Breast Pathology
The Center provides a range of diagnostic and predictive tests in breast pathology. One thousand core biopsies and over a thousand surgical excision cases are evaluated annually, mainly, for the National Cancer Institute as well as other healthcare units in Lithuania and Latvia.
Standard testing includes immunohistochemistry for Estrogen and Progesteron receptors, Ki-67, and Her-2/neu. HER2 bordeline cases are verified by HER2 FISH test.
Questions? ask@vpc.lt
Breast pathology is supervised by pathologist Rūta Barbora Valkiūnienė.
Research is focused on digital immunohistochemistry and FISH methodologies for precise assessment of the immunohistochemistry and FISH testing, including intratumour heterogeneity of biomarker expression: http://www.digitalpathology.mf.vu.lt/en/
Breast references:
1. Laurinavicius A, Plancoulaine B, Rasmusson A, Besusparis J, Augulis R, Meskauskas R, et al. Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma. Virchows Archiv. 2016;468(4):493-502.
2. Laurinavicius A, Plancoulaine B, Herlin P, Laurinaviciene A. Comprehensive Immunohistochemistry: Digital, Analytical and Integrated. Pathobiology. 2016;83(2-3):156-63.
3. Plancoulaine B, Laurinaviciene A, Herlin P, Besusparis J, Meskauskas R, Baltrusaityte I, et al. A methodology for comprehensive breast cancer Ki67 labeling index with intra-tumor heterogeneity appraisal based on hexagonal tiling of digital image analysis data. Virchows Archiv. 2015;467(6):711-22.
4. Laurinavicius A, Green AR, Laurinaviciene A, Smailyte G, Ostapenko V, Meskauskas R, et al. Ki67/SATB1 ratio is an independent prognostic factor of overall survival in patients with early hormone receptor-positive invasive ductal breast carcinoma. Oncotarget. 2015;6(38):41134-45.
5. Laurinavicius A, Plancoulaine B, Laurinaviciene A, Herlin P, Meskauskas R, Baltrusaityte I, et al. A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Breast Cancer Research. 2014;16(2).
6. Laurinavicius A, Laurinaviciene A, Ostapenko V, Dasevicius D, Jarmalaite S, Lazutka J. Immunohistochemistry profiles of breast ductal carcinoma: factor analysis of digital image analysis data. Diagnostic Pathology. 2012;7.
7. Laurinavicius A, Laurinaviciene A, Dasevicius D, Elie N, Plancoulaine B, Bor C, et al. Digital image analysis in pathology: Benefits and obligation. Analytical Cellular Pathology. 2012;35(2):75-8.