Fenil Shah

APE1/Ref‐1 knockdown in pancreatic ductal adenocarcinoma – characterizing gene expression changes and identifying novel pathways using single‐cell RNA sequencing

Apurinic/apyrimidinic endonuclease 1/redox factor‐1 (APE1/Ref‐1 or APE1) is a multifunctional protein that regulates numerous transcription factors associated with cancer‐related pathways. Because APE1 is essential for cell viability, generation of APE1‐knockout cell lines and determining a comprehensive list of genes regulated by APE1 has not been possible. To circumvent this challenge, we utilized single‐cell RNA sequencing to identify differentially expressed genes (DEGs) in relation to APE1 protein levels within the cell. Using a straightforward yet novel statistical design, we identified 2837 genes whose expression is significantly changed following APE1 knockdown. Using this gene expression profile, we identified multiple new pathways not previously linked to APE1, including the EIF2 signaling and mechanistic target of Rapamycin pathways and a number of mitochondrial‐related pathways. We demonstrate that APE1 has an effect on modifying gene expression up to a threshold of APE1 expression, demonstrating that it is not necessary to completely knockout APE1 in cells to accurately study APE1 function. We validated the findings using a selection of the DEGs along with siRNA knockdown and qRT‐PCR. Testing additional patient‐derived pancreatic cancer cells reveals particular genes (ITGA1, TNFAIP2, COMMD7, RAB3D) that respond to APE1 knockdown similarly across all the cell lines. Furthermore, we verified that the redox function of APE1 was responsible for driving gene expression of mitochondrial genes such as PRDX5 and genes that are important for proliferation such as SIPA1 and RAB3D by treating with APE1 redox‐specific inhibitor, APX3330. Our study identifies several novel genes and pathways affected by APE1, as well as tumor subtype specificity. These findings will allow for hypothesis‐driven approaches to generate combination therapies using, for example, APE1 inhibitor APX3330 with other approved FDA drugs in an innovative manner for pancreatic and other cancer treatments.

LTMG (Left truncated mixture Gaussian) based modeling of transcriptional regulatory heterogeneities in single cell RNA-seq data - a perspective from the kinetics of mRNA metabolism

A key challenge in modeling single-cell RNA-seq (scRNA-seq) data is to capture the diverse gene expression states regulated by different transcriptional regulatory inputs across single cells, which is further complicated by a large number of observed zero and low expressions. We developed a left truncated mixture Gaussian (LTMG) model that stems from the kinetic relationships between the transcriptional regulatory inputs and metabolism of mRNA and gene expression abundance in a cell. LTMG infers the expression multi-modalities across single cell entities, representing a gene’s diverse expression states; meanwhile the dropouts and low expressions are treated as left truncated, specifically representing an expression state that is under suppression. We demonstrated that LTMG has significantly better goodness of fitting on an extensive number of single-cell data sets, comparing to three other state of the art models. In addition, our systems kinetic approach of handling the low and zero expressions and correctness of the identified multimodality are validated on several independent experimental data sets. Application on data of complex tissues demonstrated the capability of LTMG in extracting varied expression states specific to cell types or cell functions. Based on LTMG, a differential gene expression test and a co-regulation module identification method, namely LTMG-DGE and LTMG-GCR, are further developed. We experimentally validated that LTMG-DGE is equipped with higher sensitivity and specificity in detecting differentially expressed genes, compared with other five popular methods, and that LTMG-GCR is capable to retrieve the gene co-regulation modules corresponding to perturbed transcriptional regulations. A user-friendly R package with all the analysis power is available at https://github.com/zy26/LTMGSCA.A key challenge in statistical modeling of single cell RNA-seq (scRNA-seq) data is to assess the multimodality of single gene expression with a simultaneous handling of the largely observed zero and low expressions. In this study, started from a mathematical derivation of the relationship between the mRNA abundance, transcriptional regulatory signals, and mRNA metabolism on a single cell level, we developed a left truncated mixture Gaussian (LTMG) distribution to accurately infer the modality and distribution of individual gene expression profile in a scRNA-seq data, with modeling the dropout and low expressions as left censored data caused by a limited experimental resolution. We validated the LTMG model is with a much better goodness of fitting on an extensive data set, comparing to the statistical models commonly utilized in other scRNA-seq analysis methods. An LTMG based differential gene expression testing method, namely LTMG-DEG, is further developed. We experimentally validated a higher sensitivity and specificity of the LTMG-DEG comparing other differential gene expression testing methods. In addition, the assumption of the LTMG model, derived from our system biological derivation, is validated on several independent experimental data sets. A user friendly R package of LTMG and its downstream analysis is provided.

Blocking HIF signaling via novel inhibitors of CA9 and APE1/Ref-1 dramatically affects pancreatic cancer cell survival

Pancreatic ductal adenocarcinoma (PDAC) has reactive stroma that promotes tumor signaling, fibrosis, inflammation, and hypoxia, which activates HIF-1α to increase tumor cell metastasis and therapeutic resistance. Carbonic anhydrase IX (CA9) stabilizes intracellular pH following induction by HIF-1α. Redox effector factor-1 (APE1/Ref-1) is a multifunctional protein with redox signaling activity that converts certain oxidized transcription factors to a reduced state, enabling them to upregulate tumor-promoting genes. Our studies evaluate PDAC hypoxia responses and APE1/Ref-1 redox signaling contributions to HIF-1α-mediated CA9 transcription. Our previous studies implicated this pathway in PDAC cell survival under hypoxia. We expand those studies, comparing drug responses using patient-derived PDAC cells displaying differential hypoxic responses in 3D spheroid tumor-stroma models to characterize second generation APE1/Ref-1 redox signaling and CA9 inhibitors. Our data demonstrates that HIF-1α-mediated CA9 induction differs between patient-derived PDAC cells and that APE1/Ref-1 redox inhibition attenuates this induction by decreasing hypoxia-induced HIF-1 DNA binding. Dual-targeting of APE1/Ref-1 and CA9 in 3D spheroids demonstrated that this combination effectively kills PDAC tumor cells displaying drastically different levels of CA9. New APE1/Ref-1 and CA9 inhibitors were significantly more potent alone and in combination, highlighting the potential of combination therapy targeting the APE1-Ref-1 signaling axis with significant clinical potential.

Ref-1/APE1 inhibition with novel small molecules blocks ocular neovascularization

Ocular neovascular diseases like wet age-related macular degeneration are a major cause of blindness. Novel therapies are greatly needed for these diseases. One appealing antiangiogenic target is reduction-oxidation factor 1–apurinic/apyrimidinic endonuclease 1 (Ref-1/APE1). This protein can act as a redox-sensitive transcriptional activator for nuclear factor (NF)-κB and other proangiogenic transcription factors. An existing inhibitor of Ref-1’s function, APX3330, previously showed antiangiogenic effects. Here, we developed improved APX3330 derivatives and assessed their antiangiogenic activity. We synthesized APX2009 and APX2014 and demonstrated enhanced inhibition of Ref-1 function in a DNA-binding assay compared with APX3330. Both compounds were antiproliferative against human retinal microvascular endothelial cells (HRECs; GI50 APX2009: 1.1 μM, APX2014: 110 nM) and macaque choroidal endothelial cells (Rf/6a; GI50 APX2009: 26 μM, APX2014: 5.0 μM). Both compounds significantly reduced the ability of HRECs and Rf/6a cells to form tubes at mid-nanomolar concentrations compared with control, and both significantly inhibited HREC and Rf/6a cell migration in a scratch wound assay, reducing NF-κB activation and downstream targets. Ex vivo, APX2009 and APX2014 inhibited choroidal sprouting at low micromolar and high nanomolar concentrations, respectively. In the laser-induced choroidal neovascularization mouse model, intraperitoneal APX2009 treatment significantly decreased lesion volume by 4-fold compared with vehicle (P < 0.0001, ANOVA with Dunnett’s post-hoc tests), without obvious intraocular or systemic toxicity. Thus, Ref-1 inhibition with APX2009 and APX2014 blocks ocular angiogenesis in vitro and ex vivo, and APX2009 is an effective systemic therapy for choroidal neovascularization in vivo, establishing Ref-1 inhibition as a promising therapeutic approach for ocular neovascularization.

Abstract 4802: Combination therapy in PDAC involving blockade of the APE1/Ref-1 signaling pathway: An investigation into drug synthetic lethality and anti-neuropathy therapeutic approach

Pancreatic ductal adenocarcinoma (PDAC) is the 4th leading cause of cancer-related mortality in the US. Most patients present with advanced disease and ~93% die within five years, with most surviving less than six months. Combination therapies including Gemcitabine (GemzarTM) and sustained release, nab-paclitaxel (AbraxaneTM) and FOLFIRINOX (5-FU/leucovorin/irinotecan/oxaliplatin) offer modest improvement in survival, albeit at an increase in side effects including chemotherapy-induced peripheral neuropathy. Data is presented on Apurinic/apyrimidinic endonuclease/redox factor-1 (APE1/Ref-1 or APE1) and redox-specific APE1 inhibitor, APX3330 and its effects on tumor cell growth and sensory neuron function. APE1 is a multifunctional protein involved in repairing DNA damage via endonuclease activity and in redox regulation of transcription factors such as HIF-1α, NFkB and STAT3. High expression levels of APE1 indicate decreased survival in PDAC as well as other cancers. Because APE1 is essential for cell viability, generation of APE1 knockout cell lines and determining a comprehensive list of genes regulated by APE1 has been difficult. To circumvent this, we performed single cell RNA-Sequencing on PDAC cells following APE1 knockdown under normoxia and hypoxia to identify differentially expressed genes and further explore APE19s effects on HIF-1α and STAT3 signaling under both conditions. Proteomic analysis on PDAC cells following APE1 knockdown in normoxia and hypoxia revealed changes in signaling downstream of APE1, complementing the transcriptomic data and providing a more complete understanding of pathways affected by APE1. We used the newly identified APE1 targets and pathways along with drug sensitivity data of cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) to generate potential combination therapies of FDA approved drugs and the APE1 redox inhibitor, APX3330 and next generation analogs. These combinations were tested using an ex vivo 3D tumor-stroma model system using patient derived cells from the tumor as well as cancer-associated fibroblasts. We identified synergy with agents such as Napabucasin and Entinostat. We also tested APX3330 in combination with drugs that are part of PDAC standard of care. In vivo studies combining APX3330 with Gemcitabine showed significantly decreased tumor volume. Combining oxaliplatin (part of FOLFIRINOX) with APX3330 caused a significant reduction in oxaliplatin-induced DNA damage in sensory neurons from a KPC orthotopic graft model, without hindering its anti-cancer activity. With the phase I clinical trial for APX3330 underway (IND 125360), the potential for APE1 targeted therapy enhancing tumor efficacy while providing neuroprotective effects in the sensory neurons provides a win-win scenario. Citation Format: Fenil L. Shah, Nadia Atallah, Michelle Grimard, Chunlu Guo, Chi Zhang, Jill Fehrenbacher, Mark R. Kelley, Melissa Fishel. Combination therapy in PDAC involving blockade of the APE1/Ref-1 signaling pathway: An investigation into drug synthetic lethality and anti-neuropathy therapeutic approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4802.

Abstract 4740: Targeting Ref-1/APE1 pathway inhibition in pancreatic cancer using APX3330 for clinical trials

Pancreatic ductal adenocarcinoma (PDAC) is the 4th leading cause of cancer-related mortality in the US. Most patients present with advanced disease and ∼95% die within five years, with most surviving less than six months. Targeted therapies including Gemcitabine (GemzarTM), FOLFIRINOX (5-FU/leucovorin/irinotecan/oxaliplatin), and sustained release, nab-paclitaxel (AbraxaneTM) offer modest improvement in survival, albeit at an increase in side effects and unwanted toxicities. Data is presented on redox factor-1 (Ref-1) and specific Ref-1 inhibitor APX3330. Ref-1 regulates multiple transcription factors involved in pancreatic cancer survival signaling due to its redox-coactivator activity on HIF-1α, NFkB, NRF2 and STAT3. High expression levels of Ref-1 indicate decreased survival in PDAC as well as other cancers. APX3330 has been shown in multiple in vitro and in vivo pancreatic cancer models to be effective in reducing tumor growth and metastases as a single agent. The mechanism of action has been extensively investigated and characterized for its specific activity on Ref-1, as well as its preclinical PK/PD and ADME. The safety and dose administration of APX3330 have been established by Eisai pharmaceutical company through a previous development program including toxicology, phase I, and phase II clinical evaluation in non-cancer patients in Japan. We have partnered with ApeX Therapeutics to develop APX3330 for cancer treatment (phase I trial anticipated start date early 2016). While developing APX3330 for single agent use, we studied interactions of Ref-1, APX3330, convergent pathways; i.e. HIF-1 α and STAT3, and downstream targets like CAIX. Initially, we performed in vivo studies demonstrating single and combination effects of APX3330 with Gemcitabine (Gem) showing significantly decreased tumor volume in the APX3330 and Gem combination treatments compared to the single-agents alone. We also tested single and combination studies of APX3330 in an ex vivo 3-D tumor-stroma model system using patient derived tumor cells along with patient derived cancer-associated fibroblasts (CAFs). We used the CAIX inhibitor SLC-0111 and JAK2 inhibitor, Ruxolitinib; both agents in clinical trials. In our ex vivo 3D co-culture system, APX3330 decreases the tumor area and intensity in a dose-dependent manner. The combination of APX3330 with Gem demonstrated an additive enhancement effect in the tumor. Blocking both Ref-1 redox-signaling activity with APX3330 and CAIX activity via SLC-0111 demonstrated enhanced tumor killing in our models. APX3330 along with Ruxolitinib also demonstrated enhanced tumor killing. These data demonstrate APX3330 single agent efficacy in our 3D patient PDAC model and enhanced tumor killing when pathways regulated by Ref-1, HIF-1 α and STAT3 are blocked. Additional drug combinations focused on pathways that are dependent on Ref-1 signaling will also be presented. Citation Format: Melissa L. Fishel, Derek P. Logsdon, Michelle L. Grimard, Claudiu T. Supuran, Nicholas Zyromski, Mircea Ivan, Mark R. Kelley, Fenil Shah. Targeting Ref-1/APE1 pathway inhibition in pancreatic cancer using APX3330 for clinical trials. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4740.