bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract 6674: Fungi utilizes exocytosis pathway to facilitate the release of DAMPs from pancreatic cancer cells
Authors: Alam Aftab , Mayengbam Shyamananda Singh , Senchanthisai Sharon , Irmak Bektas , Dey Prasenjit 
Published: March 2024

Abstract
Recent studies overwhelmingly show that microbiome is pervasive to tumor and play key role in immunotherapy response and reprograming tumor immune microenvironment (TIME). However, it remains unknown how microbiome facilitates the host-immune cell crosstalk and promote tumorigenesis. Our recent study in pancreatic ductal adenocarcinoma (PDAC) show that intratumor fungal microbiome facilitate the release of a damage associated molecular pattern (DAMP) molecule IL-33 from cancer cells. The secreted IL33 from cancer cells in turns recruits ILC2 and TH2 cells which promotes PDAC tumorigenesis. However, the mechanism of fungal mediated IL-33 release from PDAC cells remains unknown. Our follow up studies using high throughput integrated proteomic profiling and immunoprecipitation revealed a group of exocyst complex proteins interacting with IL-33 in the presence of fungus. The exocyst complex consists of eight sub-unit proteins that tethers the secretory vesicles to the plasma membrane and implicated in cellular exocytosis. We found EXOC6B a component of exocyst complex, modulates IL-33 release via exocytosis pathway from the PDAC cells. Genetic depletion of EXOC6B resulted in shunted IL-33 release and significantly abrogated PDAC tumor progression. Mechanistically, we found that mycobiome activates a non-canonical TLR2-CARD9 pathway, thereby driving IL-33 nucleocytoplasmic transport and exocytosis. This study identifies a unique mechanism of EXOC6B mediated release of IL-33 that expands our knowledge on how host-mycobiome interaction shapes PDAC tumor microenvironment by intricate molecular mechanism. Our study identifies EXOC6B as a new therapeutics target involved in the mycobiome driven IL-33 secretion in pancreatic cancer.
Citation Format: Aftab Alam, Shyamananda Singh Mayengbam, Sharon Senchanthisai, Bektas Irmak, Prasenjit Dey. Fungi utilizes exocytosis pathway to facilitate the release of DAMPs from pancreatic cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6674.
Abstract 672: Small molecule NSC59984 stimulates mitochondria-dependent ferroptosis and overcomes integrated stress response pro-survival signaling in pre-clinical pancreatic and colorectal cancer models
Authors: Srinivasan Praveen R. , De La Cruz Arielle J. , Pinho-Schwermann Maximilian , George Andrew , MacDonald William J. , Zhang Shengliang , El-Deiry Wafik S. 
Published: March 2024

Abstract
Pancreatic and colorectal cancer are leading causes of cancer deaths worldwide. Resistance to current therapeutics is a significant challenge in treating these cancers. Ferroptosis, a non-apoptotic iron-dependent form of cell death characterized by overwhelming lipid peroxidation, has emerged as a potential strategy to overcome drug resistance. Our lab previously identified the small-molecule NSC59984 as a p53 pathway restoring compound that induces reactive oxygen species, requires p73, and targets mutant p53 for ubiquitin-mediated proteolysis involving MDM2 and HSP90. In pre-clinical models of pancreatic and colorectal cancer, we now show that the small-molecule NSC59984 induces lipid peroxidation and causes reactive oxygen species-dependent apoptosis as monotherapy. However, when combined with ferroptosis inducers or cystine deprivation, NSC59984 potently induces ferroptosis in a mitochondrial complex III-dependent manner. Using CRISPR/Cas9 in pancreatic cancer cells, we further show that HRI, an EIF2-alpha kinase responsible for the cellular response to mitochondrial stress, induces the integrated stress response (ISR) upon treatment with NSC59984 or ferroptosis inducers. The ISR serves as a mechanism for resistance to cell death induced by NSC59984 or ferroptosis inducers, causing upregulation of key anti-oxidative stress and anti-ferroptosis proteins, including the cystine importer SLC7A11 and the GPX4-stabilizing protein HSPA5/BIP/GRP78. The combination therapy overcomes the ISR to induce potent cell death. Our work demonstrates the importance of the interplay between mitochondria and the ISR during ferroptosis induction in pancreatic and colorectal cancer cells.
Citation Format: Praveen R. Srinivasan, Arielle J. De La Cruz, Maximilian Pinho-Schwermann, Andrew George, William J. MacDonald, Shengliang Zhang, Wafik S. El-Deiry. Small molecule NSC59984 stimulates mitochondria-dependent ferroptosis and overcomes integrated stress response pro-survival signaling in pre-clinical pancreatic and colorectal cancer models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 672.
Abstract 673: Mechanisms of drugs in ovarian cancer and prevention of invasion and metastasis
Authors: Mortan Laura F. , Benbrook Doris 
Published: March 2024

Abstract
Introduction: Ovarian cancer patients are typically diagnosed late stage after the cancer has left the primary site, this is the major factor contributing to the 70% 5-year mortality rate. Standard of care is Platinum therapies or debulking surgery followed by maintenance therapies to keep cancer from coming back. The limitation to these therapies is overall toxicity to the patient forcing them to stop treatments or eventual resistance to the therapy. The objective of this study is to evaluate the mechanisms in which the novel drug, SHetA2, alone compares to the competitor, Olaparib. Additionally, discover the genetic differences between attached tumor and floating tumor in ascites.Objective: Our objective was to evaluate the mechanisms in which the novel drug, SHetA2, alone compares to the front-line competitor, Olaparib, in affecting Filamin A and cyclin d1 levels in ovarian cancer. Methods: Individual and combination drug treatments were preformed on two ovarian cancer cell lines and patient samples for cell viability assays. Immunocytochemistry was performed to visualize colocalization of proteins. RNA isolation was performed for Nanostring analysis.
Results: Ovarian cancer cells treated with SHetA2 or olaparib demonstrate a decrease of cyclin D1 on the membrane colocalized with filamin A, a structural protein that facilitates movement by acting as a signaling molecule for downstream effects. Nanostring analysis of attached tumor and spheroids form ascites shows significant differential gene expression in tumor versus ascites.
Conclusions: These results suggest the decrease of cyclin D1 with filamin A upon treatment with SHetA2 or olaparib could be one of the primary factors leading to each drug’s efficacy and additivity with each other. The differential gene expression of tumor versus ascites begins to elucidate the fundamental differences between attached and floating tumors and spheroids.
Citation Format: Laura F. Mortan, Doris Benbrook. Mechanisms of drugs in ovarian cancer and prevention of invasion and metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 673.
Abstract 6768: Matched XPDX™derivative models as a platform for continuity across preclinical drug development
Authors: Millard Melissa , Carlson Aaron , Nadeau Danielle Y. , Burgess Kimberly J. , Simonson Alyssa , Diaz Armando , Wick Michael , DesRochers Teresa 
Published: March 2024

Abstract
Drug discovery is a reductive process in which druglike entities are carried through increasingly complex assay formats to tease out the compounds best suited for human studies. In vivo efficacy remains the benchmark for successful preclinical drug development. Cell-based models are a mainstay in early stages but translatability of different models across platforms remains a challenge. In oncology, patient-derived xenografts (PDX) are the gold standard for animal studies because they recapitulate key features of human tumors including the cellular heterogeneity, growth patterns, and drug response of the original patient tumor. Ex vivo, PDX derivatives have the potential to harness these same traits thereby extending the utility of PDX models to earlier stages of preclinical drug development. The KIYA-Predict™ platform is a clinically validated tool for the assessment of ex vivo drug responses across a broad range of drug classes that when applied to XPDX models shows good correlation to in vivo drug responses and excellent intra-sample reproducibility over time. Working with the well-characterized XenoSTART™ XPDX model repository, Kiyatec has derived 2D cell lines and organotypic 3D-expansion cultures to complement the ex vivo predictive value of our KIYA-PREDICT™ XPDX drug response profiling (DRP) platform. The development of syngeneic models applicable to simpler, high-throughput library screening (2D formats) and lower-throughput more complex mechanistic studies (3D organotypic models) could alleviate the burden and pitfalls of extrapolating data across unrelated models. Matched sets of 2D cell lines (2D-XPDX™) and 3D organotypic (XPDXO™) cultures were established from single cell suspensions of digested, mouse-cell depleted XPDX™ tissue samples. Drug response profiling of the XPDX™ in their various ex vivo culture formats showed relative similarities across platforms. Genomic profiling of the derivates confirmed shared tissue origin and retention of genomic and phenotypic signatures to varying degrees across models. Mechanistic evaluation of 3D organotypic culture demonstrated that disease-relevant biomarkers and processes are maintained. Together these results demonstrate the feasibility of this novel drug discovery platform that avoids ambiguity imparted by discordant models.
Citation Format: Melissa Millard, Aaron Carlson, Danielle Y. Nadeau, Kimberly J. Burgess, Alyssa Simonson, Armando Diaz, Michael Wick, Teresa DesRochers. Matched XPDX™derivative models as a platform for continuity across preclinical drug development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6768.
Abstract 677: Discovery of a first-in-class allosteric inhibitor of the small GTPase Rac1
Authors: Silverman Robert , Cooper Alan , Kar Ronodip , Raman Mayuri V. , Ravirala Ramu , Shah Mubarak Hasan , Mahankali Sandeep , Goka Erik T. 
Published: March 2024

Abstract
The Rac1 signaling pathway is known to be hyperactivated in numerous solid tumors. We developed a Rac1 AlphaLISA assay that is amenable to high-throughput screening (HTS) to screen large libraries of small molecules. Based on molecular modeling of a putative allosteric binding site for several of the hits, we optimized a series of compounds that lead to RP-102124. RP-102124 engages with Rac1 in both biochemical and cellular target engagement assays. RP-102124 has greater potency than previously reported Rac1 inhibitors in biochemical assays, with potent inhibition of phenotypic characteristics of Rac signaling such as cell migration and cytoskeletal rearrangements. RP-102124 is a Racmulti inhibitor with activity against oncogenic Rac1b. RP-102124 is orally bioavailable and shows dose dependent inhibition of tumor growth in xenograft models at doses that are well-tolerated. RP-102124 is a first-in-class allosteric Racmulti inhibitor that shows promising therapeutic potential.
Citation Format: Robert Silverman, Alan Cooper, Ronodip Kar, Mayuri V. Raman, Ramu Ravirala, Mubarak Hasan Shah, Sandeep Mahankali, Erik T. Goka. Discovery of a first-in-class allosteric inhibitor of the small GTPase Rac1 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 677.
Abstract 6779: Modality agnostic tumor models of cancer which can more accurately define drug efficacy and mechanism to help develop more effective therapeutics
Authors: Samuel Preethi , Ochola Damieanus Odour , Del Mundo Huckie , Dave Bhuvanesh 
Published: March 2024

Abstract
Introduction: In the path to clinic, researchers require robust tools to effectively evaluate the capacity of novel therapeutic modalities to generate anti-tumor responses. Using human-relevant, translational ex-vivo models is widely considered to reduce attrition during drug discovery and development for a more effective prediction of clinical outcomes during preclinical testing of drug candidates. Methods: The three levels of our patient derived tumoroid model platform, COMPASS (Custom Organoid Modeling Platform for Accurate SolutionS) was built to be versatile modality-agnostic human on human model system for pre-clinical testing. COMPASS 1 has stroma with epithelium; COMPASS 2 has stroma, epithelium, and immune components (from PBMCs) and COMPASS 3 has stroma, epithelium, immune components, and oxygenation. For widespread adaptation and utilization of our COMPASS platform we encourage extensive characterization by articulating the context of use to help build confidence in cases where limited knowledge and only few real-life cases exist. Results: Our proof-of-concept examples articulating the context of use demonstrate the modality-agnostic adaptability our COMPASS platform brings to the field of preclinical testing. We encourage a collaborative approach with researchers to support their testing needs to build confidence in our model to enable transition from existing screens, assays, and animal models. We envision preclinical use of COMPASS to help stratify patients for clinical trials, identify subpopulations that need dose modification and predict the response of patients and/or their risk of adverse effects. Conclusion: Due to its greater physiological relevance and ability to encompass downstream processes in a time and cost-efficient way, industry and academia should deliberate the impact platform such as COMPASS would have on their workflow and consider adapting to using these models routinely.
Citation Format: Preethi Samuel, Damieanus Odour Ochola, Huckie Del Mundo, Bhuvanesh Dave. Modality agnostic tumor models of cancer which can more accurately define drug efficacy and mechanism to help develop more effective therapeutics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6779.
Abstract 6785: KIYA-PREDICT™ XPDX: An ex vivo 3D spheroid platform for modeling in vivo responses to multiple classes of oncology therapeutics
Authors: Carlson Aaron L. , Dance Natalie W. , Burgess Kimberly J. , Nadeau Danielle Y. , Millard Melissa , Simonson Alyssa , Diaz Armando , Wick Michael , DesRochers Teresa M. 
Published: March 2024

Abstract
Patient-derived xenografts (PDX) are a powerful and commonly used tool in preclinical drug development as they represent an in vivo platform for screening drug response in human tumors that recapitulate many molecular and histological features of the original patient tumor. However, these models are costly and time-intensive, necessitating the development of ex vivo platforms for assessing drug response to PDX-derived tumors to de-risk in vivo studies by aiding in model selection and reducing the number of animals and costs associated with in vivo experimentation. The KIYA-PREDICT™ platform is a clinically validated, ex vivo 3D cell culture platform with demonstrated ability to predict patient response to chemotherapy in high grade glioma and ovarian cancer. Here, we apply this platform to profiling XPDX from XenoSTART’s comprehensive library of well-characterized models as a tool for assessing drug response and mechanism of action ex vivo while also aiding in model selection for in vivo studies. Over 100 XPDX models have been profiled ex vivo for response to several classes of cancer therapeutics, including chemotherapy, targeted therapy, and antibody-drug conjugates (ADCs), demonstrating robust concordance with in vivo drug response. CDK4/6 inhibitors palbociclib and ribociclib evaluated ex vivo in breast XPDX display strong correlation to in vivo response and recapitulate palbociclib resistance. Similarly, G12C inhibitors sotorasib (AMG-510) and adagrasib (MRTX849) screened against a panel of non-small cell lung cancer XPDX ex vivo match in vivo response and drug resistance. Finally, ex vivo and in vivo responses to FDA approved ADC enfortumab vedotin were evaluated in a panel of bladder cancer PDX, with ex vivo and in vivo responses showing good concordance and expected modulation based on Nectin-4 expression levels. The combination of the KIYA-PREDICT™ platform with XenoSTART’s XPDX catalogue is a flexible and powerful tool that can be utilized for streamlining preclinical drug development for a wide range of therapeutic classes.
Citation Format: Aaron L. Carlson, Natalie W. Dance, Kimberly J. Burgess, Danielle Y. Nadeau, Melissa Millard, Alyssa Simonson, Armando Diaz, Michael Wick, Teresa M. DesRochers. KIYA-PREDICT™ XPDX: An ex vivo 3D spheroid platform for modeling in vivo responses to multiple classes of oncology therapeutics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6785.
Abstract 6797: CCR5/CCL4 axis in lung cancer clinicopathological significance and its therapeutic application
Authors: Singh Santosh K. , Singh Rajesh 
Published: March 2024

Abstract
Lung cancer (LC) is the most prevalent type of cancer globally and the leading cause of cancer-related deaths. Based on the histology and type of treatments, LC is divided into small-cells and non-small cell lung cancer (NSCLC) carcinomas, which are more aggressive and less responsive to chemotherapy. Since LC is known to be a highly heterogeneous cell population, treatment is challenging. It has been observed that chemokine receptor-ligand interaction is essential for cancer cells homing to distant sites. Most malignancies, including LC, have established disease status indicators concerning elevated levels of CCL4, a structurally unique chemokine, and its receptor (CCR5). Therefore, treatment strategies that inhibit the LC cell's tumor environment may improve patients' quality of life. However, the CCR5/CCL4 interface in LC invasion and metastasis is poorly understood. In this study, we examined the expression and function of the CCR5/CCL4 axis in the development and invasiveness of LC patient's clinical tissues and cell lines. We conducted immunohistochemistry (IHC) dual staining of CCR5/CCL4 antibodies in LC tissues. Our findings demonstrated significantly (p &lt; 0.001) higher expression of CCR5 and CCL4 in advanced-stage malignant tissues than in normal tissues. The in-vitro analysis of the human LC cell lines NCI-H1437, NCI-H1573, and NCI-H1975 revealed CCL4 activation expressing higher CCR5, determined by immunofluorescence, western blots, flow cytometry, 3D-invasion assay, and RT-qPCR methods. Further, a calcium mobilization assay confirmed the direct interaction between CCR5 and CCL4. However, treating with Maraviroc, a small molecule inhibitor of CCR5, to LC cells blocks their ability to proliferate, demonstrating the crucial role that CCR5-CCL4 chemotaxis plays in LC metastasis. Our findings show both the biological and clinical significance of CCR5 and CCL4 expression, which may serve as potential indicators for metastatic LC. Therefore, inhibiting the CCR5/CCL4 interaction may offer a more effective therapeutic approach for managing the progression of LC.
Citation Format: Santosh K. Singh, Rajesh Singh. CCR5/CCL4 axis in lung cancer clinicopathological significance and its therapeutic application [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6797.
Abstract 681: Rewiring collagen architecture using a highly potent bi-thiazole inhibitor of LOX mediates chemosensitization in triple-negative breast cancer
Authors: Cetin Metin , Saatci Ozge , Rezaeian Abdol-Hossein , Rao Chintada N. , Beneker Chad , Taylor Harrison , Pederson Breanna , Chatzistamou Ioulia , Buckley Brian , Lessner Susan , Angel Peggi , McInnes Campbell , Sahin Ozgur 
Published: March 2024

Abstract
Lysyl oxidase (LOX) is the founding member of the LOX family proteins and mediates the conversion of lysine residues in collagen I and elastin precursors into highly reactive aldehydes, leading to crosslinking of extracellular matrix (ECM). LOX is upregulated in aggressive tumors with high stiffness, and its higher expression correlates with metastasis, therapy resistance, and worse clinical outcome; however, relatively LOX-specific, orally bioavailable inhibitors are still lacking. Here we discovered bi-thiazole derivatives as potent LOX inhibitors by combining a robust screening platform for drug-like molecules, cell- and recombinant protein-based assays. Structure-activity relationship analysis further identified a potent and relatively LOX-specific lead compound (LXG6403) that reduces collagen content and crosslinking, and fibronectin assembly, leading to increased chemoresponse in triple-negative breast cancer (TNBC) cell lines and PDX organoids in 3D collagen. LXG6403 shows favorable pharmacokinetic properties, reduces collagen content and crosslinking, as demonstrated by the state-of-the-art MALDI-MSI and MP-SHG analyses, respectively. This leads to better drug penetration, inhibition of FAK signaling, and induction of ROS generation/DNA damage, leading to G1 arrest and apoptosis in chemoresistant TNBC PDXs. Overall, our novel, potent, tolerable bi-thiazole LOX inhibitor enhances chemoresponse in TNBC, the deadliest breast cancer subtype.
Citation Format: Metin Cetin, Ozge Saatci, Abdol-Hossein Rezaeian, Chintada N. Rao, Chad Beneker, Harrison Taylor, Breanna Pederson, Ioulia Chatzistamou, Brian Buckley, Susan Lessner, Peggi Angel, Campbell McInnes, Ozgur Sahin. Rewiring collagen architecture using a highly potent bi-thiazole inhibitor of LOX mediates chemosensitization in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 681.