Author(s)

Fanrui Sun ¹

Affiliation(s)

¹ College of Mathematical Science, Yangzhou University, Yangzhou, 225009, China

Corresponding Author

Fanrui Sun

ABSTRACT

Cancer has become a significant public health and disease challenge worldwide, and there is an urgent need to improve the treatment levels for cancer patients. This study focuses on the survival analysis of cancer, using historical data on patient characteristics including year of diagnosis, gender, ethnicity, and cancer type to create box plots and line graphs for an initial exploratory analysis of the differences between various categories of these factors and how they have changed over time. Further employing multifactor analysis of variance to investigate the differences in various categories of factors and their interactive combinations, the article compared and selected an interaction model that presents the disparities among factors. Notably, cancer type, ethnicity, and year significantly impact survival rates, while gender differences are less pronounced, with four significant interactive combinations identified. The Tukey test is then used to analyze the differences between different categories within gender and ethnicity. Based on the factors with significant differences identified in this study, healthcare professionals can tailor personalized treatment plans according to patient characteristics, which also aids medical institutions in optimizing the allocation of healthcare resources, thereby improving patients' quality of life and survival rates.

KEYWORDS

Cancer Survival Rate, Exploratory Analysis, Multifactor Analysis of Variance, Tukey Test

CITE THIS PAPER

Fanrui Sun, Pan-cancer Research Based on Survival Analysis and Multivariate Analysis of Variance. Transactions on Cancer (2024) Vol. 5: 87-94. DOI: http://dx.doi.org/10.23977/tranc.2024.050112.

REFERENCES

[1] Wang Jinsong, Wei Jiayan, Peng Min. Interpretation and enlightenment of 2023 American cancer statistics report and the latest global cancer statistics[J]. Journal of Practical Oncology, 2023, 38(6): 523-527.
[2] Liu, James Y., et al. "High-throughput screening of respiratory hazards: Exploring lung surfactant inhibition with 20 benchmark chemicals [J]." Toxicology 504 (2024): 153785.
[3] Zhang, Leilei, et al. "Exogenous curcumin mitigates as stress in spinach plants: a biochemical and metabolomics investigation [J]." Plant Physiology and Biochemistry (2024): 108713.
[4] Zuo, Yutong. "Research on Head Shape Optimization of High-speed Trains Based on Multifactor ANOVA and Streamlined Head Optimization CST Methods [J]." International Journal of Frontiers in Engineering Technology 6.1 (2024). 
[5] Akinbobola, Olawale, et al. "Outcomes of resected lung cancer diagnosed through screening and incidental pulmonary nodule programs in a Mississippi Delta cohort [J]." JTO Clinical and Research Reports (2024): 100684.

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