IJAR.2018.446

Type of Article:  Original

Volume 7; Issue 1.2 (February 2019)

Page No.: 6225-6229

DOI: https://dx.doi.org/10.16965/ijar.2018.446

ASSESSMENT OF DIGITAL PATTERNS IN CARCINOMA BREAST PATIENTS OF MADHYA PRADESH

Prateek Shrivastava 1, Annapurna Bose *2.

1 Resident, Department of Anatomy, Mahatma Gandhi Memorial Medical College, Indore, Madhya Pradesh, India.

*2 Professor, Department of Anatomy, Mahatma Gandhi Memorial Medical College, Indore, Madhya Pradesh, India.

Corresponding author: Dr. Annapurna Bose Professor, Department of Anatomy, Mahatma Gandhi Memorial Medical College, Indore, Madhya Pradesh, India. E-Mail: pshrivastava015@gmail.com

ABSTRACT:

Background: Breast cancer is one of the most common cancer in females, it’s development has genetic basis which has been already established. Fingerprint patterns are also formed under genetic control early in development almost at the same period during the development of mammary buds .They do not change significantly thereafter, and thus remains almost same whole life. So these patterns may be evaluated as a non-invasive anatomical marker for breast cancer risk .

 Methodology: In this study assessment of the fingerprint patterns of both hands of 109 female breast cancer patients were taken and compared with the patterns of 109 age matched normal healthy females.The Patterns were obtained by Ink method in an A4 size white paper. Fingerprints patterns (arches,loops and whorls) and total finger ridge count of both the groups was studied and analysed.

Results: On statistical analysis it was observed that Whorl pattern are the significantly most common finger print pattern associated with breast cancer patients as compared to normal healthy females of Madhya Pradesh.

Conclusion: The finger print patterns are significantly associated with carcinoma breast and in a developing country like India it may serve as an inexpensive and effective tool for screening the high-risk population for breast cancer.

Key words: Dermatoglyphics , Digital Patterns , Breast Cancer, Total Finger Ridge Count.

REFERENCES

  1. Henry ER. Classification and uses of finger prints. 8thed. London: HM. Stationary Office 1937:1-45.
  2. Babler W. Embryologic development of epidermal ridges and their configurations. In: Dermatoglyphics: Science in transition. Birth defects (Edited by: CC P, RM G, BA S). Wiley-Liss: New York; 1991. p. 95-112.
  3. Moore K L , Persaud T V N ,Torchia M G.The Developing Human: Clinically oriented embryology. 9th Elsevier Publication;2016: 438.
  4. Moore K L , Persaud T V N , Torchia M G .The Developing Human: Clinically oriented embryology. 7th Elsevier Publication; 2004:492-3.
  5. Balgir RS.Congenital oral clefts and dermatoglyphics. ISRJ Med Sci 1984;20:622-4.
  6. Cummins H and Midlo WC. Fingerprints,Palms and Soles: An Introduction to Dermatoglyphics. 2nd edition. New York: Dover Publication. 1961:1-319.
  7. Schaumann B and Alter M. Dermatoglyphics in medical disorders. New York: Springer 1976:22-87.
  8. King MC, Go RCP, Elston RC, Lynch HT, Petrakis NL. Allele increasing susceptibility to human breast cancer may be linked to the glutamate pyruvate transaminase locus. Science 1980; 28:406-8.
  9. Huang C, Mi M. Digital dermal patterns in breast cancer. Proc Natl Sci Coune Repub China1987; 11:133-6.
  10. Seltzer MH, Plato CC, Fox KM. Dermatoglyphics in the identification ofwomen either with or at risk for breast cancer. Am J Med Genet. 1990 Dec;37(4):482-8.
  11. Engler et al. Digital dermatoglyphics and Breast cancer. Breast cancer research and treatment. 1982;2( 3):261-5.
  12. SakinehAbbasi, NahidEinollahi, NasrinDashti and VaezZadeh: Study of dermatoglyphics patterns of hands in women with breast cancer. Pak J Med Sci. January – March 2006;22(1):18-22.
  13. Chintamani et al. Qualitative and quantitative dermatoglyphic traits in patients with breast cancer: a prospective clinical study. BMC Cancer 2007 (Mar) ;7:44.
  14. S P Fulari, M M Pirzade, AshwiniJadhav. Study of dermatoglyphics in breast cancer. National Journal of Medical Sciences. 2012(JAN); 1(1):29-32.
  15. Seidman H M, Stellman S D, Mushinski M H. A different perspective on breast cancer risk factors: Some implications of the non attributable risk. Cancer Research .1982;32:301-313.
  16. Bierman HR, Faith MR, Stewart ME. Digital dermatoglyphics in mammary cancer.Cancer Invest. 1988;6(1):15-27.
  17. N S Sridevi, C R Wilma Delphine Silva, Roopa Kulkarni, C.Seshagiri. Romanian Journal of Morphology and Embryology. 2010;51(3):547-550.
  18. S B Sukhre, A A Mahajan. Dermatoglyphics in the identification of women either with or at risk for breast cancer. 51st journal of Anatomical society of India. 5(1); 2004-01; 2004-06.
  19. Fuller I C . Inherited predisposition to cancer? A dermatoglyphic study. Br J Cancer. 1973;28(2):186–189.

Cite this article: Prateek Shrivastava, Annapurna Bose. ASSESSMENT OF DIGITAL PATTERNS IN CARCINOMA BREAST PATIENTS OF MADHYA PRADESH. Int J Anat Res 2019;7(1.2):6225-6229. DOI: 10.16965/ijar.2018.446