bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract 2741: A communication theory framework for modeling cytokine-mediated signaling in healthy and breast cancer derived peripheral blood immune cells
Authors: Matache Adina , Karolak Aleksandra , Branciamore Sergio , Rodin Andrei , Lee Peter P. , Rockne Russell C. 
Published: June 2022

Abstract
Previous studies have shown that approximately 40% of estrogen receptor positive (ER+) breast cancer (BC) patients harbor immune signaling defects in their blood at diagnosis that predicts overall survival. The aim of this work is to apply communication theory and signal processing methods to model cytokine-mediated signaling errors in immune cells in the peripheral blood. Our approach uses communication theory concepts to develop a communication system model consisting of a transmitter, receiver, and channel, applied to the JAK/STAT signaling pathway and tested using multi-color flow cytometry analysis of peripheral blood mononuclear cells stimulated with IFNγ, IL-2, IL-6, IL-4, IL-10, IL-12, or TGFβ in samples from 2 BC patients and 4 healthy controls. We use our model to estimate the detection error rate when one of the 7 cytokines is being transduced through the JAK/STAT signaling pathway, but its signal is being received on multiple phosphorylated signal transducers and activators of transcription (pSTAT) molecules. In addition, we extend the measured error rate value to an error rate curve by varying the signal-to-noise ratio available to the receiver in our system model. Our results show a trend towards higher detection error rates in immune cells from BC patients as compared to healthy controls, which may indicate altered immune signaling and incorrect cell decisions in these patients. Also, considering different cell subtypes, our results show two orders of magnitude increase in error rate in CD4+ memory T cells compared to CD4+ naïve T cells in BC patients. With further development, we believe that our communication theory model and quantification of optimal signal detection in cells will provide a better understanding into how immune cells can accurately “decode” information to respond properly to various signals and how the immune signaling is altered in BC patients, causing better or worse outcomes. The benefit of our novel approach is that it integrates all the transmitted (cytokines) and received signals (pSTATs) into a single communications framework that can be efficiently analyzed together.
Citation Format: Adina Matache, Aleksandra Karolak, Sergio Branciamore, Andrei Rodin, Peter P. Lee, Russell C. Rockne. A communication theory framework for modeling cytokine-mediated signaling in healthy and breast cancer derived peripheral blood immune cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2741.
Abstract 2751: The modular Tmod dual_receptor system exploits tumor deletions to achieve robust tumor-selective cytotoxicity
Authors: Xu Han , Hamburger Agnes , Ando Yuta , Asuelime Grace , Bolanos Kristian , Daris Mark , DiAndreth Breanna , Imun Maria C. , Lee Wen-Hua , Li Chuck Z. , Luna Breanna , Manry Diane , Martin Aaron D. , McElvain Michele E. , Mock Jee-Young , Naradikian Martin , Sandberg Mark L. , Oh Julyun , Shafaattalab Sanam , Sharma Shruti , Tokatlian Talar , Wang Xueyin , Wong Lu Min , Kamb Alexander 
Published: June 2022

Abstract
We set out to examine the behavior in preclinical models of a dual-receptor cell therapy approach (Tmod࣪ system) designed to exploit instances of somatic LOH in cancer that can be readily identified through molecular diagnostics. We utilized quantitative pharmacologic assays in vitro and dual-flank efficacy/selectivity models in vivo to test the activity of a variety of constructs comprised of: (i) CAR “activators” that target tumor-associated antigens (TAAs) such as CEA, MSLN and others; and, (ii) LIR-1-based “blockers” that target HLA class I proteins. We generated substantial datasets around multiple targets, including well known tumor-associated antigens (TAAs). In the presence of the HLA class I blocker antigen, Tmod cells were OFF within a wide range of activator antigen expression levels on the “normal” target cells. They were ON when tumor cells expressed the TAA without the HLA blocker antigen, and killed tumor cells selectively even in mixed tumor-normal cell populations. The Tmod system transformed imperfect TAAs into true tumor-selective targets, where the activity of the engineered T cells is controlled by the presence/absence of the HLA blocker antigen. The system was sufficiently modular to use with autologous and allogeneic products. Several of these Tmod constructs are advancing to the clinic where a robust genetic selection tool is being used to screen patients for treatment and match them with a suitable Tmod therapy. In summary, Tmod is a robust system with quantitative pharmacologic behavior in preclinical models consistent with efficacy and safety across a range of targets.
Citation Format: Han Xu, Agnes Hamburger, Yuta Ando, Grace Asuelime, Kristian Bolanos, Mark Daris, Breanna DiAndreth, Maria C. Imun, Wen-Hua Lee, Chuck Z. Li, Breanna Luna, Diane Manry, Aaron D. Martin, Michele E. McElvain, Jee-Young Mock, Martin Naradikian, Mark L. Sandberg, Julyun Oh, Sanam Shafaattalab, Shruti Sharma, Talar Tokatlian, Xueyin Wang, Lu Min Wong, Alexander Kamb. The modular Tmod dual_receptor system exploits tumor deletions to achieve robust tumor-selective cytotoxicity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2751.
Abstract 2783: Increased tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) expression in normal colonic mucosa with imipridone ONC201/TIC10 treatment: A potential biomarker for chemoprevention studies
Authors: Raufi Alexander G. , De La Cruz Arielle , George Andrew , Hacking Sean , Madka Venkateshwar , Prabhu Varun , Safran Howard , Zhou Lanlan , Brenner Dean , Rao Chinthalapally V. , El-Deiry Wafik S. 
Published: June 2022

Abstract
Colorectal cancer (CRC) is the second leading cause of cancer-related death in the United States and currently the most effective method at reducing risk of death is through screening. Although these strategies have reduced the incidence of CRC, they are invasive, costly, and have low rates of compliance. Chemoprevention aims to prevent or delay the onset of CRC through eradication or prevention of precursor colonic adenomas, ideally with affordable and nontoxic drugs. The imipridone ONC201, which induces apoptosis, in part, through upregulation of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), is currently undergoing preclinical evaluation as a potential chemopreventive agent. In preclinical models, we found that treatment with ONC201 is capable of increasing TRAIL expression in normal cells and can improve tumor suppression through immune surveillance by the innate immune system. To further assess potential biomarkers of response to ONC201, we evaluated expression of TRAIL and death receptor 5 (DR5), as well as markers related to cellular stemness such as LGR5 in colonic mucosa obtained from mice treated with ONC201 and vehicle controls. In this study, 16-week-old female C57BL/6 mice were administered vehicle or ONC201 50mg/kg (n=11) body weight by oral gavage twice a week for a total of five doses. Both immunohistochemistry and western blotting were used to evaluate differential expression of various potential biomarkers in both fresh frozen and FFPE colonic tissue. Using western blotting we found a significant increase in TRAIL expression in normal colonic mucosa obtained from mice treated with ONC201 as compared to vehicle controls. This finding was further validated using immunohistochemistry. Other markers, such as DR5 appeared unaffected with treatment. As efforts are currently underway to develop a CRC chemoprevention trial using ONC201, TRAIL may represent a biomarker of interest. Further analysis of stemness markers, as well as serum analyses are currently in process and may reveal other potential biomarkers for use in chemoprevention trial development.
Citation Format: Alexander G. Raufi, Arielle De La Cruz, Andrew George, Sean Hacking, Venkateshwar Madka, Varun Prabhu, Howard Safran, Lanlan Zhou, Dean Brenner, Chinthalapally V. Rao, Wafik S. El-Deiry. Increased tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) expression in normal colonic mucosa with imipridone ONC201/TIC10 treatment: A potential biomarker for chemoprevention studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2783.
Abstract 2791: Integrating biospecimen science approaches into clinical assay development-PAR 22-049
Authors: Agrawal Lokesh , Rao Abhi , Guan Ping , Ossandon Miguel , Moore Helen 
Published: June 2022

Abstract
Introduction to the problem: Biospecimens are the essential starting materials for the biomarker assays that enable precision medicine. Biospecimen preanalytical factors can directly influence molecular results from assays conducted for basic research, biomarker discovery, and biomarker validation, and can also influence the development of validated clinical assays. The U.S. National Cancer Institute (NCI) Biorepositories and Biospecimen Research Branch supports extramural research as a part of this FOA to investigate and mitigate preanalytical challenges facing clinical assay development and analytical validation in a variety of biospecimen types. The overall goal of this initiative is to expedite biomarker clinical assay development through evidence based standardization of biospecimen handling practices. The work is centered on emerging and clinically relevant biomarker assays conducted on a variety of molecular platforms.
Proposed solution and methods: Researchers may investigate tissue and fluid biospecimens including core biopsies, fine needle aspirates, tissue exudates, blood, urine, saliva, breast milk, feces, sweat, CSF, and pleural and esophageal aspirates. Investigator designed experiments explore how different biospecimen preanalytical conditions affect biomarkers in a clinical setting. To date, ten grants have been funded. The grants address important areas in biospecimen science in both liquid and solid biopsy biopsies in breast cancer, glioblastomas, lung cancer, bladder cancer, prostate cancer, cutaneous and peripheral T cell lymphoma. Investigators can collaborate with each other and with the NCI, FDA and NIST through the U01 funding mechanism.
Conclusions: The results from this research program will elucidate how analytical quantification of clinically relevant biomarkers is affected by patient context factors, variation in biospecimen collection, processing, and storage procedures, and how such effects can be mitigated to improve the development, performance and accuracy of clinical biomarker assays utilized in clinical research and patient care. The receipt dates for this program, PAR 22 049 in 2022, are January 11, 2022, June 7th, 2022, and September 13th, 2022.
Citation Format: Lokesh Agrawal, Abhi Rao, Ping Guan, Miguel Ossandon, Helen Moore. Integrating biospecimen science approaches into clinical assay development-PAR 22-049 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2791.
Abstract 2793: Minimal residual disease (MRD) as a predictive biomarker/endpoint for novel drug development
Authors: Jones Nicholas , Ngo Brian , Davis Floyd , Fancke Benjamin 
Published: June 2022

Abstract
MRD is defined as the continual presence of cancer cells in patients post therapy that is below the threshold of detection by conventional morphologic or radiologic assessments. Monitoring patient status clinically as MRD negative or MRD positive has become the basis for predicting outcomes, remission or reoccurrence, as well as determining therapeutic options. The three primary methods to assess MRD status in patients include Flow Cytometry (FC), Polymerase Chain Reaction (PCR) and Next-Generation Sequencing (NGS). All three are highly quantitative measurements with a high degree of sensitivity to detect “new” circulating tumor cells or ctDNA that can potentially indicate disease recurrence before it happens. The choice of MRD methodology usually depends on the tumor type, liquid or solid. Flow Cytometry has been widely used to monitor MRD status in patients with hematologic malignancies. Specifically designed MRD panels have been used clinically in CLL, MM, CML and AML patients. In addition to its prognostic/diagnostic relevance, recent guidance by the FDA is now driving the use of MRD testing as a predictive biomarker/endpoint for novel cancer drug development. NeoGenomics Pharma Services has provided flow cytometry MRD expertise to multiple sponsors conducting clinical trials to evaluate the effectiveness of novel cancer therapy. In a CLL study, NeoGenomics employed the ERIC MRD assessment to monitor patient status during therapeutic intervention at various points throughout treatment. Representative patient data show progression from full, active disease prior to therapy to non-detectable disease levels below 0.01%MRD. These examples show patient progression through multiple cycles of treatment to full remission. Clearly, this is an example of how MRD can serve as the primary “biomarker” to evaluate a patient’s response to novel drug therapy in clinical trials. This presentation will further discuss the data and the relevance of MRD testing to support new drug development.
Citation Format: Nicholas Jones, Brian Ngo, Floyd Davis, Benjamin Fancke. Minimal residual disease (MRD) as a predictive biomarker/endpoint for novel drug development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2793.
Abstract 281: Culture of circulating tumor cells isolated from cancer patients with metastatic disease
Authors: Sultanpuram Nikhila Reddy , Kim Isaiah , Sendi Hossein , Kanpe Nicole , Hagen Tilden , Wagner Kyle , Wang Andrew 
Published: June 2022

Abstract
OBJECTIVE: The purpose of this study is to investigate the feasibility of using decellularized tissue ECM to culture circulating tumor cells (CTCs) collected from patients with metastatic solid tumor malignancies.
BACKGROUND: Circulating tumor cells (CTCs) have been shown to recapitulate the heterogeneity and biology of patients’ cancers. However, there is a lack of technologies that can culture patient CTCs. Our group has previously shown that tumor cells cultured on decellularized tissue closely mimic the in vivo condition. Therefore, we hypothesized that we can utilized decellularized tissue as strata to culture CTCs.
METHODS: Peripheral blood samples were collected from patients with metastatic disease who had not received any systemic therapy in the last six months or are progressing on systemic therapy. PMBC layer, which contains lymphocytes, monocytes, dendritic cells and CTCs (in metastatic patients) is separated from whole blood by Ficoll gradient. The cells are then mixed with decellularized lung or liver material and cultured using stemcell media.
RESULTS: 26 subjects were enrolled in this study. We were able to generate cell colonies from 12 patients’ samples (either colonies on liver or lung strata). Of the patient samples that did not develop tumor colonies, 9/14 subjects had no metastatic tumors in either lung or liver. Colonies from the cultures were characterized by histological staining and SEM imaging. Of the samples that the tumor colonies were large enough for H&E, we observed phenotypes that are indicative of tumor cell colony. Ongoing work aim to further validate the CTC cultures using genomic sequencing and RNAse
CONCLUSION: We showed decellularizd organ technology can be utilized to generate CTC cultures.
Citation Format: Nikhila Reddy Sultanpuram, Isaiah Kim, Hossein Sendi, Nicole Kanpe, Tilden Hagen, Kyle Wagner, Andrew Wang. Culture of circulating tumor cells isolated from cancer patients with metastatic disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 281.
Abstract 2857: DR30303, a SMART-VHHBody powered anti-CLDN18.2 VHH-Fc with enhanced ADCC activity for the treatment of gastric and pancreatic cancers
Authors: Fang Yongliang , Yao Gaofeng , Zhong Weixiang , Duan Wenwen , Zhou Zhenxing , Wen Xiaofang , Chen Yonglu , Fang Jingjin , Wang Yongwei , Jiang Weiqin , Xu Junfang , Huang Yanshan 
Published: June 2022

Abstract
Claudin 18.2 (CLDN18.2) is aberrantly overexpressed in gastric cancer, pancreatic adenocarcinomas, and a fraction of non-small cell lung cancer. Its tumor specificity allows CLDN18.2 to be an attractive target for developing biotherapeutics for the treatment of gastric and pancreatic cancers. DR30303 is a humanized ant-CLDN18.2 heavy chain antibody Fc fusion protein (VHH-Fc) generated via Doer Biologics’ proprietary SMART-VHHBody platform. DR30303 exhibits strong and highly selective binding to CLDN18.2, but not its close splicing variant CLDN18.1. In addition, it exhibits enhanced ADCC activity as a result of Fc engineering and low immunogenicity risk validated via in-silico T-cell epitope predictor. Its smaller size (78 kDa vs 150 kDa for conventional full-length IgG) allows DR30303 to penetrate solid tumors faster and deeper, resulting in a strong competitive advantage and differentiation compared with other anti-CLDN18.2 antibodies in the market. Single-agent therapeutic potency of DR30303 was demonstrated in various gastric and pancreatic cell-derived xenograft (CDX) mouse models with a minimum effective dose of 0.3 mg/kg dose of DR30303 led to TGI≥90%, which is significantly more potent (p&lt;0.05) than the benchmark reference Zolbetuximab analog in same molar ratio. Moreover, DR30303 showed strong synergistic anti-tumor activities with paclitaxel, gemcitabine, and EOF (epirubicin, oxaliplatin, and fluorouracil) in patient-derived xenograft (PDX) mouse models (gastric cancer) and CDX model (pancreatic cancer). DR30303 also demonstrated favorable pharmacokinetic properties (t1/2~ 120 hours) and tolerable toxicities (MTD≥ 748.5 mg) in both SD rats and cynomolgus monkeys. Doer Biologics submitted IND to the NMPA in November 2021 and plans to initiate the Phase 1 clinical trial in H1 2022 upon IND approval.
Citation Format: Yongliang Fang, Gaofeng Yao, Weixiang Zhong, Wenwen Duan, Zhenxing Zhou, Xiaofang Wen, Yonglu Chen, Jingjin Fang, Yongwei Wang, Weiqin Jiang, Junfang Xu, Yanshan Huang. DR30303, a SMART-VHHBody powered anti-CLDN18.2 VHH-Fc with enhanced ADCC activity for the treatment of gastric and pancreatic cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2857.
Abstract 2885: Generation of TCR-like fully human antibodies against HLA-antigen-peptide complexes using HLA transgenic RenMice
Authors: Du Jun , Wang Nannan , Hui Li , Wang Ruixue , Liu Taolin , Lin Qingcong 
Published: June 2022

Abstract
With the development of immunotherapy in recent years, therapeutic antibodies have become a major player combating cancer with the limitation of recognizing cell surface or secreted molecules. In contrast, the human T cell receptor (TCR) recognizes its cognate peptide antigen when presented on human leukocyte antigen (HLA) molecules, and thus detects a broader range of targets including intracellular proteins. Here we established an innovative strategy of generating fully human TCR mimic (TCRm) antibodies that can recognize antigen with a higher specificity and affinity. Previously, Biocytogen established RenMab™ and Renlite࣪ mice (RenMice). These humanized immunoglobulin mouse models generate fully human antibodies that carry human Ig heavy chain and human kappa light chain variable domains. Here, HLA genes were introduced into RenMice to build tolerance towards HLA. When immunized with HLA- peptide complexes, these mice generate antibodies that specifically target the HLA-Peptide complex, with no reactivity to HLA alone nor other peptide-HLA complexes. Compared to natural TCRs, these TCRm antibodies show higher affinity and specificity. Using optimized immunization methods and high-throughput screening, our antibody discovery platform generated fully human TCRm antibodies from HLA/RenMab™ and HLA/Renlite™ mice. Producing TCR-like binders with this unique TCRm technology can become a very powerful tool in the immunotherapy field.
Citation Format: Jun Du, Nannan Wang, Li Hui, Ruixue Wang, Taolin Liu, Qingcong Lin. Generation of TCR-like fully human antibodies against HLA-antigen-peptide complexes using HLA transgenic RenMice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2885.
Abstract 2907: 1C3, a Novel non-blocking anti-human TNFR2 antibody generated from RenMice, exhibits promising anti-tumor activity and safety in syngeneic tumor models in humanized TNFR2 mice
Authors: Yang Yongfei , Cao Shuzhen , Zhang Jing , Shao Zhe , Jiang Xueyuan , Duan Qingya , Tian Maopeng , Mei Sen , Yu Luke (Zhaoxue) 
Published: June 2022

Abstract
Regulatory T Cells (Treg) inhibit effector T cell (Teff) activity in the tumor microenvironment (TME). Therefore, depletion of regulatory T cells (Treg cells) is a promising therapeutic strategy for tumor immunotherapy. Tumor necrosis factor receptor-2 (TNFR2) is highly expressed on Treg cells and is a potential target for anti-tumor therapy. A TNFR2 non-blocking antibody (1C3) was generated from humanized IgG mice (RenMice), which is an effective platform for human antibody generation. 1C3 was selected from a large panel of antibody candidates through an unbiased, high-throughput in vivo efficacy screen in syngeneic tumor mouse models in humanized TNFR2 mice. Compared with other TNFR2 antagonistic antibodies, 1C3 effectively promoted the proliferation of CD8+ cytotoxic T cells in vitro, a population that is inhibited by Treg cells. To evaluate 1C3 efficacy and safety in vivo, syngeneic mouse tumor models were established. 1C3 monotherapy significantly inhibited tumor growth in a dose-dependent manner in syngeneic tumor mouse models in TNFR2 humanized mice. In combination with anti-human PD-1 or PD-L1 antibody, 1C3 also greatly increased antitumor activity compared to the monotherapy of each therapeutic agent. Mechanistically, 1C3 treatment significantly increased the ratio of Teff/Treg in the TME. In addition, 1C3 was well tolerated in TNFR2 humanized mice, and no side effects were observed even when the dose was increased to 100 mg/kg. Taken together, our data demonstrates that 1C3 is a novel anti-TNFR2 antibody for anti-tumor therapy and provides a great potential for the next generation of immunotherapy.
Citation Format: Yongfei Yang, Shuzhen Cao, Jing Zhang, Zhe Shao, Xueyuan Jiang, Qingya Duan, Maopeng Tian, Sen Mei, Luke (Zhaoxue) Yu. 1C3, a Novel non-blocking anti-human TNFR2 antibody generated from RenMice, exhibits promising anti-tumor activity and safety in syngeneic tumor models in humanized TNFR2 mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2907.