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Immune profiling of pre- and post-treatment breast cancer tissues from the SOWG S0800 randomized neoadjuvant trail of weekly nab-paclitaxel with or without bevacizumab and dose dense doxorubicin and cyclophosphamide

ABSTRACT: Immune profiling of pre- and post-treatment breast cancer tissues from the SOWG S0800 randomized neoadjuvant trail of weekly nab-paclitaxel with or without bevacizumab and dose dense doxorubicin and cyclophosphamide

PROVIDER: PRJNA471309 | ENA |

REPOSITORIES: ENA

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Project description:Background: We examined changes in the tumor immune microenvironment during neoadjuvant chemotherapy by comparing immune gene mRNA expression, tumor infiltrating lymphocyte (TIL) count and PD-L1 protein expression in pre- and post-treatment tissues. Methods: Paired pre- and post- treatment tumor samples from 60 patients were profiled using the Nanostring Immune Oncology 360 platform to measure the expression of 770 immune-related genes that also allowed us to test 14 immune cell type and 27 previously published prognostic and immuno therapy response predictive gene signatures. All samples were also assessed for TIL counts and PD-L1 protein expression by immunohistochemistry. Gene expression levels were compared by paired t-test with Bonferroni correction. TIL count, PD-L1 protein expression and immune gene signatures were compared using Wilcoxon signed-rank test. Baseline immune markers were correlated with pathologic complete response (pCR) using estrogen receptor (ER) and treatment adjusted logistic regression. Results: TIL counts were significantly lower in post- compared to pre-treatment samples (17% vs 7%, p=0.013) but stromal PD-L1 protein expression was not significantly different. At baseline, higher TIL count and PD-L1 expression were associated with pCR. High expression of a mast cell metagene was associated with residual disease (RD). No individual genes or VEGF gene signature were associated with benefit from bevacizumab. In patients with RD (n=31), genes involved with tissue repair and inflammation (DUSP1, EGR1, IL6, ATF3, CD36, CXCL2, CD69, NGFR, KLF2, THBD, DAB2) showed significantly higher expression after therapy while most other immune markers decreased. The T effector, T-reg, MHC-I, MHC-II, IFNgamma, STAT-1 and M1 macrophage gene signatures were all significantly lower in post- versus pre-treatment samples and only the IL8/VEGFR and T-helper gene signatures showed higher expression after therapy. Conclusions: High mast cell gene expression is associated with lower pCR rate. TIL counts and most immune parameters decrease after neoadjuvant chemotherapy.

Project description:Bevacizumab induces glioblastoma resistance in two in vivo xenograft models. Two cell lines were developed with acquired resistance to bevacizumab. Gene expression difference were analyzed between treated and untreated tumors. Purpose: Antiangiogenic therapy reduces vascular permeability and delays progression but may ultimately promote an aggressive treatment-resistant phenotype. The aim of the present study was to identify mechanisms responsible for glioblastoma resistance to antiangiogenic therapy. Experimental Design: Glioma stem cell (GSC) NSC11 and U87 cell lines with acquired resistance to bevacizumab were developed from orthotopic xenografts in nude mice treated with bevacizumab. Genome-wide analyses were used to identify changes in tumor subtype and specific factors associated with resistance. Results: Mice with established parental NSC11 and U87 cells responded to bevacizumab, whereas glioma cell lines derived at the time of acquired resistance to anti-VEGF therapy were resistant to bevacizumab and did not have prolongation of survival compared to untreated controls. Gene expression profiling comparing anti-VEGF therapy-resistant cell lines to untreated controls demonstrated an increase in genes associated with a mesenchymal origin, cellular migration/invasion, and inflammation. Gene Set Enrichment Analysis (GSEA) demonstrated that bevacizumab-treated tumors showed a highly significant correlation to published mesenchymal gene signatures. Mice bearing resistant tumors showed significantly greater infiltration of myeloid cells in NSC11 and U87 resistant tumors. Invasion-related genes were also upregulated in both NSC11 and U87 resistant cells, which had higher invasion rates in vitro compared with their respective parental cell lines. Conclusions: Our studies identify multiple pro-inflammatory factors associated with resistance and identify a proneural-to-mesenchymal transition (PMT) in tumors resistant to antiangiogenic therapy. Glioma cell lines were injected into the caudate of nude mice and were allowed to grow untreated (samples labeled control) or were treated with 10 mg/kg IP twice weekly with bevacizumab (samples labeled Avastin). At the time of animal death, tumor tissue from the mouse was removed, and RNA was isolated and analyzed using gene expression. U87R and NSC11R represent cells resistant to bevacizumab (Avastin).

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Immune profiling of pre- and post-treatment breast cancer tissues from the SOWG S0800 randomized neoadjuvant trail of weekly nab-paclitaxel with or without bevacizumab and dose dense doxorubicin and cyclophosphamide

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