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1. The long Pentraxin PTX3 serves as an early predictive biomarker of co-infections in COVID-19

Author

Accornero, Stefano, Aghemo, Alessio, Ali, Hussam, Angelini, Claudio, Arcari, Ivan, Arosio, Paola, Azzolini, Elena, Baccarin, Alessandra, Badalamenti, Salvatore, Baggio, Sara, Barbagallo, Michela, Barberi, Caterina, Barbic, Franca, Barbieri, Viviana, Barbone, Alessandro, Basciu, Alessio, Bocciolone, Monica, Borea, Federica, Borroni, Mario, Bresciani, Gianluigi, Brunetta, Enrico, Bulletti, Cinzia, Cadonati, Cristina, Calabro', Lorenzo, Calatroni, Marta, Calvetta Albania, Antonietta, Cannata, Francesco, Canziani, Lorenzo, Capretti Giovanni, Luigi, Carlani, Elisa, Carrone, Flaminia, Casana, Maddalena, Cecconi, Maurizio, Ceriotti, Carlo, Ciccarelli, Michele, Cimino, Matteo, Ciuffini, Leonardo, Colaizzi, Chiara, Colapietro, Francesca, Costa, Guido, Cozzi, Ottavia, Craviotto, Vincenzo, Crespi, Chiara, Crippa, Massimo, Da Rio, Leonardo, Dal Farra, Sara, D'Antonio, Federica, De Ambroggi, Guido, De Donato, Massimo, De Lucia, Francesca, De Santis, Maria, Delle Rose, Giacomo, Di Pilla, Marina, Dipaola, Franca, Dipasquale, Andrea, Dipasquale, Angelo, Droandi, Ginevra, Fazio, Roberta, Ferrante, Giuseppe, Ferrara Elisa, Chiara, Ferrari Matteo, Carlo, Ferri, Sebastian, Folci, Marco, Foresti, Sara, Franchi, Eloisa, Fraolini, Elia, Fugazza, Alessandro, Furfaro, Federica, Galimberti, Paola, Galtieri Alessia, Piera, Gavazzi, Francesca, Generali, Elena, Goletti, Benedetta, Guidelli, Giacomo, Jacobs, Flavia, Kurihara, Hayato, Lagioia, Michele, Libre', Luca, Lleo, Ana, Loiacono, Ferdinando, Lughezzani, Giovanni, Maccallini, Marta, Maiorino Alfonso, Francesco, Malesci, Alberto, Mantovani, Riccardo, Marchettini, Davide, Marinello, Arianna, Markopoulos, Nikolaos, Masetti, Chiara, Milani, Angelo, Mirani, Marco, Morelli, Paola, Motta, Francesca, Mundula, Valeria, Nigro, Mattia, Omodei, Paolo, Ormas, Monica, Pagliaro, Arianna, Paliotti, Roberta, Parigi Tommaso, Lorenzo, Pedale, Rosa, Pegoraro, Francesco, Pellegatta, Gaia, Pellegrino, Marta, Petriello, Gennaro, Piccini, Sara, Pocaterra, Daria, Poliani, Laura, Preatoni, Paoletta, Procopio, Fabio, Puggioni, Francesca, Pugliese, Luca, Racca, Francesca, Randazzo, Michele, Regazzoli Lancini, Damiano, Reggiani, Francesco, Rodolfi, Stefano, Ruongo, Lidia, Sacco, Clara, Sandri Maria, Teresa, Savi, Marzia, Scarfo', Iside, Shiffer, Dana, Sicoli, Federico, Solano, Simone, Solitano, Virginia, Stainer, Anna, Stella Matteo, Carlo, Strangio, Giuseppe, Taormina, Antonio, Testoni, Lucia, Tordato, Federica, Trabucco, Angela, Ulian, Luisa, Valentino, Rossella, Valeriano, Chiara, Vena, Walter, Verlingieri, Simona, Vespa, Edoardo, Voza, Antonio, Zanuso, Valentina, Zilli, Alessandra, Anfray, Clement, Belgiovine, Cristina, Bertocchi, Alice, Bombace, Sara, Brescia, Paola, Calcaterra, Francesca, Calvi, Michela, Cancellara, Assunta, Capucetti, Arianna, Carenza, Claudia, Carloni, Sara, Carnevale, Silvia, Cazzetta, Valentina, Coianiz, Nicolò, Darwich, Abbass, Davoudian, Sadaf, De Paoli, Federica, Di Donato, Rachele, Digifico, Elisabeth, Durante, Barbara, Farina Floriana, Maria, Ferrari, Valentina, Fornasa, Giulia, Franzese, Sara, Ghasemi, Somayehsadat, Gil Gomez, Antonio, Giugliano, Silvia, Gomes Ana, Rita, Lizier, Michela, Lo Cascio, Antonino, Melacarne, Alessia, Mozzarelli, Alessandro, My, Ilaria, Oresta, Bianca, Pasqualini, Fabio, Pastò, Anna, Pelamatti, Erica, Perucchini, Chiara, Pozzi, Chiara, Rimoldi, Valeria, Rimoldi, Monica, Scarpa, Alice, Scavello, Francesco, Silvestri, Alessandra, Sironi, Marina, Spadoni, Ilaria, Spano', Salvatore, Spata, Gianmarco, Supino, Domenico, Tentorio, Paolo, Ummarino, Aldo, Valentino, Sonia, Zaghi, Elisa, Zanon, Veronica, Mapelli, Sarah N., Nappi, Emanuele, García Martín, Ian David, Leone, Roberto, Angelotti, Giovanni, Zhong, Hang, Magrini, Elena, Stravalaci, Matteo, Protti, Alessandro, Santini, Alessandro, Costantini, Elena, Savevski, Victor, Bottazzi, Barbara, Bartoletti, Michele, Mantovani, Alberto, and Garlanda, Cecilia

Published
2024
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2. BNT162b2 vaccine induces antibody release in saliva: a possible role for mucosal viral protection?

Author

Abbass Darwich, Chiara Pozzi, Giulia Fornasa, Michela Lizier, Elena Azzolini, Ilaria Spadoni, Francesco Carli, Antonio Voza, Antonio Desai, Carlo Ferrero, Luca Germagnoli, ICH COVID‐19 Task‐force, Alberto Mantovani, Maria Rescigno, Aghemo Alessio, Anfray Clement, Badalamenti Salvatore, Belgiovine Cristina, Bertocchi Alice, Bombace Sara, Brescia Paola, Calcaterra Francesca, Calvi Michela, Cancellara Assunta, Capucetti Arianna, Carenza Claudia, Carloni Sara, Carnevale Silvia, Cazzetta Valentina, Cecconi Maurizio, Ciccarelli Michele, Coianiz Nicolò, Darwich Abbass, Ana Lleo De Nalda, De Paoli Federica, Di Donato Rachele, Digifico Elisabeth, Durante Barbara, Farina Floriana Maria, Ferrari Valentina, Fornasa Giulia, Franzese Sara, Gil Gomez Antonio, Giugliano Silvia, Ana Rita Gomes, Lizier Michela, Lo Cascio Antonino, Melacarne Alessia, Mozzarelli Alessandro, My Ilaria, Oresta Bianca, Pasqualini Fabio, Pastò Anna, Pelamatti Erica, Perucchini Chiara, Pozzi Chiara, Rimoldi Valeria, Rimoldi Monica, Scarpa Alice, Selmi Carlo, Silvestri Alessandra, Sironi Marina, Spadoni Ilaria, Spano' Salvatore, Spata Gianmarco, Supino Domenico, Tentorio Paolo, Ummarino Aldo, Valentino Sonia, Voza Antonio, Zaghi Elisa, and Zanon Veronica

Subjects
BNT162b2, IgA, IgG, mucosal immunity, SARS‐CoV‐2, Medicine (General), R5-920, Genetics, QH426-470
Abstract

Abstract Vaccination against an airborne pathogen is very effective if it induces also the development of mucosal antibodies that can protect against infection. The mRNA‐based vaccine‐encoding SARS‐CoV‐2 full‐length spike protein (BNT162b2, Pfizer/BioNTech) protects also against infection despite being administered systemically. Here, we show that upon vaccination, cognate IgG molecules are also found in the saliva and are more abundant in SARS‐CoV‐2 previously exposed subjects, paralleling the development of plasma IgG. The antibodies titer declines at 3 months from vaccination. We identified a concentration of specific IgG in the plasma above which the relevant IgG can be detected in the saliva. Regarding IgA antibodies, we found only protease‐susceptible IgA1 antibodies in plasma while they were present at very low levels in the saliva over the course of vaccination of SARS‐CoV‐2‐naïve subjects. Thus, in response to BNT162b2 vaccine, plasma IgG can permeate into mucosal sites and participate in viral protection. It is not clear why IgA1 are detected in low amount, they may be proteolytically cleaved.

Published
2022
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3. A ‘Multiomic’ Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in Coronavirus Disease 2019

Author

Chiara Pozzi, Riccardo Levi, Daniele Braga, Francesco Carli, Abbass Darwich, Ilaria Spadoni, Bianca Oresta, Carola Conca Dioguardi, Clelia Peano, Leonardo Ubaldi, Giovanni Angelotti, Barbara Bottazzi, Cecilia Garlanda, Antonio Desai, Antonio Voza, Elena Azzolini, Maurizio Cecconi, Alberto Mantovani, Giuseppe Penna, Riccardo Barbieri, Letterio S. Politi, Maria Rescigno, Aghemo Alessio, Anfray Clement, Badalamenti Salvatore, Belgiovine Cristina, Bertocchi Alice, Bombace Sara, Brescia Paola, Calcaterra Francesca, Calvi Michela, Cancellara Assunta, Capucetti Arianna, Carenza Claudia, Carloni Sara, Carnevale Silvia, Cazzetta Valentina, Cecconi Maurizio, Ciccarelli Michele, Coianiz Nicolò, Darwich Abbass, Lleo de Nalda Ana, De Paoli Federica, Di Donato Rachele, Digifico Elisabeth, Durante Barbara, FARINA Floriana Maria, Ferrari Valentina, Fornasa Giulia, Franzese Sara, Gil Gomez Antonio, Giugliano Silvia, Gomes Ana Rita, Lizier Michela, Lo Cascio Antonino, Melacarne Alessia, Mozzarelli Alessandro, My Ilaria, Oresta Bianca, Pasqualini Fabio, Pastò Anna, Pelamatti Erica, Perucchini Chiara, Pozzi Chiara, Rimoldi Valeria, Rimoldi Monica, Scarpa Alice, Selmi Carlo, Silvestri Alessandra, Sironi Marina, Spadoni Ilaria, Spano' Salvatore, Spata Gianmarco, Supino Domenico, Tentorio Paolo, Ummarino Aldo, Valentino Sonia, Voza Antonio, Zaghi Elisa, and Zanon Veronica

Subjects
Metabolome, Microbiota, CHI3L1, COVID-19, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background and Aims: The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of the health care systems during the highest viral diffusion rate. Patients reaching the emergency department had to be either hospitalized (inpatients) or discharged (outpatients). Still, the decision was taken based on the individual assessment of the actual clinical condition, without specific biomarkers to predict future improvement or deterioration, and discharged patients often returned to the hospital for aggravation of their condition. Here, we have developed a new combined approach of omics to identify factors that could distinguish coronavirus disease 19 (COVID-19) inpatients from outpatients. Methods: Saliva and blood samples were collected over the course of two observational cohort studies. By using machine learning approaches, we compared salivary metabolome of 50 COVID-19 patients with that of 270 healthy individuals having previously been exposed or not to SARS-CoV-2. We then correlated the salivary metabolites that allowed separating COVID-19 inpatients from outpatients with serum biomarkers and salivary microbiota taxa differentially represented in the two groups of patients. Results: We identified nine salivary metabolites that allowed assessing the need of hospitalization. When combined with serum biomarkers, just two salivary metabolites (myo-inositol and 2-pyrrolidineacetic acid) and one serum protein, chitinase 3-like-1 (CHI3L1), were sufficient to separate inpatients from outpatients completely and correlated with modulated microbiota taxa. In particular, we found Corynebacterium 1 to be overrepresented in inpatients, whereas Actinomycetaceae F0332, Candidatus Saccharimonas, and Haemophilus were all underrepresented in the hospitalized population. Conclusion: This is a proof of concept that a combined omic analysis can be used to stratify patients independently from COVID-19.

Published
2022
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7. Breast implant surface topography triggers a chronic-like inflammatory response

Author

Vinci, Valeriano, primary, Belgiovine, Cristina, additional, Janszen, Gerardus, additional, Agnelli, Benedetta, additional, Pellegrino, Luca, additional, Calcaterra, Francesca, additional, Cancellara, Assunta, additional, Ciceri, Roberta, additional, Benedetti, Alessandra, additional, Cardenas, Cindy, additional, Colombo, Federico, additional, Supino, Domenico, additional, Lozito, Alessia, additional, Caimi, Edoardo, additional, Monari, Marta, additional, Klinger, Francesco Maria, additional, Riccipetitoni, Giovanna, additional, Raffaele, Alessandro, additional, Comoli, Patrizia, additional, Allavena, Paola, additional, Mavilio, Domenico, additional, Di Landro, Luca, additional, Klinger, Marco, additional, and Rusconi, Roberto, additional

Published
2024
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10. Important functional role of the protein osteopontin in the progression of malignant pleural mesothelioma

Author

Digifico, Elisabeth, primary, Erreni, Marco, additional, Mannarino, Laura, additional, Marchini, Sergio, additional, Ummarino, Aldo, additional, Anfray, Clément, additional, Bertola, Luca, additional, Recordati, Camilla, additional, Pistillo, Daniela, additional, Roncalli, Massimo, additional, Bossi, Paola, additional, Zucali, Paolo Andrea, additional, D’Incalci, Maurizio, additional, Belgiovine, Cristina, additional, and Allavena, Paola, additional

Published
2023
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11. Interaction of Bacteria, Immune Cells, and Surface Topography in Periprosthetic Joint Infections

Author

Belgiovine, Cristina, primary, Pellegrino, Luca, additional, Bulgarelli, Alberto, additional, Lauta, Francesca Cecilia, additional, Di Claudio, Alessia, additional, Ciceri, Roberta, additional, Cancellara, Assunta, additional, Calcaterra, Francesca, additional, Mavilio, Domenico, additional, Grappiolo, Guido, additional, Chiappetta, Katia, additional, Loppini, Mattia, additional, and Rusconi, Roberto, additional

Published
2023
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17. Role of Macrophage Targeting in the Antitumor Activity of Trabectedin

Author

Germano, Giovanni, Frapolli, Roberta, Belgiovine, Cristina, Anselmo, Achille, Pesce, Samantha, Liguori, Manuela, Erba, Eugenio, Uboldi, Sarah, Zucchetti, Massimo, Pasqualini, Fabio, Nebuloni, Manuela, van Rooijen, Nico, Mortarini, Roberta, Beltrame, Luca, Marchini, Sergio, Fuso Nerini, Ilaria, Sanfilippo, Roberta, Casali, Paolo G., Pilotti, Silvana, Galmarini, Carlos M., Anichini, Andrea, Mantovani, Alberto, D’Incalci, Maurizio, and Allavena, Paola

Published
2013
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19. Oncogenic KRAS-Induced Protein Signature in the Tumor Secretome Identifies Laminin-C2 and Pentraxin-3 as Useful Biomarkers for the Early Diagnosis of Pancreatic Cancer

Author

Kamal, Mohammad Azhar, primary, Siddiqui, Imran, additional, Belgiovine, Cristina, additional, Barbagallo, Marialuisa, additional, Paleari, Valentina, additional, Pistillo, Daniela, additional, Chiabrando, Chiara, additional, Schiarea, Silvia, additional, Bottazzi, Barbara, additional, Leone, Roberto, additional, Avigni, Roberta, additional, Migliore, Roberta, additional, Spaggiari, Paola, additional, Gavazzi, Francesca, additional, Capretti, Giovanni, additional, Marchesi, Federica, additional, Mantovani, Alberto, additional, Zerbi, Alessandro, additional, and Allavena, Paola, additional

Published
2022
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24. A 'Multiomic' Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in Coronavirus Disease 2019

Author

Chiara Pozzi, Riccardo Levi, Daniele Braga, Francesco Carli, Abbass Darwich, Ilaria Spadoni, Bianca Oresta, Carola Conca Dioguardi, Clelia Peano, Leonardo Ubaldi, Giovanni Angelotti, Barbara Bottazzi, Cecilia Garlanda, Antonio Desai, Antonio Voza, Elena Azzolini, Maurizio Cecconi, Alberto Mantovani, Giuseppe Penna, Riccardo Barbieri, Letterio S. Politi, Maria Rescigno, Aghemo Alessio, Anfray Clement, Badalamenti Salvatore, Belgiovine Cristina, Bertocchi Alice, Bombace Sara, Brescia Paola, Calcaterra Francesca, Calvi Michela, Cancellara Assunta, Capucetti Arianna, Carenza Claudia, Carloni Sara, Carnevale Silvia, Cazzetta Valentina, Cecconi Maurizio, Ciccarelli Michele, Coianiz Nicolò, Darwich Abbass, Lleo de Nalda Ana, De Paoli Federica, Di Donato Rachele, Digifico Elisabeth, Durante Barbara, FARINA Floriana Maria, Ferrari Valentina, Fornasa Giulia, Franzese Sara, Gil Gomez Antonio, Giugliano Silvia, Gomes Ana Rita, Lizier Michela, Lo Cascio Antonino, Melacarne Alessia, Mozzarelli Alessandro, My Ilaria, Oresta Bianca, Pasqualini Fabio, Pastò Anna, Pelamatti Erica, Perucchini Chiara, Pozzi Chiara, Rimoldi Valeria, Rimoldi Monica, Scarpa Alice, Selmi Carlo, Silvestri Alessandra, Sironi Marina, Spadoni Ilaria, Spano' Salvatore, Spata Gianmarco, Supino Domenico, Tentorio Paolo, Ummarino Aldo, Valentino Sonia, Voza Antonio, Zaghi Elisa, and Zanon Veronica

Subjects
PCA, principal component analysis, SVM, support vector machine, ESI, electrospray ionization, FDR, false discovery rate, Microbiota, IgG, immunoglobulin G, COVID-19, LR, logistic regression, Original Research—Basic, CHI3L1, chitinase 3-like-1, ELISA, enzyme-linked immunosorbent assay, PTX3, pentraxin 3, CI, confidence interval, AUC, area under the curve, RFE, recursive feature elimination, Metabolome, CHI3L1, COVID-19, coronavirus disease 19, DT, decision tree
Abstract

Background and Aims The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of the health care systems during the highest viral diffusion rate. Patients reaching the emergency department had to be either hospitalized (inpatients) or discharged (outpatients). Still, the decision was taken based on the individual assessment of the actual clinical condition, without specific biomarkers to predict future improvement or deterioration, and discharged patients often returned to the hospital for aggravation of their condition. Here, we have developed a new combined approach of omics to identify factors that could distinguish coronavirus disease 19 (COVID-19) inpatients from outpatients. Methods Saliva and blood samples were collected over the course of two observational cohort studies. By using machine learning approaches, we compared salivary metabolome of 50 COVID-19 patients with that of 270 healthy individuals having previously been exposed or not to SARS-CoV-2. We then correlated the salivary metabolites that allowed separating COVID-19 inpatients from outpatients with serum biomarkers and salivary microbiota taxa differentially represented in the two groups of patients. Results We identified nine salivary metabolites that allowed assessing the need of hospitalization. When combined with serum biomarkers, just two salivary metabolites (myo-inositol and 2-pyrrolidineacetic acid) and one serum protein, chitinase 3-like-1 (CHI3L1), were sufficient to separate inpatients from outpatients completely and correlated with modulated microbiota taxa. In particular, we found Corynebacterium 1 to be overrepresented in inpatients, whereas Actinomycetaceae F0332, Candidatus Saccharimonas, and Haemophilus were all underrepresented in the hospitalized population. Conclusion This is a proof of concept that a combined omic analysis can be used to stratify patients independently from COVID-19.

Published
2021

25. Meta-Analysis on Long-Term Outcomes of Pediatric Renal Cancer Survivors Following COG and SIOP Protocols.

Author

Raffaele, Alessandro, Gazzaneo, Marta, Busel, Adi, Vatta, Fabrizio, Belgiovine, Cristina, Parigi, Gian Battista, and Riccipetitoni, Giovanna

Subjects
RENAL cancer, CHILDHOOD cancer, CANCER survivors, CHRONIC kidney failure, GLOMERULAR filtration rate
Abstract

Background Pediatric renal cancer survivors have higher rate of chronic renal disease and hypertension. These patients have similar survival rates when treated according to either Children's Oncology Group (COG) or International Society of Pediatric Oncology (SIOP) protocols. We aimed to compare the late outcome of these two approaches. Methods We performed a meta-analysis of all studies from 2000 to 2021; database search using keywords: long-term outcomes OR late effects, nephrectomy, pediatric renal cancer. For each protocol, data were collected, and the "pooled" outcomes were compared. Continuous and dichotomous variables were obtained with a 95% odds ratio. Results Sixteen studies with a total of 715 pediatric renal cancer survivors were analyzed. The mean follow-up time was 17.4 (standard deviation 5.6) years. Reduced renal function and hypertension were the most encountered long-term complications. The mean estimated glomerular filtration rate was similar in both protocols (101.62 vs. 101.70 mL/min/1.73 m2), while the prevalence of hypertension was 23% in COG and 10% in SIOP. The prevalence of secondary malignancy was 1.1% in COG and 6.7% in SIOP (1.1% vs. 6.7%, p ≤ 0.001). Chronic kidney disease was similar in both groups. Conclusion A high prevalence of hypertension was observed among pediatric renal cancer survivors, as well as an increased risk of a secondary tumor. These results emphasize the importance of long-term follow-up into adulthood, to promptly diagnose any long-term side effects of the treatment. Thanks to the increased overall survival, future protocols will pay attention to the reduction of long-term sequelae. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Macrophages and Monocytes: “Trojan Horses” in COVID-19

Author

Percivalle, Elena, primary, Sammartino, Josè Camilla, additional, Cassaniti, Irene, additional, Arbustini, Eloisa, additional, Urtis, Mario, additional, Smirnova, Alexandra, additional, Concardi, Monica, additional, Belgiovine, Cristina, additional, Ferrari, Alessandro, additional, Lilleri, Daniele, additional, Piralla, Antonio, additional, and Baldanti, Fausto, additional

Published
2021
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28. Dispositivo e metodo per testare protesi

Author

Janszen, Gerardus, DI LANDRO, LUCA ANGELO, Benedetti, Alessandra, Vinci, Valeriano, Rusconi, Roberto, Belgiovine, Cristina, Agnelli, Benedetta, and Klinger, Marco

Published
2021

29. Study of Inflammatory and Infection Markers in Periprosthetic Fluid: Correlation with Blood Analysis in Retrospective and Prospective Studies

Author

Lisa, Andrea, primary, Belgiovine, Cristina, additional, Maione, Luca, additional, Rimondo, Andrea, additional, Battistini, Andrea, additional, Agnelli, Benedetta, additional, Murolo, Matteo, additional, Galtelli, Leonardo, additional, Monari, Marta, additional, Klinger, Marco, additional, and Vinci, Valeriano, additional

Published
2021
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30. Targeting Tumor-Associated Macrophages in Anti-Cancer Therapies: Convincing the Traitors to Do the Right Thing

Author

Universidade de Santiago de Compostela. Centro de Investigación en Medicina Molecular e Enfermidades Crónicas, Belgiovine, Cristina, Digifico, Elisabeth, Anfray, Clément, Ummarino, Aldo, Torres Andón, Fernando, Universidade de Santiago de Compostela. Centro de Investigación en Medicina Molecular e Enfermidades Crónicas, Belgiovine, Cristina, Digifico, Elisabeth, Anfray, Clément, Ummarino, Aldo, and Torres Andón, Fernando

Abstract

In the last decade, it has been well-established that tumor-infiltrating myeloid cells fuel not only the process of carcinogenesis through cancer-related inflammation mechanisms, but also tumor progression, invasion, and metastasis. In particular, tumor-associated macrophages (TAMs) are the most abundant leucocyte subset in many cancers and play a major role in the creation of a protective niche for tumor cells. Their ability to generate an immune-suppressive environment is crucial to escape the immune system and to allow the tumor to proliferate and metastasize to distant sites. Conventional therapies, including chemotherapy and radiotherapy, are often not able to limit cancer growth due to the presence of pro-tumoral TAMs; these are also responsible for the failure of novel immunotherapies based on immune-checkpoint inhibition. Several novel therapeutic strategies have been implemented to deplete TAMs; however, more recent approaches aim to use TAMs themselves as weapons to fight cancer. Exploiting their functional plasticity, the reprogramming of TAMs aims to convert immunosuppressive and pro-tumoral macrophages into immunostimulatory and anti-tumor cytotoxic effector cells. This shift eventually leads to the reconstitution of a reactive immune landscape able to destroy the tumor. In this review, we summarize the current knowledge on strategies able to reprogram TAMs with single as well as combination therapies

Published
2020

34. Additional file 6: of Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism

Author

Mazzoni, Mara, Mauro, Giuseppe, Erreni, Marco, Romeo, Paola, Minna, Emanuela, Vizioli, Maria, Belgiovine, Cristina, Rizzetti, Maria, Pagliardini, Sonia, Avigni, Roberta, Anania, Maria, Allavena, Paola, Borrello, Maria, and Greco, Angela

Abstract

Figure S5. PTGS2 and M2 markers expression in PTCs from TCGA dataset. (a) Heatmap showing PTGS2 and M2 markers (CD163 and CD206) expression across 486 PTCs from TCGA study. Normalized RNA sequencing data of the three genes were downloaded from cBioPortal for Cancer Genomics ( www.cbioportal.org ; accessed January 2019). Class was established based on PTGS2 and CD163 median expression as described in Fig. 7. (b) Correlation by Spearman coefficient between PTGS2 and CD163 expression in the same cohort. (PDF 208 kb)

Published
2019
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35. Additional file 4: of Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism

Author

Mazzoni, Mara, Mauro, Giuseppe, Erreni, Marco, Romeo, Paola, Minna, Emanuela, Vizioli, Maria, Belgiovine, Cristina, Rizzetti, Maria, Pagliardini, Sonia, Avigni, Roberta, Anania, Maria, Allavena, Paola, Borrello, Maria, and Greco, Angela

Abstract

Figure S3. Wound healing assay performed on K1 cells treated with conditioned media from M0, M1 and M2 control macrophages, or with media containing 0% or 10% FCS. The graph shows the percentage of wound closure quantified at the indicated time points (a) and specifically 8 h post-wound (b). Error bars represent standard deviation of four independent experiments. Statistical significance was determined by unpaired t test. ** p

Published
2019
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36. Additional file 3: of Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism

Author

Mazzoni, Mara, Mauro, Giuseppe, Erreni, Marco, Romeo, Paola, Minna, Emanuela, Vizioli, Maria, Belgiovine, Cristina, Rizzetti, Maria, Pagliardini, Sonia, Avigni, Roberta, Anania, Maria, Allavena, Paola, Borrello, Maria, and Greco, Angela

Subjects
endocrine system
Abstract

Figure S2. qRT-PCR analysis of CSF-1 transcript levels normalized with the 18S RNA levels in: (a) proliferating (PTh) and senescent (STh) thyrocytes; (b) normal thyroid cell (Nthy) and tumor thyroid cell lines (K1, BCPAP, HTC/C3 and FRO81â 2). (PDF 60 kb)

Published
2019
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37. Additional file 1: of Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism

Author

Mazzoni, Mara, Mauro, Giuseppe, Erreni, Marco, Romeo, Paola, Minna, Emanuela, Vizioli, Maria, Belgiovine, Cristina, Rizzetti, Maria, Pagliardini, Sonia, Avigni, Roberta, Anania, Maria, Allavena, Paola, Borrello, Maria, and Greco, Angela

Abstract

Supplementary Results and Methods. (DOCX 16 kb)

Published
2019
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38. Additional file 5: of Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism

Author

Mazzoni, Mara, Mauro, Giuseppe, Erreni, Marco, Romeo, Paola, Minna, Emanuela, Vizioli, Maria, Belgiovine, Cristina, Rizzetti, Maria, Pagliardini, Sonia, Avigni, Roberta, Anania, Maria, Allavena, Paola, Borrello, Maria, and Greco, Angela

Subjects
integumentary system
Abstract

Figure S4. NS398 inhibits PGE2 production and M2-like polarizing ability of BCPAP and K1 thyroid cells. (a) PGE2 secretion, determined by ELISA, of BCPAP and K1 cells treated with NS398 at the indicated doses. (b) Macrophages induced by CM from samples in (a) were analyzed for CD206 expression by FACS and for the secretion of CCL17 by ELISA. Statistical significance was determined by unpaired t test. *p

Published
2019
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39. Lurbinectedin reduces tumour-associated macrophages and the inflammatory tumour microenvironment in preclinical models

Author

Belgiovine, Cristina, primary, Bello, Ezia, additional, Liguori, Manuela, additional, Craparotta, Ilaria, additional, Mannarino, Laura, additional, Paracchini, Lara, additional, Beltrame, Luca, additional, Marchini, Sergio, additional, Galmarini, Carlos M, additional, Mantovani, Alberto, additional, Frapolli, Roberta, additional, Allavena, Paola, additional, and D'Incalci, Maurizio, additional

Published
2017
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43. Trabectedin

Author

Allavena, Paola, Germano, Giovanni, Belgiovine, Cristina, D’Incalci, Maurizio, and Mantovani, Alberto

Subjects
angiogenesis, stomatognathic system, tumor-associated macrophages, chemotherapy, Author's View, marine drug, micro-environment
Abstract

Tumor-associated macrophages (TAMs) and other myeloid cells that infiltrate neoplastic lesions promote tumor progression and are associated with poor patient prognosis. We have recently demonstrated that trabectedin, a licensed and commercially available anticancer agent, is selectively cytotoxic for TAMs and their circulating precursors (monocytes). The macrophage-depleting effect of trabectedin is a key component of its antitumor activity.

Published
2013

46. Super-telomeres in transformed human fibroblasts

Author

Chiodi, Ilaria, primary, Belgiovine, Cristina, additional, Zongaro, Samantha, additional, Ricotti, Roberta, additional, Horard, Beatrice, additional, Lossani, Andrea, additional, Focher, Federico, additional, Gilson, Eric, additional, Giulotto, Elena, additional, and Mondello, Chiara, additional

Published
2013
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49. Reduced Expression of the ROCK Inhibitor Rnd3 Is Associated with Increased Invasiveness and Metastatic Potential in Mesenchymal Tumor Cells

Author

Belgiovine, Cristina, primary, Frapolli, Roberta, additional, Bonezzi, Katiuscia, additional, Chiodi, Ilaria, additional, Favero, Francesco, additional, Mello-Grand, Maurizia, additional, Dei Tos, Angelo P., additional, Giulotto, Elena, additional, Taraboletti, Giulia, additional, D'Incalci, Maurizio, additional, and Mondello, Chiara, additional

Published
2010
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50. Trabectedin: A drug from the sea that strikes tumor-associated macrophages.

Author

Allavena P, Germano G, Belgiovine C, D'Incalci M, and Mantovani A

Abstract

Tumor-associated macrophages (TAMs) and other myeloid cells that infiltrate neoplastic lesions promote tumor progression and are associated with poor patient prognosis. We have recently demonstrated that trabectedin, a licensed and commercially available anticancer agent, is selectively cytotoxic for TAMs and their circulating precursors (monocytes). The macrophage-depleting effect of trabectedin is a key component of its antitumor activity.

Published
2013
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