic tools, and analytically informed workforce planning as the critical levers for intercepting the projected mortality trajectory in the region's lower-income sub-populations. The paper contributes forecast-anchored, decision-relevant health system planning intelligence for oncology administrators, health policymakers, and applied health analytics researchers serving the Asia-Pacific region.
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Copyright (c) 2026 Majie Liza Diwa, MD , Dr. Leah F. Quinto, Dr. Ramon George Atento (Author)
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