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Grant Details

Grant Number: 5R01CA194600-04 Interpret this number
Primary Investigator: Badve, Sunil
Organization: Indiana University Indianapolis
Project Title: (PQC3) Ethnicity-Determined Immune Response and Dcis Outcome
Fiscal Year: 2018


Abstract

 DESCRIPTION (provided by applicant): Breast cancer (BC) is a heterogeneous disease in which important associations have been established between different ethnic groups and subtypes of BC. These include the predisposition for premenopausal African Americans to develop aggressive triple negative cancers (tumors that lack expression of ER, PR, or HER2). Recent work by the PI (Badve) amongst others shows that quantifying tumor infiltrating lymphocytes (TILs) in breast cancer is prognostic, even in patients treated with chemotherapy. The immune response in invasive carcinoma is directed against tumor antigens as well as due to stromal damage and release of normally sequestered stromal antigens, whereas they are very likely to be restricted to tumor antigens in ductal carcinoma in situ. In response to PQ-C3, we propose that differences in the immune response genes are the basis of disparate outcomes and will determine the likelihood of invasive cancer development in the early stages of tumorigenesis. We further hypothesize that ethnic differences are critical determinants for the development of immune response profiles and could underpin the health disparities observed in different ethnic groups of breast cancer patients. Preliminary studies performed in collaboration with Singapore General Hospital and Oxford University have shown significant differences in the immune profile of DCIS lesions, which are associated with grade, supporting this hypothesis. To address PQC-3, we will develop ethnically well annotated cohorts of ductal carcinoma in situ (DCIS) patients using ancestry profiles (Aim 1).We further correlate established and novel immune response profiles in in "ethnicity annotated" cohorts of DCIS with ipsilateral breast events using novel multiplex immuno- fluorescence based- in situ analytic methods to enable colocalization analysis of the immune milieu (Aim 2). In parallel, we will perform novel targeted deep sequencing methods to identify novel immune response profiles in these ethnic cohorts and correlate the likelihood of ipsilateral invasive breast cancer development (Aim 3). Our multinational multidisciplinary team is well equipped to perform the necessary tasks and fully characterize the immune response profiles and correlation to clinical outcomes in early in early stages of breast cancer. At the completion of these studies, we expect to identify immune response profiles associated with the progression of DCIS to invasive cancer that are specific to the each ethnic group. Correlation of these immune profiles with outcome will enable us to use these immune response genes for risk stratification and disease progression in DCIS patients. This will lay the foundation to reduce invasive breast cancer in these populations.



Publications

Intraoperative assessment of axillary sentinel lymph nodes by telepathology.
Authors: Turashvili G. , Gjeorgjievski S.G. , Wang Q. , Ewaz A. , Ai D. , Li X. , Badve S.S. .
Source: Breast Cancer Research And Treatment, 2023 Dec; 202(3), p. 423-434.
EPub date: 2023-09-09 00:00:00.0.
PMID: 37688667
Related Citations

Predicting Breast Cancer Events in Ductal Carcinoma In Situ (DCIS) Using Generative Adversarial Network Augmented Deep Learning Model.
Authors: Ghose S. , Cho S. , Ginty F. , McDonough E. , Davis C. , Zhang Z. , Mitra J. , Harris A.L. , Thike A.A. , Tan P.H. , et al. .
Source: Cancers, 2023-03-23 00:00:00.0; 15(7), .
EPub date: 2023-03-23 00:00:00.0.
PMID: 37046583
Related Citations

Tumor Infiltrating Lymphocytes in Multi-National Cohorts of Ductal Carcinoma In Situ (DCIS) of Breast.
Authors: Badve S.S. , Cho S. , Lu X. , Cao S. , Ghose S. , Thike A.A. , Tan P.H. , Ocal I.T. , Generali D. , Zanconati F. , et al. .
Source: Cancers, 2022-08-13 00:00:00.0; 14(16), .
EPub date: 2022-08-13 00:00:00.0.
PMID: 36010908
Related Citations

Is conservative management of ductal carcinoma in situ risky?
Authors: Zheng L. , Gökmen-Polar Y. , Badve S.S. .
Source: Npj Breast Cancer, 2022-04-28 00:00:00.0; 8(1), p. 55.
EPub date: 2022-04-28 00:00:00.0.
PMID: 35484283
Related Citations

Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast.
Authors: Badve S.S. , Cho S. , Gökmen-Polar Y. , Sui Y. , Chadwick C. , McDonough E. , Sood A. , Taylor M. , Zavodszky M. , Tan P.H. , et al. .
Source: British Journal Of Cancer, 2021-01-07 00:00:00.0; , .
EPub date: 2021-01-07 00:00:00.0.
PMID: 33414541
Related Citations

Tumour-infiltrating lymphocytes in ductal carcinoma in situ (DCIS)-assessment with three different methodologies and correlation with Oncotype DX DCIS Score.
Authors: Komforti M. , Badve S.S. , Harmon B. , Lo Y. , Fineberg S. .
Source: Histopathology, 2020-06-17 00:00:00.0; , .
EPub date: 2020-06-17 00:00:00.0.
PMID: 32557780
Related Citations

National Cancer Institute Think-Tank Meeting Report on Proteomic Cartography and Biomarkers at the Single-Cell Level: Interrogation of Premalignant Lesions.
Authors: Kagan J. , Moritz R.L. , Mazurchuk R. , Lee J.H. , Kharchenko P.V. , Rozenblatt-Rosen O. , Ruppin E. , Edfors F. , Ginty F. , Goltsev Y. , et al. .
Source: Journal Of Proteome Research, 2020-05-01 00:00:00.0; 19(5), p. 1900-1912.
EPub date: 2020-04-02 00:00:00.0.
PMID: 32163288
Related Citations

Ductal carcinoma in situ of breast: update 2019.
Authors: Badve S.S. , Gökmen-Polar Y. .
Source: Pathology, 2019 Oct; 51(6), p. 563-569.
EPub date: 2019-08-28 00:00:00.0.
PMID: 31472981
Related Citations

Single-cell heterogeneity in ductal carcinoma in situ of breast.
Authors: Gerdes M.J. , Gökmen-Polar Y. , Sui Y. , Pang A.S. , LaPlante N. , Harris A.L. , Tan P.H. , Ginty F. , Badve S.S. .
Source: Modern Pathology : An Official Journal Of The United States And Canadian Academy Of Pathology, Inc, 2017-11-17 00:00:00.0; , .
EPub date: 2017-11-17 00:00:00.0.
PMID: 29148540
Related Citations

Microfluidic Tissue Mesodissection in Molecular Cancer Diagnostics.
Authors: Surrette C. , Shoudy D. , Corwin A. , Gao W. , Zavodszky M.I. , Karsten S.L. , Miller T. , Gerdes M.J. , Wood N. , Nelson J.R. , et al. .
Source: Slas Technology, 2017 08; 22(4), p. 425-430.
EPub date: 2016-11-19 00:00:00.0.
PMID: 27864340
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