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      Cellular senescence in cancer: from mechanisms to detection

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          Abstract

          Cellular senescence is considered a crucial process for tumour suppression, which can be facilitated by immune surveillance. However, when senescent cells persist in tissues, they can also trigger a plethora of tumour‐promoting effects. Here, we discuss the main hallmarks, mechanisms and roles of senescence in cancer and provide a comprehensive revision of the available tools for its detection.

          Abstract

          Senescence refers to a cellular state featuring a stable cell‐cycle arrest triggered in response to stress. This response also involves other distinct morphological and intracellular changes including alterations in gene expression and epigenetic modifications, elevated macromolecular damage, metabolism deregulation and a complex pro‐inflammatory secretory phenotype. The initial demonstration of oncogene‐induced senescence in vitro established senescence as an important tumour‐suppressive mechanism, in addition to apoptosis. Senescence not only halts the proliferation of premalignant cells but also facilitates the clearance of affected cells through immunosurveillance. Failure to clear senescent cells owing to deficient immunosurveillance may, however, lead to a state of chronic inflammation that nurtures a pro‐tumorigenic microenvironment favouring cancer initiation, migration and metastasis. In addition, senescence is a response to post‐therapy genotoxic stress. Therefore, tracking the emergence of senescent cells becomes pivotal to detect potential pro‐tumorigenic events. Current protocols for the in vivo detection of senescence require the analysis of fixed or deep‐frozen tissues, despite a significant clinical need for real‐time bioimaging methods. Accuracy and efficiency of senescence detection are further hampered by a lack of universal and more specific senescence biomarkers. Recently, in an attempt to overcome these hurdles, an assortment of detection tools has been developed. These strategies all have significant potential for clinical utilisation and include flow cytometry combined with histo‐ or cytochemical approaches, nanoparticle‐based targeted delivery of imaging contrast agents, OFF‐ON fluorescent senoprobes, positron emission tomography senoprobes and analysis of circulating SASP factors, extracellular vesicles and cell‐free nucleic acids isolated from plasma. Here, we highlight the occurrence of senescence in neoplasia and advanced tumours, assess the impact of senescence on tumorigenesis and discuss how the ongoing development of senescence detection tools might improve early detection of multiple cancers and response to therapy in the near future.

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          Epithelial-mesenchymal transitions in development and disease.

          The epithelial to mesenchymal transition (EMT) plays crucial roles in the formation of the body plan and in the differentiation of multiple tissues and organs. EMT also contributes to tissue repair, but it can adversely cause organ fibrosis and promote carcinoma progression through a variety of mechanisms. EMT endows cells with migratory and invasive properties, induces stem cell properties, prevents apoptosis and senescence, and contributes to immunosuppression. Thus, the mesenchymal state is associated with the capacity of cells to migrate to distant organs and maintain stemness, allowing their subsequent differentiation into multiple cell types during development and the initiation of metastasis.
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            Analysis of nanoparticle delivery to tumours

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              The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification.

              The 2015 World Health Organization (WHO) Classification of Tumors of the Lung, Pleura, Thymus and Heart has just been published with numerous important changes from the 2004 WHO classification. The most significant changes in this edition involve (1) use of immunohistochemistry throughout the classification, (2) a new emphasis on genetic studies, in particular, integration of molecular testing to help personalize treatment strategies for advanced lung cancer patients, (3) a new classification for small biopsies and cytology similar to that proposed in the 2011 Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification, (4) a completely different approach to lung adenocarcinoma as proposed by the 2011 Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification, (5) restricting the diagnosis of large cell carcinoma only to resected tumors that lack any clear morphologic or immunohistochemical differentiation with reclassification of the remaining former large cell carcinoma subtypes into different categories, (6) reclassifying squamous cell carcinomas into keratinizing, nonkeratinizing, and basaloid subtypes with the nonkeratinizing tumors requiring immunohistochemistry proof of squamous differentiation, (7) grouping of neuroendocrine tumors together in one category, (8) adding NUT carcinoma, (9) changing the term sclerosing hemangioma to sclerosing pneumocytoma, (10) changing the name hamartoma to "pulmonary hamartoma," (11) creating a group of PEComatous tumors that include (a) lymphangioleiomyomatosis, (b) PEComa, benign (with clear cell tumor as a variant) and
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                Author and article information

                Contributors
                dm742@cam.ac.uk
                Journal
                Mol Oncol
                Mol Oncol
                10.1002/(ISSN)1878-0261
                MOL2
                Molecular Oncology
                John Wiley and Sons Inc. (Hoboken )
                1574-7891
                1878-0261
                22 October 2020
                October 2021
                : 15
                : 10 ( doiID: 10.1002/mol2.v15.10 )
                : 2634-2671
                Affiliations
                [ 1 ] CRUK Cambridge Centre Early Detection Programme Department of Oncology Hutchison/MRC Research Centre University of Cambridge UK
                [ 2 ] Department of Biomedical Engineering Knight Cancer Institute OHSU Center for Spatial Systems Biomedicine Oregon Health and Science University Portland OR USA
                [ 3 ] Department of Oncology Cambridge University Hospitals NHS Foundation Trust Cambridge Biomedical Campus UK
                Author notes
                [*] [* ] Correspondence

                D. Muñoz‐Espín, CRUK Cambridge Centre Early Detection Programme, Department of Oncology, Hutchison/MRC Research Centre, University of Cambridge, Box 197, Cambridge Biomedical Campus, Hills Road, CB2 0XZ Cambridge, UK

                Tel +44 (0)1223 763337

                E‐mail dm742@ 123456cam.ac.uk

                Author information
                https://orcid.org/0000-0002-0550-9514
                Article
                MOL212807
                10.1002/1878-0261.12807
                8486596
                32981205
                fb465df6-ae61-4094-9fb1-7487af9874d0
                © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 August 2020
                : 01 July 2020
                : 22 September 2020
                Page count
                Figures: 5, Tables: 2, Pages: 38, Words: 25756
                Funding
                Funded by: Medical Research Council , doi 10.13039/501100000265;
                Award ID: MR/R000530/1
                Funded by: CRUK Cambridge Centre Early Detection Programme
                Award ID: RG86786
                Funded by: Cancer Research UK , doi 10.13039/501100000289;
                Award ID: C62187/A26989
                Award ID: C62187/A29760
                Funded by: Royal Society , doi 10.13039/501100000288;
                Award ID: RG160806
                Funded by: Cancer Early Detection Advanced Research Center (CEDAR) OHSU Knight Cancer Institute
                Award ID: 2018‐CRUK‐OHSU‐003
                Categories
                Review
                Reviews
                Custom metadata
                2.0
                October 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:01.10.2021

                Oncology & Radiotherapy
                cancer,cellular senescence,detection,senoprobes,tumour microenvironment
                Oncology & Radiotherapy
                cancer, cellular senescence, detection, senoprobes, tumour microenvironment

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