Aim To determine differences in quantitative traits of digital dermatoglyphics between breast cancer women and the women in the control group (healthy women). Methods This case-control study included digital dermatoglyphics of 50 patients with confirmed breast cancer diagnosis compared with 50 healthy examinees with the absence of familial history of any type of cancer. Collecting samples was performed among Bosnian-Herzegovinian population by Printake method. The comparison of the mean values between the examined groups was made by the Student's t-test and Mann-Whitney U test. Results The results showed that, with regards to the pattern intensity, no statistically significant difference was detected between the two examined groups (p>0.05).The absence of any significant difference in the number of papillary ridges on an individual finger between the breast cancer patients and the control group was found (p>0.05), although the total number of papillary ridges on all ten fingers had somewhat lower values in the examined group. Conclusion This research confirms the existence of genetic predisposition for breast cancer development, emphasizing the relevance of hereditary factors in the ethiopathogenesis of this disease. The quantitative traits of digital dermatoglyphics were not a reliable and predictive tool for detecting a potential risk for breast cancer in small populations.
Stajduhar E, Sedic M, Lenicek T, Radulovic P, Kerenji A, Kruslin B, et al. Expression of growth hormone receptor, plakoglobin and NEDD9 protein in association with tumour progression and metastasis in human breast cancer. Tumour Biol. 2014. p. 6425–34.
2.
Ghoncheh M, Pournamdar Z, Salehiniya H. Incidence and mortality and epidemiology of breast cancer in the world. Asian Pac J Cancer Prev. 2016. p. 43–6.
3.
Bešlija S, Vrbanec D. Medicinski fakultet Univerziteta u Sarajevu. 2014.
4.
López-Urrutia E, Salazar-Rojas V, Brito-Elías L, Coca-González M, Silva-García J, Sánchez-Marín D, et al. BRCA mutations: is everything said? Breast Cancer Res Treat. 2019. p. 49–54.
5.
Domchek S, Greenberg R. Breast cancer gene variants: separating the harmful from the harmless. J Clin Invest. 2009. p. 2895–7.
6.
Palacios J, Robles-Frias M, Castilla M, Lopez-Garcia M, Benitez J. The molecular pathology of hereditary breast cancer. Pathobiology. 2008. p. 85–94.
7.
Paranjape V, Kundalkar A, Swamy P, Kulkarni Y. Digital dermatoglyphics in carcinoma breast. Int J Cur Res Rev. 2015. p. 47–52.
8.
Yang X, Xiaojun J, Yixuan Z, Hui L. Genetic rules for the dermatoglyphics of human fingertips and their role in spouse selection: a preliminary study. Springerplus. 2016. p. 1396.
9.
Jindal G, Pandey R, Gupta S, Sandhu M. A comparative evaluation of dermatoglyphics in different classes of malocclusion. Saudi Dent J. 2015. p. 88–92.
10.
Eslami N, Jahanbin A, Ezzati A, Banihashemi E, Kianifar H. Can dermatoglyphics be used as a marker for predicting future malocclusions? Electron Physician. 2016. p. 1927–32.
11.
Sariri E, Kashanin M, Vahdat M, Yari S. Comparasion of the dermatoglyphic characteristics of women with and without breast cancer. Eur J Obstet Gynecol Reprod Biol. 2012. p. 201–4.
12.
Musanovic J, Metovic A, Husremovic F, Bejic S, Haskovic A, Babic A, et al. Qualitative analysis of digital dermatoglyphics in asmall patients group in Bosnia and Herzegovina. J. Evolution Med Dent Sci. 2019. p. 1415–8.
13.
Manikandan S, Devishamani L, Vijayakumar S, Palanisamy G, Ponnusamy P, Jayakar L, et al. Dermatoglyphics and their relationship with blood group: an exploration. J Pharm Bioallied Sci. 2019. p. 285–8.
14.
Nelson H, Zakher B, Cantor A, Fu R, Griffin J, Meara O, et al. Risk factors for breast cancer for women aged 40 to 49 years: A systematic review and metaanalysis. Ann Intern Med. 2012. p. 635–48.
15.
Ramani P, Abhilash P, Sherlin J, Anuja N, Premkumar P, Chandrasekar T, et al. Conventional dermatoglyphics-revived concept. Int J Pharma Bio Sci. 2011. p. 446–58.
16.
Shakibaei F, Asadollahi G, Tabibi A. Dermatoglyphics in patients with schizophrenia. J Res Med Sci. 2011. p. 1055–61.
17.
Miličić J, Petković B, Božikov Z, J. Dermatoglyphs of digito-palmar complex in autistic disorder: family analysis. Croatian Medical Journal. 2003. p. 469–76.
18.
Chintamani R, Khandelwal R, Mittal A, Saijanani S, Tuteja A, Bansal A, et al. Qualitative and quantitative dermatoglyphic traits in patients with breast cancer: a prospective clinical study. BMC Cancer. 2007. p. 1–6.
19.
Hassey E, Dow K. Pocket Guide to Breast Cancer. Jones and Bartlett; 2005.
20.
Sukre S, Laeeque M, Mahajan A, Shewale S. Dermatoglyphics in the identification of women either with or at risk for breast cancer. Int J Basic Medical Science. 2012. p. 160–5.
21.
Lavanya J, Saraswathi P, Vijayakumar J, Prathap S. Analysis of dermatoglyphic traits in patients with breast cancer. J Pharm Biomed Sci. 2012. p. 2–5.
22.
Sridevi N, Wilma, Silvia D, Kulkarni C, Seshagiri R, C. Palmar dermatoglyphics in carcinoma breast of Indian women. Rom J Morphol Embryol. 2010. p. 547–50.
23.
Raizada A, Johri V, Ramnath T, Chowdhary D, Garg R. A cross-sectional study on the palmar dermatoglyphics in relation to carcinoma breast patients. J Clin Diagn Res. 2013. p. 609–12.
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