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Published on: May 17, 2019
Predictive Analysis of Palmar Dermatoglyphics in Patients with Breast Cancer for Small Bosnian-Herzegovinian
Azra Metovic1, Jasmin Musanovic1, Selma Alicelebic2
1Department of Biology with Human Genetics, Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Introduction:
Malignant breast cancer is the most common malignancy in women between 40 and 55 years of age. Dermatoglyphs are polygenetically determined properties, whose appearance and number are determined by a specific gene. They represent the skin reefs that are created by epidermis on the fingers or toes, palms and soles. Palmar dermatoglyphs have been used to estimate the hereditary basis of many diseases.
Aim:
The aim of the paper is to determine whether there is a statistically significant difference between the observed qualitative and quantitative parameters of both palms between the experimental and the control group.
Material And Methods:
A survey of the qualitative and quantitative properties of the palmar complex was carried out on a total of 100 female respondents. The first group included 50 women with breast cancer. Comparative data were used for the analysis of palmar dermatoglyphs in the second group of respondents, or 50 phenotypic healthy female subjects. The imprints of the palmar complex were taken using the printake ribbons, analyzed, and the data was then statistically processed and displayed in charts. An analysis of the number of reefs between two digital triradius was performed, followed by the determination of the axially triad position, as well as the ATD angle measurement.
Results:
Quantitative analysis of ATD-angle showed statistically significant difference between the left and right palms of the analyzed groups. However, the analysis of the number of reefs between triradius A-B, B-C, C-D did not show statistically significant results for both the left and right hand between the analyzed groups.
Conclusion:
These results indicate that the quantitative palmar parameter, ATD-angle, can play a role in identifying women with increased risk of breast cancer.
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