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Hitti-Malin RJ, Panneman DM, Corradi Z, Boonen EGM, Astuti G, Dhaenens CM, Stöhr H, Weber BHF, Sharon D, Banin E, Karali M, Banfi S, Ben-Yosef T, Glavač D, Farrar GJ, Ayuso C, Liskova P, Dudakova L, Vajter M, Ołdak M, Szaflik JP, Matynia A, Gorin MB, Kämpjärvi K, Bauwens M, De Baere E, Hoyng CB, Li CHZ, Klaver CCW, Inglehearn CF, Fujinami K, Rivolta C, Allikmets R, Zernant J, Lee W, Podhajcer OL, Fakin A, Sajovic J, AlTalbishi A, Valeina S, Taurina G, Vincent AL, Roberts L, Ramesar R, Sartor G, Luppi E, Downes SM, van den Born LI, McLaren TL, De Roach JN, Lamey TM, Thompson JA, Chen FK, Tracewska AM, Kamakari S, Sallum JMF, Bolz HJ, Kayserili H, Roosing S, Cremers FPM. Towards Uncovering the Role of Incomplete Penetrance in Maculopathies through Sequencing of 105 Disease-Associated Genes. Biomolecules 2024; 14:367. [PMID: 38540785 PMCID: PMC10967834 DOI: 10.3390/biom14030367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 05/02/2024] Open
Abstract
Inherited macular dystrophies (iMDs) are a group of genetic disorders, which affect the central region of the retina. To investigate the genetic basis of iMDs, we used single-molecule Molecular Inversion Probes to sequence 105 maculopathy-associated genes in 1352 patients diagnosed with iMDs. Within this cohort, 39.8% of patients were considered genetically explained by 460 different variants in 49 distinct genes of which 73 were novel variants, with some affecting splicing. The top five most frequent causative genes were ABCA4 (37.2%), PRPH2 (6.7%), CDHR1 (6.1%), PROM1 (4.3%) and RP1L1 (3.1%). Interestingly, variants with incomplete penetrance were revealed in almost one-third of patients considered solved (28.1%), and therefore, a proportion of patients may not be explained solely by the variants reported. This includes eight previously reported variants with incomplete penetrance in addition to CDHR1:c.783G>A and CNGB3:c.1208G>A. Notably, segregation analysis was not routinely performed for variant phasing-a limitation, which may also impact the overall diagnostic yield. The relatively high proportion of probands without any putative causal variant (60.2%) highlights the need to explore variants with incomplete penetrance, the potential modifiers of disease and the genetic overlap between iMDs and age-related macular degeneration. Our results provide valuable insights into the genetic landscape of iMDs and warrant future exploration to determine the involvement of other maculopathy genes.
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Affiliation(s)
- Rebekkah J. Hitti-Malin
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Daan M. Panneman
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Zelia Corradi
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Erica G. M. Boonen
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Galuh Astuti
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Claire-Marie Dhaenens
- Univ. Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Heidi Stöhr
- Institute of Human Genetics, University of Regensburg, 93053 Regensburg, Germany
| | - Bernhard H. F. Weber
- Institute of Human Genetics, University of Regensburg, 93053 Regensburg, Germany
- Institute of Clinical Human Genetics, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Dror Sharon
- Department of Ophthalmology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Eyal Banin
- Department of Ophthalmology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Marianthi Karali
- Department of Precision Medicine, University of Campania ‘Luigi Vanvitelli’, 80138 Naples, Italy
- Eye Clinic, Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania ‘Luigi Vanvitelli’, 80131 Naples, Italy
| | - Sandro Banfi
- Department of Precision Medicine, University of Campania ‘Luigi Vanvitelli’, 80138 Naples, Italy
- Eye Clinic, Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania ‘Luigi Vanvitelli’, 80131 Naples, Italy
- Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy
| | - Tamar Ben-Yosef
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 31096, Israel
| | - Damjan Glavač
- Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
- Center for Human Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, 2000 Maribor, Slovenia
| | - G. Jane Farrar
- The School of Genetics and Microbiology, The University of Dublin Trinity College, D02 VF25 Dublin, Ireland
| | - Carmen Ayuso
- Department of Genetics, Health Research Institute-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), 28049 Madrid, Spain
- Center for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Petra Liskova
- Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
| | - Lubica Dudakova
- Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
| | - Marie Vajter
- Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 08 Prague, Czech Republic
| | - Monika Ołdak
- Department of Histology and Embryology, Medical University of Warsaw, 02-004 Warsaw, Poland
| | - Jacek P. Szaflik
- Department of Ophthalmology, Medical University of Warsaw, SPKSO Ophthalmic University Hospital, 03-709 Warsaw, Poland
| | - Anna Matynia
- College of Optometry, University of Houston, Houston, TX 77004, USA
- Jules Stein Eye Institute, Los Angeles, CA 90095, USA
- Ophthalmology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA 90095, USA
| | | | | | - Miriam Bauwens
- Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium
| | - Elfride De Baere
- Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium
| | - Carel B. Hoyng
- Department of Ophthalmology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Catherina H. Z. Li
- Department of Ophthalmology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Chris F. Inglehearn
- Division of Molecular Medicine, Leeds Institute of Medical Research, St. James’s University Hospital, University of Leeds, Leeds LS9 7TF, UK
| | - Kaoru Fujinami
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo 105-8461, Japan
| | - Carlo Rivolta
- Institute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland
| | - Rando Allikmets
- Department of Ophthalmology, Columbia University, New York, NY 10027, USA
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10027, USA
| | - Jana Zernant
- Department of Ophthalmology, Columbia University, New York, NY 10027, USA
| | - Winston Lee
- Department of Ophthalmology, Columbia University, New York, NY 10027, USA
| | - Osvaldo L. Podhajcer
- Laboratorio de Terapia Molecular y Celular (Genocan), Fundación Instituto Leloir, CONICET, Buenos Aires 1405, Argentina
| | - Ana Fakin
- Eye Hospital, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Jana Sajovic
- Eye Hospital, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Alaa AlTalbishi
- St John of Jerusalem Eye Hospital Group, East Jerusalem 91198, Palestine
| | - Sandra Valeina
- Department of Ophthalmology, Riga Stradins University, LV-1007 Riga, Latvia
- Children’s Clinical University Hospital, LV-1004 Riga, Latvia
| | - Gita Taurina
- Children’s Clinical University Hospital, LV-1004 Riga, Latvia
| | - Andrea L. Vincent
- Department of Ophthalmology, New Zealand National Eye Centre, Faculty of Medical and Health Sciences, The University of Auckland, Grafton, Auckland 1023, New Zealand
- Eye Department, Greenlane Clinical Centre, Auckland District Health Board, Auckland 1142, New Zealand
| | - Lisa Roberts
- University of Cape Town/MRC Precision and Genomic Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Raj Ramesar
- University of Cape Town/MRC Precision and Genomic Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Giovanna Sartor
- Department of Pharmacy and Biotechnology, University of Bologna, 40127 Bologna, Italy
| | - Elena Luppi
- Department of Medical and Surgical Sciences, University of Bologna, 40127 Bologna, Italy
- Unit of Medical Genetics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Susan M. Downes
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, Oxford University, Oxford OX3 9DU, UK
- Oxford Eye Hospital, Oxford University NHS Foundation Trust, Oxford OX3 9DU, UK
| | | | - Terri L. McLaren
- Australian Inherited Retinal Disease Registry and DNA Bank, Department of Medical Technology and Physics, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, WA 6009, Australia
| | - John N. De Roach
- Australian Inherited Retinal Disease Registry and DNA Bank, Department of Medical Technology and Physics, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Tina M. Lamey
- Australian Inherited Retinal Disease Registry and DNA Bank, Department of Medical Technology and Physics, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Jennifer A. Thompson
- Australian Inherited Retinal Disease Registry and DNA Bank, Department of Medical Technology and Physics, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Fred K. Chen
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, WA 6009, Australia
| | | | - Smaragda Kamakari
- Ophthalmic Genetics Unit, OMMA Ophthalmological Institute of Athens, 115 25 Athens, Greece
| | - Juliana Maria Ferraz Sallum
- Department of Ophthalmology and Visual Sciences, Universidade Federal de São Paulo, São Paulo 04023-062, SP, Brazil
- Instituto de Genética Ocular, São Paulo 04552-050, SP, Brazil
| | - Hanno J. Bolz
- Institute of Human Genetics, University Hospital of Cologne, 50937 Cologne, Germany
| | - Hülya Kayserili
- Department of Medical Genetics, Koc University School of Medicine (KUSOM), 34450 Istanbul, Turkey
| | - Susanne Roosing
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Frans P. M. Cremers
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
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Bogaert E, Garde A, Gautier T, Rooney K, Duffourd Y, LeBlanc P, van Reempts E, Tran Mau-Them F, Wentzensen IM, Au KS, Richardson K, Northrup H, Gatinois V, Geneviève D, Louie RJ, Lyons MJ, Laulund LW, Brasch-Andersen C, Maxel Juul T, El It F, Marle N, Callier P, Relator R, Haghshenas S, McConkey H, Kerkhof J, Cesario C, Novelli A, Brunetti-Pierri N, Pinelli M, Pennamen P, Naudion S, Legendre M, Courdier C, Trimouille A, Fenzy MD, Pais L, Yeung A, Nugent K, Roeder ER, Mitani T, Posey JE, Calame D, Yonath H, Rosenfeld JA, Musante L, Faletra F, Montanari F, Sartor G, Vancini A, Seri M, Besmond C, Poirier K, Hubert L, Hemelsoet D, Munnich A, Lupski JR, Philippe C, Thauvin-Robinet C, Faivre L, Sadikovic B, Govin J, Dermaut B, Vitobello A. SRSF1 haploinsufficiency is responsible for a syndromic developmental disorder associated with intellectual disability. Am J Hum Genet 2023; 110:790-808. [PMID: 37071997 PMCID: PMC10183470 DOI: 10.1016/j.ajhg.2023.03.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/23/2023] [Indexed: 04/20/2023] Open
Abstract
SRSF1 (also known as ASF/SF2) is a non-small nuclear ribonucleoprotein (non-snRNP) that belongs to the arginine/serine (R/S) domain family. It recognizes and binds to mRNA, regulating both constitutive and alternative splicing. The complete loss of this proto-oncogene in mice is embryonically lethal. Through international data sharing, we identified 17 individuals (10 females and 7 males) with a neurodevelopmental disorder (NDD) with heterozygous germline SRSF1 variants, mostly de novo, including three frameshift variants, three nonsense variants, seven missense variants, and two microdeletions within region 17q22 encompassing SRSF1. Only in one family, the de novo origin could not be established. All individuals featured a recurrent phenotype including developmental delay and intellectual disability (DD/ID), hypotonia, neurobehavioral problems, with variable skeletal (66.7%) and cardiac (46%) anomalies. To investigate the functional consequences of SRSF1 variants, we performed in silico structural modeling, developed an in vivo splicing assay in Drosophila, and carried out episignature analysis in blood-derived DNA from affected individuals. We found that all loss-of-function and 5 out of 7 missense variants were pathogenic, leading to a loss of SRSF1 splicing activity in Drosophila, correlating with a detectable and specific DNA methylation episignature. In addition, our orthogonal in silico, in vivo, and epigenetics analyses enabled the separation of clearly pathogenic missense variants from those with uncertain significance. Overall, these results indicated that haploinsufficiency of SRSF1 is responsible for a syndromic NDD with ID due to a partial loss of SRSF1-mediated splicing activity.
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Affiliation(s)
- Elke Bogaert
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Aurore Garde
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Centre de Référence Maladies Rares "Anomalies du Développement et Syndromes Malformatifs", Centre de Génétique, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Thierry Gautier
- University Grenoble Alpes, Inserm U1209, CNRS UMR 5309, Institute for Advanced Biosciences (IAB), 38000 Grenoble, France
| | - Kathleen Rooney
- Department of Pathology and Laboratory Medicine, Western University, London, ON N5A 3K7, Canada; Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Yannis Duffourd
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Pontus LeBlanc
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Emma van Reempts
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Frederic Tran Mau-Them
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France
| | | | - Kit Sing Au
- Division of Medical Genetics, Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA; Children's Memorial Hermann Hospital, Houston, TX, USA
| | - Kate Richardson
- Division of Medical Genetics, Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA; Children's Memorial Hermann Hospital, Houston, TX, USA
| | - Hope Northrup
- Division of Medical Genetics, Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA; Children's Memorial Hermann Hospital, Houston, TX, USA
| | - Vincent Gatinois
- Unité de Génétique Chromosomique, CHU Montpellier, Montpellier, France
| | - David Geneviève
- Montpellier University, Inserm U1183, Montpellier, France; Reference center for rare disease developmental anomaly malformative syndrome, Department of Medical Genetics, Montpellier Hospital, Montpellier, France
| | | | | | | | - Charlotte Brasch-Andersen
- Department of Clinical Genetics, Odense University Hospital, 5000 Odense, Denmark; Human Genetics, Department of Clinical Research, Health Faculty, University of Southern Denmark, 5000 Odense, Denmark
| | - Trine Maxel Juul
- Department of Clinical Genetics, Odense University Hospital, 5000 Odense, Denmark
| | - Fatima El It
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France
| | - Nathalie Marle
- Laboratoire de Génétique Chromosomique et Moléculaire, Pôle de Biologie, CHU de Dijon, Dijon, France
| | - Patrick Callier
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Laboratoire de Génétique Chromosomique et Moléculaire, Pôle de Biologie, CHU de Dijon, Dijon, France
| | - Raissa Relator
- Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Sadegheh Haghshenas
- Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Haley McConkey
- Department of Pathology and Laboratory Medicine, Western University, London, ON N5A 3K7, Canada; Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Jennifer Kerkhof
- Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Claudia Cesario
- Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonio Novelli
- Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Nicola Brunetti-Pierri
- Telethon Institute of Genetics and Medicine, Pozzuoli, Italy; Department of Translational Medicine, University of Naples Federico II, Naples, Italy
| | - Michele Pinelli
- Telethon Institute of Genetics and Medicine, Pozzuoli, Italy; Department of Translational Medicine, University of Naples Federico II, Naples, Italy
| | | | - Sophie Naudion
- Medical Genetics Department, CHU Bordeaux, Bordeaux, France
| | | | | | - Aurelien Trimouille
- INSERM U1211, Laboratoire MRGM, Bordeaux University, Bordeaux, France; Pathology Department, CHU Bordeaux, Bordeaux, France
| | - Martine Doco Fenzy
- Service de génétique, CHU de Reims, Reims, France; Service de génétique médicale, CHU de Nantes, Nantes, France; L'institut du thorax, INSERM, CNRS, UNIV Nantes, CHU de Nantes, Nantes, France
| | - Lynn Pais
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alison Yeung
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Kimberly Nugent
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Elizabeth R Roeder
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Tadahiro Mitani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Daniel Calame
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Hagith Yonath
- Internal Medicine A, Danek Gertner Institute of Human Genetics, Sheba Medical Center, Ramat Gan, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics Laboratories, Houston, TX, USA
| | - Luciana Musante
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Flavio Faletra
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Francesca Montanari
- UO Genetica Medica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giovanna Sartor
- UO Genetica Medica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Marco Seri
- UO Genetica Medica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Claude Besmond
- Université Paris Cité, Imagine Institute, INSERM UMR1163, Paris 75015, France
| | - Karine Poirier
- Université Paris Cité, Imagine Institute, INSERM UMR1163, Paris 75015, France
| | - Laurence Hubert
- Université Paris Cité, Imagine Institute, INSERM UMR1163, Paris 75015, France
| | - Dimitri Hemelsoet
- Department of Neurology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Arnold Munnich
- Université Paris Cité, Imagine Institute, INSERM UMR1163, Paris 75015, France
| | - James R Lupski
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Christophe Philippe
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Christel Thauvin-Robinet
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France; Centre de Référence Maladies Rares « Déficiences intellectuelles de causes rares », Centre de Génétique, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Laurence Faivre
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Centre de Référence Maladies Rares "Anomalies du Développement et Syndromes Malformatifs", Centre de Génétique, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Bekim Sadikovic
- Department of Pathology and Laboratory Medicine, Western University, London, ON N5A 3K7, Canada; Verspeeten Clinical Genome Centre, London Health Science Centre, London, ON N6A 5W9, Canada
| | - Jérôme Govin
- University Grenoble Alpes, Inserm U1209, CNRS UMR 5309, Institute for Advanced Biosciences (IAB), 38000 Grenoble, France
| | - Bart Dermaut
- Center for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Antonio Vitobello
- UMR1231 GAD, Inserm - Université de Bourgogne, Dijon, France; Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, 21000 Dijon, France.
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Avanzo M, Gagliardi V, Blanck O, Pirrone G, Stancanello J, Revelant A, Sartor G. Combining computed tomography and biologically effective dose radiomics improves prediction of tumor response to robotic lung SBRT. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00012-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Longo R, Padovani R, Bertocchi L, De Denaro M, Milotti E, Rigon L, Valenti M, Sartor G, de Crescenzo S, Strigari L, Mascaro L, Turra A, Mazzocchi S, Torresin A, Pignoli E, Guidi G, De Ponti E, Brambilla M, Paiusco M, Diliberto R, Traino A, Soriani A, Buonamici FB, Stasi M, Trianni A, Scalchi P, Cavedon C, Francescon P, Ropolo R, Hrsak H. Training for the future: 8 years of Master of Advanced Studies in medical physics in Trieste. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00570-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Avanzo M, Matrone F, Pirrone G, Stancanello J, Drigo A, Chiovati P, Gagliardi V, Fanetti G, Revelant A, De Paoli A, Bortolus R, Sartor G. Can radiomics predict clinical relapse after partial prostate re-irradiation (PPR) for isolated locally recurrent prostate cancer? Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00122-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Avanzo M, Gagliardi V, Stancanello J, Blanck O, Pirrone G, El Naqa I, Revelant A, Sartor G. Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy. Med Phys 2021; 48:6257-6269. [PMID: 34415574 DOI: 10.1002/mp.15178] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 07/20/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023] Open
Abstract
PURPOSE The aim of this study is to improve the performance of machine learning (ML) models in predicting response of non-small cell lung cancer (NSCLC) to stereotactic body radiation therapy (SBRT) by integrating image features from pre-treatment computed tomography (CT) with features from the biologically effective dose (BED) distribution. MATERIALS AND METHODS Image features, consisting of crafted radiomic features or machine-learned features extracted using a convolutional neural network, were calculated from pre-treatment CT data and from dose distributions converted into BED for 80 NSCLC lesions over 76 patients treated with robotic guided SBRT. ML models using different combinations of features were trained to predict complete or partial response according to response criteria in solid tumors, including radiomics CT (RadCT ), radiomics CT and BED (RadCT,BED ), deep learning (DL) CT (DLCT ), and DL CT and BED (DLCT,BED ). Training of ML included feature selection by neighborhood component analysis followed by ensemble ML using robust boosting. A model was considered as acceptable when the sum of average sensitivity and specificity on test data in repeated cross validations was at least 1.5. RESULTS Complete or partial response occurred in 58 out of 80 lesions. The best models to predict the tumor response were those using BED variables, achieving significantly better area under curve (AUC) and accuracy than those using only features from CT, including a RadCT,BED model using three radiomic features from BED, which scored an accuracy of 0.799 (95% confidence intervals (0.75-0.85)) and AUC of 0.773 (0.688-0.846), and a DLCT,BED model also using three variables with an accuracy of 0.798 (0.649-0.829) and AUC of 0.812 (0.755-0.867). CONCLUSION According to our results, the inclusion of BED features improves the response prediction of ML models for lung cancer patients undergoing SBRT, regardless of the use of radiomic or DL features.
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Affiliation(s)
- Michele Avanzo
- Medical Physics Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | - Vito Gagliardi
- Medical Physics Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | | | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Giovanni Pirrone
- Medical Physics Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | - Issam El Naqa
- Department of Machine Learning, Moffitt University, Tampa, Florida, USA
| | - Alberto Revelant
- Radiation Oncology Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | - Giovanna Sartor
- Medical Physics Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
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Aoun M, Passerini I, Chiurazzi P, Karali M, De Rienzo I, Sartor G, Murro V, Filimonova N, Seri M, Banfi S. Inherited Retinal Diseases Due to RPE65 Variants: From Genetic Diagnostic Management to Therapy. Int J Mol Sci 2021; 22:7207. [PMID: 34281261 PMCID: PMC8268668 DOI: 10.3390/ijms22137207] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/25/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022] Open
Abstract
Inherited retinal diseases (IRDs) are a heterogeneous group of conditions that include retinitis pigmentosa (RP) and Leber congenital amaurosis (LCA) and early-onset severe retinal dystrophy (EO[S]RD), which differ in severity and age of onset. IRDs are caused by mutations in >250 genes. Variants in the RPE65 gene account for 0.6-6% of RP and 3-16% of LCA/EORD cases. Voretigene neparvovec is a gene therapy approved for the treatment of patients with an autosomal recessive retinal dystrophy due to confirmed biallelic RPE65 variants (RPE65-IRDs). Therefore, the accurate molecular diagnosis of RPE65-IRDs is crucial to identify 'actionable' genotypes-i.e., genotypes that may benefit from the treatment-and is an integral part of patient management. To date, hundreds of RPE65 variants have been identified, some of which are classified as pathogenic or likely pathogenic, while the significance of others is yet to be established. In this review, we provide an overview of the genetic diagnostic workup needed to select patients that could be eligible for voretigene neparvovec treatment. Careful clinical characterization of patients by multidisciplinary teams of experts, combined with the availability of next-generation sequencing approaches, can accelerate patients' access to available therapeutic options.
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Affiliation(s)
- Manar Aoun
- Novartis Farma, Largo Boccioni 1, 21040 Origgio, Italy;
| | - Ilaria Passerini
- Department of Genetic Diagnosis, Careggi Teaching Hospital, 50134 Florence, Italy;
| | - Pietro Chiurazzi
- Istituto di Medicina Genomica, Università Cattolica del Sacro Cuore, 00168 Rome, Italy;
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, UOC Genetica Medica, 00168 Roma, Italy
| | - Marianthi Karali
- Eye Clinic, Multidisciplinary Department of Medical, Surgical and Dental Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80131 Naples, Italy;
- Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy
| | - Irene De Rienzo
- Department of Ophthalmology, AOU-Careggi, 50234 Florence, Italy;
| | - Giovanna Sartor
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy;
| | - Vittoria Murro
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Eye Clinic Careggi Teaching Hospital, 50234 Florence, Italy;
| | | | - Marco Seri
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy;
- Department of Surgical and Medical Sciences, University of Bologna, 40138 Bologna, Italy
| | - Sandro Banfi
- Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy
- Medical Genetics, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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Avanzo M, Pirrone G, Vinante L, Caroli A, Massarut S, Mileto M, Stancanello J, Urbani M, Drigo A, Trovo M, El Naqa I, De Paoli A, Sartor G. PO-1547: Prediction of late subcutaneous fibrosis after partial breast irradiation by radiomics and dosiomics. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01565-6] [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: 10/22/2022]
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9
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Abstract
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomography (PET) have been developed to detect nodules, distinguish malignant from benign lesions, characterize their histology, stage, and genotype. Deep learning models have been applied to automatically segment organs at risk in lung cancer radiotherapy, stratify patients according to the risk for local and distant recurrence, and identify patients candidate for molecular targeted therapy and immunotherapy. Moreover, radiomics has also been applied successfully to predict side effects such as radiation- and immunotherapy-induced pneumonitis and differentiate lung injury from recurrence. Radiomics could also untap the potential for further use of the cone beam CT acquired for treatment image guidance, four-dimensional CT, and dose-volume data from radiotherapy treatment plans. Radiomics is expected to increasingly affect the clinical practice of treatment of lung tumors, optimizing the end-to-end diagnosis-treatment-follow-up chain. The main goal of this article is to provide an update on the current status of lung cancer radiomics.
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Affiliation(s)
- Michele Avanzo
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Via F. Gallini 2, 33081, Aviano, PN, Italy.
| | | | - Giovanni Pirrone
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Via F. Gallini 2, 33081, Aviano, PN, Italy
| | - Giovanna Sartor
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Via F. Gallini 2, 33081, Aviano, PN, Italy
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10
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Avanzo M, Pirrone G, Vinante L, Caroli A, Stancanello J, Drigo A, Massarut S, Mileto M, Urbani M, Trovo M, El Naqa I, De Paoli A, Sartor G. Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis. Front Oncol 2020; 10:490. [PMID: 32373520 PMCID: PMC7186445 DOI: 10.3389/fonc.2020.00490] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 03/18/2020] [Indexed: 12/24/2022] Open
Abstract
Purpose: to predict the occurrence of late subcutaneous radiation induced fibrosis (RIF) after partial breast irradiation (PBI) for breast carcinoma by using machine learning (ML) models and radiomic features from 3D Biologically Effective Dose (3D-BED) and Relative Electron Density (3D-RED). Methods: 165 patients underwent external PBI following a hypo-fractionation protocol consisting of 40 Gy/10 fractions, 35 Gy/7 fractions, and 28 Gy/4 fractions, for 73, 60, and 32 patients, respectively. Physicians evaluated toxicity at regular intervals by the Common Terminology Adverse Events (CTAE) version 4.0. RIF was assessed every 3 months after the completion of radiation course and scored prospectively. RIF was experienced by 41 (24.8%) patients after average 5 years of follow up. The Hounsfield Units (HU) of the CT-images were converted into relative electron density (3D-RED) and Dose maps into Biologically Effective Dose (3D-BED), respectively. Shape, first-order and textural features of 3D-RED and 3D-BED were calculated in the planning target volume (PTV) and breast. Clinical and demographic variables were also considered (954 features in total). Imbalance of the dataset was addressed by data augmentation using ADASYN technique. A subset of non-redundant features that best predict the data was identified by sequential feature selection. Support Vector Machines (SVM), ensemble machine learning (EML) using various aggregation algorithms and Naive Bayes (NB) classifiers were trained on patient dataset to predict RIF occurrence. Models were assessed using sensitivity and specificity of the ML classifiers and the area under the receiver operator characteristic curve (AUC) of the score functions in repeated 5-fold cross validation on the augmented dataset. Results: The SVM model with seven features was preferred for RIF prediction and scored sensitivity 0.83 (95% CI 0.80-0.86), specificity 0.75 (95% CI 0.71-0.77) and AUC of the score function 0.86 (0.85-0.88) on cross-validation. The selected features included cluster shade and Run Length Non-uniformity of breast 3D-BED, kurtosis and cluster shade from PTV 3D-RED, and 10th percentile of PTV 3D-BED. Conclusion: Textures extracted from 3D-BED and 3D-RED in the breast and PTV can predict late RIF and may help better select patient candidates to exclusive PBI.
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Affiliation(s)
- Michele Avanzo
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Giovanni Pirrone
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Lorenzo Vinante
- Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Angela Caroli
- Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | | | - Annalisa Drigo
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Samuele Massarut
- Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Mario Mileto
- Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Martina Urbani
- Department of Radiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Marco Trovo
- Department of Radiation Oncology, Udine General Hospital, Udine, Italy
| | - Issam El Naqa
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Antonino De Paoli
- Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Giovanna Sartor
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
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Avanzo M, Dassie A, Chandra Acharya P, Chiovati P, Pirrone G, Avigo C, Barresi L, Dang Quoc S, Fiagbedzi E, Navarria F, Palazzari E, Bertola G, De Paoli A, Stancanello J, Sartor G. Electron radiotherapy (IOERT) for applications outside of the breast: Dosimetry and influence of tissue inhomogeneities. Phys Med 2020; 69:82-89. [DOI: 10.1016/j.ejmp.2019.12.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/17/2019] [Accepted: 12/04/2019] [Indexed: 12/12/2022] Open
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12
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Boccalini S, Bechini A, Sartor G, Paolini D, Innocenti M, Bonanni P, Panatto D, Lai PL, Zangrillo F, Marchini F, Lecini E, Iovine M, Amicizia D, Landa P. [Health Technology Assessment of meningococcal B vaccine (Trumenba ®) in adolescent in Italy]. J Prev Med Hyg 2019; 60:E1-E94. [PMID: 32047867 PMCID: PMC7007189 DOI: 10.15167/2421-4248/jpmh2019.60.3s2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- S Boccalini
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - A Bechini
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - G Sartor
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - D Paolini
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - M Innocenti
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - P Bonanni
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze
| | - D Panatto
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - P L Lai
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - F Zangrillo
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - F Marchini
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - E Lecini
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - M Iovine
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - D Amicizia
- Dipartimento di Scienze della Salute, Università degli Studi di Genova
| | - P Landa
- Dipartimento di Economia, Università degli Studi di Genova
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13
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Avanzo M, Vinante L, Pirrone G, Stancanello J, Revelant A, De Paoli A, Drigo A, Barresi L, Balestrieri L, La Grassa M, Urbani M, De Pascalis N, Massarut S, Mileto M, Franchin G, Sartor G. EP-1904 3T CE-MRI (peri)tumoral radiomics for prediction of lymphovascular invasion in early breast cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32324-2] [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: 12/01/2022]
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Avanzo M, Pirrone G, Avigo C, Fanetti G, Stancanello J, De Paoli A, Elisa P, Drigo A, Chiovati P, Dassie A, Borsatti E, Baresic T, Franchin G, Sartor G. EP-1905 CT /PET based dosiomics and radiomics model predicts local control of nasopharyngeal carcinoma. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32325-4] [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: 10/26/2022]
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15
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Coassin E, Drigo A, Barresi L, Fanetti G, Elia C, Sartor G, Franchin G, Mascarin M. EP-1614 Incidence of second malignancies among pediatric patients treated with helical Tomotherapy. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32034-1] [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: 11/25/2022]
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16
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Pirrone G, Palazzari E, Navarria F, Innocente R, Stancanello J, Fanetti G, Franchin G, Cappelletto C, De Paoli A, Sartor G, Avanzo M. EP-1906 CBCT delta-radiomics for predicting complete pathological response of rectal cancer after CT-RT. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32326-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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17
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Bechini A, Moscadelli A, Pieralli F, Sartor G, Seravalli V, Panatto D, Amicizia D, Bonanni P, Boccalini S. Impact assessment of an education course on vaccinations in a population of pregnant women: a pilot study. J Prev Med Hyg 2019; 60:E5-E11. [PMID: 31041404 PMCID: PMC6477562 DOI: 10.15167/2421-4248/jpmh2019.60.1.1093] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 02/20/2019] [Indexed: 11/24/2022]
Abstract
Introduction Although the benefits of vaccinations have been extensively demonstrated, vaccination coverage remains unsatisfactory as result of many people’s poor knowledge and negative perception of vaccination. We evaluated the impact of an education course on vaccinations in a population of pregnant women. Methods A total of 214 pregnant women were invited to participate in this project, which was undertaken at the Obstetrics and Gynaecology Department of Careggi University Hospital in Florence (Italy). Anonymous questionnaires were administered to women before and after the intervention. A descriptive and statistical analysis was carried out in order to compare the responses obtained before and after the intervention. Results Adherence to the initiative was good (98%): initially, the respondents were not hostile to vaccinations, though many (43%) were poorly or insufficiently informed. The educational intervention had a positive impact. After the intervention, the number of women who rated their level of knowledge of vaccinations as poor or insufficient had decreased by 30% and the number of “hesitant” respondents had decreased with respect to all aspects of the study, especially the decision to be vaccinated during pregnancy. Conclusions Hesitancy stems from a lack of accurate information. Healthcare professionals need to improve their communication skills. Appropriate education during pregnancy, when women are more receptive, may have a highly positive impact. These observations need to be considered in the planning of courses to prepare pregnant women for delivery also in other maternal-foetal centres in Italy.
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Affiliation(s)
- A Bechini
- Department of Health Sciences, University of Florence, Italy
| | - A Moscadelli
- Department of Health Sciences, University of Florence, Italy
| | - F Pieralli
- Department of Health Sciences, University of Florence, Italy
| | - G Sartor
- Department of Health Sciences, University of Florence, Italy
| | - V Seravalli
- Department of Health Sciences, University of Florence, Italy
| | - D Panatto
- Department of Health Sciences, University of Genoa, Italy
| | - D Amicizia
- Department of Health Sciences, University of Genoa, Italy
| | - P Bonanni
- Department of Health Sciences, University of Florence, Italy
| | - S Boccalini
- Department of Health Sciences, University of Florence, Italy
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Fanetti G, Gobitti C, Minatel E, Revelant A, Avanzo M, Pirrone G, Polesel J, Vaccher E, Schioppa O, Martellotta F, Giuseppe G, Lupato V, Baresic T, Bampo C, Vittorio G, Borsatti E, Sartor G, Franchin G. PO-063 Induction chemotherapy followed by radiotherapy for organ preservation in Oropharyngeal Cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30229-4] [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: 11/26/2022]
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Fanetti G, Avanzo M, Pirrone G, Avigo C, Stancanello J, De Paoli A, Palazzari E, Drigo A, Gobitti C, Vaccher E, Baresic T, Bampo C, Borsatti E, Sartor G, Franchin G. PO-122 CT /PET based dosiomics and radiomics model predicts local control of nasopharyngeal carcinoma. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30288-9] [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: 10/27/2022]
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20
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Avanzo M, Pirrone G, Mileto M, Massarut S, Stancanello J, Baradaran-Ghahfarokhi M, Rink A, Barresi L, Vinante L, Piccoli E, Trovo M, El Naqa I, Sartor G. Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry. Med Phys 2019; 46:1447-1454. [PMID: 30620412 DOI: 10.1002/mp.13379] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 11/26/2018] [Accepted: 01/01/2019] [Indexed: 01/10/2023] Open
Abstract
PURPOSE The purpose of this study was to implement a machine learning model to predict skin dose from targeted intraoperative (TARGIT) treatment resulting in timely adoption of strategies to limit excessive skin dose. METHODS A total of 283 patients affected by invasive breast carcinoma underwent TARGIT with a prescribed dose of 6 Gy at 1 cm, after lumpectomy. Radiochromic films were used to measure the dose to the skin for each patient. Univariate statistical analysis was performed to identify correlation of physical and patient variables with measured dose. After feature selection of predictors of in vivo skin dose, machine learning models stepwise linear regression (SLR), support vector regression (SVR), ensemble with bagging or boosting, and feed forward neural networks were trained on results of in vivo dosimetry to derive models to predict skin dose. Models were evaluated by tenfold cross validation and ranked according to root mean square error (RMSE) and adjusted correlation coefficient of true vs predicted values (adj-R2 ). RESULTS The predictors correlated with in vivo dosimetry were the distance of skin from source, depth-dose in water at depth of the applicator in the breast, use of a replacement source, and irradiation time. The best performing model was SVR, which scored RMSE and adj-R2 , equal to 0.746 [95% confidence intervals (CI), 95% CI 0.737,0.756] and 0.481 (95% CI 0.468,0.494), respectively, on the tenfold cross validation. CONCLUSION The model trained on results of in vivo dosimetry can be used to predict skin dose during setup of patient for TARGIT and this allows for timely adoption of strategies to prevent of excessive skin dose.
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Affiliation(s)
- Michele Avanzo
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Giovanni Pirrone
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Mario Mileto
- Department of Breast Surgery, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Samuele Massarut
- Department of Breast Surgery, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Joseph Stancanello
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Milad Baradaran-Ghahfarokhi
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Alexandra Rink
- Department of Radiation Physics, Princess Margaret Cancer Centre, ON, M5G 2M9, Canada
| | - Loredana Barresi
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Lorenzo Vinante
- Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Erica Piccoli
- Department of Breast Surgery, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
| | - Marco Trovo
- Department of Radiation Oncology, Udine General Hospital, 33100, Udine, UD, Italy
| | - Issam El Naqa
- Department of Radiation Oncology, Physics Division, University of Michigan, Ann Arbor, MI, 48103-493, USA
| | - Giovanna Sartor
- Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy
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Mascarin M, Drigo A, Dassie A, Gigante M, Franchin G, Sartor G, Trovò MG. Optimizing Craniospinal Radiotherapy Delivery in a Pediatric Patient Affected by Supratentorial PNET: A Case Report. Tumori 2018; 96:316-21. [DOI: 10.1177/030089161009600221] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [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
New advances in radiation therapy for children allow increased conformability and reduced doses to non-target tissues. We report our experience in treating a 4-year-old child with craniospinal tomotherapy after surgery of the primary tumor, a supratentorial primitive neuroectodermal tumor. The tomotherapy plan was compared with conventional craniospinal irradiation, 3D conformal radiation therapy, and intensity-modulated radiation therapy plans. The possible disadvantages of tomotherapy related to the radiation dose to organs at risk, treatment planning, and anesthesia should be carefully considered as the use of the technique is not suggested in a general manner, but selectively, in critical pediatric radiotherapy cases.
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Affiliation(s)
- Maurizio Mascarin
- Pediatric Radiotherapy Unit and Divisions of Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Annalisa Drigo
- Medical Physics, Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Andrea Dassie
- Medical Physics, Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Marco Gigante
- Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Giovanni Franchin
- Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Giovanna Sartor
- Medical Physics, Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
| | - Mauro G Trovò
- Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano (PN), Italy
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Avanzo M, Barbiero S, Trovo M, Bissonnette JP, Jena R, Stancanello J, Pirrone G, Matrone F, Minatel E, Cappelletto C, Furlan C, Jaffray DA, Sartor G. Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors. Phys Med 2017; 42:150-156. [PMID: 29173909 DOI: 10.1016/j.ejmp.2017.09.127] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 07/24/2017] [Accepted: 09/17/2017] [Indexed: 10/18/2022] Open
Abstract
PURPOSE To correlate radiation dose to the risk of severe radiologically-evident radiation-induced lung injury (RRLI) using voxel-by-voxel analysis of the follow-up computed tomography (CT) of patients treated for lung cancer with hypofractionated helical Tomotherapy. METHODS AND MATERIALS The follow-up CT scans from 32 lung cancer patients treated with various regimens (5, 8, and 25 fractions) were registered to pre-treatment CT using deformable image registration (DIR). The change in density was calculated for each voxel within the combined lungs minus the planning target volume (PTV). Parameters of a Probit formula were derived by fitting the occurrences of changes of density in voxels greater than 0.361gcm-3 to the radiation dose. The model's predictive capability was assessed using the area under receiver operating characteristic curve (AUC), the Kolmogorov-Smirnov test for goodness-of-fit, and the permutation test (Ptest). RESULTS The best-fit parameters for prediction of RRLI 6months post RT were D50 of 73.0 (95% CI 59.2.4-85.3.7)Gy, and m of 0.41 (0.39-0.46) for hypofractionated (5 and 8 fractions) and D50 of 96.8 (76.9-123.9)Gy, and m of 0.36 (0.34-0.39) for 25 fractions RT. According to the goodness-of-fit test the null hypothesis of modeled and observed occurrence of RRLI coming from the same distribution could not be rejected. The AUC was 0.581 (0.575-0.583) for fractionated and 0.579 (0.577-0.581) for hypofractionated patients. The predictive models had AUC>upper 95% band of the Ptest. CONCLUSIONS The correlation of voxel-by-voxel density increase with dose can be used as a support tool for differential diagnosis of tumor from benign changes in the follow-up of lung IMRT patients.
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Affiliation(s)
- Michele Avanzo
- Medical Physics, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy.
| | - Sara Barbiero
- Radiotherapy Department, Casa di Cura S. Rossore, Pisa, Italy
| | - Marco Trovo
- Radiation Oncology Department, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy; Radiation Oncology Department, Azienda Sanitaria Universitaria Integrata, Udine, Italy
| | - Jean-Pierre Bissonnette
- Department of Radiation Oncology, University of Toronto, Toronto, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Canada
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, UK
| | | | - Giovanni Pirrone
- Medical Physics, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
| | - Fabio Matrone
- Radiation Oncology Department, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
| | - Emilio Minatel
- Radiation Oncology Department, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
| | - Cristina Cappelletto
- Medical Physics, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
| | - Carlo Furlan
- Radiation Oncology Department, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
| | - David A Jaffray
- Department of Radiation Oncology, University of Toronto, Toronto, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Canada
| | - Giovanna Sartor
- Medical Physics, Centro di Riferimento Oncologico IRCCS Aviano, 33081 Aviano, Italy
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Calonghi N, Parolin C, Sartor G, Verardi L, Giordani B, Frisco G, Marangoni A, Vitali B. Interaction of vaginal Lactobacillus strains with HeLa cells plasma membrane. Benef Microbes 2017; 8:625-633. [PMID: 28618863 DOI: 10.3920/bm2016.0212] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Vaginal lactobacilli offer protection against recurrent urinary and vaginal infections. The precise mechanisms underlying the interaction between lactobacilli and the host epithelium remain poorly understood at the molecular level. Deciphering such events can provide valuable information on the mode of action of commensal and probiotic bacteria in the vaginal environment. We investigated the effects exerted by five Lactobacillus strains of vaginal origin (Lactobacillus crispatus BC1 and BC2, Lactobacillus gasseri BC9 and BC11 and Lactobacillus vaginalis BC15) on the physical properties of the plasma membrane in a cervical cell line (HeLa). The interaction of the vaginal lactobacilli with the cervical cells determined two kinds of effects on plasma membrane: (1) modification of the membrane polar lipid organisation and the physical properties (L. crispatus BC1 and L. gasseri BC9); (2) modification of α5β1 integrin organisation (L. crispatus BC2, L. gasseri BC11 and L. vaginalis BC15). These two mechanisms can be at the basis of the protective role of lactobacilli against Candida albicans adhesion. Upon stimulation with all Lactobacillus strains, we observed a reduction of the basal oxidative stress in HeLa cells that could be related to modifications in physical properties and organisation of the plasma membrane. These results confirm the strictly strain-specific peculiarities of Lactobacillus and deepen the understanding of the mechanisms underlying the health-promoting role of this genus within the vaginal ecosystem.
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Affiliation(s)
- N Calonghi
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - C Parolin
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - G Sartor
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - L Verardi
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - B Giordani
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - G Frisco
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
| | - A Marangoni
- 2 Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Via Massarenti 9, 40138 Bologna, Italy
| | - B Vitali
- 1 Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy
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Avanzo M, Stancanello J, Franchin G, Barbiero S, Jena R, Sartor G, Capra E. EP-1593: Accuracy of TCP model for nasopharyngeal cancer after more than five years average follow-up. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)32028-5] [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: 10/19/2022]
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Avanzo M, Chiovati P, Boz G, Sartor G, Dozza F, Capra E. Image-guided volumetric arc radiotherapy of pancreatic cancer with simultaneous integrated boost: Optimization strategies and dosimetric results. Phys Med 2015; 32:169-75. [PMID: 26626610 DOI: 10.1016/j.ejmp.2015.11.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 08/28/2015] [Accepted: 11/07/2015] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To introduce volumetric modulated arc therapy treatments (VMAT) with simultaneous integrated boost (SIB) for pancreatic cancer and describe dosimetric results on a large patient series. METHODS AND MATERIALS 45 patients with pancreatic malignancies were treated with 18 MV single-arc VMAT. Image guidance was performed with daily online kilo-volt cone-beam computed tomography (CBCT). The conformity index (CI) and homogeneity index (HI) to the target volumes, PTV45Gy and PTV54Gy, and dose-volume indices to OARs from the QUANTEC task group were reported. The risk of clinical nephritis was evaluated using normal tissue complication probability (NTCP). Treatments were verified in-phantom with the Delta4 system. RESULTS Average CI was 1.06 with 95% confidence intervals (95% CI) of 0.97-1.22 for PTV45Gy and 1.17 (0.66-1.61) for PTV54Gy. HI of PTV54Gy was 1.06 (1.04-1.10). OAR constraints were achieved in all patients, except for kidneys V12Gy of 48 (35.4-72.3)%. NTCP of the kidneys was 0.98 (0.6-1.7)%. Kidneys V12Gy and V20Gy were inversely related to PTV54Gy CI and maximum dose. All in-phantom tests had gamma pass rates exceeding 95% with global 3% dose difference and 3 mm distance to agreement. Patient shifts measured with CBCT had 95% CI of -0.8, +0.8 in the RL, -0.7, +0.8 in the SI, and -0.8, +0.7 cm in the AP directions. CONCLUSIONS Dosimetric results of VMAT were excellent on PTVs and organs at risk. The kidneys represent the dose-limiting organ at risk for this technique. NTCP indicates that this technique is safe from radiation-induced side effects to the kidneys.
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Affiliation(s)
- Michele Avanzo
- Medical Physics Unit, Centro di Riferimento Oncologico, 33081 Aviano, Italy.
| | - Paola Chiovati
- Medical Physics Unit, Centro di Riferimento Oncologico, 33081 Aviano, Italy
| | - Giovanni Boz
- Radiation Oncology Department, Centro di Riferimento Oncologico, 33081 Aviano, Italy
| | - Giovanna Sartor
- Medical Physics Unit, Centro di Riferimento Oncologico, 33081 Aviano, Italy
| | - Francesca Dozza
- Radiation Oncology Department, Centro di Riferimento Oncologico, 33081 Aviano, Italy
| | - Elvira Capra
- Medical Physics Unit, Centro di Riferimento Oncologico, 33081 Aviano, Italy
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Trovo M, Polesel J, Biasutti C, Sartor G, Roncadin M, Trovo GM. Fiducial markers for image-guided partial breast irradiation. Radiol Med 2013; 118:1212-9. [PMID: 23892956 DOI: 10.1007/s11547-013-0967-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Accepted: 09/12/2012] [Indexed: 10/26/2022]
Abstract
PURPOSE This study was undertaken to study the role of fiducial markers for image-guided partial breast irradiation (IG-PBI), and to compare the shifts based on bony anatomy and fiducial markers. MATERIALS AND METHODS Fifteen patients underwent IGPBI. Three fiducial markers were placed in the tumour bed at the time of surgery. Daily orthogonal anterior/ posterior and lateral kV-images were taken before each fraction and compared with the digitally-reconstructed radiographs, both using bony landmarks and fiducial markers as reference. The Student's t test was used to detect a meaningful difference of 3 mm in between the two methods. RESULTS A total of 105 image-guided radiation therapy (IGRT) sessions were obtained. The mean superior/inferior, right/left, and anterior/posterior shifts obtained using the bony landmarks vs. the fiducial markers were 2 mm [standard deviation (SD) 10 mm] vs. 0 mm (SD 7 mm), 0 mm (SD 7 mm) vs. 1 mm (SD 4 mm), and 1 mm (SD 7 mm) vs. 0 mm (SD 5 mm), respectively. The mean shift differences in absolute value between the two methods, along the superior/inferior, right/left and anterior/posterior directions were 5 mm (p=0.001), 3 mm [p=not significant (ns)], and 3 mm (p=ns), respectively. CONCLUSIONS Fiducial markers for IG-PBI increase set-up accuracy compared to the bony landmarks, in particular along the superior/inferior direction.
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Affiliation(s)
- Marco Trovo
- Department of Radiation Oncology, Centro di Riferimento Oncologico, CRO, Via F. Gallini 2, 33081, Aviano (PN), Italy,
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Avanzo M, Drigo A, Ren Kaiser S, Roggio A, Sartor G, Chiovati P, Franchin G, Mascarin M, Capra E. Dose to the skin in helical tomotherapy: Results of in vivo measurements with radiochromic films. Phys Med 2013; 29:304-11. [DOI: 10.1016/j.ejmp.2012.04.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2011] [Revised: 04/10/2012] [Accepted: 04/14/2012] [Indexed: 12/21/2022] Open
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Belletti B, Massarut S, D'Andrea S, Martinuzzo D, Roncadin M, Perin T, Sartor G, Trovò M, Calin G, Baldassarre G. P259 TARGIT modulates miRNAs expression to control growth factors production in breast tissue. Breast 2011. [DOI: 10.1016/s0960-9776(11)70203-x] [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: 10/18/2022] Open
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Avanzo M, Stancanello J, Franchin G, Sartor G, Jena R, Drigo A, Dassie A, Gigante M, Capra E. Correlation of a hypoxia based tumor control model with observed local control rates in nasopharyngeal carcinoma treated with chemoradiotherapy. Med Phys 2010; 37:1533-44. [DOI: 10.1118/1.3352832] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Mascarin M, Dall'Oglio S, Palazzi M, Sartor G, Marradi PL, Romano M, Maluta S. A Case of Relapsed Medulloblastoma Treated with Intensity-Modulated Radiotherapy and Temozolomide. Tumori 2010; 96:327-31. [PMID: 20572594 DOI: 10.1177/030089161009600223] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We report a case of relapsed high-risk non-metastatic medulloblastoma in a 14-year-old boy, which was treated with intensity-modulated radiotherapy (IMRT) and temozolomide (TMZ). At the age of 11, the patient underwent an MRI-confirmed incomplete resection of a fourth-ventricle medulloblastoma, followed by conventional chemotherapy, craniospinal irradiation (55.8 Gy, 1.8 Gy/fraction) and then myeloablative chemotherapy followed by peripheral blood progenitor cell rescue. After 18 months of complete remission following the completion of chemotherapy, MRI showed a 2.5-cm mass in the olfactory notch. The patient underwent IMRT (45 Gy, 1.8 Gy/fraction) with concomitant administration of TMZ (180 mg/m2, 5 days every 21 days), which was well tolerated. After 5 cycles of TMZ, MRI showed complete remission with no evidence of the mass. TMZ was continued for another 5 cycles and then stopped. At 14 months from the completion of IMRT, a new MRI scan showed multiple nodular relapses around the fourth ventricle and the patient is currently treated with oral etoposide.
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Affiliation(s)
- Maurizio Mascarin
- Department of Radiotherapy Centro di Riferimento Oncologico, Aviano, Pordenone
| | | | - Mario Palazzi
- Department of Radiotherapy Azienda Ospedaliera, Verona, Italy
| | - Giovanna Sartor
- Department of Medical Physics, Centro di Riferimento Oncologico, Aviano, Pordenone
| | | | - Mario Romano
- Department of Radiotherapy Azienda Ospedaliera, Verona, Italy
| | - Sergio Maluta
- Department of Radiotherapy Azienda Ospedaliera, Verona, Italy
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Sartor G, Melander A, Scherstén B, Wåhlin-Boll E. Comparative single-dose kinetics and effects of four sulfonylureas in healthy volunteers. Acta Med Scand 2009; 208:301-7. [PMID: 6778079 DOI: 10.1111/j.0954-6820.1980.tb01199.x] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The single-dose kinetics and effects of tolbutamide (500 mg), chlorpropamide (250 mg), glibenclamide (5 mg) and glipizide (5 mg) were compared in 7 healthy male volunteers by measurements of serum concentrations of the drugs and of plasma insulin and blood glucose. The drugs were administered both on an empty stomach and together with a standardized breakfast. The concentrations of tolbutamide and chlorpropamide were measured by gas chromatography, those of glipizide with high-pressure liquid chromatography, those of glibenclamide and insulin by radioimmunoassay and those of glucose by the hexokinase method. Glipizide and glibenclamide were more potent inducers of insulin release and blood glucose reduction than tolbutamide and chlorpropamide. As the concentrations of the former two drugs were in the range of nmol/l and those of the latter two in the mumol/l range, the findings support the notion that the intrinsic activity of the two second-generation sulfonylureas is at least 1 000 times greater than that of the two first-generation drugs. Glipizide seemed to be a more potent and more rapid insulin releaser than glibenclamide, but this may be secondary to biopharmaceutic differences between the two preparations. The bioavailability of glipizide was apparently greater than that of glibenclamide. Both glibenclamide (t 1/2 = 1.8 h) and glipizide (t 1/2 = 4.3 h) showed much shorter elimination half-lives than tolbutamide (7 h) and chlorpropamide (34 h). It seems probable, however, that these half-lives are not fully informative as to the duration of action of the drugs.
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Olofsson P, Montan S, Sartor G, Sjöberg NO. Effects of beta 1-adrenoceptor blockade in the treatment of hypertension during pregnancy in diabetic women. Acta Med Scand 2009; 220:321-8. [PMID: 3541500 DOI: 10.1111/j.0954-6820.1986.tb02772.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The effects of beta 1-blockade were investigated in 18 hypertensive pregnant diabetic women. The same women served as controls, covering a period just before therapy. The blood pressure was reduced in 14 women (p less than 0.01). The change in blood glucose homeostasis was statistically not different from the control period. Insulin doses were not affected. The fetal heart rate was affected by therapy, causing a decrease in baseline rate (p less than 0.05) and in acceleration amplitude (p less than 0.05). Although the incidence of suspect fetal distress, intrauterine growth retardation and preterm delivery was high, all surviving infants had normal Apgar scores at 5 and 10 min. Perinatal mortality consisted of one stillbirth. Except for respiratory problems, the incidence of neonatal complications was low. All survivors were healthy at follow-up. We found beta 1-blockade to be effective and safe in this group of high-risk pregnancies, and suggest it as an alternative for anti-hypertensive therapy in diabetic pregnancy.
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Melander A, Almér LO, Sartor G, Scherstén B, Wåhlin-Boll E. Oral antidiabetic therapy. Acta Med Scand Suppl 2009; 656:55-7. [PMID: 7046351 DOI: 10.1111/j.0954-6820.1982.tb07704.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Hagander B, Scherstén B, Asp NG, Sartor G, Agardh CD, Schrezenmeir J, Kasper H, Ahrén B, Lundquist I. Effect of dietary fibre on blood glucose, plasma immunoreactive insulin, C-peptide and GIP responses in non insulin dependent (type 2) diabetics and controls. Acta Med Scand 2009; 215:205-13. [PMID: 6328896 DOI: 10.1111/j.0954-6820.1984.tb04995.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
A high fibre and a low fibre breakfast meal were given to eight non insulin dependent diabetics ( NIDD ), and eight controls. Blood glucose response was monitored continuously for three hours and characterized using a straight line model. After the high fibre meal the rates of increase and decrease in blood glucose concentration were slower both in diabetics and controls than after the low fibre meal. The delay time, however, i.e. the time from meal intake to the start of glucose increase, hypothetically corresponding to gastric emptying time, was the same after both test meals. The postprandial glucose increment calculated as the area under the 0-120 min curve was lower after the high fibre meal in the NIDD , but not in the controls. The two-hour C-peptide and gastric inhibitory polypeptide values were lower for the diabetics after the high fibre breakfast. The results indicate a prolonged carbohydrate digestion and/or absorption after high fibre breakfast.
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Abstract
Eighty diabetic patients, consecutively selected from an out-patient clinic, were studied with regard to plasma lipoprotein levels, especially HDL. Patients treated with sulphonylureas had 24% lower HDL cholesterol concentrations (p less than 0.01) but only about 7% lower apo AI levels (n.s.) than those on insulin treatment. This difference could at least partly be explained by differences in age and type of diabetes. There was no relationship between the degree of diabetic control, as measured by fasting blood glucose levels, and HDL levels. In two subgroups of insulin-treated diabetics, selected to represent extremely low and high HDL levels (range 0.5-0.8 and 1.8-2.0 mmol/l, respectively) but matched with regard to age, duration of diabetes, insulin dosage and diabetic control, the activities of lipoprotein lipase and hepatic lipase in postheparin plasma were also recorded. The high HDL group had significantly higher lipoprotein lipase activities (p less than 0.01) and significantly lower hepatic lipase activities (p less than 0.05) than the low HDL group, supporting the hypothetical roles of these enzymes in HDL metabolism, and offering a tentative mechanism behind the large variability of HDL levels in diabetics.
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Sartor G, Scherstén B, Melander A. Effects of glipizide and food intake on the blood levels of glucose and insulin in diabetic patients. Acta Med Scand 2009; 203:211-4. [PMID: 345754 DOI: 10.1111/j.0954-6820.1978.tb14858.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Sartor G, Carlström S, Scherstén B. Dietary supplementation of fibre (Lunelax) as a mean to reduce postprandial glucose in diabetics. Acta Med Scand Suppl 2009; 656:51-3. [PMID: 6283801 DOI: 10.1111/j.0954-6820.1982.tb07703.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The postprandial glucose concentrations after a standardized breakfast of 12 type II diabetics were followed and the effect of supplementation of a fibre-containing bulk-purgative (Lunelax) to the meal was investigated. It was found that addition of Lunelax reduced the mean increment glucose concentration with about 9%. The patients reported that Lunelax was convenient to take.
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Asp NG, Agardh CD, Ahrén B, Dencker I, Johansson CG, Lundquist I, Nyman M, Sartor G, Scherstén B. Dietary fibre in type II diabetes. Acta Med Scand Suppl 2009; 656:47-50. [PMID: 6283800 DOI: 10.1111/j.0954-6820.1982.tb07702.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Recent studies have indicated that diets rich in digestible carbohydrates and dietary fibre might be beneficial in the regulation of type II non insulin dependent diabetes (NIDD). Addition of the gel forming type of dietary fibre such as pectin and guar gum to meals or glucose solutions reduces post-prandial glucose and insulin response. Addition of cereal fibres in the form of bran seems to have long term beneficial effect improving glucose tolerance. Little is known, however, concerning effects of dietary fibre naturally occurring in food on postprandial glucose and hormone response. In the present study we prepared two breakfast meals which were similar regarding digestible carbohydrates but differed in their dietary fibre content. One of the meals, including whole grain bread and whole apples, contained 8.4 g of dietary fibre, and the other one, containing white bread and apple juice, 3.1 g. When given to eight NIDD, the fibre rich breakfast gave significantly lower blood glucose increment during the three hours following ingestion. The results indicate that foods rich in dietary fibre might be useful in the regulation of type II diabetes.
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Avanzo M, Franchin G, Sartor G, Gigante M. WE-C-AUD B-01: Tumor Control Probability of Undifferentiated Nasopharyngeal Cancer. Med Phys 2008. [DOI: 10.1118/1.2962688] [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: 11/07/2022] Open
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Avanzo M, Dassie A, Drigo A, Sartor G, Capra E, Cappelletto C, Kaiser SR. SU-GG-T-192: In-Vivo Skin Dosimetry with EBT Radiochromic Films in Helical Tomotherapy Treatments. Med Phys 2008. [DOI: 10.1118/1.2961944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Avanzo M, Cappelletto C, Capra E, Dassie A, Drigo A, Kaiser SR, Sartor G. SU-FF-T-08: A Comparison of EBT Radiochromic and EDR2 Radiographic Films for Tomotherapy Treatments Dose Verification. Med Phys 2007. [DOI: 10.1118/1.2760653] [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: 11/07/2022] Open
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42
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Abstract
Habitual abuse of the wormwood spirit absinthe was described in the 19th and 20th centuries as a cause for the mental disorder "absinthism" including the symptoms hallucinations, sleeplessness and convulsions. A controversial discussion is going on if thujone, a characteristic component of the essential oil of the wormwood plant Artemisia absinthium L., is responsible for absinthism, or if it was merely caused by chronic alcohol intoxication or by other reasons such as food adulterations. To ascertain if thujone may have caused absinthism, absinthes were produced according to historic recipes of the 19th century. Commercial wormwood herbs of two different manufacturers, as well as self-cultivated ones, were used in a concentration of 6 kg/100 l spirit. In addition, an authentic vintage Pernod absinthe from Tarragona (1930), and two absinthes from traditional small distilleries of the Swiss Val-de-Travers were evaluated. A GC-MS procedure was applied for the analysis of alpha- and beta-thujone with cyclodecanone as internal standard. The method was shown to be sensitive with a LOD of 0.08 mg/l. The precision was between 1.6 and 2.3%, linearity was obtained from 0.1 to 40 mg/l (r = 1.000). After the recent annulment of the absinthe prohibition all analysed products showed a thujone concentration below the maximum limit of 35 mg/l, including the absinthes produced according to historic recipes, which did not contain any detectable or only relatively low concentrations of thujone (mean: 1.3 +/- 1.6 mg/l, range: 0-4.3 mg/l). Interestingly, the vintage absinthe also showed a relatively low thujone concentration of 1.8 mg/l. The Val-de-Travers absinthes contained 9.4 and 1.7 mg/l of thujone. In conclusion, thujone concentrations as high as 260 mg/l, reported in the 19th century, cannot be confirmed by our study. With regard to their thujone concentrations, the hallucinogenic potential of vintage absinthes can be assessed being rather low because the historic products also comply with today's maximum limits derived to exclude such effects. It may be deduced that thujone plays none, or only a minor role in the clinical picture of absinthism.
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Affiliation(s)
- Dirk W Lachenmeier
- Chemisches und Veterinäruntersuchungsamt (CVUA) Karlsruhe, Weissenburger Str. 3, D-76187 Karlsruhe, Germany.
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De Paoli A, Bertola G, Boz G, Frustaci S, Massarut S, Innocente R, De Cicco M, Sartor G, Trovò MG, Rossi C. Intraoperative radiation therapy for retroperitoneal soft tissue sarcomas. J Exp Clin Cancer Res 2003; 22:157-61. [PMID: 16767923] [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] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Treatment of retroperitoneal soft tissue sarcomas is a difficult clinical problem. Despite the improvement in resection rates in the most recent surgical series, local control still remains the main problem because of the high incidence of local recurrences after surgery. Postoperative radiation therapy has not been always successful because of dose-tolerance of surrounding normal structures, which prevent the delivery of adequate doses of radiation. To overcome this limitations, new therapeutic approaches including external-beam radiation and intraoperative radiation therapy (IORT) have been evaluated at some Institutions. The results of IORT with or without external-beam radiation are reviewed and our experience with preoperative radiation and IORT is reported. As treatment of retroperitoneal sarcomas has evolved into combined modalities including preoperative radiation, maximum surgical resection and IORT, a possible improvement in local control rates has been achieved. However, locoregional failures and the incidence of distant metastases remain a challenge, emphasising the need for further improvement in local and distant treatment. The new phase II trial, activated within the Italian Sarcoma Group, with preoperative concurrent chemo-radiation therapy and IORT is presented.
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Affiliation(s)
- A De Paoli
- Radiation Oncology, Surgical Oncology, Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy.
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De Paoli A, Rossi C, Boz G, Innocente R, Bertola G, Massarut S, De Cicco M, Sartor G, Frustaci S, Trovo’ M. Preoperative and intraoperative radiation therapy for retroperitoneal soft tissue sarcomas: preliminary results of a pilot study. Int J Radiat Oncol Biol Phys 2003. [DOI: 10.1016/s0360-3016(03)01421-4] [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: 11/15/2022]
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Franchin G, Minatel E, Gobitti C, Talamini R, Vaccher E, Sartor G, Politi D, Trovò MG, Barzan L. Radiotherapy for patients with early-stage glottic carcinoma: univariate and multivariate analyses in a group of consecutive, unselected patients. Cancer 2003; 98:765-72. [PMID: 12910521 DOI: 10.1002/cncr.11575] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.4] [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: 11/10/2022]
Abstract
BACKGROUND Radiotherapy (RT) has a remarkable success rate in the treatment of patients with glottic carcinoma. The objectives of the current study were to assess the results in a group of consecutive patients with comparable characteristics who were treated with RT (6-megavolt photon linear accelerator) and to determine the prognostic factors that may influence local control in patients with early-stage glottic carcinoma. The impact on local control of tobacco smoking and second primary malignancies also was investigated. METHODS Four hundred ten patients with T1-T2 squamous cell carcinoma of the glottis who were treated between 1986 and 2001 were analyzed retrospectively with regard to local control and overall survival. Potential prognostic factors for local control were evaluated with univariate and multivariate models. The impact of technologic advances also was evaluated. RESULTS The 5-year and 10-year overall survival rates were 83% and 63.5%, respectively. The overall 10-year local control rate for patients with T1-T2 glottic carcinoma was 89%. The median time to recurrence was 7 months. Univariate analysis showed that tumor category, tumor size, macroscopic appearance of the lesion, RT fraction size, persistent edema, year of RT treatment, unchanged dysphonia, and surgical option all had a significant influence on local control; whereas multivariate analysis showed that only persistent dysphonia and year of RT treatment were significantly associated with increased local control. A 22.2% rate of second primary malignancies was reported: second primary tumors were the major cause of death in the patients studied. Only 2 patients died of laryngeal carcinoma; 304 patients were alive with their disease in complete remission, 1 patient was alive with recurrent laryngeal carcinoma after undergoing salvage surgery, and 103 patients died of either intercurrent disease or a second primary tumor. CONCLUSIONS The use of a 6-megavolt photon linear accelerator achieved a high rate of local control in patients with T1-T2 glottic carcinoma. Dysphonia and the year of RT treatment were the most important prognostically significant factors for patient outcome. The occurrence of a second primary tumor was the most frequent cause of death, especially among patients who did not stop smoking after a diagnosis of glottic carcinoma.
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Affiliation(s)
- Giovanni Franchin
- Department of Radiotherapy, Centro di Riferimento Oncologico, Aviano, Italy.
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Franchin G, Vaccher E, Talamini R, Gobitti C, Minatel E, Politi D, Sartor G, Trovò MG, Barzan L. Nasopharyngeal cancer WHO type II-III: monoinstitutional retrospective analysis with standard and accelerated hyperfractionated radiation therapy. Oral Oncol 2002; 38:137-44. [PMID: 11854060 DOI: 10.1016/s1368-8375(01)00034-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [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: 10/17/2022]
Abstract
The aim of this study is to assess the impact of prognostic factors in patients with locoregionally advanced nasopharyngeal cancer (NPC), WHO type II-III, treated with two different radiation therapy (RT) schedules: standard radiation therapy (SRT), and accelerated hyperfractionated radiation therapy (HART), with or without sequential chemotherapy. Between January 1986 and December 1999, 78 consecutive NPC patients were treated either with SRT (until August 1993) or with HART (from September 1993). Of the 78 patients, 60 were males and 18 females, the median age was 56 years (range 14-83). Nine patients had a non-keratinizing carcinoma (WHO type II) and 69 an undifferentiated carcinoma (WHO type III). Five-year overall survival rate (OS) was 62%. Two months after RT, 73 patients were in complete remission. Disease-free survival (DFS) rates at 5 years were: 85% for the HART and 59% for the SRT group, respectively. A multivariate analysis, age (hazard ratio, HR=4.17 for > or = 60 vs. <50 years) and N-stage (HR=3.56 for N3a-N3b vs. N0-N1) were significant for survival, whereas N-stage (HR=8.23 for N3a-N3b vs. N0-N1) and RT schedule (HR=0.30 for HART vs. SRT) were significant for DFS. In our experience, HART achieved higher DFS rates than SRT; however, HART did not favourably affect OS. Toxicity was comparable in the two RT schedules.
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Affiliation(s)
- G Franchin
- Division of Radiotherapy, Centro di Riferimento Oncologico - IRCCS, Via Pedemontana Occ. 12, 33081 Aviano (PN), Italy.
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Hermann LS, Kalén J, Katzman P, Lager I, Nilsson A, Norrhamn O, Sartor G, Ugander L. Long-term glycaemic improvement after addition of metformin to insulin in insulin-treated obese type 2 diabetes patients. Diabetes Obes Metab 2001; 3:428-34. [PMID: 11903415 DOI: 10.1046/j.1463-1326.2001.00160.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIM To assess the adjunct effect of metformin to insulin in type 2 diabetes. METHODS Obese and overweight type 2 diabetes patients treated with insulin for at least 1 year, and with poor glycaemic control (HbA1c > upper reference level + 2%), were included in a randomised, double-blind, placebo-controlled study. Patients were treated for 12 months with either metformin (850 mg b.i.d.) or placebo added to their usual insulin, which was stabilized during a 3-month placebo run-in period, but thereafter attempted to be unchanged. RESULTS Thirty-seven patients were included. Two patients dropped out during run-in. There were no differences between the metformin (n = 16) and placebo (n = 19) group at baseline. Most patients received multiple insulin injections. Metabolic control was improved by addition of metformin. Mean change in HbA1c from baseline showed highly significant difference between groups at 3, 6, 9 and 12 months. Mean change (percentage units +/- s.d.) at 12 months was -1.1 +/- 0.7% vs. + 0.3 +/- 0.8% (p < 0.001) for HbA1c and -1.4 +/- 2.1 mmol/l vs. + 0.6 +/- 2.2 mmol/l (p = 0.025) for fasting blood glucose. Mean low density lipoprotein (LDL) cholesterol change differed slightly at 6 months, but not at 12 months. There were no changes in insulin dose, blood pressure, body weight, triglycerides, total- and high density lipoprotein (HDL) cholesterol, fibrinogen, C-peptide and laboratory safety variables, including serum B12. Combination therapy was well-tolerated with the same adverse event rate as insulin alone, but more patients with diarrhoea. CONCLUSION Addition of metformin to insulin induced and maintained clinically significant and consistent long-term reduction of hyperglycaemia in obese, insulin-treated type 2 diabetes patients.
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Affiliation(s)
- L S Hermann
- The Swedish Network for Pharmacoepidemiology, Malmö, Sweden
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Sartor G, Pagani R, Ferrari E, Sorbi RT, Cavaggioni A, Cavatorta P, Spisni A. Determining the binding capability of the mouse major urinary proteins using 2-naphthol as a fluorescent probe. Anal Biochem 2001; 292:69-75. [PMID: 11319819 DOI: 10.1006/abio.2001.5065] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [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: 11/22/2022]
Abstract
The mouse major urinary proteins (MUPs) are an ensemble of isoforms secreted by adult male mice and involved in sexual olfactory communication. MUPs belong to the lipocalin superfamily, whose conserved structure is a beta-barrel made of eight antiparallel beta-strands forming a hydrophobic pocket that accommodates small organic molecules. A detailed knowledge of the molecular mechanism associated to the binding of those molecules can guide protein engineering to devise mutated proteins where the ligand specificity, binding affinity, and release rate can be modulated. Proteins with such peculiar properties may have interesting biotechnological applications for pest control, as well as in food and cosmetic industries. In this work, we demonstrate that the fluorescent molecule 2-naphthol binds to the natural ligand's binding site of MUPs with high affinity. In addition, we show that 2-naphthol binds to MUPs in its protonated form, that its fluorescence is blue-shifted, and the quantum yield is increased, thus confirming the high hydrophobicity of the protein pocket and the absence of proton acceptors inside the binding site. At large the results presented, besides demonstrating that the use of 2-naphthol provides a convenient and quick method for testing MUPs binding activity and to ascertain the quality of the protein preparation, suggest that MUPs can represent an interesting system for studying the photophysical characteristics of fluorescent molecules in a highly hydrophobic environment.
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Affiliation(s)
- G Sartor
- Department of Experimental and Evolutionary Biology, University of Bologna, Bologna, Italy
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Affiliation(s)
- G. Sartor
- Department of Materials Science and Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada
| | - G. P. Johari
- Department of Materials Science and Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada
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Duranti MA, Franzoni L, Sartor G, Benedetti A, Iwai LK, Gruber A, Zingales B, Guzman F, Kalil J, Spisni A, Cunha-Neto E. Trypanosoma cruzi: conformational preferences of antigenic peptides bearing the immunodominant epitope of the B13 antigen. Exp Parasitol 1999; 93:38-44. [PMID: 10464037 DOI: 10.1006/expr.1999.4428] [Citation(s) in RCA: 8] [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: 11/22/2022]
Abstract
The Trypanosoma cruzi recombinant protein B13 contains tandemly repeated domains and shows high sensitivity in the serological diagnosis of Chagas' disease. It has been shown that the immunodominant epitope of B13 is contained in the GDKPSLFGQAAAGDKPSLF-NH(2) sequence and that the hexapeptide AAAGDK seems to be the "core" of that epitope. Three peptides containing that "core" sequence, one corresponding to the entire repeat motif GDKPSLFGQAAAGDKPSLF-NH(2), pB13, and two smaller fragments, FGQAAAGDK-NH(2), S4, and QAAAGDKPS-NH(2), S5, have been tested in competitive ELISA with recombinant protein B13 in the solid phase against 40 chagasic sera from Brazilian patients. The median percentage inhibition for pB13, S4, and S5 were, respectively, 91, 86, and 68%. The possibility that the distinct antigenic activity of those peptides correlates with the existence of preferential conformational properties has been investigated by CD and NMR spectroscopy. Results indicate their propensity to adopt a helical configuration, centered in the AAAGDK sequence, and whose extent and stability directly correlates with the peptides' antigenicity. The data are discussed in the light of the existence of conformational preferences involving immunodominant epitopes in tandemly repeated antigens.
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Affiliation(s)
- M A Duranti
- Laboratory of Transplantation Immunology, Heart Institute, Faculty of Medicine, University of São Paulo, SP, Brazil
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