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      Discovery and Pharmacological Characterization of JNJ-64619178, a Novel Small-Molecule Inhibitor of PRMT5 with Potent Antitumor Activity

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      1 , 1 , 1 , 1 , 2 , 2 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 3 , 3 , 2 , 2 , 1 , 1 , 4 , 4 , 4 , 2 , 1 , 2 , 2 , 1 , 1 , 2 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 2 , 2 , * ,
      Molecular Cancer Therapeutics
      American Association for Cancer Research

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          Abstract

          The protein arginine methyltransferase 5 (PRMT5) methylates a variety of proteins involved in splicing, multiple signal transduction pathways, epigenetic control of gene expression, and mechanisms leading to protein expression required for cellular proliferation. Dysregulation of PRMT5 is associated with clinical features of several cancers, including lymphomas, lung cancer, and breast cancer. Here, we describe the characterization of JNJ-64619178, a novel, selective, and potent PRMT5 inhibitor, currently in clinical trials for patients with advanced solid tumors, non-Hodgkin's lymphoma, and lower-risk myelodysplastic syndrome. JNJ-64619178 demonstrated a prolonged inhibition of PRMT5 and potent antiproliferative activity in subsets of cancer cell lines derived from various histologies, including lung, breast, pancreatic, and hematological malignancies. In primary acute myelogenous leukemia samples, the presence of splicing factor mutations correlated with a higher ex vivo sensitivity to JNJ-64619178. Furthermore, the potent and unique mechanism of inhibition of JNJ-64619178, combined with highly optimized pharmacological properties, led to efficient tumor growth inhibition and regression in several xenograft models in vivo, with once-daily or intermittent oral-dosing schedules. An increase in splicing burden was observed upon JNJ-64619178 treatment. Overall, these observations support the continued clinical evaluation of JNJ-64619178 in patients with aberrant PRMT5 activity–driven tumors.

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          Most cited references51

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          Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer

          In the last decade, optimized treatment for non-small cell lung cancer had lead to improved prognosis, but the overall survival is still very short. To further understand the molecular basis of the disease we have to identify biomarkers related to survival. Here we present the development of an online tool suitable for the real-time meta-analysis of published lung cancer microarray datasets to identify biomarkers related to survival. We searched the caBIG, GEO and TCGA repositories to identify samples with published gene expression data and survival information. Univariate and multivariate Cox regression analysis, Kaplan-Meier survival plot with hazard ratio and logrank P value are calculated and plotted in R. The complete analysis tool can be accessed online at: www.kmplot.com/lung. All together 1,715 samples of ten independent datasets were integrated into the system. As a demonstration, we used the tool to validate 21 previously published survival associated biomarkers. Of these, survival was best predicted by CDK1 (p<1E-16), CD24 (p<1E-16) and CADM1 (p = 7E-12) in adenocarcinomas and by CCNE1 (p = 2.3E-09) and VEGF (p = 3.3E-10) in all NSCLC patients. Additional genes significantly correlated to survival include RAD51, CDKN2A, OPN, EZH2, ANXA3, ADAM28 and ERCC1. In summary, we established an integrated database and an online tool capable of uni- and multivariate analysis for in silico validation of new biomarker candidates in non-small cell lung cancer.
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            Tracking cancer drugs in living cells by thermal profiling of the proteome.

            The thermal stability of proteins can be used to assess ligand binding in living cells. We have generalized this concept by determining the thermal profiles of more than 7000 proteins in human cells by means of mass spectrometry. Monitoring the effects of small-molecule ligands on the profiles delineated more than 50 targets for the kinase inhibitor staurosporine. We identified the heme biosynthesis enzyme ferrochelatase as a target of kinase inhibitors and suggest that its inhibition causes the phototoxicity observed with vemurafenib and alectinib. Thermal shifts were also observed for downstream effectors of drug treatment. In live cells, dasatinib induced shifts in BCR-ABL pathway proteins, including CRK/CRKL. Thermal proteome profiling provides an unbiased measure of drug-target engagement and facilitates identification of markers for drug efficacy and toxicity. Copyright © 2014, American Association for the Advancement of Science.
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              Arginine Methylation: The Coming of Age.

              Arginine methylation is a common post-translational modification functioning as an epigenetic regulator of transcription and playing key roles in pre-mRNA splicing, DNA damage signaling, mRNA translation, cell signaling, and cell fate decision. Recently, a wealth of studies using transgenic mouse models and selective PRMT inhibitors helped define physiological roles for protein arginine methyltransferases (PRMTs) linking them to diseases such as cancer and metabolic, neurodegenerative, and muscular disorders. This review describes the recent molecular advances that have been uncovered in normal and diseased mammalian cells.
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                Author and article information

                Journal
                Mol Cancer Ther
                Mol Cancer Ther
                Molecular Cancer Therapeutics
                American Association for Cancer Research
                1535-7163
                1538-8514
                01 December 2021
                28 September 2021
                : 20
                : 12
                : 2317-2328
                Affiliations
                [1 ]Janssen Research and Development, Beerse, Antwerp, Belgium.
                [2 ]Janssen Research and Development, Spring House, Pennsylvania.
                [3 ]Janssen Research and Development, Shanghai, China.
                [4 ]Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts.
                Author notes
                [#]

                D. Brehmer and L. Beke contributed equally as co-authors of this article.

                [* ] Corresponding Author: Sylvie Laquerre, Janssen Research and Development, LLC, 1400 McKean Road, Spring House, PA 19477. Phone: 215-628-5840; E-mail: slaquerr@ 123456its.jnj.com
                Author information
                https://orcid.org/0000-0003-3139-7410
                https://orcid.org/0000-0002-7606-1075
                https://orcid.org/0000-0002-8783-0562
                Article
                MCT-21-0367
                10.1158/1535-7163.MCT-21-0367
                9398174
                34583982
                5fb31a99-5ed4-46b4-a497-e1cbc9b6ac41
                ©2021 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 27 April 2021
                : 15 July 2021
                : 15 September 2021
                Page count
                Pages: 12
                Categories
                MCT First Disclosures

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