Early Detection of Tumor Relapse in Triple Negative Breast Cancer

Abstract

In the 2nd annual progress report, we report the following results: Firstly, we identified the corresponding tumor blocks pre- and post-NACT for the automatic IHC staining, clinical histology, and pathology analysis of a valuable cohort of 577 TNBC patients who have a natural partition of 50 African Americans (AA) and 50 Caucasian patients at stage 2-3-4 from Hampton Roads Virginia. In this cohort, AA TNBC patients have a high incidence rate of TNBC. KM survival curves showed that our local stage III-IV TNBC patients have a much reduced survival rate as compared to that of the national average of stage III-IV TNBC survival using the SEER database, indicative of a pressing need to identify chemo-resistant residual tumors, detect cancer disparities, forecast early tumor relapse, and predict patient survival in our local TNBC cohort as early as possible (Figures 3 4, and Table 1). Secondly, we reported that SIAH is a reliable prognostic biomarker in predicting patient survival in a 10-year study in NACT-treated high-risk breast cancer patients (Figures 5 - 8). Thirdly, we conducted reverse phase protein array (RPPA)-based kinomic analysis to delineate how the major cancer signaling pathways and network are rewired in response to anti-SIAH2 targeted therapy in TNBC cells lines (Figures 10 - 15). Due to the COVID-19 social distance restrictions at Sentara Hospitals, we have encountered repeated delays in carrying out the IHC staining of this TNBC project. With the state of Virginia re-opening on May 28, 2021, we are expected to catch up on this project rapidly.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1145065

Entities

People

  • Amy H Tang

Organizations

  • Eastern Virginia Medical School

Tags

DTIC Thesaurus Topics

  • African Americans
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Computational Biology
  • Covid-19
  • Databases
  • Department Of Defense
  • Health Services
  • Lymphocytes
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Physicians
  • Proteins
  • Public Health
  • Schools
  • Students
  • United States

Readers

  • Educational Psychology
  • Nuclear Civil Defense.
  • Oncology (Cancer Research).