Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data

Lin, Yile; Li, Huiyang; Wu, Haixiao; Li, Shu; Abakumov, Maxim A.; Chekhonin, Vladimir P.; Peltzer, Karl; Abbas, Kirellos Said; Makatsariya, Alexander D.; Liu, Zheng; Zhang, Jin; Xue, Yuan; Zhang, Chao

doi:10.7150/jca.91758

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J Cancer 2024; 15(6):1613-1623. doi:10.7150/jca.91758 This issue Cite

Research Paper

Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data

Yile Lin^1,2,#, Huiyang Li^2,3,#, Haixiao Wu^2,4, Shu Li^2,5, Maxim A. Abakumov^2,6,7, Vladimir P. Chekhonin^2,7, Karl Peltzer^2,8, Kirellos Said Abbas^2,9, Alexander D. Makatsariya^2,10, Zheng Liu^2,11, Jin Zhang^2,4, Yuan Xue^1,✉, Chao Zhang^2,4,7,✉

1. Department of Orthopaedic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
2. The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
3. Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin Medical University General Hospital, Tianjin, China.
4. Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
5. Department of Public Service Management, School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
6. National University of Science and Technology (MISIS), Moscow, Russia.
7. Department of Medical Nanobiotechnology, N.I Pirogov Russian National Research Medical University, Moscow, Russia.
8. Department of Research & Innovation, University of Limpopo, Sovenga, Limpopo, South Africa.
9. Faculty of Medicine, Alexandria University, Alexandria, Egypt.
10. Department of Obstetrics, Gynecology and Perinatal Medicine, Filatov Clinical Institute of Children's Health, Sechenov University, Moscow, Russia.
11. Department of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
^#Yile Lin and Huiyang Li contributed equally to this work.

Citation:

Lin Y, Li H, Wu H, Li S, Abakumov MA, Chekhonin VP, Peltzer K, Abbas KS, Makatsariya AD, Liu Z, Zhang J, Xue Y, Zhang C. Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. J Cancer 2024; 15(6):1613-1623. doi:10.7150/jca.91758. https://www.jcancer.org/v15p1613.htm

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Abstract

Comprehensive analysis of mortality and causes of death (COD) in cancers was of importance to conduct intervention strategies. The current study aimed to investigate the mortality rate and COD among cancers, and to explore the disparities between age. Initially, cancer patients diagnosed between 2010 and 2019 from the surveillance, epidemiology, and end results (SEER) database were extracted. Then, frequencies and percentage of deaths, and mortality rate in different age groups were calculated. Meanwhile, age distribution of different COD across tumor types was illustrated while the standardized mortality ratios (SMR) stratified by age were calculated and visualized. A total of 2,670,403 death records were included and digestive system cancer (688,953 death cases) was the most common primary cancer type. The mortality rate increased by 5.6% annually in total death, 4.0% in cancer-specific death and 10.9% in non-cancer cause. As for cancer-specific death, the age distribution varied among different primary tumor types due to prone age and prognosis of cancer. The top five non-cancer causes in patients older than 50 were cardiovascular and cerebrovascular disease, other causes, COPD and associated conditions, diabetes as well as Alzheimer. The SMRs of these causes were higher among younger patients and gradually dropped in older age groups. Mortality and COD of cancer patients were heterogeneous in age group due to primary tumor types, prone age and prognosis of cancer. Our study conducted that non-cancer COD was a critical part in clinical practice as well as cancer-specific death. Individualized treatment and clinical intervention should be made after fully considering of the risk factor for death in different diagnosis ages and tumor types.

Keywords: Age, Cause of Death, SEER Program, Standardized Mortality Rate, Trend

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APA

Lin, Y., Li, H., Wu, H., Li, S., Abakumov, M.A., Chekhonin, V.P., Peltzer, K., Abbas, K.S., Makatsariya, A.D., Liu, Z., Zhang, J., Xue, Y., Zhang, C. (2024). Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. Journal of Cancer, 15(6), 1613-1623. https://doi.org/10.7150/jca.91758.

ACS

Lin, Y.; Li, H.; Wu, H.; Li, S.; Abakumov, M.A.; Chekhonin, V.P.; Peltzer, K.; Abbas, K.S.; Makatsariya, A.D.; Liu, Z.; Zhang, J.; Xue, Y.; Zhang, C. Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. J. Cancer 2024, 15 (6), 1613-1623. DOI: 10.7150/jca.91758.

NLM

CSE

Lin Y, Li H, Wu H, Li S, Abakumov MA, Chekhonin VP, Peltzer K, Abbas KS, Makatsariya AD, Liu Z, Zhang J, Xue Y, Zhang C. 2024. Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. J Cancer. 15(6):1613-1623.

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