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      A multi‐omics approach identifies pancreatic cancer cell extracellular vesicles as mediators of the unfolded protein response in normal pancreatic epithelial cells

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          Abstract

          Although cancer‐derived extracellular vesicles (cEVs) are thought to play a pivotal role in promoting cancer progression events, their precise effect on neighbouring normal cells is unknown. In this study, we investigated the impact of pancreatic cancer ductal adenocarcinoma (PDAC) derived EVs on recipient non‐tumourigenic pancreatic normal epithelial cells upon internalization. We demonstrate that cEVs are readily internalized and induce endoplasmic reticulum (ER) stress and the unfolded protein response (UPR) in treated normal pancreatic epithelial cells within 24 h. We further show that PDAC cEVs increase cell proliferation, migration, and invasion and that these changes are regulated at least in part, by the UPR mediator DDIT3. Subsequently, these cells release several inflammatory cytokines. Leveraging a layered multi‐omics approach, we analysed EV cargo from a panel of six PDAC and two normal pancreas cell lines, using multiple EV isolation methods. We found that cEVs were enriched for an array of biomolecules which can induce or regulate ER stress and the UPR, including palmitic acid, sphingomyelins, metabolic regulators of tRNA charging and proteins which regulate trafficking and degradation. We further show that palmitic acid, at doses relevant to those found in cEVs, is sufficient to induce ER stress in normal pancreas cells. These results suggest that cEV cargo packaging may be designed to disseminate proliferative and invasive characteristics upon internalization by distant recipient normal cells, hitherto unreported. This study is among the first to highlight a major role for PDAC cEVs to induce stress in treated normal pancreas cells that may modulate a systemic response leading to altered phenotypes. These findings highlight the importance of EVs in mediating disease aetiology and open potential areas of investigation toward understanding the role of cEV lipids in promoting cell transformation in the surrounding microenvironment.

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          Cancer statistics, 2020

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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            Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

            Genome-scale studies have revealed extensive, cell type-specific colocalization of transcription factors, but the mechanisms underlying this phenomenon remain poorly understood. Here, we demonstrate in macrophages and B cells that collaborative interactions of the common factor PU.1 with small sets of macrophage- or B cell lineage-determining transcription factors establish cell-specific binding sites that are associated with the majority of promoter-distal H3K4me1-marked genomic regions. PU.1 binding initiates nucleosome remodeling, followed by H3K4 monomethylation at large numbers of genomic regions associated with both broadly and specifically expressed genes. These locations serve as beacons for additional factors, exemplified by liver X receptors, which drive both cell-specific gene expression and signal-dependent responses. Together with analyses of transcription factor binding and H3K4me1 patterns in other cell types, these studies suggest that simple combinations of lineage-determining transcription factors can specify the genomic sites ultimately responsible for both cell identity and cell type-specific responses to diverse signaling inputs. Copyright 2010 Elsevier Inc. All rights reserved.
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              Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

              Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.
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                Author and article information

                Contributors
                akc27@georgetown.edu
                Journal
                J Extracell Vesicles
                J Extracell Vesicles
                10.1002/(ISSN)2001-3078
                JEV2
                Journal of Extracellular Vesicles
                John Wiley and Sons Inc. (Hoboken )
                2001-3078
                03 June 2022
                June 2022
                : 11
                : 6 ( doiID: 10.1002/jev2.v11.6 )
                : e12232
                Affiliations
                [ 1 ] Department of Biochemistry Molecular and Cellular Biology Georgetown University Medical Centre Washington DC USA
                [ 2 ] Department of Oncology Lombardi Comprehensive Cancer Center Georgetown University Medical Centre Washington DC USA
                [ 3 ] Tymora Analytical Operations West Lafayette IN USA
                [ 4 ] Department of Surgery University of Florida Gainesville FL USA
                [ 5 ] Division of Surgical Oncology VCU Massey Cancer Centre Richmond VA USA
                [ 6 ] Department of Pharmacology and Molecular Therapeutics School of Medicine Uniformed Services University of the Health Sciences Bethesda MD USA
                [ 7 ] Armed Forces Radiobiology Research Institute Uniformed Services University of the Health Sciences Bethesda MD USA
                Author notes
                [*] [* ] Correspondence

                Amrita Cheema, GC2, Pre‐Clinical Science Building, 3900 Reservoir Road NW, Washington, DC 20057, USA.

                Email: akc27@ 123456georgetown.edu

                Author information
                https://orcid.org/0000-0002-4669-4357
                https://orcid.org/0000-0001-9200-1016
                https://orcid.org/0000-0003-4877-7583
                Article
                JEV212232
                10.1002/jev2.12232
                9164146
                35656858
                c21018f8-47a9-4e7c-9191-1b1cf197a0ff
                © 2022 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 22 March 2022
                : 12 October 2021
                : 30 April 2022
                Page count
                Figures: 8, Tables: 0, Pages: 26, Words: 15710
                Funding
                Funded by: NCI , doi 10.13039/100000054;
                Award ID: P30‐CA051008
                Funded by: NIH , doi 10.13039/100000002;
                Award ID: G20‐RR31199
                Funded by: American Cancer Society , doi 10.13039/100000048;
                Award ID: IRG‐92‐152‐17
                Award ID: AWD4470404
                Funded by: National Center for Advancing Translational Sciences , doi 10.13039/100006108;
                Award ID: TL1TR001431
                Funded by: Cosmos Club Foundation , doi 10.13039/100008544;
                Funded by: Ruesch Family Foundation
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.6 mode:remove_FC converted:03.06.2022

                er stress,extracellular vesicles,multi‐omics,pancreatic cancer

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