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Association between serum Vitamin D levels and prognostic factors in nonmetastatic breast cancer patients.
- Source :
-
Journal of Research in Medical Sciences . Jul2022, Vol. 27 Issue 7, p1-6. 6p. - Publication Year :
- 2022
-
Abstract
- Background: Breast cancer is among the most common malignancies in women around the world. There is evidence of high prevalence of serum/blood Vitamin D deficiency in Iranian women. Considering the multitude of factors that may be involved in the prognosis and lifespan of breast cancer patients, this study investigated the level of Vitamin D in Iranian patients with nonmetastatic breast cancer. Materials and Methods: This cross-sectional study was carried out on 214 women diagnosed with breast cancer, who were referred to the radio-oncology department. Serum Vitamin D level of the patients was measured. Prognostic factors were determined based on demographic and pathological characteristics. The results were analyzed using descriptive statistics tests, Chi-square, one-way analysis of variance, Kaplan-Meier, and Cox regression model in SPSS v22. For all cases, the significance level was considered to be P < 0.05. Results: The total mean of 25-hydroxyvitamin D serum level was 25.15 ± 17.68 ng/ml. There was no significant relationship between levels of Vitamin D with disease stage, tumor size, tumor grade, estrogen receptor, progesterone receptor, and Human epidermal growth factor receptor 2 (P > 0.05). The mean survival time was 5 years and 45 days. Conclusion: No relationship was found between serum Vitamin D levels and the factors affecting the prognosis of nonmetastatic breast cancer. The Cox analysis showed that the survival time was not influenced by Vitamin D as a prognosis factor. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BREAST cancer prognosis
*CROSS-sectional method
*CALCITRIOL
*ONE-way analysis of variance
*REGRESSION analysis
*VITAMIN D
*CANCER patients
*SURVIVAL analysis (Biometry)
*CHI-squared test
*KAPLAN-Meier estimator
*DESCRIPTIVE statistics
*SOCIODEMOGRAPHIC factors
*DATA analysis software
*WOMEN'S health
*PROPORTIONAL hazards models
Subjects
Details
- Language :
- English
- ISSN :
- 17351995
- Volume :
- 27
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Journal of Research in Medical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 159955178
- Full Text :
- https://doi.org/10.4103/jrms.jrms_951_21