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Liu X, Xin Z, Wang K. Patient-derived xenograft model in colorectal cancer basic and translational research. Animal Model Exp Med 2023; 6:26-40. [PMID: 36543756 PMCID: PMC9986239 DOI: 10.1002/ame2.12299] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most popular malignancies globally, with 930 000 deaths in 2020. The evaluation of CRC-related pathogenesis and the discovery of potential therapeutic targets will be meaningful and helpful for improving CRC treatment. With huge efforts made in past decades, the systematic treatment regimens have been applied to improve the prognosis of CRC patients. However, the sensitivity of CRC to chemotherapy and targeted therapy is different from person to person, which is an important cause of treatment failure. The emergence of patient-derived xenograft (PDX) models shows great potential to alleviate the straits. PDX models possess similar genetic and pathological characteristics as the features of primary tumors. Moreover, PDX has the ability to mimic the tumor microenvironment of the original tumor. Thus, the PDX model is an important tool to screen precise drugs for individualized treatment, seek predictive biomarkers for prognosis supervision, and evaluate the unknown mechanism in basic research. This paper reviews the recent advances in constructed methods and applications of the CRC PDX model, aiming to provide new knowledge for CRC basic research and therapeutics.
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Affiliation(s)
- Xiaofeng Liu
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Zechang Xin
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Kun Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
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2
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Davis SL, Hartman SJ, Bagby SM, Schlaepfer M, Yacob BW, Tse T, Simmons DM, Diamond JR, Lieu CH, Leal AD, Cadogan EB, Hughes GD, Durant ST, Messersmith WA, Pitts TM. ATM kinase inhibitor AZD0156 in combination with irinotecan and 5-fluorouracil in preclinical models of colorectal cancer. BMC Cancer 2022; 22:1107. [PMID: 36309653 PMCID: PMC9617348 DOI: 10.1186/s12885-022-10084-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/11/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
AZD0156 is an oral inhibitor of ATM, a serine threonine kinase that plays a key role in DNA damage response (DDR) associated with double-strand breaks. Topoisomerase-I inhibitor irinotecan is used clinically to treat colorectal cancer (CRC), often in combination with 5-fluorouracil (5FU). AZD0156 in combination with irinotecan and 5FU was evaluated in preclinical models of CRC to determine whether low doses of AZD0156 enhance the cytotoxicity of irinotecan in chemotherapy regimens used in the clinic.
Methods
Anti-proliferative effects of single-agent AZD0156, the active metabolite of irinotecan (SN38), and combination therapy were evaluated in 12 CRC cell lines. Additional assessment with clonogenic assay, cell cycle analysis, and immunoblotting were performed in 4 selected cell lines. Four colorectal cancer patient derived xenograft (PDX) models were treated with AZD0156, irinotecan, or 5FU alone and in combination for assessment of tumor growth inhibition (TGI). Immunofluorescence was performed on tumor tissues. The DDR mutation profile was compared across in vitro and in vivo models.
Results
Enhanced effects on cellular proliferation and regrowth were observed with the combination of AZD0156 and SN38 in select models. In cell cycle analysis of these models, increased G2/M arrest was observed with combination treatment over either single agent. Immunoblotting results suggest an increase in DDR associated with irinotecan therapy, with a reduced effect noted when combined with AZD0156, which is more pronounced in some models. Increased TGI was observed with the combination of AZD0156 and irinotecan as compared to single-agent therapy in some PDX models. The DDR mutation profile was variable across models.
Conclusions
AZD0156 and irinotecan provide a rational and active combination in preclinical colorectal cancer models. Variability across in vivo and in vitro results may be related to the variable DDR mutation profiles of the models evaluated. Further understanding of the implications of individual DDR mutation profiles may help better identify patients more likely to benefit from treatment with the combination of AZD0156 and irinotecan in the clinical setting.
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3
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Bioinformatic analysis of key pathways and genes shared between endometriosis and ovarian cancer. Arch Gynecol Obstet 2021; 305:1329-1342. [DOI: 10.1007/s00404-021-06285-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 10/13/2021] [Indexed: 12/11/2022]
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4
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Lee MW, Miljanic M, Triplett T, Ramirez C, Aung KL, Eckhardt SG, Capasso A. Current methods in translational cancer research. Cancer Metastasis Rev 2021; 40:7-30. [PMID: 32929562 PMCID: PMC7897192 DOI: 10.1007/s10555-020-09931-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/04/2020] [Indexed: 12/22/2022]
Abstract
Recent developments in pre-clinical screening tools, that more reliably predict the clinical effects and adverse events of candidate therapeutic agents, has ushered in a new era of drug development and screening. However, given the rapid pace with which these models have emerged, the individual merits of these translational research tools warrant careful evaluation in order to furnish clinical researchers with appropriate information to conduct pre-clinical screening in an accelerated and rational manner. This review assesses the predictive utility of both well-established and emerging pre-clinical methods in terms of their suitability as a screening platform for treatment response, ability to represent pharmacodynamic and pharmacokinetic drug properties, and lastly debates the translational limitations and benefits of these models. To this end, we will describe the current literature on cell culture, organoids, in vivo mouse models, and in silico computational approaches. Particular focus will be devoted to discussing gaps and unmet needs in the literature as well as current advancements and innovations achieved in the field, such as co-clinical trials and future avenues for refinement.
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Affiliation(s)
- Michael W Lee
- Department of Medical Education, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Mihailo Miljanic
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Todd Triplett
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Craig Ramirez
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Kyaw L Aung
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - S Gail Eckhardt
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Anna Capasso
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
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5
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Hu W, Wang G, Chen Y, Yarmus LB, Liu B, Wan Y. Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma. Aging (Albany NY) 2020; 12:16514-16538. [PMID: 32855362 PMCID: PMC7485744 DOI: 10.18632/aging.103775] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 07/14/2020] [Indexed: 12/24/2022]
Abstract
In recent years, personalized cancer immunotherapy, especially stratification-driven precision treatments have gained significant traction. However, due to the heterogeneity in clinical cohorts, the uncombined analysis of stratification/therapeutics may lead to confusion in determining ideal therapeutic options. We report that the coupled immune stratification and drug repurposing could facilitate identification of therapeutic candidates in patients with lung adenocarcinoma (LUAD). First, we categorized the patients into four groups based on immune gene profiling, associated with distinct molecular characteristics and clinical outcomes. Then, the weighted gene co-expression network analysis (WGCNA) algorithm was used to identify co-expression modules of each groups. We focused on C3 group which is characterized by low immune infiltration (cold tumor) and wild-type EGFR, posing a significant challenge for treatment of LUAD. Five drug candidates against the C3 status were identified which have potential dual functions to correct aberrant immune microenvironment and also halt tumorigenesis. Furthermore, their steady binding affinity against the targets was verified through molecular docking analysis. In sum, our findings suggest that such coupled analysis could be a promising methodology for identification and exploration of therapeutic candidates in the practice of personalized immunotherapy.
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Affiliation(s)
- Weilei Hu
- Institute of Translational Medicine, Zhejiang University, Hangzhou 310029, China.,Center for Disease Prevention Research and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, United States
| | - Guosheng Wang
- The Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States
| | - Yundi Chen
- The Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States
| | - Lonny B Yarmus
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21218, United States
| | - Biao Liu
- Department of Pathology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou 215006, Jiangsu, China
| | - Yuan Wan
- The Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States
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6
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Pitts TM, Simmons DM, Bagby SM, Hartman SJ, Yacob BW, Gittleman B, Tentler JJ, Cittelly D, Ormond DR, Messersmith WA, Eckhardt SG, Diamond JR. Wee1 Inhibition Enhances the Anti-Tumor Effects of Capecitabine in Preclinical Models of Triple-Negative Breast Cancer. Cancers (Basel) 2020; 12:cancers12030719. [PMID: 32204315 PMCID: PMC7140086 DOI: 10.3390/cancers12030719] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 03/12/2020] [Accepted: 03/17/2020] [Indexed: 12/31/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype defined by lack of hormone receptor expression and non-amplified HER2. Adavosertib (AZD1775) is a potent, small-molecule, ATP-competitive inhibitor of the Wee1 kinase that potentiates the activity of many DNA-damaging chemotherapeutics and is currently in clinical development for multiple indications. The purpose of this study was to investigate the combination of AZD1775 and capecitabine/5FU in preclinical TNBC models. TNBC cell lines were treated with AZD1775 and 5FU and cellular proliferation was assessed in real-time using IncuCyte® Live Cell Analysis. Apoptosis was assessed via the Caspase-Glo 3/7 assay system. Western blotting was used to assess changes in expression of downstream effectors. TNBC patient-derived xenograft (PDX) models were treated with AZD1775, capecitabine, or the combination and assessed for tumor growth inhibition. From the initial PDX screen, two of the four TNBC PDX models demonstrated a better response in the combination treatment than either of the single agents. As confirmation, two PDX models were expanded for statistical comparison. Both PDX models demonstrated a significant growth inhibition in the combination versus either of the single agents. (TNBC012, p < 0.05 combo vs. adavosertib or capecitabine, TNBC013, p < 0.01 combo vs. adavosertib or capecitabine.) An enhanced anti-proliferative effect was observed in the adavosertib/5FU combination treatment as measured by live cell analysis. An increase in apoptosis was observed in two of the four cell lines in the combination when compared to single-agent treatment. Treatment with adavosertib as a single agent resulted in a decrease in p-CDC2 in a dose-dependent manner that was also observed in the combination treatment. An increase in γH2AX in two of the four cell lines tested was also observed. No significant changes were observed in Bcl-xL following treatment in any of the cell lines. The combination of adavosertib and capecitabine/5FU demonstrated enhanced combination effects both in vitro and in vivo in preclinical models of TNBC. These results support the clinical investigation of this combination in patients with TNBC, including those with brain metastasis given the CNS penetration of both agents.
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Affiliation(s)
- Todd M. Pitts
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
- Correspondence:
| | - Dennis M. Simmons
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - Stacey M. Bagby
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - Sarah J. Hartman
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - Betelehem W. Yacob
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - Brian Gittleman
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - John J. Tentler
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - Diana Cittelly
- Department of Pathology, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA;
| | - D. Ryan Ormond
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA;
| | - Wells A. Messersmith
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
| | - S. Gail Eckhardt
- Dell Medical School, Department of Oncology, The University of Texas Austin, 1701 Trinity Street, Austin, TX 78712, USA;
| | - Jennifer R. Diamond
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO 80045, USA; (D.M.S.); (S.M.B.); (S.J.H.); (B.W.Y.); (B.G.); (J.J.T.); (W.A.M.); (J.R.D.)
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7
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Zhong S, Bai Y, Wu B, Ge J, Jiang S, Li W, Wang X, Ren J, Xu H, Chen Y, Zhao G. Selected by gene co-expression network and molecular docking analyses, ENMD-2076 is highly effective in glioblastoma-bearing rats. Aging (Albany NY) 2019; 11:9738-9766. [PMID: 31706255 PMCID: PMC6874459 DOI: 10.18632/aging.102422] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/28/2019] [Indexed: 12/14/2022]
Abstract
Background: Glioblastoma is the most common type of malignant brain tumor. Bioinformatics technology and structure biology were effectively and systematically used to identify specific targets in malignant tumors and screen potential drugs. Results: GBM patients have higher AURKA and KDR mRNA expression compared with normal samples. Then, we identified a small molecular compound, ENMD-2076, could effectively inhibit Aurora kinase A and VEGFR-2 (encoded by KDR) activities. ENMD-2076 is predicted without toxic properties and also has absorption and gratifying brain/blood barrier penetration ability. Further results demonstrated that ENMD-2076 could significantly inhibit GBM cell lines proliferation and vitality, it also suppressed GBM cells migration and invasion. ENMD-2076 induced glioblastoma cell cycle arrest in G2-M phase and apoptosis by inhibiting PI3K/AKT/mTOR signaling pathways. Additionally, ENMD-2076 prolonged the median survival time of tumor-bearing rats and restrained growth rate of tumor volume in vivo. Conclusions: Our findings reveal that ENMD-2076 is a promising drug in dealing with glioblastoma and have a perspective application. Methods: We show that AURKA and KDR genes are hub driver genes in glioblastoma with bioinformatics technology including WGCNA analysis, PPI network, GO, KEGG analysis and GSEA analysis. After identifying a compound via virtual screening analysis, further experiments were carried out to examine the anti-glioblastoma activities of the compound in vivo and in vitro.
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Affiliation(s)
- Sheng Zhong
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.,Department of Bioinformatics, Harvard Medical School, Boston, MA 02115, USA
| | - Yang Bai
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China.,Clinical College, Jilin University, Changchun, China
| | - Bo Wu
- Clinical College, Jilin University, Changchun, China.,Department of Orthopedics, The First Hospital of Jilin University, Changchun, China
| | - Junliang Ge
- Clinical College, Jilin University, Changchun, China
| | - Shanshan Jiang
- Institute of Zoology, China Academy of Science, Beijing, China
| | - Weihang Li
- Clinical College, Jilin University, Changchun, China
| | - Xinhui Wang
- Department of Oncology, The First Hospital of Jilin University, Changchun, China
| | - Junan Ren
- Clinical College, Jilin University, Changchun, China
| | - Haiyang Xu
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Yong Chen
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Gang Zhao
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
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Capasso A, Bagby SM, Dailey KL, Currimjee N, Yacob BW, Ionkina A, Frank JG, Kim DJ, George C, Lee YB, Benaim E, Gittleman B, Hartman SJ, Tan AC, Kim J, Pitts TM, Eckhardt SG, Tentler JJ, Diamond JR. First-in-Class Phosphorylated-p68 Inhibitor RX-5902 Inhibits β-Catenin Signaling and Demonstrates Antitumor Activity in Triple-Negative Breast Cancer. Mol Cancer Ther 2019; 18:1916-1925. [PMID: 31488700 DOI: 10.1158/1535-7163.mct-18-1334] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 06/27/2019] [Accepted: 08/23/2019] [Indexed: 12/31/2022]
Abstract
RX-5902 is a first-in-class anticancer agent targeting phosphorylated-p68 and attenuating nuclear shuttling of β-catenin. The purpose of this study was to evaluate the efficacy of RX-5902 in preclinical models of triple-negative breast cancer (TNBC) and to explore effects on β-catenin expression. A panel of 18 TNBC cell lines was exposed to RX-5902, and changes in proliferation, apoptosis, cellular ploidy, and effector protein expression were assessed. Gene expression profiling was used in sensitive and resistant cell lines with pathway analysis to explore pathways associated with sensitivity to RX-5902. The activity of RX-5902 was confirmed in vivo in cell line and patient-derived tumor xenograft (PDX) models. RX-5902 demonstrated potent antiproliferative activity in vitro against TNBC cell lines with an average IC50 of 56 nmol/L in sensitive cell lines. RX-5902 treatment resulted in the induction of apoptosis, G2-M cell-cycle arrest, and aneuploidy in a subset of cell lines. RX-5902 was active in vivo against TNBC PDX models, and treatment resulted in a decrease in nuclear β-catenin. RX-5902 exhibited dose-proportional pharmacokinetics and plasma and tumor tissue in nude mice. Pathway analysis demonstrated an increase in the epithelial-to-mesenchymal transformation (EMT), TGFβ, and Wnt/β-catenin pathways associated with sensitivity to RX-5902. RX-5902 is active against in vitro and in vivo preclinical models of TNBC. Target engagement was confirmed with decreases in nuclear β-catenin and MCL-1 observed, confirming the proposed mechanism of action. This study supports the continued investigation of RX-5902 in TNBC and combinations with immunotherapy.
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Affiliation(s)
- Anna Capasso
- Department of Oncology, Dell Medical School, Livestrong Cancer Institutes, University of Texas at Austin, Austin, Texas.
| | - Stacey M Bagby
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Kyrie L Dailey
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Naomi Currimjee
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Betelehem W Yacob
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Anastasia Ionkina
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | | | | | | | - Young B Lee
- Rexahn Pharmaceuticals, Inc., Rockville, Maryland
| | - Ely Benaim
- Rexahn Pharmaceuticals, Inc., Rockville, Maryland
| | - Brian Gittleman
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Sarah J Hartman
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Aik Choon Tan
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jihye Kim
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Todd M Pitts
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - S Gail Eckhardt
- Department of Oncology, Dell Medical School, Livestrong Cancer Institutes, University of Texas at Austin, Austin, Texas
| | - John J Tentler
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jennifer R Diamond
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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