Correlation of Some Biochemical Parameters between Serumand Saliva of Patients with Breast Cancer
- 1 Department of Medical Laboratory Sciences, Al-Ahliyya Amman University, Jordan
- 2 Department of Biological Sciences, Mutah University, Jordan
Abstract
Regular breast cancer laboratory examination of serum is aburden on patients, therefore understanding salivary test methods' featuresand limits is important for diagnosis. The study aims to evaluate thebiochemical parameters in the serum and saliva of breast cancer and controlindividuals. Furthermore, to investigate the correlation between two biofluidlevels in both groups. This cross-sectional study recruited Jordanian femalesincluding 40 breast cancer patients and 20 control individuals in Al-BasheerHospital. Data was collected using a questionnaire and laboratoryexaminations of serum and unstimulated saliva samples. Statistical analyseswere performed by PRISM software. The analysis of the biochemicalparameters (Total protein, Albumin, Calcium, Alanine transaminase,Aspartate transaminase, Alkaline phosphatase, Lactate dehydrogenase,Gamma-glutamyl transferase, Uric acid, and Urea) used Pearson'scorrelation coefficient and One-way ANOVA. All serum and salivarybiochemical parameters showed no significant differences in breast cancerpatients compared to the control group, while salivary AST, serum LDH,and serum urea levels were significantly higher in breast cancer patientscompared to the control group. Biomarkers could be useful bioindicators forbreast cancer. However, parameters of serum LDH, urea, and salivary ASTlevels had a potential role in breast cancer monitoring.
DOI: https://doi.org/10.3844/ojbsci.2025.448.459
Copyright: © 2025 Omar Atrooz and Huthaifa Tarawneh. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- 21 Views
- 6 Downloads
- 0 Citations
Download
Keywords
- Malignant Tumor
- Genetic Factor
- Enzyme Levels
- Biochemical Markers
- One-Way ANOVA