CXCL9:SPP1 macrophage polarity identifies a network of cellular programs that control human cancers

Tumor microenvironments (TMEs) influence cancer progression but are complex and often differ between patients. Considering that microenvironment variations may reveal rules governing intratumoral cellular programs and disease outcome, we focused on tumor-to-tumor variation to examine 52 head and neck squamous cell carcinomas. We found that macrophage polarity-defined by CXCL9 and SPP1 (CS) expression but not by conventional M1 and M2 markers-had a noticeably strong prognostic association. CS macrophage polarity also identified a highly coordinated network of either pro- or antitumor variables, which involved each tumor-associated cell type and was spatially organized. We extended these findings to other cancer indications. Overall, these results suggest that, despite their complexity, TMEs coordinate coherent responses that control human cancers and for which CS macrophage polarity is a relevant yet simple variable.

HDAC3 is critical in tumor development and therapeutic resistance in Kras-mutant non-small cell lung cancer

HDAC3 is one of the main targets of histone deacetylase (HDAC) inhibitors in clinical development as cancer therapies, yet the in vivo role of HDAC3 in solid tumors is unknown. We identified a critical role for HDAC3 in Kras-mutant lung cancer. Using genetically engineered mouse models (GEMMs), we found that HDAC3 is required for lung tumor growth in vivo. HDAC3 was found to direct and enhance the transcription effects of the lung cancer lineage transcription factor NKX2-1 to mediate expression of a common set of target genes. We identified FGFR1 as a critical previously unidentified target of HDAC3. Leveraging this, we identified that an HDAC3-dependent transcriptional cassette becomes hyperactivated as Kras/LKB1-mutant cells develop resistance to the MEK inhibitor trametinib, and this can be reversed by treatment with the HDAC1/HDAC3 inhibitor entinostat. We found that the combination of entinostat plus trametinib treatment elicits therapeutic benefit in the Kras/LKB1 GEMM.

Abstract C012: Dissecting the reorganization of pancreatic tumor microenvironments after radiation and immunotherapy reveals insights into immunotherapy resistance

Immune checkpoint blockade (ICB) has revolutionized the treatment of many cancers but has been ineffective for the treatment of microsatellite stable (MSS) PDAC. The lack of efficacy of immunotherapies in PDAC is due to: 1) a desmoplastic tumor microenvironment (TME); 2) the presence of suppressive cells, including myeloid derived suppressor cells and regulatory T cells; and 3) the lack of antigen-presenting dendritic cells (DCs) that are important in priming an effective immune response to generate functionally effective tumor antigen-specific T cells. We recently completed a pilot study of dual ICB (Ipilumamab and Nivolumab) with radiation therapy (SBRT 8Gy for 3 fractions) in a cohort of 25 metastatic PDAC patients that had progressed on conventional chemotherapy; this combination conferred an impressive 18% ORR and 29% disease control rate measured on non-irradiated lesions (historical 0% ORR with ICB in PDAC). This led to a phase 2 study in 30 metastatic PDAC patients using this dual modality treatment paradigm. To understand the role of radiation and ICB in altering the PDAC tumor microenvironment we performed single-cell RNA-sequencing and TCR-sequencing (>180k cells), and single-nucleus RNA-sequencing (>300k cells) on 36 tumor biopsies (23 pre-treatment, 13 paired on-treatment between day 10 and 21) from patients undergoing treatment in our phase 2 study. Tumor tissue was taken from distinct tissue sites, including primary tumors in the pancreas, and liver and abdominal wall metastases. We identified distinct tumor cell state distributions within different tissues, and a redistribution of cells from basal/mesenchymal states to classical states after radiation. We identified several state-specific interferon stimulated gene programs thus cataloging distinct responses of epithelial cells with different transcriptional states. Importantly, we found a redistribution of T cells states towards proliferating and exhausted T cells with unique clonality after radiation. Additionally, the myeloid compartment after radiation was enriched for C1QC+ and MHCII+ macrophage subsets, as well as infiltrating CD16/CD16 monocytes and CD14 monocytes, each showing induction of unique sets of interferon stimulated genes (ISGs). We next sought to better understand immunotherapy resistance mechanisms within these PDAC patients despite finding strong ISG induction in several subsets. We analyzed covarying gene programs and identified multicellular communities of cells before and after radiation that underlie interaction networks associated with radiation. Together our data provides the most comprehensive single-cell atlas of paired biopsies to study tumor and immune cell states in the context of radiation and ICB response.

Citation Format: Arnav Mehta, Aparna Parikh, Milan Parikh, Ryan Park, Moshe Sade-Feldman, Lynn Bi, Nicole Carzo, Tarin M. Grillo, Islam Baiev, Olanike Asupoto, Irena Gushterova, Tom LaSalle, Anna Gonye, Emily Blaum, Sebastien Vigneau, Ronan Chaligne, Ana Lako, Thomas Lila, David Nelson, Caroline Porter, Orr Ashenberg, Karthik Jagadesh, William L. Hwang, Christopher Smillie, David P. Ryan, David T. Ting, Theodore Hong, Dana Pe'er, Nir Hacohen. Dissecting the reorganization of pancreatic tumor microenvironments after radiation and immunotherapy reveals insights into immunotherapy resistance [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr C012.

Longitudinal characterization of circulating neutrophils uncovers phenotypes associated with severity in hospitalized COVID-19 patients

Mechanisms of neutrophil involvement in severe coronavirus disease 2019 (COVID-19) remain incompletely understood. Here, we collect longitudinal blood samples from 306 hospitalized COVID-19+ patients and 86 controls and perform bulk RNA sequencing of enriched neutrophils, plasma proteomics, and high-throughput antibody profiling to investigate relationships between neutrophil states and disease severity. We identify dynamic switches between six distinct neutrophil subtypes. At days 3 and 7 post-hospitalization, patients with severe disease display a granulocytic myeloid-derived suppressor cell-like gene expression signature, while patients with resolving disease show a neutrophil progenitor-like signature. Humoral responses are identified as potential drivers of neutrophil effector functions, with elevated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific immunoglobulin G1 (IgG1)-to-IgA1 ratios in plasma of severe patients who survived. In vitro experiments confirm that while patient-derived IgG antibodies induce phagocytosis in healthy donor neutrophils, IgA antibodies predominantly induce neutrophil cell death. Overall, our study demonstrates a dysregulated myelopoietic response in severe COVID-19 and a potential role for IgA-dominant responses contributing to mortality.

Alveolar, Endothelial, and Organ Injury Marker Dynamics in Severe COVID-19

Rationale: Alveolar and endothelial injury may be differentially associated with coronavirus disease (COVID-19) severity over time. Objectives: To describe alveolar and endothelial injury dynamics and associations with COVID-19 severity, cardiorenovascular injury, and outcomes. Methods: This single-center observational study enrolled patients with COVID-19 requiring respiratory support at emergency department presentation. More than 40 markers of alveolar (including receptor for advanced glycation endproducts [RAGE]), endothelial (including angiopoietin-2), and cardiorenovascular injury (including renin, kidney injury molecule-1, and troponin-I) were serially compared between invasively and spontaneously ventilated patients using mixed-effects repeated-measures models. Ventilatory ratios were calculated for intubated patients. Associations of biomarkers with modified World Health Organization scale at Day 28 were determined with multivariable proportional-odds regression. Measurements and Main Results: Of 225 patients, 74 (33%) received invasive ventilation at Day 0. RAGE was 1.80-fold higher in invasive ventilation patients at Day 0 (95% confidence interval [CI], 1.50-2.17) versus spontaneous ventilation, but decreased over time in all patients. Changes in alveolar markers did not correlate with changes in endothelial, cardiac, or renal injury markers. In contrast, endothelial markers were similar to lower at Day 0 for invasive ventilation versus spontaneous ventilation, but then increased over time only among intubated patients. In intubated patients, angiopoietin-2 was similar (fold difference, 1.02; 95% CI, 0.89-1.17) to nonintubated patients at Day 0 but 1.80-fold higher (95% CI, 1.56-2.06) at Day 3; cardiorenovascular injury markers showed similar patterns. Endothelial markers were not consistently associated with ventilatory ratios. Endothelial markers were more often significantly associated with 28-day outcomes than alveolar markers. Conclusions: Alveolar injury markers increase early. Endothelial injury markers increase later and are associated with cardiorenovascular injury and 28-day outcome. Alveolar and endothelial injury likely contribute at different times to disease progression in severe COVID-19.

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

Immune checkpoint blockade (CPB) improves melanoma outcomes, but many patients still do not respond. Tumor mutational burden (TMB) and tumor-infiltrating T cells are associated with response, and integrative models improve survival prediction. However, integrating immune/tumor-intrinsic features using data from a single assay (DNA/RNA) remains underexplored. Here, we analyze whole-exome and bulk RNA sequencing of tumors from new and published cohorts of 189 and 178 patients with melanoma receiving CPB, respectively. Using DNA, we calculate T cell and B cell burdens (TCB/BCB) from rearranged TCR/Ig sequences and find that patients with TMBhigh and TCBhigh or BCBhigh have improved outcomes compared to other patients. By combining pairs of immune- and tumor-expressed genes, we identify three gene pairs associated with response and survival, which validate in independent cohorts. The top model includes lymphocyte-expressed MAP4K1 and tumor-expressed TBX3. Overall, RNA or DNA-based models combining immune and tumor measures improve predictions of melanoma CPB outcomes.

Early cross-coronavirus reactive signatures of humoral immunity against COVID-19

The introduction of vaccines has inspired hope in the battle against SARS-CoV-2. However, the emergence of viral variants, in the absence of potent antivirals, has left the world struggling with the uncertain nature of this disease. Antibodies currently represent the strongest correlate of immunity against SARS-CoV-2, thus we profiled the earliest humoral signatures in a large cohort of acutely ill (survivors and nonsurvivors) and mild or asymptomatic individuals with COVID-19. Although a SARS-CoV-2–specific immune response evolved rapidly in survivors of COVID-19, nonsurvivors exhibited blunted and delayed humoral immune evolution, particularly with respect to S2-specific antibodies. Given the conservation of S2 across β-coronaviruses, we found that the early development of SARS-CoV-2–specific immunity occurred in tandem with preexisting common β-coronavirus OC43 humoral immunity in survivors, which was also selectively expanded in individuals that develop a paucisymptomatic infection. These data point to the importance of cross-coronavirus immunity as a correlate of protection against COVID-19.

Longitudinal characterization of circulating neutrophils uncovers distinct phenotypes associated with disease severity in hospitalized COVID-19 patients

Multiple studies have identified an association between neutrophils and COVID-19 disease severity; however, the mechanistic basis of this association remains incompletely understood. Here we collected 781 longitudinal blood samples from 306 hospitalized COVID-19 ⁺ patients, 78 COVID-19 ^âˆ' acute respiratory distress syndrome patients, and 8 healthy controls, and performed bulk RNA-sequencing of enriched neutrophils, plasma proteomics, cfDNA measurements and high throughput antibody profiling assays to investigate the relationship between neutrophil states and disease severity or death. We identified dynamic switches between six distinct neutrophil subtypes using non-negative matrix factorization (NMF) clustering. At days 3 and 7 post-hospitalization, patients with severe disease had an enrichment of a granulocytic myeloid derived suppressor cell-like state gene expression signature, while non-severe patients with resolved disease were enriched for a progenitor-like immature neutrophil state signature. Severe disease was associated with gene sets related to neutrophil degranulation, neutrophil extracellular trap (NET) signatures, distinct metabolic signatures, and enhanced neutrophil activation and generation of reactive oxygen species (ROS). We found that the majority of patients had a transient interferon-stimulated gene signature upon presentation to the emergency department (ED) defined here as Day 0, regardless of disease severity, which persisted only in patients who subsequently died. Humoral responses were identified as potential drivers of neutrophil effector functions, as enhanced antibody-dependent neutrophil phagocytosis and reduced NETosis was associated with elevated SARS-CoV-2-specific IgG1-to-IgA1 ratios in plasma of severe patients who survived. In vitro experiments confirmed that while patient-derived IgG antibodies mostly drove neutrophil phagocytosis and ROS production in healthy donor neutrophils, patient-derived IgA antibodies induced a predominant NETosis response. Overall, our study demonstrates neutrophil dysregulation in severe COVID-19 and a potential role for IgA-dominant responses in driving neutrophil effector functions in severe disease and mortality.

SARS-CoV-2 viremia is associated with distinct proteomic pathways and predicts COVID-19 outcomes

BACKGROUNDSARS-CoV-2 plasma viremia has been associated with severe disease and death in COVID-19 in small-scale cohort studies. The mechanisms behind this association remain elusive.METHODSWe evaluated the relationship between SARS-CoV-2 viremia, disease outcome, and inflammatory and proteomic profiles in a cohort of COVID-19 emergency department participants. SARS-CoV-2 viral load was measured using a quantitative reverse transcription PCR-based platform. Proteomic data were generated with Proximity Extension Assay using the Olink platform.RESULTSThis study included 300 participants with nucleic acid test-confirmed COVID-19. Plasma SARS-CoV-2 viremia levels at the time of presentation predicted adverse disease outcomes, with an adjusted OR of 10.6 (95% CI 4.4-25.5, P < 0.001) for severe disease (mechanical ventilation and/or 28-day mortality) and 3.9 (95% CI 1.5-10.1, P = 0.006) for 28-day mortality. Proteomic analyses revealed prominent proteomic pathways associated with SARS-CoV-2 viremia, including upregulation of SARS-CoV-2 entry factors (ACE2, CTSL, FURIN), heightened markers of tissue damage to the lungs, gastrointestinal tract, and endothelium/vasculature, and alterations in coagulation pathways.CONCLUSIONThese results highlight the cascade of vascular and tissue damage associated with SARS-CoV-2 plasma viremia that underlies its ability to predict COVID-19 disease outcomes.FUNDINGMark and Lisa Schwartz; the National Institutes of Health (U19AI082630); the American Lung Association; the Executive Committee on Research at Massachusetts General Hospital; the Chan Zuckerberg Initiative; Arthur, Sandra, and Sarah Irving for the David P. Ryan, MD, Endowed Chair in Cancer Research; an EMBO Long-Term Fellowship (ALTF 486-2018); a Cancer Research Institute/Bristol Myers Squibb Fellowship (CRI2993); the Harvard Catalyst/Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, NIH awards UL1TR001102 and UL1TR002541-01); and by the Harvard University Center for AIDS Research (National Institute of Allergy and Infectious Diseases, 5P30AI060354).

Characterizing the tumor and immune landscape of melanoma patients treated with combined checkpoint blockade and MAPK targeted therapy

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Background: Melanoma therapy has been revolutionized by two novel therapeutic approaches: mitogen activated protein kinase (MAPK) targeted therapy (MTT) and immune checkpoint blockade therapy (ICB). Less than half of patients respond to ICB monotherapy, in part due to non-responsive tumor microenvironment (TME). It previously has been shown that MTT enhances anti-tumor immunity within the TME, thus providing a strong rationale for its combination with immunotherapy. Regimens combining MTT with ICB have had mixed results, and which patients should be treated with these combinations is unknown. Methods: The first arm (NCT03149029) of a planned two stage design was to enroll 14 patients (pts) harboring BRAFV600 mutation treated with 2 weeks (wks) of MTT (dabrafenib plus trametinib) then 6 wks of concomitant MTT and pembrolizumab, followed by single-agent pembrolizumab thereafter. The primary endpoint is clinical benefit (CB) defined as partial/complete response or stable disease (per RECIST1.1) persisting at 24 wks. If 9 of 14 pts had CB, then 11 more pts would be enrolled for a total cohort of 25. Serial biopsies were performed prior to MTT, following the 2-week lead-in of MTT, and following six wks of combination immune therapy and MTT. Single-cell RNA-seq profiling of CD45+ and CD45- cells was performed using both the smart-seq2 plate-based protocol and 10x genomics platform. Results: Sixteen pts were enrolled, with 14 receiving both MTT and ICB. Two pts did not receive ICB due to MTT toxicity. Only 5 had CB, and the second stage did not open. A 6th pt had CB extracranially with a new small brain met at wk 24 scans was considered CB for tumor analysis. A clustering analysis of 25 samples (n = 9 pts) showed that following MTT the abundance of CD8 T-cells as well as tumor IFNγ levels were significantly elevated in CB vs. no CB (NCB) patients. In addition, tumor associated macrophages (TAM) in NCB patients possessed mainly an M2 phenotype and expressed a significantly higher level of immune suppressor genes, such as HLA-G and CD52. Interestingly, NCB pts had a significantly higher expression of tumor TGFβ, which is a strong inducer of M2 macrophages. In contrast, most of the TAMs occupying the tumor of the CB pts had the M1 phenotype, and significantly expressed CD9, CD81 and CD82, important factors during antigen recognition and immunological synapse formation. Conclusions: Abbreviated MTT with ICB did not lead to increased clinical benefit at 24 wks in this small study. It is theorized that the tumor’s ability to create a unique microenvironment by producing certain factors (e.g. TGFβ), modifies the immune system and may tilt its path into immune suppression thereby reducing the efficacy of this combinatorial therapy in melanoma pts with metastatic disease. These results may help identify pts most likely to benefit from combined MTT plus ICB and new targets to overcome resistance to these regimens. Clinical trial information: NCT03149029.

Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions

Mechanisms underlying severe coronavirus disease 2019 (COVID-19) disease remain poorly understood. We analyze several thousand plasma proteins longitudinally in 306 COVID-19 patients and 78 symptomatic controls, uncovering immune and non-immune proteins linked to COVID-19. Deconvolution of our plasma proteome data using published scRNA-seq datasets reveals contributions from circulating immune and tissue cells. Sixteen percent of patients display reduced inflammation yet comparably poor outcomes. Comparison of patients who died to severely ill survivors identifies dynamic immune-cell-derived and tissue-associated proteins associated with survival, including exocrine pancreatic proteases. Using derived tissue-specific and cell-type-specific intracellular death signatures, cellular angiotensin-converting enzyme 2 (ACE2) expression, and our data, we infer whether organ damage resulted from direct or indirect effects of infection. We propose a model in which interactions among myeloid, epithelial, and T cells drive tissue damage. These datasets provide important insights and a rich resource for analysis of mechanisms of severe COVID-19 disease.

SARS-CoV-2 Viremia is Associated with Distinct Proteomic Pathways and Predicts COVID-19 Outcomes

BACKGROUND

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) plasma viremia has been associated with severe disease and death in coronavirus disease 2019 (COVID-19) in small-scale cohort studies. The mechanisms behind this association remain elusive.

METHODS

We evaluated the relationship between SARS-CoV-2 viremia, disease outcome, inflammatory and proteomic profiles in a cohort of COVID-19 emergency department participants. SARS-CoV-2 viral load was measured using qRT-PCR based platform. Proteomic data were generated with Proximity Extension Assay (PEA) using the Olink platform.

RESULTS

Three hundred participants with nucleic acid test-confirmed COVID-19 were included in this study. Levels of plasma SARS-CoV-2 viremia at the time of presentation predicted adverse disease outcomes, with an adjusted odds ratio (aOR) of 10.6 (95% confidence interval [CI] 4.4, 25.5, P<0.001) for severe disease (mechanical ventilation and/or 28-day mortality) and aOR of 3.9 (95%CI 1.5, 10.1, P=0.006) for 28-day mortality. Proteomic analyses revealed prominent proteomic pathways associated with SARS-CoV-2 viremia, including upregulation of SARS-CoV-2 entry factors (ACE2, CTSL, FURIN), heightened markers of tissue damage to the lungs, gastrointestinal tract, endothelium/vasculature and alterations in coagulation pathways.

CONCLUSIONS

These results highlight the cascade of vascular and tissue damage associated with SARS-CoV-2 plasma viremia that underlies its ability to predict COVID-19 disease outcomes.

Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients

COVID-19 has caused over 1 million deaths globally, yet the cellular mechanisms underlying severe disease remain poorly understood. By analyzing several thousand plasma proteins in 306 COVID-19 patients and 78 symptomatic controls over serial timepoints using two complementary approaches, we uncover COVID-19 host immune and non-immune proteins not previously linked to this disease. Integration of plasma proteomics with nine published scRNAseq datasets shows that SARS-CoV-2 infection upregulates monocyte/macrophage, plasmablast, and T cell effector proteins. By comparing patients who died to severely ill patients who survived, we identify dynamic immunomodulatory and tissue-associated proteins associated with survival, providing insights into which host responses are beneficial and which are detrimental to survival. We identify intracellular death signatures from specific tissues and cell types, and by associating these with angiotensin converting enzyme 2 (ACE2) expression, we map tissue damage associated with severe disease and propose which damage results from direct viral infection rather than from indirect effects of illness. We find that disease severity in lung tissue is driven by myeloid cell phenotypes and cell-cell interactions with lung epithelial cells and T cells. Based on these results, we propose a model of immune and epithelial cell interactions that drive cell-type specific and tissue-specific damage in severe COVID-19.

Patient-Driven Discovery, Therapeutic Targeting, and Post-Clinical Validation of a Novel AKT1 Fusion-Driven Cancer

Despite the important role of the PI3K/AKT/mTOR axis in the pathogenesis of cancer, to date there have been few functional oncogenic fusions identified involving the AKT genes. A 12-year-old female with a histopathologically indeterminate epithelioid neoplasm was found to harbor a novel fusion between the LAMTOR1 and AKT1 genes. Through expanded use access, she became the first pediatric patient to be treated with the oral ATP-competitive pan-AKT inhibitor ipatasertib. Treatment resulted in dramatic tumor regression, demonstrating through patient-driven discovery that the fusion resulted in activation of AKT1, was an oncogenic driver, and could be therapeutically targeted with clinical benefit. Post-clinical validation using patient-derived model systems corroborated these findings, confirmed a membrane-bound and constitutively active fusion protein, and identified potential mechanisms of resistance to single-agent treatment with ipatasertib. SIGNIFICANCE: This study describes the patient-driven discovery of the first AKT1 fusion-driven cancer and its treatment with the AKT inhibitor ipatasertib. Patient-derived in vitro and in vivo model systems are used to confirm the LAMTOR1-AKT1 fusion as a tumorigenic driver and identify potential mechanisms of resistance to AKT inhibition.This article is highlighted in the In This Issue feature, p. 565.

Abstract 4211: Gene expression changes in Polyphenon E treated prostate cells

Prostate cancer (PCa) is the most common malignancy among men in the USA. Polyphenon E (PolyE) is a standardized blend of polyphenols found in green tea extract, which has been shown to have chemoprevention value in PCa models, but the molecular mechanism(s) have not been elucidated. Polyphenols from green tea are known to alter the expression levels of some genes. Our experimental goal was to identify genes with expression level changes (up- or down-regulated by 2-fold or more) in normal, primary prostate cells as well as two PCa cell lines, DU145 and PC-3. Ultimately, we sought to identify genes whose expression level was differentially altered by PolyE treatment in normal versus PCa cells. We hypothesized that exposure to PolyE induces gene expression changes, which could provide rationales for the molecular mechanism(s) and provide potential targets for therapeutics and detection. A non-cancerous, human primary prostate cell line as well as two PCa cell lines (DU145 and PC-3) were cultured and treated them with varied concentrations of PolyE for 24 hours. Cellular RNA was isolated and subjected to microarray analyses (MA) at the Molecular Genomic Core facility of the Moffitt Cancer Center. A plethora of genes were identified by MA as having two-fold or higher gene expression level changes after PolyE exposure. Of these genes, fourteen with were selected for further analyses by TaqMan qRT-PCR. Cellular RNAs were converted into cDNA used in validated TaqMan qRT-PCR assays (StepOneTM RT-PCR System). RT-PCR data was analyzed using StepOneTM software and the ΔΔCt method. ACTB served as the endogenous control gene for all TaqMan qRT-PCR assays. Our qRT-PCR data from PolyE-treated DU145, PC-3, and primary prostate cells were consistent in the lack of expression changes greater than 2-fold for ATM, CASP8, HDAC4 and RB1. For RGCC, MXD1, CCSER2/FAM190B, CBLB and BCL2L11, gene expression levels increased by more than 2-fold in all three cell lines. For CCNB1 and SEC62, primary cells experienced more than a 2-fold change in gene expression, while the DU145 and PC-3 cell lines did not. Interestingly, ATM gene expression levels decreased by more than 10-fold in primary prostate cells, but in DU145 and PC-3 had changed less than 3-fold. Most notably, RGS4 gene expression levels were differentially altered in primary prostate cells compared to the PCa lines. In primary prostate cells, RGS4 decreased by more than 7-fold, but experienced a greater than 10-fold increases in DU145 and PC-3. In summary, we have identified RGS4 as a gene whose expression levels are differentially affected in primary prostate cells versus the PCa cell lines DU145 and PC-3.

Citation Format: L. Michael Carastro, Ricardo A. Cordova, Daniel A. Barboto, Ricardo A. Declet-Bauzo, Irena Gushterova, Nicholas K. Lago, Nicholas E. Braganca, Joanna C. Burr, Dara E. Hoffman, Jong Y. Park. Gene expression changes in Polyphenon E treated prostate cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4211. doi:10.1158/1538-7445.AM2017-4211