Relationship between Calcification on Mammography and Human Epidermal Growth Factor Receptor 2 (HER-2) Expression in Breast Carcinoma

Zulfadli Zulfadli, Hari Soekersi, Raden Yohana, Birgitta M. Dewayani

Abstract


Background: Breast carcinoma shows over-expression of Human Epidermal Growth Factor Receptor 2 (HER-2) in 18 to 20% of the cases. This type of cancer is very progressive and has a poor prognosis. This study aimed to determine the association between the calcification on mammography with HER-2 expression in breast carcinoma as a marker of breast carcinoma aggressiveness.

Methods: This was an analytic observational study with a case-control design. Patients with breast carcinoma at the Department of Radiology and Department of Anatomical Pathology of Dr. Hasan Sadikin General Hospital Bandung from July–September 2019 were enrolled in this study. Samples were consecutively collected. The association of calcification on mammography and HER2 expression was analyzed using the Chi-square test.

Result: In total, 40 patients were included, consisting of 20 individuals with HER-2 positive and 20 individuals with HER-2 negative. The youngest was 40 years old and the oldest was 73 years old. Statistical test results showed that there was a significant association between calcifications in mammography and HER-2 expression (p-value = 0.0001, OR 13.22; 95% CI 2.7–62.6).

Conclusions: There is a significant association between calcification on mammography and HER-2 expression in breast carcinoma, suggesting that positive calcification mammography was 13.22 times higher in patients with HER-2 positive compared to patients with negative calcifications.


Keywords


Breast neoplasms,calcification, HER-2, mammography

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References


Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.

Tadwalkar RV, Rapelyea JA, Torrente J, Rechtman LR, Teal CB, McSwain AP, et al. Breast-specific gamma imaging as an modality for the diagnosis of invasive breast cancer with correlation to tumor size and grade. Br J Radiol. 2012;85(1014):e212–6.

Cai H, Huang Q, Rong W, Song Y, Li J, Wang J, et al. Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms. Comput Math Methods Med. 2019;2019:2717454.

Naseem M, Murray J, Hilton JF, Karamchandani J, Muradali D, Faragalla H, et al. Mammographic microcalcifications and breast cancer tumorigenesis: A radiologic-pathologic analysis. BMC Cancer. 2015;15:307.

Zonderland H, Smithuis R. Bi-RADS for mammography and ultrasound 2013. Netherlands: Radiology Assistant; 2014 [cited 2020 January 20] Available from https://radiologyassistant.nl/breast/bi-rads-for-mammography-and-ultrasound-2013

Nyante SJ, Lee SS, Benefield TS, Hoots TN, Henderson LM. The association between mammographic calcifications and breast cancer prognostic factors in a population-based registry cohort. Cancer. 2017:123(2):219–27.

Wiguna NIP, Manuaba IBTW. Karakteristik pemeriksaan imunohistokimia pada pasien kanker payudara di RSUP Sanglah periode 2003-2012. E-Jurnal Medika Udayana. 2012;3(7). [cited 2020 January 20] Available from: https://ojs.unud.ac.id/index.php/eum/article/view/9809

Elias SG, Adams A, Wisner DJ, Esserman LJ, Van’t Veer LJ, Mali WPThM, et al. Imaging features of HER2 Overexpression in Breast Cancer: A systematic Review and Meta-analysis. Cancer Epidemiol Biomarkers Prev. 2014;23(8):1464–83.

Wang X, Chao L, Chen L, Tian B, Ma G, Zang Y, et al. Correlation of mammographic calcifications with HER-2/neu overexpression in primary breast carcinomas. J Digit Imaging. 2008;21(2):170–6.

Rashmi S, Kamala S, Murhty SS, Kotha S, Rao YS, Chaudhary KV. Predicting the molecular subtype of breast cancer based on mammography and ultrasound findings. Indian J Radiol Imaging. 2018;28(3):354–61.

Jardines L, Goyal S, Fisher P, Royce M, Weitzel J, Royce M, Goldfarb SB. Breast cancer overview: risk factors, screening, genetic testing, and prevention. Cancer network. 2015 [cited 2020 January 20] Available from: https://www.cancernetwork.com/view/breast-cancer-overview-risk-factors-screening-genetic-testing-and-prevention

Kondov B, Milenkovikj Z, Kondov G, Petrushevska G, Basheska N, Bogdanovska-Todorovska M, et al. Presentation of the molecular subtypes of breast cancer detected by immunohistochemistry in surgically treated patients. Open Access Maced J Med Sci. 2018;6(6):961–7.




DOI: https://doi.org/10.15850/amj.v7n2.1963

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