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Douka K, Frantzi M, Matthaiakaki-Panagiotaki M, Mazzoni F, Fancelli S, Pilozzi S, Ulivi P, Antonuzzo L, Delmonte A, Roman V, Sigala I, Gianniou N, Kalomenidis I, Makridakis M, Vlahou A, Mischak H, Tsoumakidou M. 205P Modelling of NSCLC aPD1 responses in bronchoscopc biopsies on chip (bronchoBOCs). J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00458-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Cantini L, Mentrasti G, Lo Russo G, Signorelli D, Pasello G, Rijavec E, Russano M, Antonuzzo L, Rocco D, Giusti R, Adamo V, Genova C, Tuzi A, Morabito A, Gori S, La Verde N, Chiari R, Cortellini A, Cognigni V, Pecci F, Indini A, De Toma A, Zattarin E, Oresti S, Pizzutilo E, Frega S, Erbetta E, Galletti A, Citarella F, Fancelli S, Caliman E, Della Gravara L, Malapelle U, Filetti M, Piras M, Toscano G, Zullo L, De Tursi M, Di Marino P, D’Emilio V, Cona M, Guida A, Caglio A, Salerno F, Spinelli G, Bennati C, Morgillo F, Russo A, Dellepiane C, Vallini I, Sforza V, Inno A, Rastelli F, Tassi V, Nicolardi L, Pensieri M, Emili R, Roca E, Migliore A, Galassi T, Rocchi M, Berardi R. Erratum to ‘Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario’. ESMO Open 2022; 7:100471. [PMID: 35378403 PMCID: PMC8973259 DOI: 10.1016/j.esmoop.2022.100471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Cantini L, Mentrasti G, Russo GL, Signorelli D, Pasello G, Rijavec E, Russano M, Antonuzzo L, Rocco D, Giusti R, Adamo V, Genova C, Tuzi A, Morabito A, Gori S, Verde NL, Chiari R, Cortellini A, Cognigni V, Pecci F, Indini A, De Toma A, Zattarin E, Oresti S, Pizzutilo EG, Frega S, Erbetta E, Galletti A, Citarella F, Fancelli S, Caliman E, Della Gravara L, Malapelle U, Filetti M, Piras M, Toscano G, Zullo L, De Tursi M, Di Marino P, D'Emilio V, Cona MS, Guida A, Caglio A, Salerno F, Spinelli G, Bennati C, Morgillo F, Russo A, Dellepiane C, Vallini I, Sforza V, Inno A, Rastelli F, Tassi V, Nicolardi L, Pensieri V, Emili R, Roca E, Migliore A, Galassi T, Rocchi MLB, Berardi R. Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario. ESMO Open 2022; 7:100406. [PMID: 35219245 PMCID: PMC8810307 DOI: 10.1016/j.esmoop.2022.100406] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 01/19/2022] [Accepted: 01/23/2022] [Indexed: 12/18/2022] Open
Abstract
Introduction COVID-19 has disrupted the global health care system since March 2020. Lung cancer (LC) patients (pts) represent a vulnerable population highly affected by the pandemic. This multicenter Italian study aimed to evaluate whether the COVID-19 outbreak had an impact on access to cancer diagnosis and treatment of LC pts compared with pre-pandemic time. Methods Consecutive newly diagnosed LC pts referred to 25 Italian Oncology Departments between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset and diagnostic and therapeutic services were compared with the same period in 2019. Differences between the 2 years were analyzed using the chi-square test for categorical variables and the Mann–Whitney U test for continuous variables. Results A slight reduction (−6.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019 (1523 versus 1637, P = 0.09). Newly diagnosed LC pts in 2020 were more likely to be diagnosed with stage IV disease (P < 0.01) and to be current smokers (someone who has smoked more than 100 cigarettes, including hand-rolled cigarettes, cigars, cigarillos, in their lifetime and has smoked in the last 28 days) (P < 0.01). The drop in terms of new diagnoses was greater in the lockdown period (percentage drop −12% versus −3.2%) compared with the other months included. More LC pts were referred to a low/medium volume hospital in 2020 compared with 2019 (P = 0.01). No differences emerged in terms of interval between symptoms onset and radiological diagnosis (P = 0.94), symptoms onset and cytohistological diagnosis (P = 0.92), symptoms onset and treatment start (P = 0.40), and treatment start and first radiological revaluation (P = 0.36). Conclusions Our study pointed out a reduction of new diagnoses with a shift towards higher stage at diagnosis for LC pts in 2020. Despite this, the measures adopted by Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts. The COVID-19 outbreak had an impact on access to lung cancer (LC) diagnosis and treatment. A slight reduction (−6.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019. Newly diagnosed LC pts in 2020 were more likely to be diagnosed with stage IV disease. The Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts. A reverse migration from high-volume to low-volume cancer centers was noted during the pandemic.
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Affiliation(s)
- L Cantini
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy. https://twitter.com/LucaCantiniMD
| | - G Mentrasti
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - G L Russo
- Oncologia Medica 1, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - D Signorelli
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - G Pasello
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padua, Italy; Medical Oncology 2, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - E Rijavec
- Medical Oncology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - M Russano
- Department of Medical Oncology, Campus Bio-Medico University, Rome, Italy
| | - L Antonuzzo
- Medical Oncology Unit, Careggi University Hospital, Florence, Italy
| | - D Rocco
- Department of Pulmonology and Oncology, AORN dei Colli Monaldi, Naples, Italy
| | - R Giusti
- UOC Oncologia Medica, Azienda Ospedaliero Universitaria Sant'Andrea, Università La Sapienza, Rome, Italy
| | - V Adamo
- Oncologia Medica, A.O.Papardo & Università di Messina, Messina, Italy
| | - C Genova
- UOC Clinica di Oncologia Medica, IRCCS Ospedale San Martino, Department of Internal Medicine and Medical Specialties (DIMI), Università degli Studi di Genova, Genoa, Italy
| | - A Tuzi
- Oncologia Medica, ASST Sette Laghi, Varese, Italy
| | - A Morabito
- Thoracic Medical Oncology, Istituto Nazionale Tumori "Fondazione G Pascale", IRCCS, Naples, Italy
| | - S Gori
- UOC Oncologia Medica, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar di Valpolicella, Verona, Italy
| | - N La Verde
- Department of Oncology, Ospedale Luigi Sacco, ASST Fatebenefratelli Sacco, Milan, Italy
| | - R Chiari
- Medical Oncology, Ospedali Riuniti Padova Sud, Monselice, Italy
| | - A Cortellini
- Medical Oncology, St Salvatore Hospital, L'Aquila, Italy
| | - V Cognigni
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - F Pecci
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - A Indini
- Medical Oncology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - A De Toma
- Oncologia Medica 1, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - E Zattarin
- Oncologia Medica 1, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - S Oresti
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - E G Pizzutilo
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - S Frega
- Medical Oncology 2, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - E Erbetta
- Medical Oncology 2, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - A Galletti
- Department of Medical Oncology, Campus Bio-Medico University, Rome, Italy
| | - F Citarella
- Department of Medical Oncology, Campus Bio-Medico University, Rome, Italy
| | - S Fancelli
- Medical Oncology Unit, Careggi University Hospital, Florence, Italy
| | - E Caliman
- Medical Oncology Unit, Careggi University Hospital, Florence, Italy
| | - L Della Gravara
- Dipartment of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - U Malapelle
- Department of Public Health, Università degli Studi di Napoli "Federico II", Naples, Italy
| | - M Filetti
- UOC Oncologia Medica, Azienda Ospedaliero Universitaria Sant'Andrea, Università La Sapienza, Rome, Italy
| | - M Piras
- UOC Oncologia Medica, Azienda Ospedaliero Universitaria Sant'Andrea, Università La Sapienza, Rome, Italy
| | - G Toscano
- Oncologia Medica, A.O.Papardo, Messina, Italy
| | - L Zullo
- UOC Oncologia Medica 2, IRCCS Ospedale San Martino, Genoa, Italy
| | - M De Tursi
- Department of Innovative Technologies in Medicine & Dentistry, Università G. D'Annunzio, Chieti-Pescara, Chieti, Italy
| | - P Di Marino
- Department of Innovative Technologies in Medicine & Dentistry, Università G. D'Annunzio, Chieti-Pescara, Chieti, Italy
| | - V D'Emilio
- UOC Pneumologia, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - M S Cona
- Department of Oncology, Ospedale Luigi Sacco, ASST Fatebenefratelli Sacco, Milan, Italy
| | - A Guida
- Oncologia Medica e Traslazionale, AO Santa Maria, Terni, Italy
| | - A Caglio
- Department of Oncology, University of Turin, Ordine Mauriziano Hospital, Turin, Italy
| | - F Salerno
- Department of Oncology, University of Turin, Ordine Mauriziano Hospital, Turin, Italy
| | - G Spinelli
- UOC Territorial Oncology, University "Sapienza", AUSL Latina, Cds Aprilia, Aprilia, Italy
| | - C Bennati
- Department of Onco-Hematology, AUSL della Romagna, Ravenna, Italy
| | - F Morgillo
- UOC Oncologia ed Ematologia, Department of Precision Medicine, Università degli studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - A Russo
- Oncologia Medica, A.O.Papardo, Messina, Italy
| | - C Dellepiane
- UOC Oncologia Medica 2, IRCCS Ospedale San Martino, Genoa, Italy
| | - I Vallini
- Oncologia Medica, ASST Sette Laghi, Varese, Italy
| | - V Sforza
- Thoracic Medical Oncology, Istituto Nazionale Tumori "Fondazione G Pascale", IRCCS, Naples, Italy
| | - A Inno
- UOC Oncologia Medica, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar di Valpolicella, Verona, Italy
| | - F Rastelli
- UOC Oncologia, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - V Tassi
- Chirurgia Toracica, AO Santa Maria, Terni, Italy
| | - L Nicolardi
- Medical Oncology, Ospedali Riuniti Padova Sud, Monselice, Italy
| | - V Pensieri
- Medical Oncology, St Salvatore Hospital, L'Aquila, Italy
| | - R Emili
- Operative Oncology Unit, Azienda Ospedaliera Ospedali Riuniti Marche Nord, Pesaro, Italy
| | - E Roca
- Thoracic Oncology - Lung Unit, Pederzoli Hospital, Peschiera Del Garda, Italy
| | - A Migliore
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - T Galassi
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - M L Bruno Rocchi
- Biomolecular Sciences Department, University of Urbino, Urbino, Italy
| | - R Berardi
- Department of Medical Oncology, Università Politecnica delle Marche, AOU Ospedali Riuniti di Ancona, Ancona, Italy.
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Rosell R, Chaib I, Ito M, Laguia F, Lligé D, Fancelli S, Pudelko L, Pedraz-Valdunciel C, Filipska M, Bracht J, Arbiser J, Codony-Servat J, Giménez-Capitán A, Viteri S, González-Cao M, Aguilar A, Molina-Vila M. P61.01 Imipramine Blue (IP) plus MET Tyrosine Kinase Inhibitors (TKI) Suppress Lung Adenocarcinoma (LUAD) KRAS Mutation Tumor Growth. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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D'Alonzo A, Lambertini M, Ferreira A, Poggia F, Puglisi F, Sottotetti F, Poletto E, Pozzi E, Risi E, Lai A, Dellepiane C, Sini V, Ziliani S, Minuti G, Mura S, Grasso D, Fancelli S, Pronzato P, Del Mastro L. First line trastuzumab-based therapy in her2-positive metastatic breast cancer patients presenting with de novo or recurrent disease. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Salvadori B, Caligo A, Montagnani I, Spugnesi L, Fontana A, landucci E, Michelotti A, Ferrarini I, Bertolini I, De Angelis C, Fancelli S, Pfanner E, Falcone A. Inherited mutations in breast cancer susceptibility genes among a triple negative breast cancer cohort unselected for family history of breast cancer. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.47] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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La Ferla M, Cantini L, Aretini P, Scatena C, Bertolini I, Fancelli S, Ferrarini I, De Angelis C, Salvadori B, Michelotti A, Landucci E, Ghilli M, Fustaino L, Lo Russo M, Roncella M, Falcone A, Bevilacqua G, Naccarato G, Mazzanti C, Fontana A. Whole-exome sequencing of HER-2 positive human breast cancers: potential molecular mechanisms of response to neoadjuvant chemotherapy plus trastuzumab. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Conte L, Fabiani I, Pugliese N, De Angelis C, Bertolini I, Ferrarini I, Fancelli S, Fontana A, Salvadori B, Landucci E, Michelotti A, Falcone A, Di Bello V. Incremental value of 3D echocardiography and two-dimensional speckle tracking in the early detection of cardiotoxicity linked to chemotherapy and trastuzumab in patients with HER-2 positive breast cancer. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Ferrarini I, Bertolini I, Fancelli S, De Angelis C, Fontana A, Salvadori B, Landucci E, Michelotti A, Falcone A. Evaluation of safety and activity of everolimus plus exemestane in metastatic breast cancer: a single institution experience. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Pizzuti L, Barba M, Sperduti I, Natoli C, Gamucci T, Sergi D, Di Lauro L, Moscetti L, Izzo F, Rinaldi M, Mentuccia L, Vaccaro A, Iezzi L, Fancelli S, Grassadonia A, Michelotti A, Pescarmona E, Perracchio L, Maugeri-Saccà M, Vici P. Impact of Body Mass Index (BMI) on outcome of metastatic breast cancer (MBC) patients (pts) treated with Eribulin in a real-world population: a multicenter retrospective study. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bertolini I, Ferrarini I, Fancelli S, De Angelis C, Fontana A, Salvadori B, Landucci E, Michelotti A, Falcone A. T-DM1 for HER2 positive advanced breast cancer: a single institution, “real life” experience. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv336.59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Del Re M, Fontana A, Del Re I, Bona E, Salvadori B, Ferrarini I, Landucci E, Fancelli S, Bertolini I, Michelotti A, Falcone A, Danesi R. Abstract P1-08-31: Putative role of genetic variants of eNOS in survival and toxicity of patients given antiangiogenic therapy. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p1-08-31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The development of tumor angiogensis is mainly driven by vascular endothelial growth factor (VEGF), which is strongly overexpressed in many cancers. VEGF induces the expression of the endothelial nitric oxide (NO) synthase (eNOS) and the resultant overproduction of NO may be associated with recruitment of inflammatory cells, disruption of endothelial barrier, edema and impaired drug delivery within tumors (1). Functional polymorphisms in the eNOS gene, including -786C>T and 894G>T, have been associated with impaired production of NO and higher incidence of hypertension (HT) (2), diabetic nephropathy (3) and glaucoma (4). Since suppression of VEGF-eNOS signal transduction by antiangiogenic drugs may normalize tumor vasculature by restoring interstitial fluid pressure and drug distribution in tumors, but may induce HT in patients, the purpose of this study was to examine the association between the major eNOS variants -786C>T and 894G>T with treatment outcome and risk of HT in metastatic breast cancer (MBC) patients given bevacizumab. Methods: Sixty-five MBC patients given bevacizumab as per approved indication were enrolled. Main characteristics were: mean age 49.5 years (range 29-73) at first diagnosis, 53 years (range 34-74) at metastatic progression and PS 0-1. Four subjects with HT and 1 patient with compensated cardiovascular disease were also included. First-line chemotherapy for metastatic disease was taxol plus bevacizumab. Germline DNA was extracted from peripheral blood with the Qiamp Mini Kit (Qiagen, Milano, Italy) and examined for eNOS -786C>T and 894G>T variants by Real Time PCR (Life Sciences 7900HT platform) and automatic sequencing (Life Sciences 3100 Avant). The study was approved by the local Ethics Committee. Results: Genotype frequencies are reported below (Table 1). The presence of -786TT genotype was associated with longer PFS compared with the other genotypes (median PFS 95%CI, CC/CT = 9 vs TT = 12 months, Log-rank [Mantel Cox] test p = 0.0066), but not with any grade of HT. Also the 894GT/TT was associated with longer PFS compaed with the GG homozygous wild-type genotype (median PFS 95%CI, GG = 7,5 vs GT/TT = 10 months, Log-rank [Mantel-Cox] test p = 0,0497). The incidence and severity of HT did not vary among genotypes. Conclusion: Patients bearing deficient eNOS variant did not experience higher risk or severity of HT with respect to the wild-type allele but enjoied a longer PFS.
Table 1. Genotype frequenciesSNPFrequencies%Frequencies%Frequencies%-786C>TCCCTTT 37%33.8%26.2%894G>TGGGTTT 41.5%53.8%4.6%
References
1. Goel S et al. Physiol Rev 2011;91:1071
2. Niu W, Qi Y. PLoS One 2011;6:e24266
3. Rahimi Z et al. Dis Markers 2013;34:437
4. Awadalla MS et al. Invest Ophtalmol Vis Sci 2013;54:2108.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-08-31.
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Affiliation(s)
- M Del Re
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - A Fontana
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - I Del Re
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - E Bona
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - B Salvadori
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - I Ferrarini
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - E Landucci
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - S Fancelli
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - I Bertolini
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - A Michelotti
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - A Falcone
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - R Danesi
- University of Pisa, Pisa, Italy; Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
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Carelli M, Gnocchi S, Fancelli S, Mengoni A, Paffetti D, Scotti C, Bazzicalupo M. Genetic diversity and dynamics of Sinorhizobium meliloti populations nodulating different alfalfa cultivars in Italian soils. Appl Environ Microbiol 2000; 66:4785-9. [PMID: 11055924 PMCID: PMC92380 DOI: 10.1128/aem.66.11.4785-4789.2000] [Citation(s) in RCA: 96] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We analyzed the genetic diversity of 531 Sinorhizobium meliloti strains isolated from nodules of Medicago sativa cultivars in two different Italian soils during 4 years of plant growth. The isolates were analyzed for DNA polymorphism with the random amplified polymorphic DNA method. The populations showed a high level of genetic polymorphism distributed throughout all the isolates, with 440 different haplotypes. Analysis of molecular variance allowed us to relate the genetic structure of the symbiotic population to various factors, including soil type, alfalfa cultivar, individual plants within a cultivar, and time. Some of these factors significantly affected the genetic structure of the population, and their relative influence changed with time. At the beginning of the experiment, the soil of origin and, even more, the cultivar significantly influenced the distribution of genetic variability of S. meliloti. After 3 years, the rhizobium population was altered; it showed a genetic structure based mainly on differences among plants, while the effects of soil and cultivar were not significant.
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Affiliation(s)
- M Carelli
- Istituto Sperimentale Colture Foraggere, 200075 Lodi, Italy
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Biondi EG, Fancelli S, Bazzicalupo M. ISRm10: a new insertion sequence of Sinorhizobium meliloti: nucleotide sequence and geographic distribution. FEMS Microbiol Lett 1999; 181:171-6. [PMID: 10564804 DOI: 10.1111/j.1574-6968.1999.tb08841.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
In this study the description of a new insertion sequence of Sinorhizobium meliloti, ISRm10, is reported. ISRm10 was found in the intergenic region between nodJ and nodQ of a natural isolated strain. ISRm10 was 1047 bp long and showed the typical features of the ISs belonging to the IS630-Tc1/IS3 superfamily. In particular the ISRm10 nucleotide sequence showed the highest homology (62%) with a Sphingomonas aromaticivorans IS. ISRm10 was present in 32% of the analyzed S. meliloti strains while it was not found in the reference strains of other Rhizobium species.
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Affiliation(s)
- E G Biondi
- Dipartimento di Biologia Animale e Genetica, Università di Firenze, Via Romana 19, I-50125, Florence, Italy
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Fani R, Gallo R, Fancelli S, Mori E, Tamburini E, Lazcano A. Heterologous gene expression in an Escherichia coli population under starvation stress conditions. J Mol Evol 1998; 47:363-8. [PMID: 9732463 DOI: 10.1007/pl00013149] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A novel system to study the evolution of transcription signals in heterologous systems under selective starvation conditions is described. It is based on the plasmid-mediated transfer of his biosynthetic genes from Azospirillum brasilense into a heterologous Escherichia coli mutant population lacking histidine biosynthetic ability. We show that under highly selective stressful conditions, genetic changes in the donor plasmid lead to mutated sequences that are efficiently recognized as promoters by the E. coli RNA polymerase.
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Paffetti D, Daguin F, Fancelli S, Gnocchi S, Lippi F, Scotti C, Bazzicalupo M. Influence of plant genotype on the selection of nodulating Sinorhizobium meliloti strains by Medicago sativa. Antonie Van Leeuwenhoek 1998; 73:3-8. [PMID: 9602273 DOI: 10.1023/a:1000591719287] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We analysed the genetic diversity of 270 Sinorhizobium meliloti strains isolated from nodules of three different Medicago sativa varieties, planted in three different Italian soils, combining the Analysis of Molecular Variance (AMOVA) with the Random Amplified Polymorphic DNA (RAPD) technique to estimate variance among RAPD patterns with the aim to draw an objective description of the population genetic structure. Results indicated that a general intraspecific genetic diversity was globally distributed among all the population, however a very high level of diversity was found among strains nodulating different Medicago sativa varieties. Moreover the distribution of the RAPD haplotypes among the plant varieties also showed to be non-random. The overall data indicated that the plant genotype is a major factor in shaping the genetic structure of this natural Rhizobium population.
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Affiliation(s)
- D Paffetti
- Dipartimento di Ortoflorofrutticoltura, Università degli Studi di Firenze, Florence, Italy
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Paffetti D, Scotti C, Gnocchi S, Fancelli S, Bazzicalupo M. Genetic diversity of an Italian Rhizobium meliloti population from different Medicago sativa varieties. Appl Environ Microbiol 1996; 62:2279-85. [PMID: 8779566 PMCID: PMC168009 DOI: 10.1128/aem.62.7.2279-2285.1996] [Citation(s) in RCA: 84] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
We investigated the genetic diversity of 96 Rhizobium meliloti strains isolated from nodules of four Medicago sativa varieties from distinct geographic areas and planted in two different northern Italian soils. The 96 isolates, which were phenotypically indistinguishable, were analyzed for DNA polymorphism with the following three methods: (i) a randomly amplified polymorphic DNA (RAPD) method, (ii) a restriction fragment length polymorphism (RFLP) analysis of the 16S-23S ribosomal operon spacer region, and (iii) an RFLP analysis of a 25-kb region of the pSym plasmid containing nod genes. Although the bacteria which were studied constituted a unique genetic population, a considerable level of genetic diversity was found. The new analysis of molecular variance (AMOVA) method was used to estimate the variance among the RAPD patterns. The results indicated that there was significant genetic diversity among strains nodulating different varieties. The AMOVA method was confirmed to be a useful tool for investigating the genetic variation in an intraspecific population. Moreover, the data obtained with the two RFLP methods were consistent with the RAPD results. The genetic diversity of the population was found to reside on the whole bacterial genome, as suggested by the RAPD analysis results, and seemed to be distributed on both the chromosome and plasmid pSym.
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Affiliation(s)
- D Paffetti
- Dipartimento di Biologia Animale e Genetica, Universitá degli Studi di Firenze, Florence, Italy.
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Tabacchioni S, Visca P, Chiarini L, Bevivino A, Di Serio C, Fancelli S, Fani R. Molecular characterization of rhizosphere and clinical isolates of Burkholderia cepacia. Res Microbiol 1995; 146:531-42. [PMID: 8577994 DOI: 10.1016/0923-2508(96)80559-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Four Burkholderia cepacia strains isolated from the rhizosphere and pathological samples of infected human patients were characterized at the molecular level by different methodologies, including the determination of 16S ribosomal rDNA sequence, restriction endonuclease analysis of total DNA, random amplified polymorphic DNA fingerprinting and Southern hybridization with gene probes for nitrogen fixation and siderophore synthesis. The results indicate that the four strains cluster together within genus Burkholderia, but differ from one another. The DNA from the four strains hybridized to the nifA gene probe from Klebsiella pneumoniae, and an appreciable homology with the nifHDK structural genes of Azospirillum brasilense was demonstrated for one rhizosphere strain. Although the four isolates produced an ornibactin-like siderophore, they did not give hybridization with the pvdA probe for hydroxamate biosynthesis from Pseudomonas aeruginosa.
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Affiliation(s)
- S Tabacchioni
- ENEA (Italian National Agency for New Technologies, Energy and Environment) C.R.E. Casaccia, Technological Innovation Dept., Rome, Italy
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Fani R, Bandi C, Bazzicalupo M, Ceccherini MT, Fancelli S, Gallori E, Gerace L, Grifoni A, Miclaus N, Damiani G. Phylogeny of the genus Azospirillum based on 16S rDNA sequence. FEMS Microbiol Lett 1995; 129:195-200. [PMID: 7607400 DOI: 10.1111/j.1574-6968.1995.tb07579.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
The 16S rDNA of 17 strains of Azospirillum, 14 assigned to one of the known species A. amazonense, A. brasilense, A. halopraeferens, A. irakense and A. lipoferum, and the other three of uncertain taxonomic position, was sequenced after polymerase chain reaction amplification and analysed in order to investigate the phylogenetic relationships at the intra-generic and super-generic level. The phylogenetic analysis confirms that the genus Azospirillum constitutes a phylogenetically separate entity within the alpha subclass of Proteobacteria and that the five species are well defined. A. brasilense and A. lipoferum are closely related species and form one cluster together with A. halopraeferens; the pair of species A. amazonense and A. irakense forms a second cluster in which Rhodospirillum centenum is also placed.
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Affiliation(s)
- R Fani
- Dipartimento di Biologia Animale e Genetica Leo Pardi, Università di Firenze, Italy
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Grifoni A, Bazzicalupo M, Di Serio C, Fancelli S, Fani R. Identification of Azospirillum strains by restriction fragment length polymorphism of the 16S rDNA and of the histidine operon. FEMS Microbiol Lett 1995; 127:85-91. [PMID: 7737487 DOI: 10.1111/j.1574-6968.1995.tb07454.x] [Citation(s) in RCA: 86] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
DNA fingerprints of several Azospirillum strains, belonging to the five known species A. amazonense, A. brasilense, A. halopraeferens, A. irakense and A. lipoferum, were obtained by restriction analysis of the amplified 16S rDNA and by restriction fragment length polymorphism of the histidine biosynthetic genes. Data obtained showed that amplified rDNA restriction analysis is an easy, fast, reproducible and reliable tool for identification of Azospirillum strains, mainly at the species level, whereas restriction fragment length polymorphism could, in some cases, differentiate strains belonging to the same species. Moreover, both analyses gave congruent results in grouping strains and in the assignment of new strains to a given species.
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Affiliation(s)
- A Grifoni
- Dipartimento di Biologia Animale e Genetica Leo Pardi, Università degli Studi di Firenze, Italy
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Fancelli S, Fani R, Grifoni A, Mugnai M, Pastorelli R, Bazzicalupo M. Control of nifH transcription in Azospirillum brasilense: involvement of NifA and of cis-acting sequences. FEMS Microbiol Lett 1994; 115:57-62. [PMID: 8125248 DOI: 10.1111/j.1574-6968.1994.tb06614.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
The regulatory sequences of Azospirillum brasilense Sp7 nifH gene were fused with the cam reporter gene and used for studying the factors controlling nifH transcription. A DNA sequence, downstream the ATG codon of nifH, that could be involved in the negative regulation of nifH transcription, was identified. The effect of 1 and 2 mM of ammonium on the transcription of the A. brasilense nifH gene and on the nitrogenase activity, in the presence of the Klebsiella pneumoniae NifA protein, was examined.
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Affiliation(s)
- S Fancelli
- Dipartimento di Biologia Animale e Genetica, Università di Firenze, Florence, Italy
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