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92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer

ABSTRACT IMPACT: Insights from this project will provide clinical guidance in treatment of immunotherapy in triple negative breast cancer and identify early imaging biomarkers of treatment response. OBJECTIVES/GOALS: Significant research that addresses monitoring and predicting patient response of t...

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Autores principales: Napier, Tiara S., Hunter, Chanelle L., Song, Patrick N., Larimer, Benjamin M., Sorace, Anna G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827709/
http://dx.doi.org/10.1017/cts.2021.455
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author Napier, Tiara S.
Hunter, Chanelle L.
Song, Patrick N.
Larimer, Benjamin M.
Sorace, Anna G.
author_facet Napier, Tiara S.
Hunter, Chanelle L.
Song, Patrick N.
Larimer, Benjamin M.
Sorace, Anna G.
author_sort Napier, Tiara S.
collection PubMed
description ABSTRACT IMPACT: Insights from this project will provide clinical guidance in treatment of immunotherapy in triple negative breast cancer and identify early imaging biomarkers of treatment response. OBJECTIVES/GOALS: Significant research that addresses monitoring and predicting patient response of triple negative breast cancer (TNBC) to immunotherapy is needed. Using positron emission tomography (PET) imaging to probe the tumor microenvironment (hypoxia, T-cell activation), we aim to predict early response to immunotherapy for in mouse models of TNBC tumors. METHODS/STUDY POPULATION: Female Balb/c mice with 4T1-luciferase mammary carcinoma cell tumors were administered paclitaxel (PTX; 10 mg/kg), anti-PD1 (200 µg), both, or vehicle (saline) intraperitoneally. Treatment was given on days 0, 2, and 5 for cohort 1 (n=16) who underwent granzyme B specific (GZP) PET imaging (T-cell activation) and days 0, 2, 5, and 8 for cohort 2 (n=12) who underwent [18F]-fluoromisonidazole (FMISO)-PET imaging (hypoxia). Bioluminescence (BLI) imaging and caliper measurements were performed to track tumor size changes at multiple timepoints and tumors were collected for histological validation on day 20. Mean standard uptake value (SUVmean) was calculated as percent of day 0, and statistical analyses were performed with unpaired t-tests and Wilcoxon-rank sum tests. RESULTS/ANTICIPATED RESULTS: Non-responders to treatment had a significantly higher tumor volume compared to responders starting on day 6 (p<0.05). Although no significant differences in BLI between control and single-agent therapies were found, BLI data revealed that treatment with combination PTX and anti-PD1 significantly decreased viability signal between days 3 and 6 (p=0.04). SUVmean from GZP-PET was over 250% higher in responders compared to non-responders by day 6 (p=0.03). SUVmean from FMISO-PET was 80% less in responders compared to nonresponders, indicating less tumor hypoxia (p=0.04). DISCUSSION/SIGNIFICANCE OF FINDINGS: Non-invasive PET imaging of the tumor microenvironment can provide data on T cell activation and hypoxic response predicting response to combination immunotherapy and chemotherapy. Utilizing advanced imaging to understand biologically distinct features of the TNBC tumor microenvironment can aid in personalizing anti-cancer therapies.
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spelling pubmed-88277092022-02-28 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer Napier, Tiara S. Hunter, Chanelle L. Song, Patrick N. Larimer, Benjamin M. Sorace, Anna G. J Clin Transl Sci Basic Science ABSTRACT IMPACT: Insights from this project will provide clinical guidance in treatment of immunotherapy in triple negative breast cancer and identify early imaging biomarkers of treatment response. OBJECTIVES/GOALS: Significant research that addresses monitoring and predicting patient response of triple negative breast cancer (TNBC) to immunotherapy is needed. Using positron emission tomography (PET) imaging to probe the tumor microenvironment (hypoxia, T-cell activation), we aim to predict early response to immunotherapy for in mouse models of TNBC tumors. METHODS/STUDY POPULATION: Female Balb/c mice with 4T1-luciferase mammary carcinoma cell tumors were administered paclitaxel (PTX; 10 mg/kg), anti-PD1 (200 µg), both, or vehicle (saline) intraperitoneally. Treatment was given on days 0, 2, and 5 for cohort 1 (n=16) who underwent granzyme B specific (GZP) PET imaging (T-cell activation) and days 0, 2, 5, and 8 for cohort 2 (n=12) who underwent [18F]-fluoromisonidazole (FMISO)-PET imaging (hypoxia). Bioluminescence (BLI) imaging and caliper measurements were performed to track tumor size changes at multiple timepoints and tumors were collected for histological validation on day 20. Mean standard uptake value (SUVmean) was calculated as percent of day 0, and statistical analyses were performed with unpaired t-tests and Wilcoxon-rank sum tests. RESULTS/ANTICIPATED RESULTS: Non-responders to treatment had a significantly higher tumor volume compared to responders starting on day 6 (p<0.05). Although no significant differences in BLI between control and single-agent therapies were found, BLI data revealed that treatment with combination PTX and anti-PD1 significantly decreased viability signal between days 3 and 6 (p=0.04). SUVmean from GZP-PET was over 250% higher in responders compared to non-responders by day 6 (p=0.03). SUVmean from FMISO-PET was 80% less in responders compared to nonresponders, indicating less tumor hypoxia (p=0.04). DISCUSSION/SIGNIFICANCE OF FINDINGS: Non-invasive PET imaging of the tumor microenvironment can provide data on T cell activation and hypoxic response predicting response to combination immunotherapy and chemotherapy. Utilizing advanced imaging to understand biologically distinct features of the TNBC tumor microenvironment can aid in personalizing anti-cancer therapies. Cambridge University Press 2021-03-30 /pmc/articles/PMC8827709/ http://dx.doi.org/10.1017/cts.2021.455 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Basic Science
Napier, Tiara S.
Hunter, Chanelle L.
Song, Patrick N.
Larimer, Benjamin M.
Sorace, Anna G.
92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title_full 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title_fullStr 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title_full_unstemmed 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title_short 92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
title_sort 92418 molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer
topic Basic Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827709/
http://dx.doi.org/10.1017/cts.2021.455
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