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      PRMT1-mediated PGK1 arginine methylation promotes colorectal cancer glycolysis and tumorigenesis

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          Abstract

          Many types of cancer cells, including colorectal cancer cells (CRC), can simultaneously enhance glycolysis and repress the mitochondrial tricarboxylic acid (TCA) cycle, which is called the Warburg effect. However, the detailed mechanisms of abnormal activation of the glycolysis pathway in colorectal cancer are largely unknown. In this study, we reveal that the protein arginine methyltransferase 1 (PRMT1) promotes glycolysis, proliferation, and tumorigenesis in CRC cells. Mechanistically, PRMT1-mediated arginine asymmetric dimethylation modification of phosphoglycerate kinase 1 (PGK1, the first ATP-producing enzyme in glycolysis) at R206 (meR206-PGK1) enhances the phosphorylation level of PGK1 at S203 (pS203-PGK1), which inhibits mitochondrial function and promotes glycolysis. We found that PRMT1 and meR206-PGK1 expression were positively correlated with pS203-PGK1 expression in tissues from colorectal cancer patients. Furthermore, we also confirmed that meR206-PGK1 expression is positively correlated with the poor survival of patients with colorectal cancer. Our findings show that PRMT1 and meR206-PGK1 may become promising predictive biomarkers for the prognosis of patients with CRC and that arginine methyltransferase inhibitors have great potential in colorectal cancer treatment.

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          Most cited references39

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Understanding the Warburg effect: the metabolic requirements of cell proliferation.

            In contrast to normal differentiated cells, which rely primarily on mitochondrial oxidative phosphorylation to generate the energy needed for cellular processes, most cancer cells instead rely on aerobic glycolysis, a phenomenon termed "the Warburg effect." Aerobic glycolysis is an inefficient way to generate adenosine 5'-triphosphate (ATP), however, and the advantage it confers to cancer cells has been unclear. Here we propose that the metabolism of cancer cells, and indeed all proliferating cells, is adapted to facilitate the uptake and incorporation of nutrients into the biomass (e.g., nucleotides, amino acids, and lipids) needed to produce a new cell. Supporting this idea are recent studies showing that (i) several signaling pathways implicated in cell proliferation also regulate metabolic pathways that incorporate nutrients into biomass; and that (ii) certain cancer-associated mutations enable cancer cells to acquire and metabolize nutrients in a manner conducive to proliferation rather than efficient ATP production. A better understanding of the mechanistic links between cellular metabolism and growth control may ultimately lead to better treatments for human cancer.
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              Scalable molecular dynamics with NAMD.

              NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop and laptop computers. NAMD works with AMBER and CHARMM potential functions, parameters, and file formats. This article, directed to novices as well as experts, first introduces concepts and methods used in the NAMD program, describing the classical molecular dynamics force field, equations of motion, and integration methods along with the efficient electrostatics evaluation algorithms employed and temperature and pressure controls used. Features for steering the simulation across barriers and for calculating both alchemical and conformational free energy differences are presented. The motivations for and a roadmap to the internal design of NAMD, implemented in C++ and based on Charm++ parallel objects, are outlined. The factors affecting the serial and parallel performance of a simulation are discussed. Finally, typical NAMD use is illustrated with representative applications to a small, a medium, and a large biomolecular system, highlighting particular features of NAMD, for example, the Tcl scripting language. The article also provides a list of the key features of NAMD and discusses the benefits of combining NAMD with the molecular graphics/sequence analysis software VMD and the grid computing/collaboratory software BioCoRE. NAMD is distributed free of charge with source code at www.ks.uiuc.edu. (c) 2005 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                bj@xzhmu.edu.cn
                lizw074@xzhmu.edu.cn
                yxynankai@126.com
                Journal
                Cell Death Dis
                Cell Death Dis
                Cell Death & Disease
                Nature Publishing Group UK (London )
                2041-4889
                24 February 2024
                24 February 2024
                February 2024
                : 15
                : 2
                : 170
                Affiliations
                [1 ]School of Medicine, Nankai University, ( https://ror.org/01y1kjr75) Tianjin, China
                [2 ]Cancer Institute, Xuzhou Medical University, ( https://ror.org/035y7a716) Xuzhou, Jiangsu China
                [3 ]Department of Gastroenterology, the Affiliated Hospital of Guangdong Medical University, ( https://ror.org/04k5rxe29) Zhanjiang, Guangdong China
                [4 ]Department of Gastroenterology, the First People’s Hospital of Shuyang County, ( https://ror.org/00wwb2b69) Suqian, Jiangsu China
                [5 ]GRID grid.413389.4, ISNI 0000 0004 1758 1622, Center of Clinical Oncology, , the Affiliated Hospital of Xuzhou Medical University, ; Xuzhou, Jiangsu China
                [6 ]GRID grid.417303.2, ISNI 0000 0000 9927 0537, Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, , Xuzhou Medical University, ; Xuzhou, Jiangsu China
                [7 ]Laboratory of Tumor Epigenetics, Department of Pathophysiology, School of Basic Medical Sciences, Wannan Medical College, ( https://ror.org/037ejjy86) Wuhu, Anhui China
                [8 ]Department of Gastrointestinal Surgery, the Hospital of Integrated Chinese and Western Medicine, Tianjin, China
                Author information
                http://orcid.org/0000-0003-1524-7893
                http://orcid.org/0000-0003-1014-4238
                Article
                6544
                10.1038/s41419-024-06544-6
                10894231
                38402202
                7553bf82-4712-4a8f-bf24-b8b6cd732fcd
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 August 2023
                : 5 February 2024
                : 6 February 2024
                Funding
                Funded by: the Major Project of the University Natural Science Foundation of Jiangsu Province, China (22KJA310006).
                Categories
                Article
                Custom metadata
                © Associazione Differenziamento e Morte Cellulare ADMC 2024

                Cell biology
                cancer metabolism,methylation,phosphorylation,methylases,drug development
                Cell biology
                cancer metabolism, methylation, phosphorylation, methylases, drug development

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