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      Suppression of tumor-associated neutrophils by lorlatinib attenuates pancreatic cancer growth and improves treatment with immune checkpoint blockade

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          Abstract

          Pancreatic ductal adenocarcinoma (PDAC) patients have a 5-year survival rate of only 8% largely due to late diagnosis and insufficient therapeutic options. Neutrophils are among the most abundant immune cell type within the PDAC tumor microenvironment (TME), and are associated with a poor clinical prognosis. However, despite recent advances in understanding neutrophil biology in cancer, therapies targeting tumor-associated neutrophils are lacking. Here, we demonstrate, using pre-clinical mouse models of PDAC, that lorlatinib attenuates PDAC progression by suppressing neutrophil development and mobilization, and by modulating tumor-promoting neutrophil functions within the TME. When combined, lorlatinib also improves the response to anti-PD-1 blockade resulting in more activated CD8 + T cells in PDAC tumors. In summary, this study identifies an effect of lorlatinib in modulating tumor-associated neutrophils, and demonstrates the potential of lorlatinib to treat PDAC.

          Abstract

          Tumor associated neutrophils have been correlated with poor prognosis in patients with pancreatic ductal adenocarcinoma (PDAC). Here the authors show that the tyrosine kinase inhibitor lorlatinib modulates neutrophil development and recruitment in the tumor microenvironment, attenuating PDAC progression in preclinical mouse models.

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          Most cited references42

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          Cancer Statistics, 2017.

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data 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 were collected by the National Center for Health Statistics. In 2017, 1,688,780 new cancer cases and 600,920 cancer deaths are projected to occur in the United States. For all sites combined, the cancer incidence rate is 20% higher in men than in women, while the cancer death rate is 40% higher. However, sex disparities vary by cancer type. For example, thyroid cancer incidence rates are 3-fold higher in women than in men (21 vs 7 per 100,000 population), despite equivalent death rates (0.5 per 100,000 population), largely reflecting sex differences in the "epidemic of diagnosis." Over the past decade of available data, the overall cancer incidence rate (2004-2013) was stable in women and declined by approximately 2% annually in men, while the cancer death rate (2005-2014) declined by about 1.5% annually in both men and women. From 1991 to 2014, the overall cancer death rate dropped 25%, translating to approximately 2,143,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the cancer death rate was 15% higher in blacks than in whites in 2014, increasing access to care as a result of the Patient Protection and Affordable Care Act may expedite the narrowing racial gap; from 2010 to 2015, the proportion of blacks who were uninsured halved, from 21% to 11%, as it did for Hispanics (31% to 16%). Gains in coverage for traditionally underserved Americans will facilitate the broader application of existing cancer control knowledge across every segment of the population. CA Cancer J Clin 2017;67:7-30. © 2017 American Cancer Society.
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            The prognostic landscape of genes and infiltrating immune cells across human cancers.

            Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of clinical outcomes. However, existing data sets are fragmented and difficult to analyze systematically. Here we present a pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies. By using this resource, we identified a forkhead box MI (FOXM1) regulatory network as a major predictor of adverse outcomes, and we found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes. By applying CIBERSORT, a computational approach for inferring leukocyte representation in bulk tumor transcriptomes, we identified complex associations between 22 distinct leukocyte subsets and cancer survival. For example, tumor-associated neutrophil and plasma cell signatures emerged as significant but opposite predictors of survival for diverse solid tumors, including breast and lung adenocarcinomas. This resource and associated analytical tools (http://precog.stanford.edu) may help delineate prognostic genes and leukocyte subsets within and across cancers, shed light on the impact of tumor heterogeneity on cancer outcomes, and facilitate the discovery of biomarkers and therapeutic targets.
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              Neutrophils in cancer: neutral no more.

              Neutrophils are indispensable antagonists of microbial infection and facilitators of wound healing. In the cancer setting, a newfound appreciation for neutrophils has come into view. The traditionally held belief that neutrophils are inert bystanders is being challenged by the recent literature. Emerging evidence indicates that tumours manipulate neutrophils, sometimes early in their differentiation process, to create diverse phenotypic and functional polarization states able to alter tumour behaviour. In this Review, we discuss the involvement of neutrophils in cancer initiation and progression, and their potential as clinical biomarkers and therapeutic targets.
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                Author and article information

                Contributors
                sebastian.nielsen@bric.ku.dk
                janine.erler@bric.ku.dk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 June 2021
                7 June 2021
                2021
                : 12
                : 3414
                Affiliations
                [1 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Biotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), ; Copenhagen, Denmark
                [2 ]CRUK Beatson Institute, Garscube Estate, Glasgow, UK
                [3 ]GRID grid.225279.9, ISNI 0000 0004 0387 3667, Cold Spring Harbor Laboratory, Cold Spring Harbor, ; New York, NY USA
                [4 ]Lustgarten Pancreatic Cancer Research Laboratory, Cold Spring Harbor, New York, NY USA
                [5 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Microbiology and Molecular Genetics, , University of California Davis, ; Davis, CA USA
                [6 ]GRID grid.8756.c, ISNI 0000 0001 2193 314X, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, ; Glasgow, UK
                Author information
                http://orcid.org/0000-0002-8449-476X
                http://orcid.org/0000-0001-9530-9585
                http://orcid.org/0000-0003-3739-6320
                http://orcid.org/0000-0002-9434-4108
                http://orcid.org/0000-0002-7317-4058
                http://orcid.org/0000-0002-3727-0667
                http://orcid.org/0000-0002-5710-7672
                http://orcid.org/0000-0001-9540-3010
                http://orcid.org/0000-0001-5766-9141
                http://orcid.org/0000-0001-8675-6527
                Article
                23731
                10.1038/s41467-021-23731-7
                8184753
                34099731
                bc463097-5a68-4874-b8d8-2e62ade502e2
                © The Author(s) 2021

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 November 2020
                : 29 April 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: ERC-2015-CoG-682881-Matrican
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100009708, Novo Nordisk Fonden (Novo Nordisk Foundation);
                Award ID: Hallas-Møller Stipend
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                cancer microenvironment,pancreatic cancer,tumour immunology
                Uncategorized
                cancer microenvironment, pancreatic cancer, tumour immunology

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