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KMID : 1138720220480040033
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Korean Public Health Research
2022 Volume.48 No. 4 p.33 ~ p.50
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Factors Affecting Death of Breast Cancer Patients using -Data from the Collaborative Staging Central Cancer Registry
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Kweon Hyun-Joo
Lee Won-Jae
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Abstract
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Objectives: The purpose of this study is identifing factors affecting mortality through Collaborative Stage (CS) by big data analysis of breast cancer patients.
Methods: A total of 14,900 breast cancer patients were used by linking the Collaborative Stage (CS) data of the Central Cancer Registry of National Cancer Center (2010-2017) and the death data of the National Statistical Office. A chi-square independence test was performed to analyze the factors affecting mortality due to breast cancer, and multivariate logistic regression analysis was performed to identify risk factors for death.
Result: Factors influencing breast cancer mortality in women include age, primary site, CS Extension, Regional Nodes Positive, CS Tumor Size, CS Mets Dx, AJCC-7 stage, SEER stage, triple negative status, site-specific factors SSF01, SSF02, SSF03, SSF04, SSF05, SSF16, SSF019, and SSF20 were statistically significant (p<.001). As a result of analysis of factors affecting the risk of breast cancer death, age, primary site, CS Extension, Regional Nodes Positive, CS Tumor Size, AJCC-7 Stage, site-specific factors SSF07, SSF09, SSF15, triple negative status, survival period was analyzed to have an effect.
Conclusion: Big data analysis on risk factors for women with breast cancer death using Collaborative staging (CS) should be used as basic data for cancer management policies.
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KEYWORD
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Collaborative Stage, AJCC-7th Stage, SEER summary stage, Triple Negative
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