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J Can Res Metastasis, Volume 3
September 16-17, 2019 | Edinburgh, Scotland
Volume 3
Breast Cancer 2019 & Cancer Science 2019
September 16-17, 2019
Journal of Cancer & Metastasis Research
BREAST CANCER
CANCER SCIENCE AND THERAPY
2
nd
World Congress on
&
Effects of overseas undergraduate clinical experience and service-learning opportunities
Bushra Sikander
Dow University of Health and Sciences, Pakistan
Background
: Breast cancer is the most common malignancy in females across the globe. Since breast tumour microenvironment
is bathed with a range of immune infiltrates, it is a potential, but largely unfathomed, candidate for immunotherapy. However,
exact mechanistic links between immune infiltrates and breast carcinogenesis are largely unclear. Moreover, leukocyte densities
at various stages of breast tumourigenesis are largely understudied. In this study, we have investigated immune cell densities of
leukocytes in breast cancer and correlated these with known prognostic factors.
Objective
: To investigate the microenvironment of breast cancer and enumerate the number and type of cells and analyze their
correlation with NPI and molecular sub-typing.
Methodology
: A total of 208 tissues were analyzed (104 cases and 104 controls). Breast cancer tissues were classified using
conventional histological sub-typing, molecular sub-typing (using α-ER, α-PgR and α-Her-2 antibodies) and NPI scoring.
Quantification of immune cells/mm2 was performed using H&E (for neutrophils), special stains (Giemsa for macrophages and
Toluidine blue for mast cells), α-CD3 antibodies (T-lymphocytes) and α-CD20 antibodies (B-lymphocytes). Data were entered
and analyzed using SPSS version 16. Correlation of immune cell densities with prognostic indices was investigated using t-test
and Fisher’s exact test. A p-value of <0.05 was considered as significant.
Results
: Our data demonstrate significantly increased infiltration of T-lymphocytes (p-value= 1.43×10-26), B-lymphocytes
(p-value= 2.13×10-17), neutrophils (p-value = 4.53×10-08) and mast cell (p-value=1.20×10-10), in breast cancer tissue
compared to controls. Moreover we demonstrate a significant association (p-value = 0.009) between tumour infiltrating CD3
T-lymphocytes and molecular sub-types of breast cancer i.e. luminal; A, B, Her2 overexpression and triple negative/basal like.
Importantly, we report increased T-lymphocytes infiltration in worst prognostic groups i.e. Triple negative and luminal B. Our
data also demonstrates that there is no significant association (p-value = >0.05) between NPI scoring and breast cancer associated
immune cells (T-lymphocytes, B-lymphocytes, neutrophils, macrophages and mast cells).
Conclusion: We reported the conventional breast tumour classification system, based primarily on grading and NPI scores, is
used routinely and has several advantages, is considerably limited in terms of identifying patients’ prognosis and therapeutic
options/outcomes. The increased infiltration of neutrophils, mast cells, T and B lymphocytes in breast tumour microenvironment
compared to the controls and specially increase in worst prognostic groups i.e. triple negative/basal like and luminal B tumours
is suggestive of their crucial role in breast tumourigenesis.
Biography
Bushra Sikander has completed M.Phil. (Histopathology), Dow University of Health & Sciences and. MBBS from Dow Medical College
(2004-2009). She has been honored with many academic professional certificates. Assistant Professor, Department of Pathology, Dow
University of Health and Sciences Pakistan. (Nov 2017 till date) With the research interest in Breast cancer, Tumor immunology, Tumor
microenvironment, Damage Associated Molecular Patterns (DAMP), Cancer registry.
bushra_sikandar@yahoo.com