Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study
Background: Despite the robust data available on inflammatory indices (neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)) and clinical outcome in oncological patients, their utility as a predictor of cancer incidence in the general popul...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/9/4/1177 |
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| author | Margherita Rimini Andrea Casadei-Gardini Alessandra Ravaioli Giulia Rovesti Fabio Conti Alberto Borghi Anna Chiara Dall’Aglio Giorgio Bedogni Marco Domenicali Pierluigi Giacomoni Claudio Tiribelli Lauro Bucchi Fabio Falcini Francesco Giuseppe Foschi Bagnacavallo Study Group |
| author_facet | Margherita Rimini Andrea Casadei-Gardini Alessandra Ravaioli Giulia Rovesti Fabio Conti Alberto Borghi Anna Chiara Dall’Aglio Giorgio Bedogni Marco Domenicali Pierluigi Giacomoni Claudio Tiribelli Lauro Bucchi Fabio Falcini Francesco Giuseppe Foschi Bagnacavallo Study Group |
| author_sort | Margherita Rimini |
| collection | DOAJ |
| description | Background: Despite the robust data available on inflammatory indices (neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)) and clinical outcome in oncological patients, their utility as a predictor of cancer incidence in the general population has not been reported in literature. Methods: The Bagnacavallo study was performed between October 2005 and March 2009. All citizens of Bagnacavallo (Ravenna, Emilia-Romagna, Italy) aged 30–60 years as of January 2005 were eligible and were invited by written letter to participate to the study. All participants underwent a detailed clinical history and physical examination following the model of the Dionysos Study. All blood values included in the analysis were obtained the day of physical examination. Cancer incidence data were obtained from the population-based Romagna Cancer Registry, which operates according to standard methods. The aim of this analysis was to examine the association between metabolic syndrome and baseline SII, NLR, and PLR levels, and the diagnosis of an invasive cancer in the Bagnacavallo study cohort. Results: At univariate analysis, metabolic syndrome was not associated with an increase of cancer incidence (HR 1.30; <i>p</i> = 0.155). High glucose (HR 1.49; <i>p</i> = 0.0.16), NLR HR 1.54, <i>p</i> = 0.002), PLR (HR 1.58, <i>p</i> = 0.001), and SII (HR 1.47, <i>p</i> = 0.006) were associated with an increase of cancer incidence. After adjusting for clinical covariates (smoking, physical activity, education, age, and gender) SII, PLR, and NLR remained independent prognostic factors for the prediction of cancer incidence. Conclusions: Inflammatory indices are promising, easy to perform, and inexpensive tools for identifying patients with higher risk of cancer in cancer-free population. |
| first_indexed | 2024-03-10T20:21:28Z |
| format | Article |
| id | doaj.art-a1725b3061264a06bb1354e67c936f04 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T20:21:28Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-a1725b3061264a06bb1354e67c936f042023-11-19T22:09:24ZengMDPI AGJournal of Clinical Medicine2077-03832020-04-0194117710.3390/jcm9041177Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population StudyMargherita Rimini0Andrea Casadei-Gardini1Alessandra Ravaioli2Giulia Rovesti3Fabio Conti4Alberto Borghi5Anna Chiara Dall’Aglio6Giorgio Bedogni7Marco Domenicali8Pierluigi Giacomoni9Claudio Tiribelli10Lauro Bucchi11Fabio Falcini12Francesco Giuseppe Foschi13Bagnacavallo Study GroupDepartment of Oncology and Hematology, Division of Oncology, University Hospital Modena, 73828 Modena, ItalyDepartment of Oncology and Hematology, Division of Oncology, University Hospital Modena, 73828 Modena, ItalyRomagna Cancer Registry-Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, ItalyDepartment of Oncology and Hematology, Division of Oncology, University Hospital Modena, 73828 Modena, ItalyDepartment of Internal Medicine, Degli Infermi Hospital, 48018 Faenza, ItalyCentro di Ricerca Biomedica Applicata (CRBA), Azienda Ospedaliero-Universitaria Policlinico S. Orsola-Malpighi e Università di Bologna, 40121 Bologna, ItalyDepartment of Internal Medicine, Degli Infermi Hospital, 48018 Faenza, ItalyLiver Research Center, Italian Liver Foundation, Basovizza, 34121 Trieste, ItalyDepartment of Medical and Surgical Sciences-DIMEC, S. Orsola-Malpighi Hospital, Alma Mater Studiorum-University of Bologna, 40121 Bologna, ItalyDepartment of Internal Medicine, Ospedale di Lugo, AUSL Romagna, 48022 Lugo, ItalyLiver Research Center, Italian Liver Foundation, Basovizza, 34121 Trieste, ItalyRomagna Cancer Registry-Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, ItalyRomagna Cancer Registry-Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, ItalyDepartment of Internal Medicine, Degli Infermi Hospital, 48018 Faenza, ItalyBackground: Despite the robust data available on inflammatory indices (neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)) and clinical outcome in oncological patients, their utility as a predictor of cancer incidence in the general population has not been reported in literature. Methods: The Bagnacavallo study was performed between October 2005 and March 2009. All citizens of Bagnacavallo (Ravenna, Emilia-Romagna, Italy) aged 30–60 years as of January 2005 were eligible and were invited by written letter to participate to the study. All participants underwent a detailed clinical history and physical examination following the model of the Dionysos Study. All blood values included in the analysis were obtained the day of physical examination. Cancer incidence data were obtained from the population-based Romagna Cancer Registry, which operates according to standard methods. The aim of this analysis was to examine the association between metabolic syndrome and baseline SII, NLR, and PLR levels, and the diagnosis of an invasive cancer in the Bagnacavallo study cohort. Results: At univariate analysis, metabolic syndrome was not associated with an increase of cancer incidence (HR 1.30; <i>p</i> = 0.155). High glucose (HR 1.49; <i>p</i> = 0.0.16), NLR HR 1.54, <i>p</i> = 0.002), PLR (HR 1.58, <i>p</i> = 0.001), and SII (HR 1.47, <i>p</i> = 0.006) were associated with an increase of cancer incidence. After adjusting for clinical covariates (smoking, physical activity, education, age, and gender) SII, PLR, and NLR remained independent prognostic factors for the prediction of cancer incidence. Conclusions: Inflammatory indices are promising, easy to perform, and inexpensive tools for identifying patients with higher risk of cancer in cancer-free population.https://www.mdpi.com/2077-0383/9/4/1177Inflammatory indicesNLRSIIPLRcancer incidencebreast cancer |
| spellingShingle | Margherita Rimini Andrea Casadei-Gardini Alessandra Ravaioli Giulia Rovesti Fabio Conti Alberto Borghi Anna Chiara Dall’Aglio Giorgio Bedogni Marco Domenicali Pierluigi Giacomoni Claudio Tiribelli Lauro Bucchi Fabio Falcini Francesco Giuseppe Foschi Bagnacavallo Study Group Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study Journal of Clinical Medicine Inflammatory indices NLR SII PLR cancer incidence breast cancer |
| title | Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study |
| title_full | Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study |
| title_fullStr | Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study |
| title_full_unstemmed | Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study |
| title_short | Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study |
| title_sort | could inflammatory indices and metabolic syndrome predict the risk of cancer development analysis from the bagnacavallo population study |
| topic | Inflammatory indices NLR SII PLR cancer incidence breast cancer |
| url | https://www.mdpi.com/2077-0383/9/4/1177 |
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