Abstract B07: Utilizing consomic xenograft models to identify genetic variants in the tumor microenvironment that determine breast cancer radiation responses
Authors: Carmen Bergom, Michael Straza, Amy Rymaszewski, Anne Frei, Angela Lemke, Shirng-Wern Tsaih, Howard Jacob, Michael J. Flister
Journal: Cancer Research (2016)

Abstract Progress in elucidating the molecular basis of breast cancer has allowed for treatment breakthroughs such as anti-estrogen and Her2-targeted therapy. It has also shaped the approaches to both surgical and systemic therapy. However, no similar use of molecular information has been utilized to better direct the use of radiation therapy. The development of predictive tools for the radiosensitivity of tumors could allow for personally tailored radiation doses, with treatment de-escalation for radiosensitive tumors, or dose escalation or the use of adjunct treatments in the case of radioresistant tumors. Communication between malignant tumor cells and the tumor microenvironment (TME) underlies most aspects of tumor biology, including chemotherapy and radiation resistance. We have developed a Consomic Xenograft Model (CXM), which maps germline variants that impact only the TME, as well as a species-specific RNA-seq (SSRS) protocol which allows detection of expression changes in the malignant and nonmalignant cellular compartments of tumor xenografts, in parallel and without cell-sorting. Here we utilize these unique techniques to identify genetic variants in the TME that can affect radiation sensitivity. In CXM, human triple negative breast cancer MDA-MD-231 cells are orthotopically implanted into immunodeficient (IL2Rγ-/-) consomic rat strains, which are rat strains in which an entire chromosome is introgressed into the isogenic background of another inbred strain by selective breeding. Because the strain backgrounds are different but the tumor cells are not varied, the observed changes in tumor progression are due to genetic differences in the non-malignant TME. We hypothesized that the tumors in SS.BN3 rats (identical to SS rats but with BN strain chromosome 3) would be more sensitive to radiation due to increased tumor vascularity via CD31 staining, and increased tumor blood volume capacity, as measured by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Our studies demonstrate differential responses to radiation in the CXM model comparing parental SS (IL2Rγ) rats to SS.BN3 (IL2Rγ) rats treated with fractionated radiation therapy (4 Gray x 3), with altered tumor growth kinetics and tumor recurrence rates. A difference was seen in time to 5-fold increase in tumor growth, with 44 vs. &amp;gt;130 days for SS versus SS.BN3 rats (supra-additive, p&amp;lt;0.05). There was a recurrence-free survival of 30% vs. 67% at 130 days, with a median time to recurrence of 57 days vs. time not reached (&amp;gt;130 days) in the SS versus SS.BN3 rats (p=0.02). These results suggest that genetic determinants in the TME affect the radiation sensitivity of genetically identical tumor cells. Using SSRS, we identified a number of candidates on rat chromosome 3 that may potentially influence radiation sensitivity by altering the tumor vasculature. Future studies will further dissect the pathways responsible for the changes in radiation sensitivity. Determining TME factors that affect the radiation sensitivity of tumors has the potential to allow for more tailored and effective radiation treatments in breast cancer. Citation Format: Carmen Bergom, Michael Straza, Amy Rymaszewski, Anne Frei, Angela Lemke, Shirng-Wern Tsaih, Howard Jacob, Michael J. Flister. Utilizing consomic xenograft models to identify genetic variants in the tumor microenvironment that determine breast cancer radiation responses. [abstract]. In: Proceedings of the AACR Special Conference: Function of Tumor Microenvironment in Cancer Progression; 2016 Jan 7–10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2016;76(15 Suppl):Abstract nr B07.