Cancer Burden and Attributable Risk Factors of Cancers in China: Epidemiological Insights and Comparisons With India

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Abstract

Background

Cancer is a major health concern in China. Understanding the epidemiology of cancer can guide the development of effective prevention and control strategies. This study aimed to comprehensively analyze the cancer burden, time trends, and attributable risk factors of cancers in China and compare them with those in India.

Methods

We utilized the GLOBOCAN database for 2022, Cancer Incidence in Five Continents (C15 plus) series, and Global Burden of Disease (GBD) 2021 to extract data on cancer incidence, mortality, disability-adjusted life years (DALYs), and risk factors. Time-trend analysis was performed using a join-point regression model. Correlations between cancer DALY rates and risk factors were analyzed using linear regression.

Results

In 2022, China experienced 4,824,703 new cancer cases and 2,574,176 cancer-related deaths. Cancers also caused approximately 71.2 million DALYs in China in 2021. Compared with India, China has higher incidence, mortality, and DALY rates for various cancers. Breast and thyroid cancers in China have shown a rapid increase in the age-standardized incidence rate (ASIR), along with a substantial burden of lung, stomach, esophageal, and colorectal cancer. However, stomach and liver cancers in China showed a downward trend in ASIR. In 2021, diet low in milk was a major risk factor among females for colorectal cancer DALYs in China (23% of age-standardized DALYs) and India (22.9%). In China, smoking has been associated with increased DALYs due to lung cancer.

Conclusions

China has a heavier cancer burden than India. The heavy burden of lung, stomach, esophageal, and colorectal cancers, combined with the rising incidence of breast and thyroid cancers, pose a critical challenge to public health in China. Cancer burden may be reduced through public health initiatives that prioritize primary prevention, prompt identification, and therapeutic intervention.

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Most cited references 80

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Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Hyuna Sung, Jacques Ferlay, Rebecca Siegel … (2021)

This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.

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Cancer statistics in China, 2015.

Wanqing Chen, Rongshou Zheng, Peter D Baade … (2016)

With increasing incidence and mortality, cancer is the leading cause of death in China and is a major public health problem. Because of China's massive population (1.37 billion), previous national incidence and mortality estimates have been limited to small samples of the population using data from the 1990s or based on a specific year. With high-quality data from an additional number of population-based registries now available through the National Central Cancer Registry of China, the authors analyzed data from 72 local, population-based cancer registries (2009-2011), representing 6.5% of the population, to estimate the number of new cases and cancer deaths for 2015. Data from 22 registries were used for trend analyses (2000-2011). The results indicated that an estimated 4292,000 new cancer cases and 2814,000 cancer deaths would occur in China in 2015, with lung cancer being the most common incident cancer and the leading cause of cancer death. Stomach, esophageal, and liver cancers were also commonly diagnosed and were identified as leading causes of cancer death. Residents of rural areas had significantly higher age-standardized (Segi population) incidence and mortality rates for all cancers combined than urban residents (213.6 per 100,000 vs 191.5 per 100,000 for incidence; 149.0 per 100,000 vs 109.5 per 100,000 for mortality, respectively). For all cancers combined, the incidence rates were stable during 2000 through 2011 for males (+0.2% per year; P = .1), whereas they increased significantly (+2.2% per year; P < .05) among females. In contrast, the mortality rates since 2006 have decreased significantly for both males (-1.4% per year; P < .05) and females (-1.1% per year; P < .05). Many of the estimated cancer cases and deaths can be prevented through reducing the prevalence of risk factors, while increasing the effectiveness of clinical care delivery, particularly for those living in rural areas and in disadvantaged populations.

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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Christopher J L Murray, Aleksandr Y Aravkin, Peng Zheng … (2022)

Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.

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Author and article information

Journal

Journal ID (nlm-ta): Cancer Control

Journal ID (iso-abbrev): Cancer Control

Journal ID (hwp): spccx

Journal ID (publisher-id): CCX

Title: Cancer Control : Journal of the Moffitt Cancer Center

Publisher: SAGE Publications (Sage CA: Los Angeles, CA )

ISSN (Print): 1073-2748

ISSN (Electronic): 1526-2359

Publication date (Electronic): 6 September 2024

Publication date Collection: Jan-Dec 2024

Volume: 31

Electronic Location Identifier: 10732748241276674

Affiliations

[1 ]Cancer Institute, Ringgold 609245, universityThe Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital; , Shijiazhuang, China

Author notes

[*]Yutong He, Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, Shijiazhuang 050011, China. Email: heyutong@ 123456hebmu.edu.cn

Data Availability Statement included at the end of the article

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Syed Adnan Rahmat https://orcid.org/0009-0000-5108-8135

Article

Publisher ID: 10.1177_10732748241276674

DOI: 10.1177/10732748241276674

PMC ID: 11380140

PubMed ID: 39240012

SO-VID: b63ff641-07dc-4a02-a6a7-8e1c6a9c3b3e

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This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

History

Date received : 17 May 2024

Date revision received : 2 July 2024

Date accepted : 2 August 2024

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cover-date January-December 2024

Keywords: incidence,mortality,neoplasms,epidemiology,risk factors

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Keywords: incidence, mortality, neoplasms, epidemiology, risk factors

Cancer Burden and Attributable Risk Factors of Cancers in China: Epidemiological Insights and Comparisons With India

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Cardiovascular Innovations and Applications

Most cited references 80

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Cancer statistics in China, 2015.

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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