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      A Selective β−Catenin‐Metadherin/CEACAM1‐CCL3 Axis Mediates Metastatic Heterogeneity upon Tumor–Macrophage Interaction

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          Abstract

          Tumor heterogeneity plays a key role in cancer relapse and metastasis, however, the distinct cellular behaviors and kinetics of interactions among different cancer cell subclones and the tumor microenvironment are poorly understood. By profiling an isogenic model that resembles spontaneous human ovarian cancer metastasis with an highly metastatic (HM) and non‐metastatic (NM) tumor cell pair, one finds an upregulation of Wnt/ β‐catenin signaling uniquely in HM. Using humanized immunocompetent mice, one shows for the first time that activated β‐catenin acts nonautonomously to modulate the immune microenvironment by enhancing infiltrating tumor‐associated macrophages (TAM) at the metastatic site. Single‐cell time‐lapse microscopy further reveals that upon contact with macrophages, a significant subset of HM, but not NM, becomes polyploid, a phenotype pivotal for tumor aggressiveness and therapy resistance. Moreover, HM, but not NM, polarizes macrophages to a TAM phenotype. Mechanistically, β‐catenin upregulates cancer cell surface metadherin, which communicates through CEACAM1 expressed on macrophages to produce CCL3. Tumor xenografts in humanized mice and clinical patient samples both corroborate the relevance of enhanced metastasis, TAM activation, and polyploidy in vivo. The results thus suggest that targeting the β‐catenin‐metadherin/CEACAM1‐CCL3 positive feedback cascade holds great therapeutic potential to disrupt polyploidization of the cancer subclones that drive metastasis.

          Abstract

          Macrophages are closely associated with cancer metastasis. Using an isogenic humanized mouse model, this study demonstrates that metastatic ovarian cancer cells can enhance the tumor‐promoting phenotypes of macrophages in contact. It further reports a novel phenomenon that these macrophages could reciprocally induce polyploidy in a subset of the metastatic cancer cells to promote tumor aggressiveness.

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          Most cited references52

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Cancer Statistics, 2021

            Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2017) 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 2018) were collected by the National Center for Health Statistics. In 2021, 1,898,160 new cancer cases and 608,570 cancer deaths are projected to occur in the United States. After increasing for most of the 20th century, the cancer death rate has fallen continuously from its peak in 1991 through 2018, for a total decline of 31%, because of reductions in smoking and improvements in early detection and treatment. This translates to 3.2 million fewer cancer deaths than would have occurred if peak rates had persisted. Long-term declines in mortality for the 4 leading cancers have halted for prostate cancer and slowed for breast and colorectal cancers, but accelerated for lung cancer, which accounted for almost one-half of the total mortality decline from 2014 to 2018. The pace of the annual decline in lung cancer mortality doubled from 3.1% during 2009 through 2013 to 5.5% during 2014 through 2018 in men, from 1.8% to 4.4% in women, and from 2.4% to 5% overall. This trend coincides with steady declines in incidence (2.2%-2.3%) but rapid gains in survival specifically for nonsmall cell lung cancer (NSCLC). For example, NSCLC 2-year relative survival increased from 34% for persons diagnosed during 2009 through 2010 to 42% during 2015 through 2016, including absolute increases of 5% to 6% for every stage of diagnosis; survival for small cell lung cancer remained at 14% to 15%. Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.
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              Tumour-associated macrophages as treatment targets in oncology

              Tumour-associated macrophages (TAMs) are key drivers of tumour-promoting inflammation and cancer progression, and are important determinants of responsiveness to a range of therapies. Herein, the authors summarize the roles of TAMs in cancer, and discuss the potential of TAM-targeted therapeutic strategies to complement and synergize with other anticancer treatments.
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                Author and article information

                Contributors
                tokityan@hku.hk , tokityan@hku.hk
                jshi@hkbu.edu.hk
                awong1@hku.hk
                Journal
                Adv Sci (Weinh)
                Adv Sci (Weinh)
                10.1002/(ISSN)2198-3844
                ADVS
                Advanced Science
                John Wiley and Sons Inc. (Hoboken )
                2198-3844
                11 April 2022
                June 2022
                : 9
                : 16 ( doiID: 10.1002/advs.v9.16 )
                : 2103230
                Affiliations
                [ 1 ] School of Biological Sciences The University of Hong Kong Pokfulam Road Hong Kong China
                [ 2 ] Laboratory for Synthetic Chemistry and Chemical Biology Limited 17W, Hong Kong Science and Technology Parks, New Territories Hong Kong China
                [ 3 ] Department of Pathology The University of Hong Kong Queen Mary Hospital Pokfulam Road Hong Kong
                [ 4 ] Department of Obstetrics & Gynaecology The University of Hong Kong Queen Mary Hospital Pokfulam Road Hong Kong China
                [ 5 ] Centre for Quantitative Systems Biology and Department of Physics Hong Kong Baptist University Hong Kong China
                Author notes
                Author information
                https://orcid.org/0000-0002-8683-2101
                https://orcid.org/0000-0002-0676-6475
                Article
                ADVS3859
                10.1002/advs.202103230
                9165500
                35403834
                2a76f1e5-154b-4c80-9e73-753af9016a19
                © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH

                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
                : 31 January 2022
                : 27 July 2021
                Page count
                Figures: 7, Tables: 0, Pages: 14, Words: 9410
                Funding
                Funded by: Hong Kong Research Grant Council GRF
                Award ID: 17104820
                Award ID: 17141216
                Funded by: Laboratory for Synthetic Chemistry and Chemical Biology
                Funded by: Hong Kong Research Grant Council CRF
                Award ID: C2006‐17E
                Award ID: C4041‐17G
                Funded by: Croucher Foundation Senior Research Fellowship
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 3, 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.6 mode:remove_FC converted:03.06.2022

                β‐catenin,cytokinesis,ovarian cancer,polyploid,tumor‐associated macrophages

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