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      The Prognostic Role of Baseline Metabolic Tumor Burden and Systemic Inflammation Biomarkers in Metastatic Castration-Resistant Prostate Cancer Patients Treated with Radium-223: A Proof of Concept Study

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          Abstract

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          Radium-223 is an alpha-emitting radioisotope that selectively binds to increased bone turnover areas, such as metastatic sites, acting as a bone-seeking calcium mimetic drug. Its therapeutic function in metastatic castration-resistant prostate cancer patients relies on its capability to prolong overall survival, improve quality of life, and delay the first skeletal-related event. However, in the last few years, many studies showed that the survival benefit in the real-life patients might be lower than that initially reported, probably due to a suboptimal selection of patients with poorer prognostic clinical characteristics. In this scenario, it has emerged the urgent need for the identification of reliable biomarkers able to potentially identify patients most likely to benefit from Radium-223 since baseline. With this aim, this preliminary study is the first to combine the prognostic power of baseline FDG-PET/CT and systemic inflammation indexes in a cohort of metastatic castration-resistant prostate cancer patients undergoing Radium-223 administration.

          Abstract

          Over the last years has emerged the urgent need for the identification of reliable prognostic biomarkers able to potentially identify metastatic castration-resistant prostate cancer (mCRPC) patients most likely to benefit from Radium-223 (Ra-223) since baseline. In the present monocentric retrospective study, we analyzed the prognostic power of systemic inflammation biomarkers and 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET)-derived parameters and their potential interplay in this clinical setting. The following baseline laboratory parameters were collected in 59 mCRPC patients treated with Ra-223: neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR), and systemic inflammation index (SII), while maximum Standardized Uptake Value, Metabolic Tumor Volume (MTV), and Total Lesion Glycolysis (TLG) were calculated in the 48 of them submitted to baseline FDG-PET. At the univariate analysis, NLR, dNLR, MTV, and TLG were able to predict the overall survival (OS). However, only NLR and MTV were independent predictors of OS at the multivariate analysis. Additionally, the occurrence of both increased NLR and MTV at baseline identified mCRPC patients at higher risk for lower long-term survival after treatment with Ra-223. In conclusion, the degree of systemic inflammation, the quantification of the metabolically active tumor burden and their combination might represent potentially valuable tools for identifying mCRPC patients who are most likely to benefit from Ra-223. However, further studies are needed to reproduce these findings in larger settings.

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          Most cited references54

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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            The tumor microenvironment significantly influences therapeutic response and clinical outcome. Microenvironment-mediated drug resistance can be induced by soluble factors secreted by tumor or stromal cells. The adhesion of tumor cells to stromal fibroblasts or to components of the extracellular matrix can also blunt therapeutic response. Microenvironment-targeted therapy strategies include inhibition of the extracellular ligand-receptor interactions and downstream pathways. Immune cells can both improve and obstruct therapeutic efficacy and may vary in their activation status within the tumor microenvironment; thus, re-programme of the immune response would be substantially more beneficial. The development of rational drug combinations that can simultaneously target tumor cells and the microenvironment may represent a solution to overcome therapeutic resistance.
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              Measuring agreement in method comparison studies

              Agreement between two methods of clinical measurement can be quantified using the differences between observations made using the two methods on the same subjects. The 95% limits of agreement, estimated by mean difference +/- 1.96 standard deviation of the differences, provide an interval within which 95% of differences between measurements by the two methods are expected to lie. We describe how graphical methods can be used to investigate the assumptions of the method and we also give confidence intervals. We extend the basic approach to data where there is a relationship between difference and magnitude, both with a simple logarithmic transformation approach and a new, more general, regression approach. We discuss the importance of the repeatability of each method separately and compare an estimate of this to the limits of agreement. We extend the limits of agreement approach to data with repeated measurements, proposing new estimates for equal numbers of replicates by each method on each subject, for unequal numbers of replicates, and for replicated data collected in pairs, where the underlying value of the quantity being measured is changing. Finally, we describe a nonparametric approach to comparing methods.
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                Author and article information

                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                31 October 2020
                November 2020
                : 12
                : 11
                : 3213
                Affiliations
                [1 ]Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; cecilia.marini@ 123456unige.it (C.M.); silviadaniela.morbelli@ 123456hsanmartino.it (S.M.); sambuceti@ 123456unige.it (G.S.)
                [2 ]Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; saraelena89@ 123456hotmail.it (S.E.R.); murianni.veronica@ 123456gmail.com (V.M.); roby.borea@ 123456gmail.com (R.B.); alessandra.damassi@ 123456gmail.com (A.D.); catalan.fab@ 123456gmail.com (F.C.); martellivalentino91@ 123456gmail.com (V.M.); giuseppe.fornarini@ 123456hsanmartino.it (G.F.)
                [3 ]Department of Health Sciences (DISSAL), University of Genova, Largo R. Benzi 10, 16132 Genova, Italy; alessio.signori.unige@ 123456gmail.com (A.S.); isabella.donegani@ 123456gmail.com (M.I.D.); albertomiceli23@ 123456gmail.com (A.M.); Stefanoraffa@ 123456live.com (S.R.); m.ponzano@ 123456campus.unimib.it (M.P.)
                [4 ]CNR Institute of Molecular Bioimaging and Physiology (IBFM), 20090 Segrate (MI), Italy
                [5 ]Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; fboccardo@ 123456unige.it
                [6 ]Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genova, 16132 Genova, Italy
                Author notes
                [†]

                These authors equally contributed as first co-authors.

                Author information
                https://orcid.org/0000-0002-1937-9116
                https://orcid.org/0000-0003-0546-6304
                https://orcid.org/0000-0003-4091-4686
                https://orcid.org/0000-0003-2979-6500
                Article
                cancers-12-03213
                10.3390/cancers12113213
                7693606
                33142739
                980cb108-2263-49e4-bcd6-dca4e90eb8da
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 September 2020
                : 29 October 2020
                Categories
                Article

                metastatic castration resistant prostate cancer,radium-223,neutrophil-to-lymphocyte ratio,lymphocyte-to-monocyte ratio,platelet-to-lymphocyte ratio,systemic inflammation index,18f-fluorodeoxyglucose,metabolic tumor volume,total lesion glycolysis,positron emission tomography

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