14 results on '"K. McEachern"'
Search Results
2. 1096 The PARP14 inhibitor RBN-3143 suppresses skin inflammation in preclinical models
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M. Niepel, M. Vasbinder, K. Kunii, G. Bin, E. Mateer, C. Coutts, K. Kuplast-Barr, H. Kaur, J. Novak, D. Blackwell, N. Perl, J.R. Molina, L.B. Schenkel, K. Swinger, K. McEachern, V. Bozon, C.T. Richardson, L. Beck, S. Parasuraman, K. Kuntz, and H. Keilhack
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Cell Biology ,Dermatology ,Molecular Biology ,Biochemistry - Published
- 2023
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3. 27O First-in-class first-in-human phase I trial of RBN-2397 in patients with advanced solid tumors validates PARP7 as a novel anticancer therapeutic target
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T.A. Yap, A. Cervantes, G. Falchook, M. Patel, D. Juric, S.N. Waqar, E. Schenk, G. Shapiro, V. Boni, C.A. Perez, B. Burtness, Y. Najjar, F.E. Racca, K.I. Rojas Laimito, K. Kuplast-Barr, K. McEachern, M. Samant, V. Bozón, S. Parasuraman, and M.L. Johnson
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Cancer Research ,Oncology - Published
- 2023
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4. Preliminary safety, efficacy, and PK/PD characterization from GARNET, a phase I clinical trial of the anti–PD-1 monoclonal antibody, TSR-042, in patients with recurrent or advanced MSI-H endometrial cancer
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Ellie Im, S. Lu, K. Yu Jen, S. Dunlap, D. Jenkins, Susan Ellard, Charles A. Leath, Lucy Gilbert, Ana Oaknin, Victor Moreno, W. Guo, K. McEachern, and Rebecca Kristeleit
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0301 basic medicine ,business.industry ,medicine.drug_class ,Endometrial cancer ,Phases of clinical research ,Hematology ,medicine.disease ,Monoclonal antibody ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,medicine ,In patient ,Anti-PD-1 Monoclonal Antibody TSR-042 ,business ,PK/PD models - Published
- 2018
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5. Safety, pharmacodynamic, and pharmacokinetic profile of TSR-042, an anti–PD–1 monoclonal antibody, in patients (pts) with advanced solid tumors
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Ellie Im, Jasgit C. Sachdev, S. Lu, W. Guo, Muralidhar Beeram, K. McEachern, D. Jenkins, V. Kansra, R. Tran, Amita Patnaik, Glen J. Weiss, J. Pelusi, D. Bobilev, Jordan Waypa, and V. Reichert
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0301 basic medicine ,business.industry ,Hematology ,Pharmacology ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,Pharmacokinetics ,030220 oncology & carcinogenesis ,Pharmacodynamics ,Medicine ,In patient ,Anti-PD-1 Monoclonal Antibody ,business - Published
- 2017
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6. Identifying predictors of translocation success in rare plant species.
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Bellis J, Osazuwa-Peters O, Maschinski J, Keir MJ, Parsons EW, Kaye TN, Kunz M, Possley J, Menges E, Smith SA, Roth D, Brewer D, Brumback W, Lange JJ, Niederer C, Turner-Skoff JB, Bontrager M, Braham R, Coppoletta M, Holl KD, Williamson P, Bell T, Jonas JL, McEachern K, Robertson KL, Birnbaum SJ, Dattilo A, Dollard JJ Jr, Fant J, Kishida W, Lesica P, Link SO, Pavlovic NB, Poole J, Reemts CM, Stiling P, Taylor DD, Titus JH, Titus PJ, Adkins ED, Chambers T, Paschke MW, Heineman KD, and Albrecht MA
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- Reproduction, Seeds, Ecosystem, Conservation of Natural Resources methods, Plants
- Abstract
The fundamental goal of a rare plant translocation is to create self-sustaining populations with the evolutionary resilience to persist in the long term. Yet, most plant translocation syntheses focus on a few factors influencing short-term benchmarks of success (e.g., survival and reproduction). Short-term benchmarks can be misleading when trying to infer future growth and viability because the factors that promote establishment may differ from those required for long-term persistence. We assembled a large (n = 275) and broadly representative data set of well-documented and monitored (7.9 years on average) at-risk plant translocations to identify the most important site attributes, management techniques, and species' traits for six life-cycle benchmarks and population metrics of translocation success. We used the random forest algorithm to quantify the relative importance of 29 predictor variables for each metric of success. Drivers of translocation outcomes varied across time frames and success metrics. Management techniques had the greatest relative influence on the attainment of life-cycle benchmarks and short-term population trends, whereas site attributes and species' traits were more important for population persistence and long-term trends. Specifically, large founder sizes increased the potential for reproduction and recruitment into the next generation, whereas declining habitat quality and the outplanting of species with low seed production led to increased extinction risks and a reduction in potential reproductive output in the long-term, respectively. We also detected novel interactions between some of the most important drivers, such as an increased probability of next-generation recruitment in species with greater seed production rates, but only when coupled with large founder sizes. Because most significant barriers to plant translocation success can be overcome by improving techniques or resolving site-level issues through early intervention and management, we suggest that by combining long-term monitoring with adaptive management, translocation programs can enhance the prospects of achieving long-term success., (© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.)
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- 2024
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7. Safety, antitumor activity, and pharmacokinetics of dostarlimab, an anti-PD-1, in patients with advanced solid tumors: a dose-escalation phase 1 trial.
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Patnaik A, Weiss GJ, Rasco DW, Blaydorn L, Mirabella A, Beeram M, Guo W, Lu S, Danaee H, McEachern K, Im E, and Sachdev JC
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- Aged, Antibodies, Monoclonal, Humanized adverse effects, Antibodies, Monoclonal, Humanized pharmacology, Area Under Curve, Body Weight, Humans, Immune Checkpoint Inhibitors adverse effects, Immune Checkpoint Inhibitors pharmacology, Male, Maximum Tolerated Dose, Middle Aged, Neoplasms pathology, Programmed Cell Death 1 Receptor antagonists & inhibitors, Treatment Outcome, Antibodies, Monoclonal, Humanized administration & dosage, Antibodies, Monoclonal, Humanized pharmacokinetics, Immune Checkpoint Inhibitors administration & dosage, Immune Checkpoint Inhibitors pharmacokinetics, Neoplasms drug therapy
- Abstract
Purpose: New immuno-oncology therapies targeting programmed cell death receptor 1 (PD-1) have improved patient outcomes in a broad range of cancers. The objective of this analysis was to evaluate the PK, pharmacodynamics (PDy), and safety of dostarlimab monotherapy in adult patients with previously-treated advanced solid tumors who participated in parts 1 and 2A of the phase 1 GARNET study., Methods: Part 1 featured a 3 + 3 weight-based dose-escalation study, in which 21 patients received dostarlimab 1, 3, or 10 mg/kg intravenously every 2 weeks. The 2 fixed-dose nonweight-based dosing regimens of dostarlimab 500 mg every 3 weeks (Q3W) and 1000 mg every 6 weeks (Q6W) were evaluated using a modified 6 + 6 design in part 2A (n = 13). In parts 1 and 2A, treatment with dostarlimab could continue for up to 2 years or until progression, unacceptable toxicity, patient withdrawal, investigator's decision, or death., Results: The dostarlimab PK profile was dose proportional, and maximal achievable receptor occupancy (RO) was observed at all dose levels in the weight-based and fixed-dose cohorts. Trough dostarlimab concentration after administration of dostarlimab 500 mg Q3W was similar to that after dostarlimab 1000 mg Q6W, the values of which (≈40 µg/mL) projected well above the lowest dostarlimab concentration required for full peripheral RO. No dose-limiting toxicities were observed., Conclusions: Dostarlimab demonstrated consistent and predictable PK and associated PDy. The observed safety profile was acceptable and characteristic of the anti-PD-1 drug class., Trial Registration: ClinicalTrials.gov, NCT02715284. Registration date: March 9, 2016., (© 2021. The Author(s).)
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- 2022
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8. The inhibitory receptor TIM-3 limits activation of the cGAS-STING pathway in intra-tumoral dendritic cells by suppressing extracellular DNA uptake.
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de Mingo Pulido Á, Hänggi K, Celias DP, Gardner A, Li J, Batista-Bittencourt B, Mohamed E, Trillo-Tinoco J, Osunmakinde O, Peña R, Onimus A, Kaisho T, Kaufmann J, McEachern K, Soliman H, Luca VC, Rodriguez PC, Yu X, and Ruffell B
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- Animals, Biological Transport physiology, Cell Line, Cell Line, Tumor, Chemokines metabolism, Cytoplasm metabolism, Endocytosis physiology, Female, HEK293 Cells, Humans, Immunotherapy methods, Mice, Mice, Inbred C57BL, DNA metabolism, Dendritic Cells metabolism, Hepatitis A Virus Cellular Receptor 2 metabolism, Membrane Proteins metabolism, Nucleotidyltransferases metabolism, Signal Transduction physiology
- Abstract
Blockade of the inhibitory receptor TIM-3 shows efficacy in cancer immunotherapy clinical trials. TIM-3 inhibits production of the chemokine CXCL9 by XCR1
+ classical dendritic cells (cDC1), thereby limiting antitumor immunity in mammary carcinomas. We found that increased CXCL9 expression by splenic cDC1s upon TIM-3 blockade required type I interferons and extracellular DNA. Chemokine expression as well as combinatorial efficacy of TIM-3 blockade and paclitaxel chemotherapy were impaired by deletion of Cgas and Sting. TIM-3 blockade increased uptake of extracellular DNA by cDC1 through an endocytic process that resulted in cytoplasmic localization. DNA uptake and efficacy of TIM-3 blockade required DNA binding by HMGB1, while galectin-9-induced cell surface clustering of TIM-3 was necessary for its suppressive function. Human peripheral blood cDC1s also took up extracellular DNA upon TIM-3 blockade. Thus, TIM-3 regulates endocytosis of extracellular DNA and activation of the cytoplasmic DNA sensing cGAS-STING pathway in cDC1s, with implications for understanding the mechanisms underlying TIM-3 immunotherapy., Competing Interests: Declaration of interests This work was supported in part by a sponsored research agreement with TESARO. J.K. is an employee of GSK and K.M. was an employee of TESARO. H.S. has received payments from Novartis International AG for consulting and advisory boards. B.R. has received payments from Merck & Co. and Roche Farma S.A. for consulting. H.S., V.C.L., P.C.R., and B.R. have courtesy faculty appointments at the University of South Florida, Tampa., (Copyright © 2021 Elsevier Inc. All rights reserved.)- Published
- 2021
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9. Microplastics in Tampa Bay, Florida: Abundance and variability in estuarine waters and sediments.
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McEachern K, Alegria H, Kalagher AL, Hansen C, Morrison S, and Hastings D
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- Bays analysis, Environmental Monitoring, Estuaries, Florida, Plankton growth & development, Plankton metabolism, Seasons, Water Pollution, Chemical analysis, Geologic Sediments analysis, Microplastics analysis, Water Pollutants, Chemical analysis
- Abstract
This study provides the first measurement of microplastic abundance and distribution in surface waters and sediments in Tampa Bay, FL. Microplastic concentrations in discrete water samples ranged from 0.25 to 7.0 particles/L with an average of 0.94 (±0.52) particles/L. Samples taken with a 330 μm plankton net had 1.2-18.1 particles/m
3 with an average of 4.5 (±2.3) particles/m3 . Discrete samples were 200 times higher than net samples, suggesting substantial losses or undersampling with the net. For both discrete and plankton tow samples, there were no significant differences in concentrations between stations or regions. Intense rainfall events in the summer always preceded samples with substantially higher counts. Most (>75%) microplastics were fibers. Using an average value of 1 particle/L, Tampa Bay contains ~4 billion microplastic particles. Surface sediments had an average of 280 (±290) particles/kg, ranging from 30 to 790 particles/kg. Highest concentrations of microplastics were found in sediments close to industrial sources; lowest values in Middle and Lower Tampa Bay are consistent with shorter residence times., (Copyright © 2019. Published by Elsevier Ltd.)- Published
- 2019
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10. Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non-Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis.
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Datar I, Sanmamed MF, Wang J, Henick BS, Choi J, Badri T, Dong W, Mani N, Toki M, Mejías LD, Lozano MD, Perez-Gracia JL, Velcheti V, Hellmann MD, Gainor JF, McEachern K, Jenkins D, Syrigos K, Politi K, Gettinger S, Rimm DL, Herbst RS, Melero I, Chen L, and Schalper KA
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- Biomarkers, Tumor metabolism, Carcinoma, Non-Small-Cell Lung genetics, Carcinoma, Non-Small-Cell Lung immunology, Carcinoma, Non-Small-Cell Lung metabolism, Gene Expression Regulation, Neoplastic, Humans, Lung Neoplasms genetics, Lung Neoplasms immunology, Lung Neoplasms metabolism, Lymphocyte Activation immunology, Prognosis, Retrospective Studies, Survival Rate, Lymphocyte Activation Gene 3 Protein, Antigens, CD metabolism, Carcinoma, Non-Small-Cell Lung pathology, Hepatitis A Virus Cellular Receptor 2 metabolism, Lung Neoplasms pathology, Lymphocytes, Tumor-Infiltrating immunology, Programmed Cell Death 1 Receptor metabolism, Single-Cell Analysis methods
- Abstract
Purpose: To determine the tumor tissue/cell distribution, functional associations, and clinical significance of PD-1, LAG-3, and TIM-3 protein expression in human non-small cell lung cancer (NSCLC)., Experimental Design: Using multiplexed quantitative immunofluorescence, we performed localized measurements of CD3, PD-1, LAG-3, and TIM-3 protein in >800 clinically annotated NSCLCs from three independent cohorts represented in tissue microarrays. Associations between the marker's expression and major genomic alterations were studied in The Cancer Genome Atlas NSCLC dataset. Using mass cytometry (CyTOF) analysis of leukocytes collected from 20 resected NSCLCs, we determined the levels, coexpression, and functional profile of PD-1, LAG-3, and TIM-3 expressing immune cells. Finally, we measured the markers in baseline samples from 90 patients with advanced NSCLC treated with PD-1 axis blockers and known response to treatment., Results: PD-1, LAG-3, and TIM-3 were detected in tumor-infiltrating lymphocytes (TIL) from 55%, 41.5%, and 25.3% of NSCLC cases, respectively. These markers showed a prominent association with each other and limited association with major clinicopathologic variables and survival in patients not receiving immunotherapy. Expression of the markers was lower in EGFR-mutated adenocarcinomas and displayed limited association with tumor mutational burden. In single-cell CyTOF analysis, PD-1 and LAG-3 were predominantly localized on T-cell subsets/NKT cells, whereas TIM-3 expression was higher in NK cells and macrophages. Coexpression of PD-1, LAG-3, and TIM-3 was associated with prominent T-cell activation (CD69/CD137), effector function (Granzyme-B), and proliferation (Ki-67), but also with elevated levels of proapoptotic markers (FAS/BIM). LAG-3 and TIM-3 were present in TIL subsets lacking PD-1 expression and showed a distinct functional profile. In baseline samples from 90 patients with advanced NSCLC treated with PD-1 axis blockers, elevated LAG-3 was significantly associated with shorter progression-free survival., Conclusions: PD-1, LAG-3, and TIM-3 have distinct tissue/cell distribution, functional implications, and genomic correlates in human NSCLC. Expression of these immune inhibitory receptors in TILs is associated with prominent activation, but also with a proapoptotic T-cell phenotype. Elevated LAG-3 expression is associated with insensitivity to PD-1 axis blockade, suggesting independence of these immune evasion pathways., (©2019 American Association for Cancer Research.)
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- 2019
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11. Phase I studies of AZD1208, a proviral integration Moloney virus kinase inhibitor in solid and haematological cancers.
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Cortes J, Tamura K, DeAngelo DJ, de Bono J, Lorente D, Minden M, Uy GL, Kantarjian H, Chen LS, Gandhi V, Godin R, Keating K, McEachern K, Vishwanathan K, Pease JE, and Dean E
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- Adult, Aged, Aged, 80 and over, Biphenyl Compounds adverse effects, Biphenyl Compounds pharmacology, Cytochrome P-450 CYP3A metabolism, Female, Gene Expression Regulation, Neoplastic drug effects, Hematologic Neoplasms drug therapy, Hematologic Neoplasms metabolism, Humans, Male, Maximum Tolerated Dose, Middle Aged, Neoplasms metabolism, Protein Kinase Inhibitors adverse effects, Protein Kinase Inhibitors pharmacology, Thiazolidines adverse effects, Thiazolidines pharmacology, Up-Regulation, Young Adult, Biphenyl Compounds administration & dosage, Neoplasms drug therapy, Protein Kinase Inhibitors administration & dosage, Thiazolidines administration & dosage
- Abstract
Background: Proviral integration Moloney virus (PIM) kinases (PIM1, 2 and 3) are overexpressed in several tumour types and contribute to oncogenesis. AZD1208 is a potent ATP-competitive PIM kinase inhibitor investigated in patients with recurrent or refractory acute myeloid leukaemia (AML) or advanced solid tumours., Methods: Two dose-escalation studies were performed to evaluate the safety and tolerability, and to define the maximum tolerated dose (MTD), of AZD1208 in AML and solid tumours. Secondary objectives were to evaluate the pharmacokinetics, pharmacodynamics (PD) and preliminary efficacy of AZD1208., Results: Sixty-seven patients received treatment: 32 in the AML study over a 120-900 mg dose range, and 25 in the solid tumour study over a 120-800 mg dose range. Nearly all patients (98.5%) in both studies experienced adverse events, mostly gastrointestinal (92.5%). Dose-limiting toxicities included rash, fatigue and vomiting. AZD1208 was not tolerated at 900 mg, and the protocol-defined MTD was not confirmed. AZD1208 increased CYP3A4 activity after multiple dosing, resulting in increased drug clearance. There were no clinical responses; PD analysis showed biological activity of AZD1208., Conclusions: Despite the lack of single-agent clinical efficacy with AZD1208, PIM kinase inhibition may hold potential as an anticancer treatment, perhaps in combination with other agents.
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- 2018
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12. Large-scale implementation of the I-PASS handover system at an academic medical centre.
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Shahian DM, McEachern K, Rossi L, Chisari RG, and Mort E
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- Academic Medical Centers standards, Humans, Inservice Training, Leadership, Patient Handoff standards, Practice Guidelines as Topic, Quality of Health Care, Workflow, Academic Medical Centers organization & administration, Patient Handoff organization & administration, Patient Safety
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Background: Healthcare has become increasingly complex and care delivery models have changed dramatically (eg, team-based care, duty-hour restrictions). However, approaches to critical communications among providers have not evolved to meet these new challenges. Evidence from safety culture surveys, academic studies and malpractice claims suggests that healthcare handover quality is problematic, leading to preventable errors and adverse outcomes. To address this concern, from 2013 to 2016 Massachusetts General Hospital completed phase I of a multifaceted programme to implement standardised, structured handovers across all departments, units and direct care providers., Methods: A multidisciplinary Handovers Committee selected the I-PASS handover system. Phase I implementation focused on large-scale training and shift-to-shift handovers. Important features included administrative and clinical leadership support; EHR templates for I-PASS; hospital handover policy revision; varied educational modalities, venues and durations; concomitant TeamSTEPPS training; unit-level I-PASS champions; handover observations; and solicitation of caregiver feedback and suggestions., Results: More than 6000 doctors, nurses and therapists have been trained. Trended observation scores demonstrate progressive but non-uniform adoption of I-PASS, with significant improvements in the correct sequencing and percentage of I-PASS elements included in handovers. Adoption of Synthesis (readback) has been challenging, with lower scores., Conclusions: Comprehensive I-PASS implementation in a large academic medical centre necessitated major cultural change. I-PASS education is straightforward, whereas assuring consistent and sustained adoption across all services is more challenging, requiring adaptation of the basic I-PASS structure to local needs and workflows. EHR I-PASS templates facilitated caregiver acceptance. Initial phase I results are encouraging and the lessons learned should be helpful to other programmes planning handover initiatives. Phase II is ongoing, focusing on more uniform and consistent adoption, spread and sustainability., Competing Interests: Competing interests: None declared., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)
- Published
- 2017
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13. Erratum: PIM1 kinase regulates cell death, tumor growth and chemotherapy response in triple-negative breast cancer.
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Brasó-Maristany F, Filosto S, Catchpole S, Marlow R, Quist J, Francesch-Domenech E, Plumb DA, Zakka L, Gazinska P, Liccardi G, Meier P, Gris-Oliver A, Cheang MCU, Perdrix-Rosell A, Shafat M, Noël E, Patel N, McEachern K, Scaltriti M, Castel P, Noor F, Buus R, Mathew S, Watkins J, Serra V, Marra P, Grigoriadis A, and Tutt AN
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- 2017
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14. PIM1 kinase regulates cell death, tumor growth and chemotherapy response in triple-negative breast cancer.
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Brasó-Maristany F, Filosto S, Catchpole S, Marlow R, Quist J, Francesch-Domenech E, Plumb DA, Zakka L, Gazinska P, Liccardi G, Meier P, Gris-Oliver A, Cheang MC, Perdrix-Rosell A, Shafat M, Noël E, Patel N, McEachern K, Scaltriti M, Castel P, Noor F, Buus R, Mathew S, Watkins J, Serra V, Marra P, Grigoriadis A, and Tutt AN
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- Animals, Apoptosis drug effects, Biphenyl Compounds pharmacology, Cell Line, Tumor, Cell Proliferation drug effects, Cell Survival drug effects, Cell Survival genetics, DNA Copy Number Variations, Female, Gene Knockdown Techniques, Humans, Mice, Mitochondria metabolism, Myeloid Cell Leukemia Sequence 1 Protein metabolism, Neoplasm Transplantation, Protein Kinase Inhibitors pharmacology, Proto-Oncogene Mas, Proto-Oncogene Proteins c-bcl-2 metabolism, Proto-Oncogene Proteins c-myc metabolism, Proto-Oncogene Proteins c-pim-1 antagonists & inhibitors, Real-Time Polymerase Chain Reaction, Thiazolidines pharmacology, Xenograft Model Antitumor Assays, Apoptosis genetics, Cell Proliferation genetics, Gene Expression Regulation, Neoplastic, Proto-Oncogene Proteins c-pim-1 genetics, Triple Negative Breast Neoplasms genetics
- Abstract
Triple-negative breast cancers (TNBCs) have poor prognosis and lack targeted therapies. Here we identified increased copy number and expression of the PIM1 proto-oncogene in genomic data sets of patients with TNBC. TNBC cells, but not nonmalignant mammary epithelial cells, were dependent on PIM1 for proliferation and protection from apoptosis. PIM1 knockdown reduced expression of the anti-apoptotic factor BCL2, and dynamic BH3 profiling of apoptotic priming revealed that PIM1 prevents mitochondrial-mediated apoptosis in TNBC cell lines. In TNBC tumors and their cellular models, PIM1 expression was associated with several transcriptional signatures involving the transcription factor MYC, and PIM1 depletion in TNBC cell lines decreased, in a MYC-dependent manner, cell population growth and expression of the MYC target gene MCL1. Treatment with the pan-PIM kinase inhibitor AZD1208 impaired the growth of both cell line and patient-derived xenografts and sensitized them to standard-of-care chemotherapy. This work identifies PIM1 as a malignant-cell-selective target in TNBC and the potential use of PIM1 inhibitors for sensitizing TNBC to chemotherapy-induced apoptotic cell death.
- Published
- 2016
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