13 results on '"Daniela Menon"'
Search Results
2. Honokiol Bis-Dichloroacetate Is a Selective Allosteric Inhibitor of the Mitochondrial Chaperone TRAP1
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Carlos Sanchez-Martin, Giorgio Colombo, Justin Elsey, Elisabetta Moroni, Daniela Menon, Andrea Rasola, Jack L. Arbiser, Ionica Masgras, and Mariarosaria Ferraro
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0301 basic medicine ,Honokiol ,Models, Molecular ,SIRT3 ,Physiology ,Clinical Biochemistry ,Allosteric regulation ,Antineoplastic Agents ,Mitochondrion ,Biochemistry ,neurofibromatosis type 1 ,honokiol ,Lignans ,TRAP1 ,Cell Line ,03 medical and health sciences ,chemistry.chemical_compound ,Downregulation and upregulation ,Allosteric Regulation ,Forum Original Research Communication ,Heat shock protein ,Humans ,HSP90 Heat-Shock Proteins ,antineoplastic compound ,mitochondria ,molecular dynamics ,Molecular Biology ,General Environmental Science ,030102 biochemistry & molecular biology ,biology ,Molecular Structure ,Chemistry ,Biphenyl Compounds ,Cell Biology ,Hsp90 ,Recombinant Proteins ,Cell biology ,Mitochondria ,030104 developmental biology ,Chaperone (protein) ,biology.protein ,General Earth and Planetary Sciences - Abstract
Aims: TNF receptor-associated protein 1 (TRAP1), the mitochondrial paralog of the heat shock protein 90 (Hsp90) family of molecular chaperones, is required for neoplastic growth in several tumor cell models, where it inhibits succinate dehydrogenase (SDH) activity, thus favoring bioenergetic rewiring, maintenance of redox homeostasis, and orchestration of a hypoxia-inducible factor 1-alpha (HIF1α)-mediated pseudohypoxic program. Development of selective TRAP1 inhibitors is instrumental for targeted development of antineoplastic drugs, but it has been hampered up to now by the high degree of homology among catalytic pockets of Hsp90 family members. The vegetal derivative honokiol and its lipophilic bis-dichloroacetate ester, honokiol DCA (HDCA), are small-molecule compounds with antineoplastic activity. HDCA leads to oxidative stress and apoptosis in in vivo tumor models and displays an action that is functionally opposed to that of TRAP1, as it induces both SDH and the mitochondrial deacetylase sirtuin-3 (SIRT3), which further enhances SDH activity. We investigated whether HDCA could interact with TRAP1, inhibiting its chaperone function, and the effects of HDCA on tumor cells harboring TRAP1. Results: An allosteric binding site in TRAP1 is able to host HDCA, which inhibits TRAP1 but not Hsp90 ATPase activity. In neoplastic cells, HDCA reverts TRAP1-dependent downregulation of SDH, decreases proliferation rate, increases mitochondrial superoxide levels, and abolishes tumorigenic growth. Innovation: HDCA is a potential lead compound for the generation of antineoplastic approaches based on the allosteric inhibition of TRAP1 chaperone activity. Conclusions: We have identified a selective TRAP1 inhibitor that can be used to better dissect TRAP1 biochemical functions and to tailor novel tumor-targeting strategies.
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- 2020
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3. Predictive genetic markers in neoadjuvant chemoradiotherapy for locally advanced esophageal cancer: a long way to go. Review of the literature
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Yasmina Modena, E. Pezzolo, Carmen Barile, F Pasini, Giorgio Crepaldi, Milena Gusella, Daniela Menon, F. La Russa, and Anna Paola Fraccon
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Genetic Markers ,0301 basic medicine ,Esophageal Neoplasms ,DNA repair ,medicine.medical_treatment ,Antineoplastic Agents ,Single-nucleotide polymorphism ,Biology ,Bioinformatics ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,microRNA ,Genetics ,medicine ,Humans ,Neoadjuvant therapy ,Pharmacology ,Hazard ratio ,Chemoradiotherapy ,Esophageal cancer ,medicine.disease ,Neoadjuvant Therapy ,030104 developmental biology ,Genetic marker ,030220 oncology & carcinogenesis ,Molecular Medicine - Abstract
The role of genetic molecular markers in neoadjuvant treatment for locally advanced esophageal cancer has been reviewed, focusing strictly on concurrent chemoradiation protocols followed by surgery. Eleven studies evaluated the role of mRNA expression profile; the end point was overall survival (OS) in two studies and different definitions of histological response in nine. Genes reported as significant were involved in cell cycle control (30), apoptosis (7), structural molecules (9), cell metabolism (6) and DNA repair (1). Seven studies reported about 15 microRNA (miRNA) molecules associated with OS (2) or histological response (13), however, defined with different classifications. Their target genes were prevalently involved in cell cycle control (4), apoptosis (1), cell adhesion (1), migration (1) and angiogenesis (1). Gene polymorphisms (single-nucleotide polymorphisms (SNPs)) have been evaluated in 8 studies reporting 10 variants associated with survival or pathological response. OS was the end point in six of these studies. SNPs reported as significant were involved in DNA repair system (4), detoxification (2), folate metabolism (6), drug efflux (2) and others (2). In a study, a panel including histology, pathological response and five SNPs discriminated two subsets of patients with 5-year survival rates of 79.3% and 26.3% (hazard ratio 6.25, P
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- 2017
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4. Genetic prediction of long-term survival after neoadjuvant chemoradiation in locally advanced esophageal cancer
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P. Paganin, G. De Manzoni, E. Pezzolo, Jacopo Weindelmayer, Daniela Menon, Milena Gusella, Simone Giacopuzzi, F Pasini, Andrea Zanoni, Giorgio Crepaldi, Yasmina Modena, and Laura Bertolaso
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Male ,0301 basic medicine ,Time Factors ,Esophageal Neoplasms ,medicine.medical_treatment ,Kaplan-Meier Estimate ,Bioinformatics ,Gastroenterology ,GSTP1 ,0302 clinical medicine ,Risk Factors ,esophageal cancer ,esophageal cancer, Genetic prediction of response ,Precision Medicine ,Neoadjuvant therapy ,biology ,Hazard ratio ,Middle Aged ,Esophageal cancer ,Neoadjuvant Therapy ,Gene Expression Regulation, Neoplastic ,Treatment Outcome ,030220 oncology & carcinogenesis ,Predictive value of tests ,Carcinoma, Squamous Cell ,Molecular Medicine ,Adenocarcinoma ,Female ,Esophageal Squamous Cell Carcinoma ,Adult ,medicine.medical_specialty ,Polymorphism, Single Nucleotide ,Risk Assessment ,Disease-Free Survival ,03 medical and health sciences ,Predictive Value of Tests ,Internal medicine ,Biomarkers, Tumor ,Genetics ,medicine ,Humans ,Genetic prediction of response ,Aged ,Neoplasm Staging ,Pharmacology ,Gene Expression Profiling ,Chemoradiotherapy, Adjuvant ,medicine.disease ,030104 developmental biology ,Pharmacogenetics ,Methylenetetrahydrofolate reductase ,biology.protein - Abstract
Candidate genes involved in DNA repair, 5-fluorouracil metabolism and drug detoxification were genotyped in 124 patients receiving neoadjuvant chemoradiation treatment for locally advanced esophageal cancer and their predictive role for long-term relapse-free survival (RFS) and cancer-specific survival (CSS) were evaluated. A panel including MTHFR 677TT, MDR1 2677GT, GSTP1 114CC, XPC 499CC and XPC 939AC+CC, defined as high-risk genotypes, discriminated subgroups with significantly different outcomes. When the panel was combined with histology, patients split into two subsets with 5-year RFS and CSS rates of 65% vs 27% (hazard ratio (HR) 3.0, P
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- 2016
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5. Adjuvant anastrozole versus exemestane versus letrozole, upfront or after 2 years of tamoxifen, in endocrine-sensitive breast cancer (FATA-GIM3): a randomised, phase 3 trial
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Sabino De Placido, Ciro Gallo, Michelino De Laurentiis, Giancarlo Bisagni, Grazia Arpino, Maria Giuseppa Sarobba, Ferdinando Riccardi, Antonio Russo, Lucia Del Mastro, Alessio Aligi Cogoni, Francesco Cognetti, Stefania Gori, Jennifer Foglietta, Antonio Frassoldati, Domenico Amoroso, Lucio Laudadio, Luca Moscetti, Filippo Montemurro, Claudio Verusio, Antonio Bernardo, Vito Lorusso, Adriano Gravina, Gabriella Moretti, Rossella Lauria, Antonella Lai, Carmela Mocerino, Sergio Rizzo, Francesco Nuzzo, Paolo Carlini, Francesco Perrone, Antonello Accurso, Biagio Agostara, Michele Aieta, Oscar Alabiso, Maria Grazia Alicicco, Dino Amadori, Laura Amaducci, Gianna Amiconi, Giustino Antuzzi, Mara Ardine, Antonio Ardizzoia, Caterina Aversa, Giuseppe Badalamenti, Sandro Barni, Carlo Basurto, Rossana Berardi, Cinzia Bergamasco, Paolo Bidoli, Claudia Bighin, Edoardo Biondi, Corrado Boni, Karen Borgonovo, Mario Botta, Stefano Bravi, Paolo Bruzzi, Giuseppe Buono, Alfredo Butera, Alessia Caldara, Giampiero Candeloro, Claudia Cappelletti, Cinzia Cardalesi, Elisabetta Carfora, Anna Cariello, Francesco Carrozza, Giacomo Cartenì, Michele Caruso, Virginia Casadei, Claudia Casanova, Luigi Castori, Luigi Cavanna, Giovanna Cavazzini, Marina Cazzaniga, Mario Chilelli, Paolo Chiodini, Silvia Chiorrini, Fortunato Ciardiello, Mariangela Ciccarese, Saverio Cinieri, Mario Clerico, Mariarosa Coccaro, Mario Comande, Claudia Corbo, Giuseppina Cortino, Stefania Cusenza, Gennaro Daniele, Alfonso Maria D'arco, Giuliana D'auria, Claudio Dazzi, Carmine De Angelis, Filippo de Braud, Gianfranco De Feo, Andrea De Matteis, Michele De Tursi, Anna Di Blasio, Giuseppe di Lucca, Liberato Di Lullo, Francesca Di Rella, Gianfranco Di Renzo, Pia Di Stefano, Aida Di Stefano, Anna Diana, Sara Donati, Agnese Fabbri, Alessandra Fabi, Marina Faedi, Gabriella Farina, Antonio Farris, Antonio Febbraro, Palma Fedele, Piera Federico, Francesco Ferraù, Gianluigi Ferretti, Antonella Ferro, Irene Floriani, Rosachiara Forcignanò, Samantha Forciniti, Valeria Forestieri, Gianni Fornari, Michela Frisinghelli, Vittorio Fusco, Giulia Gallizzi, Antonio Galvano, Antonio Gambardella, Angelo Gambi, Vittorio Gebbia, Erika Gervasi, Mara Ghilardi, Alice Giacobino, Giovanni Giardina, Francesco Giotta, Sara Giraudi, Mario Giuliano, Antonino Grassadonia, Donatella Grasso, Federica Grosso, Lorenzo Guizzaro, Pasquale Incoronato, Lorena Incorvaia, Giovanni Iodice, Nicla La Verde, Vincenzo Labonia, Gabriella Landi, Agnese Latorre, Vita Leonardi, Alessia Levaggi, Gennaro Limite, Linda Lina Bascialla, Lorenzo Livi, Evaristo Maiello, Daniela Mandelli, Ilaria Marcon, Daniela Menon, Michele Montedoro, Lucia Moraca, Anna Moretti, Maria Grazia Morritti, Patrizia Morselli, Antonella Mura, Silvia Mura, Michela Musacchio, Alberto Muzio, Donato Natale, Clara Natoli, Cinzia Nigro, Cecilia Nisticò, Antonio Nuzzo, Michele Orditura, Laura Orlando, Carmen Pacilio, Giuliano Palumbo, Raffaella Palumbo, Felice Pasini, Emanuela Paterno, Antonio Pazzola, Silvia Pelliccioni, Matilde Pensabene, Davide Perroni, Angela Pesenti Gritti, Fausto Petrelli, Maria Carmela Piccirillo, Graziella Pinotti, Claudia Pogliani, Davide Poli, Sonia Prader, Francesco Recchia, Daniele Rizzi, Carmen Romano, Rosalba Rossello, Chiara Rossini, Giuseppina Salvucci, Valeria Sanna, Alessandra Santini, Silvana Saracchini, Clementina Savastano, Giovanni Scambia, Francesco Schettini, Paola Schiavone, Alessio Schirone, Elena Seles, Simona Signoriello, Giuseppe Signoriello, Rosa Rita Silva, Antonia Silvestri, Vittorio Simeon, Ilaria Spagnoletti, Stefano Tamberi, Cristina Teragni, Verena Thalmann, Renato Thomas, Guglielmo Thomas, Amelia Tienghi, Nicola Tinari, Vincenza Tinessa, Federica Tomei, Giuseppe Tonini, Valter Torri, Divina Traficante, Marianna Tudini, Monica Turazza, Roberto Vignoli, Maria Giuseppa Vitale, Alessandra Zacchia, Pasquale Zagarese, Alda Zanni, Laura Zavallone, Maria Zavettieri, Alessandra Zoboli, De Placido, S., Gallo, C., De Laurentiis, M., Bisagni, G., Arpino, G., Sarobba, M. G., Riccardi, F., Russo, A., Del Mastro, L., Cogoni, A. A., Cognetti, F., Gori, S., Foglietta, J., Frassoldati, A., Amoroso, D., Laudadio, L., Moscetti, L., Montemurro, F., Verusio, C., Bernardo, A., Lorusso, V., Gravina, A., Moretti, G., Lauria, R., Lai, A., Mocerino, C., Rizzo, S., Nuzzo, F., Carlini, P., Perrone, F., Accurso, A., Agostara, B., Aieta, M., Alabiso, O., Alicicco, M. G., Amadori, D., Amaducci, L., Amiconi, G., Antuzzi, G., Ardine, M., Ardizzoia, A., Aversa, C., Badalamenti, G., Barni, S., Basurto, C., Berardi, R., Bergamasco, C., Bidoli, P., Bighin, C., Biondi, E., Boni, C., Borgonovo, K., Botta, M., Bravi, S., Bruzzi, P., Buono, G., Butera, A., Caldara, A., Candeloro, G., Cappelletti, C., Cardalesi, C., Carfora, E., Cariello, A., Carrozza, F., Carteni, G., Caruso, M., Casadei, V., Casanova, C., Castori, L., Cavanna, L., Cavazzini, G., Cazzaniga, M., Chilelli, M., Chiodini, P., Chiorrini, S., Ciardiello, F., Ciccarese, M., Cinieri, S., Clerico, M., Coccaro, M., Comande, M., Corbo, C., Cortino, G., Cusenza, S., Daniele, G., D'Arco, A. M., D'Auria, G., Dazzi, C., De Angelis, C., de Braud, F., De Feo, G., De Matteis, Ma., De Tursi, M., Di Blasio, A., di Lucca, G., Di Lullo, L., Di Rella, F., Di Renzo, G., Di Stefano, P., Di Stefano, A., Diana, A., Donati, S., Fabbri, A., Fabi, A., Faedi, M., Farina, G., Farris, A., Febbraro, A., Fedele, P., Federico, P., Ferrau, F., Ferretti, G., Ferro, A., Floriani, I., Forcignano, R., Forciniti, S., Forestieri, V., Fornari, G., Frisinghelli, M., Fusco, V., Gallizzi, G., Galvano, A., Gambardella, A., Gambi, A., Gebbia, V., Gervasi, E., Ghilardi, M., Giacobino, A., Giardina, G., Giotta, F., Giraudi, S., Giuliano, M., Grassadonia, A., Grasso, D., Grosso, F., Guizzaro, L., Incoronato, P., Incorvaia, L., Iodice, G., La Verde, N., Labonia, V., Landi, G., Latorre, A., Leonardi, V., Levaggi, A., Limite, G., Lina Bascialla, L., Livi, L., Maiello, E., Mandelli, D., Marcon, I., Menon, D., Montedoro, M., Moraca, L., Moretti, A., Morritti, M. G., Morselli, P., Mura, A., Mura, S., Musacchio, M., Muzio, A., Natale, D., Natoli, C., Nigro, C., Nistico, C., Nuzzo, A., Orditura, M., Orlando, L., Pacilio, C., Palumbo, G., Palumbo, R., Pasini, F., Paterno, E., Pazzola, A., Pelliccioni, S., Pensabene, M., Perroni, D., Pesenti Gritti, A., Petrelli, F., Piccirillo, M. C., Pinotti, G., Pogliani, C., Poli, D., Prader, S., Recchia, F., Rizzi, D., Romano, C., Rossello, R., Rossini, C., Salvucci, G., Sanna, V., Santini, A., Saracchini, S., Savastano, C., Scambia, G., Schettini, F., Schiavone, P., Schirone, A., Seles, E., Signoriello, S., Signoriello, G., Silva, R. R., Silvestri, A., Simeon, V., Spagnoletti, I., Tamberi, S., Teragni, C., Thalmann, V., Thomas, R., Thomas, G., Tienghi, A., Tinari, N., Tinessa, V., Tomei, F., Tonini, G., Torri, V., Traficante, D., Tudini, M., Turazza, M., Vignoli, R., Vitale, M. G., Zacchia, A., Zagarese, P., Zanni, A., Zavallone, L., Zavettieri, M., Zoboli, A., De Placido, Sabino, Gallo, Ciro, De Laurentiis, Michelino, Bisagni, Giancarlo, Arpino, Grazia, Sarobba, Maria Giuseppa, Riccardi, Ferdinando, Russo, Antonio, Del Mastro, Lucia, Cogoni, Alessio Aligi, Cognetti, Francesco, Gori, Stefania, Foglietta, Jennifer, Frassoldati, Antonio, Amoroso, Domenico, Laudadio, Lucio, Moscetti, Luca, Montemurro, Filippo, Verusio, Claudio, Bernardo, Antonio, Lorusso, Vito, Gravina, Adriano, Moretti, Gabriella, Lauria, Rossella, Lai, Antonella, Mocerino, Carmen, Rizzo, Sergio, Nuzzo, Francesco, Carlini, Paolo, Perrone, Francesco, Accurso, Antonello, Agostara, Biagio, Aieta, Michele, Alabiso, Oscar, Alicicco, Maria Grazia, Amadori, Dino, Amaducci, Laura, Amiconi, Gianna, Antuzzi, Giustino, Ardine, Mara, Ardizzoia, Antonio, Aversa, Caterina, Badalamenti, Giuseppe, Barni, Sandro, Basurto, Carlo, Berardi, Rossana, Bergamasco, Cinzia, Bidoli, Paolo, Bighin, Claudia, Biondi, Edoardo, Boni, Corrado, Borgonovo, Karen, Botta, Mario, Bravi, Stefano, Bruzzi, Paolo, Buono, Giuseppe, Butera, Alfredo, Caldara, Alessia, Candeloro, Giampiero, Cappelletti, Claudia, Cardalesi, Cinzia, Carfora, Elisabetta, Cariello, Anna, Carrozza, Francesco, Cartenì, Giacomo, Caruso, Michele, Casadei, Virginia, Casanova, Claudia, Castori, Luigi, Cavanna, Luigi, Cavazzini, Giovanna, Cazzaniga, Marina, Chilelli, Mario, Chiodini, Paolo, Chiorrini, Silvia, Ciardiello, Fortunato, Ciccarese, Mariangela, Cinieri, Saverio, Clerico, Mario, Coccaro, Mariarosa, Comande, Mario, Corbo, Claudia, Cortino, Giuseppina, Cusenza, Stefania, Daniele, Gennaro, D'arco, Alfonso Maria, D'auria, Giuliana, Dazzi, Claudio, De Angelis, Carmine, de Braud, Filippo, De Feo, Gianfranco, De Matteis, Andrea, De Tursi, Michele, Di Blasio, Anna, di Lucca, Giuseppe, Di Lullo, Liberato, Di Rella, Francesca, Di Renzo, Gianfranco, Di Stefano, Pia, Di Stefano, Aida, Diana, Anna, Donati, Sara, Fabbri, Agnese, Fabi, Alessandra, Faedi, Marina, Farina, Gabriella, Farris, Antonio, Febbraro, Antonio, Fedele, Palma, Federico, Piera, Ferraù, Francesco, Ferretti, Gianluigi, Ferro, Antonella, Floriani, Irene, Forcignanò, Rosachiara, Forciniti, Samantha, Forestieri, Valeria, Fornari, Gianni, Frisinghelli, Michela, Fusco, Vittorio, Gallizzi, Giulia, Galvano, Antonio, Gambardella, Antonio, Gambi, Angelo, Gebbia, Vittorio, Gervasi, Erika, Ghilardi, Mara, Giacobino, Alice, Giardina, Giovanni, Giotta, Francesco, Giraudi, Sara, Giuliano, Mario, Grassadonia, Antonino, Grasso, Donatella, Grosso, Federica, Guizzaro, Lorenzo, Incoronato, Pasquale, Incorvaia, Lorena, Iodice, Giovanni, La Verde, Nicla, Labonia, Vincenzo, Landi, Gabriella, Latorre, Agnese, Leonardi, Vita, Levaggi, Alessia, Limite, Gennaro, Lina Bascialla, Linda, Livi, Lorenzo, Maiello, Evaristo, Mandelli, Daniela, Marcon, Ilaria, Menon, Daniela, Montedoro, Michele, Moraca, Lucia, Moretti, Anna, Morritti, Maria Grazia, Morselli, Patrizia, Mura, Antonella, Mura, Silvia, Musacchio, Michela, Muzio, Alberto, Natale, Donato, Natoli, Clara, Nigro, Cinzia, Nisticò, Cecilia, Nuzzo, Antonio, Orditura, Michele, Orlando, Laura, Pacilio, Carmen, Palumbo, Giuliano, Palumbo, Raffaella, Pasini, Felice, Paterno, Emanuela, Pazzola, Antonio, Pelliccioni, Silvia, Pensabene, Matilde, Perroni, Davide, Pesenti Gritti, Angela, Petrelli, Fausto, Piccirillo, Maria Carmela, Pinotti, Graziella, Pogliani, Claudia, Poli, Davide, Prader, Sonia, Recchia, Francesco, Rizzi, Daniele, Romano, Carmen, Rossello, Rosalba, Rossini, Chiara, Salvucci, Giuseppina, Sanna, Valeria, Santini, Alessandra, Saracchini, Silvana, Savastano, Clementina, Scambia, Giovanni, Schettini, Francesco, Schiavone, Paola, Schirone, Alessio, Seles, Elena, Signoriello, Simona, Signoriello, Giuseppe, Silva, Rosa Rita, Silvestri, Antonia, Simeon, Vittorio, Spagnoletti, Ilaria, Tamberi, Stefano, Teragni, Cristina, Thalmann, Verena, Thomas, Renato, Thomas, Guglielmo, Tienghi, Amelia, Tinari, Nicola, Tinessa, Vincenza, Tomei, Federica, Tonini, Giuseppe, Torri, Valter, Traficante, Divina, Tudini, Marianna, Turazza, Monica, Vignoli, Roberto, Vitale, Maria Giuseppa, Zacchia, Alessandra, Zagarese, Pasquale, Zanni, Alda, Zavallone, Laura, Zavettieri, Maria, Zoboli, Alessandra, Mocerino, Carmela, D'Arco, Alfonso Maria, D'Auria, Giuliana, De Placido, S, Gallo, C, De Laurentiis, M, Bisagni, G, Arpino, G, Sarobba, M, Riccardi, F, Russo, A, Del Mastro, L, Cogoni, A, Cognetti, F, Gori, S, Foglietta, J, Frassoldati, A, Amoroso, D, Laudadio, L, Moscetti, L, Montemurro, F, Verusio, C, Bernardo, A, Lorusso, V, Gravina, A, Moretti, G, Lauria, R, Lai, A, Mocerino, C, Rizzo, S, Nuzzo, F, Carlini, P, Perrone, F, Accurso, A, Agostara, B, Aieta, M, Alabiso, O, Alicicco, M, Amadori, D, Amaducci, L, Amiconi, G, Antuzzi, G, Ardine, M, Ardizzoia, A, Aversa, C, Badalamenti, G, Barni, S, Basurto, C, Berardi, R, Bergamasco, C, Bidoli, P, Bighin, C, Biondi, E, Boni, C, Borgonovo, K, Botta, M, Bravi, S, Bruzzi, P, Buono, G, Butera, A, Caldara, A, Candeloro, G, Cappelletti, C, Cardalesi, C, Carfora, E, Cariello, A, Carrozza, F, Carteni, G, Caruso, M, Casadei, V, Casanova, C, Castori, L, Cavanna, L, Cavazzini, G, Cazzaniga, M, Chilelli, M, Chiodini, P, Chiorrini, S, Ciardiello, F, Ciccarese, M, Cinieri, S, Clerico, M, Coccaro, M, Comande, M, Corbo, C, Cortino, G, Cusenza, S, Daniele, G, D'Arco, A, D'Auria, G, Dazzi, C, De Angelis, C, de Braud, F, De Feo, G, De Matteis, A, De Tursi, M, Di Blasio, A, di Lucca, G, Di Lullo, L, Di Rella, F, Di Renzo, G, Di Stefano, P, Di Stefano, A, Diana, A, Donati, S, Fabbri, A, Fabi, A, Faedi, M, Farina, G, Farris, A, Febbraro, A, Fedele, P, Federico, P, Ferrau, F, Ferretti, G, Ferro, A, Floriani, I, Forcignano, R, Forciniti, S, Forestieri, V, Fornari, G, Frisinghelli, M, Fusco, V, Gallizzi, G, Galvano, A, Gambardella, A, Gambi, A, Gebbia, V, Gervasi, E, Ghilardi, M, Giacobino, A, Giardina, G, Giotta, F, Giraudi, S, Giuliano, M, Grassadonia, A, Grasso, D, Grosso, F, Guizzaro, L, Incoronato, P, Incorvaia, L, Iodice, G, La Verde, N, Labonia, V, Landi, G, Latorre, A, Leonardi, V, Levaggi, A, Limite, G, Lina Bascialla, L, Livi, L, Maiello, E, Mandelli, D, Marcon, I, Menon, D, Montedoro, M, Moraca, L, Moretti, A, Morritti, M, Morselli, P, Mura, A, Mura, S, Musacchio, M, Muzio, A, Natale, D, Natoli, C, Nigro, C, Nistico, C, Nuzzo, A, Orditura, M, Orlando, L, Pacilio, C, Palumbo, G, Palumbo, R, Pasini, F, Paterno, E, Pazzola, A, Pelliccioni, S, Pensabene, M, Perroni, D, Pesenti Gritti, A, Petrelli, F, Piccirillo, M, Pinotti, G, Pogliani, C, Poli, D, Prader, S, Recchia, F, Rizzi, D, Romano, C, Rossello, R, Rossini, C, Salvucci, G, Sanna, V, Santini, A, Saracchini, S, Savastano, C, Scambia, G, Schettini, F, Schiavone, P, Schirone, A, Seles, E, Signoriello, S, Signoriello, G, Silva, R, Silvestri, A, Simeon, V, Spagnoletti, I, Tamberi, S, Teragni, C, Thalmann, V, Thomas, R, Thomas, G, Tienghi, A, Tinari, N, Tinessa, V, Tomei, F, Tonini, G, Torri, V, Traficante, D, Tudini, M, Turazza, M, Vignoli, R, Vitale, M, Zacchia, A, Zagarese, P, Zanni, A, Zavallone, L, Zavettieri, M, and Zoboli, A
- Subjects
Oncology ,Receptor, ErbB-2 ,Settore MED/06 - Oncologia Medica ,letrozole ,law.invention ,Adjuvant anastrozole ,chemistry.chemical_compound ,0302 clinical medicine ,Randomized controlled trial ,Exemestane ,law ,exemestane ,tamoxifen ,breast cancer ,Antineoplastic Combined Chemotherapy Protocols ,030212 general & internal medicine ,Aromatase Inhibitors ,Letrozole ,Hazard ratio ,Middle Aged ,Receptors, Estrogen ,Tolerability ,Chemotherapy, Adjuvant ,030220 oncology & carcinogenesis ,Female ,Receptors, Progesterone ,Breast Neoplasm ,Human ,medicine.drug ,medicine.medical_specialty ,Socio-culturale ,Anastrozole ,Breast Neoplasms ,Disease-Free Survival ,Drug Administration Schedule ,03 medical and health sciences ,Breast cancer ,Internal medicine ,medicine ,Aromatase Inhibitor ,Humans ,Aged ,Antineoplastic Combined Chemotherapy Protocol ,Androstadiene ,business.industry ,medicine.disease ,Androstadienes ,chemistry ,business ,Tamoxifen - Abstract
Background: Uncertainty exists about the optimal schedule of adjuvant treatment of breast cancer with aromatase inhibitors and, to our knowledge, no trial has directly compared the three aromatase inhibitors anastrozole, exemestane, and letrozole. We investigated the schedule and type of aromatase inhibitors to be used as adjuvant treatment for hormone receptor-positive early breast cancer. Methods: FATA-GIM3 is a multicentre, open-label, randomised, phase 3 trial of six different treatments in postmenopausal women with hormone receptor-positive early breast cancer. Eligible patients had histologically confirmed invasive hormone receptor-positive breast cancer that had been completely removed by surgery, any pathological tumour size, and axillary nodal status. Key exclusion criteria were hormone replacement therapy, recurrent or metastatic disease, previous treatment with tamoxifen, and another malignancy in the previous 10 years. Patients were randomly assigned in an equal ratio to one of six treatment groups: oral anastrozole (1 mg per day), exemestane (25 mg per day), or letrozole (2·5 mg per day) tablets upfront for 5 years (upfront strategy) or oral tamoxifen (20 mg per day) for 2 years followed by oral administration of one of the three aromatase inhibitors for 3 years (switch strategy). Randomisation was done by a computerised minimisation procedure stratified for oestrogen receptor, progesterone receptor, and HER2 status; previous chemotherapy; and pathological nodal status. Neither the patients nor the physicians were masked to treatment allocation. The primary endpoint was disease-free survival. The minimum cutoff to declare superiority of the upfront strategy over the switch strategy was assumed to be a 2% difference in disease-free survival at 5 years. Primary efficacy analyses were done by intention to treat; safety analyses included all patients for whom at least one safety case report form had been completed. Follow-up is ongoing. This trial is registered with the European Clinical Trials Database, number 2006-004018-42, and ClinicalTrials.gov, number NCT00541086. Findings: Between March 9, 2007, and July 31, 2012, 3697 patients were enrolled into the study. After a median follow-up of 60 months (IQR 46â72), 401 disease-free survival events were reported, including 211 (11%) of 1850 patients allocated to the switch strategy and 190 (10%) of 1847 patients allocated to upfront treatment. 5-year disease-free survival was 88·5% (95% CI 86·7â90·0) with the switch strategy and 89·8% (88·2â91·2) with upfront treatment (hazard ratio 0·89, 95% CI 0·73â1·08; p=0·23). 5-year disease-free survival was 90·0% (95% CI 87·9â91·7) with anastrozole (124 events), 88·0% (85·8â89·9) with exemestane (148 events), and 89·4% (87·3 to 91·1) with letrozole (129 events; p=0·24). No unexpected serious adverse reactions or treatment-related deaths occurred. Musculoskeletal side-effects were the most frequent grade 3â4 events, reported in 130 (7%) of 1761 patients who received the switch strategy and 128 (7%) of 1766 patients who received upfront treatment. Grade 1 musculoskeletal events were more frequent with the upfront schedule than with the switch schedule (924 [52%] of 1766 patients vs 745 [42%] of 1761 patients). All other grade 3â4 adverse events occurred in less than 2% of patients in either group. Interpretation: 5 years of treatment with aromatase inhibitors was not superior to 2 years of tamoxifen followed by 3 years of aromatase inhibitors. None of the three aromatase inhibitors was superior to the others in terms of efficacy. Therefore, patient preference, tolerability, and financial constraints should be considered when deciding the optimal treatment approach in this setting. Funding: Italian Drug Agency.
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- 2018
6. Predictive markers in elderly patients with estrogen receptor-positive breast cancer treated with aromatase inhibitors: an array-based pharmacogenetic study
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F Pasini, Selma Ahcene-Djaballah, Daniela Menon, Lucia Borgato, Milena Gusella, Alberto Amadori, Enrica Rumiato, Daniela Saggioro, Antonella Brunello, and Vittorina Zagonel
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0301 basic medicine ,Time Factors ,Pharmacogenomic Variants ,Organic Anion Transporters ,Estrogen receptor ,Bioinformatics ,Pharmacogenetic Study ,0302 clinical medicine ,Risk Factors ,Glucuronosyltransferase ,Precision Medicine ,Aromatase ,ATP Binding Cassette Transporter, Subfamily G, Member 1 ,Oligonucleotide Array Sequence Analysis ,Aged, 80 and over ,biology ,Aromatase Inhibitors ,Age Factors ,Middle Aged ,Phenotype ,Treatment Outcome ,Italy ,Receptors, Estrogen ,030220 oncology & carcinogenesis ,Predictive value of tests ,Molecular Medicine ,Female ,Multidrug Resistance-Associated Proteins ,Antineoplastic Agents, Hormonal ,Breast Neoplasms ,Risk Assessment ,03 medical and health sciences ,Breast cancer ,Predictive Value of Tests ,Biomarkers, Tumor ,Genetics ,medicine ,Humans ,Aged ,Pharmacology ,Gene Expression Profiling ,Haplotype ,medicine.disease ,Pharmacogenomic Testing ,030104 developmental biology ,Haplotypes ,Pharmacogenetics ,biology.protein - Abstract
So far, no reliable predictive clinicopathological markers of response to aromatase inhibitors (AIs) have been identified, and little is known regarding the role played by host genetics. To identify constitutive predictive markers, an array-based association study was performed in a cohort of 55 elderly hormone-dependent breast cancer (BC) patients treated with third-generation AIs. The array used in this study interrogates variants in 225 drug metabolism and disposition genes with documented functional significance. Six variants emerged as associated with response to AIs: three located in ABCG1, UGT2A1, SLCO3A1 with a good response, two in SLCO3A1 and one in ABCC4 with a poor response. Variants in the AI target CYP19A1 resulted associated with a favourable response only as haplotype; haplotypes with increased response association were also detected for ABCG1 and SLCO3A1. These results highlight the relevance of host genetics in the response to AIs and represent a first step toward precision medicine for elderly BC patients.
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- 2015
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7. Equilibrative nucleoside transporter 1 genotype, cytidine deaminase activity and age predict gemcitabine plasma clearance in patients with solid tumours
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A. Bononi, Milena Gusella, Carmen Barile, C Bolzonella, Laura Stievano, Giorgio Crepaldi, Daniela Menon, Silvia Toso, Roberto Padrini, Yasmina Modena, Silvia Meneghetti, and Felice Pasini
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Pharmacology ,Cytidine deaminase activity ,biology ,Cytidine deaminase ,Deoxycytidine kinase ,Nucleoside transporter ,Equilibrative nucleoside transporter 1 ,Molecular biology ,Gemcitabine ,chemistry.chemical_compound ,chemistry ,Biochemistry ,biology.protein ,medicine ,Pharmacology (medical) ,Deoxycytidine ,Nucleoside ,medicine.drug - Abstract
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Gemcitacine is taken up by the cell through various nucleoside transporters of either the concentrative (CNT) or equilibrative type (ENT) and is then transformed into the inactive metabolite, dFdU, by cytidine deaminase (CDA) and into the active metabolite, dFdCMP, by deoxycytidine kinase (dCK). • While the major contribution of CDA to gemcitabine elimination is well recognized no data about the role of CNT and ENT activities have yet been reported. Both nucleoside transporters exhibit genetic polymorphisms characterized by different expression levels or nucleoside affinity. WHAT THIS STUDY ADDS • The plasma clearance (CL) of gemcitabine has been determined following the standard 30 min infusion of 1000–1250 mg m−2. The in vivo CDA activity was measured as end of infusion metabolic ratio (MR = dFdU : gembitabine) and the variant hCNT-1 and hENT-1 alleles were genotyped. • Our results confirmed that gemcitabine CL is directly correlated with CDA activity and inversely correlated with age and, for the first time, show that patients heterozygous for the –706 G > C hENT-1 mutation have a lower CL as compared with wild type patients. AIM Gemcitabine (GEM) enters normal and tumour cells via concentrative (CNT) and equilibrative nucleoside transporters (ENT) and is subsequently deaminated to the inactive difluorodeoxyurine (dFdU) by cytidine deaminase (CDA). The aim of our study was to ascertain whether the nucleoside transporter genotype and the CDA activity phenotype can predict total GEM plasma clearance. METHODS Forty-seven patients received GEM 1000–1250 mg m−2 i.v. over 30 min. Plasma concentrations of GEM and dFdU were measured and individual pharmacokinetic profiles were determined. CDA activity was measured ex vivo in plasma samples. The two most common hENT1 and hCNT1 polymorphisms were determined from genomic DNA. RESULTS Multivariate analysis revealed that GEM plasma clearance (CL) was positively correlated with the end of infusion dFdU : GEM ratio (P < 0.0001), which is a marker of in vivo CDA activity. The ENT1 genotype characterized by high transport capacity (G/G) and age were inversely correlated with CL (P= 0.027 and 0.048, respectively). A strong correlation was found between end of infusion GEM concentration and area under the concentration–time curve from time 0 to infinity (AUC(0,∞)) (r2= 0.77). CONCLUSIONS Our results confirm the role of CDA and age on the interindividual variability of GEM CL and show the contribution of the hENT1 genotype for the first time.
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- 2011
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8. Predictive value of hematological and phenotypical parameters on postchemotherapy leukocyte recovery
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L. Stievano, A. Russo, Giuseppe Gilli, Vincenzo Abbasciano, Luisa Ferrari, Silvia Toso, Diana Campioni, Milena Gusella, Carmen Barile, Felice Pasini, Francesco Lanza, A. Bononi, E. Ferrazzi, F. Albertini, Daniela Menon, and Giorgio Crepaldi
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Adult ,Male ,medicine.medical_specialty ,Histology ,Filgrastim ,medicine.medical_treatment ,Cell Separation ,Neutropenia ,Gastroenterology ,Immunophenotyping ,NO ,Pathology and Forensic Medicine ,Leukocyte Count ,Neoplasms ,Internal medicine ,Granulocyte Colony-Stimulating Factor ,Biomarkers, Tumor ,Leukocytes ,medicine ,Humans ,Clinical significance ,CD34 ,mobilization ,hematological patients ,flow cytometry ,Aged ,Chemotherapy ,business.industry ,Cell Biology ,Middle Aged ,medicine.disease ,Recombinant Proteins ,Immunology ,Toxicity ,Absolute neutrophil count ,Female ,business ,Cytometry ,Nadir (topography) ,medicine.drug - Abstract
Background: Grade IV chemotherapy toxicity is defined as absolute neutrophil count 10; median 27.7), characterized a slow hematological recovery. MPXI levels were directly related to the cycle number and inversely related to the absolute number of LUCs and CD34+/CD45+ cells. A faster hematological recovery was associated with a higher LUC increase per day (0.56% vs. 0.25%), higher blast (median 36.7/μL vs. 19.5/μL) and CD34+/CD45+ cell (median 2.2/μL vs. 0.82/μL) counts. Conclusions: Our study showed that some biological indicators such as MPXI, LUCs, blasts, and CD34+/CD45+ cells may be of clinical relevance in predicting individual hematological response to rHu-G-CSF. Special attention should be paid when nadir MPXI exceeds the upper limit of normality because the hematological recovery may be delayed. © 2009 Clinical Cytometry Society
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- 2009
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9. Predictors of survival and toxicity in patients on adjuvant therapy with 5-fluorouracil for colorectal cancer
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A. Bononi, Daniela Menon, Roberto Padrini, Silvia Toso, L. Stievano, Anna Chiara Frigo, Milena Gusella, Felice Pasini, C Bolzonella, Giorgio Crepaldi, Carmen Barile, E. Ferrazzi, and R. Marinelli
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Oncology ,Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Antimetabolites, Antineoplastic ,Drug-Related Side Effects and Adverse Reactions ,Genotype ,Colorectal cancer ,pharmacogenetics ,Leucovorin ,colorectal cancer ,Polymorphism, Single Nucleotide ,fluorouracil ,Internal medicine ,Clinical Studies ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Adjuvant therapy ,Humans ,Survival analysis ,Methylenetetrahydrofolate Reductase (NADPH2) ,Aged ,Aged, 80 and over ,biology ,business.industry ,Carcinoma ,Cancer ,adjuvant therapy ,Thymidylate Synthase ,Middle Aged ,medicine.disease ,Prognosis ,Survival Analysis ,Fluorouracil ,Chemotherapy, Adjuvant ,Drug Resistance, Neoplasm ,Methylenetetrahydrofolate reductase ,Immunology ,Toxicity ,biology.protein ,Female ,Liver cancer ,business ,Colorectal Neoplasms ,pharmacokinetics ,medicine.drug - Abstract
The present study aimed at investigating whether the simultaneous evaluation of pharmacokinetic, pharmacogenetic and demographic factors could improve prediction on toxicity and survival in colorectal cancer patients treated with adjuvant 5-fluorouracil (5FU)/leucovorin therapy. One hundred and thirty consecutive, B2 and C Duke's stage colorectal cancer patients were prospectively enrolled. 5FU pharmacokinetics was evaluated at the first cycle. Thymidylate synthase (TYMS) 5′UTR and 3′UTR polymorphisms and methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms were assessed in peripheral leukocytes. Univariate and multivariate analyses were applied to evaluate which variables could predict chemotherapy-induced toxicity, disease-free survival (DFS) and overall survival (OS). Multivariate analysis showed that: (a) low 5FU clearance was an independent predictive factor for severe toxicity (OR=7.32; P
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- 2009
10. Pharmacokinetic and demographic markers of 5-fluorouracil toxicity in 181 patients on adjuvant therapy for colorectal cancer
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Silvia Toso, Roberto Padrini, Giorgio Crepaldi, Daniela Menon, Carmen Barile, L. Stievano, Mariano Ferrari, Milena Gusella, Francesco Grigoletto, A. Bononi, E. Ferrazzi, and D Scapoli
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Adult ,Male ,Antimetabolites, Antineoplastic ,medicine.medical_specialty ,Colorectal cancer ,medicine.medical_treatment ,Gastroenterology ,Pharmacokinetics ,Internal medicine ,medicine ,Adjuvant therapy ,Humans ,Aged ,Demography ,Aged, 80 and over ,Chemotherapy ,business.industry ,Area under the curve ,Hematology ,Middle Aged ,medicine.disease ,Surgery ,Oncology ,Chemotherapy, Adjuvant ,Fluorouracil ,Area Under Curve ,Toxicity ,Population study ,Female ,Colorectal Neoplasms ,business ,medicine.drug - Abstract
BACKGROUND The relationship between 5-fluorouracil (5-FU) pharmacokinetics and toxicity following i.v. bolus administration has not been extensively studied. PATIENTS AND METHODS One hundred and eighty-one patients on adjuvant therapy with 5-FU plus leucovorin for colorectal cancer were the study population. 5-FU pharmacokinetics was determined on day 2 of the first, third, and fifth cycles; type and the grade of adverse reactions were recorded on the next cycle. RESULTS The 5-FU area under the curve (AUC) measured at the first cycle ranged between 146 and 1236 mg x min/l and was significantly correlated with drug dose, patients' body weight (BW) and gender, females having higher AUCs. These covariates explained only 23% of AUC variability. AUC and age were the only covariates which discriminated between toxic (grade > or =2) and nontoxic cycles (grade
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- 2006
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11. Increased myeloperoxidase index and large unstained cell values can predict the neutropenia phase of cancer patients treated with standard dose chemotherapy
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Milena Gusella, Silvia Toso, Bruno Marenda, Vincenzo Abbasciano, Giorgio Crepaldi, A. Bononi, Francesco Lanza, Daniela Menon, Melissa Dabusti, E. Ferrazzi, and Giuseppe Gilli
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Male ,Bayer counter ,medicine.medical_treatment ,Lymphocyte ,chemotherapy ,Gastroenterology ,Leukocyte Count ,Endocrinology ,Reference Values ,Neoplasms ,Leukocytes ,medicine.diagnostic_test ,Hematology ,Middle Aged ,solid tumors ,MPXI ,neutropenia phase ,medicine.anatomical_structure ,nadir ,Female ,Nadir (topography) ,Adult ,medicine.medical_specialty ,Neutropenia ,large unstained cells (LUCs) ,Biophysics ,Antineoplastic Agents ,AutoAnalyzer ,Immunophenotyping ,NO ,Pathology and Forensic Medicine ,Flow cytometry ,Antigens, CD ,Internal medicine ,Linear regression ,medicine ,Humans ,Aged ,Peroxidase ,Chemotherapy ,lymphocyte subsets ,business.industry ,flow cytometry ,hematology analyzer ,hematology analyzer, Bayer counter, flow cytometry, lymphocyte subsets, large unstained cells (LUCs) ,Cell Biology ,medicine.disease ,Immunology ,Linear Models ,business ,Cytometry - Abstract
Objective: The objective of this study was to better understand neutropenia induced by standard dose chemotherapy and to verify if there are any hematological parameters for defining the phase and possibly the duration of neutropenia. Methods: The kinetics of large unstained cells (LUCs) and lymphocytes was evaluated in 324 blood counts of 56 chemotherapy cycles through the use of a Technicon H2 or an ADVIA 120 hematology analyzer. Blood samples collected during the neutropenia phase were also studied by flow cytometry using a large panel of monoclonal antibodies. Parametric and nonparametric statistics were employed to compare the different variables analyzed. A linear regression between each variable before and after nadir and a simple linear correlation among the same variables in the neutropenic and recovery phase were performed. Results: The percentage of LUCs reaches the higher value at nadir and the difference between the mean value of prenadir and nadir is statistically significant (P
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- 2001
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12. Oral metronomic Vinorelbine (OMV) in elderly pts with advanced NSCLC: pharmacokinetics and clinical outcome
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A. Bononi, F Pasini, Donatella Caruso, S. Ortolani, Milena Gusella, F. La Russa, E. Pezzolo, Giuseppe Corona, Carmen Barile, Giorgio Crepaldi, Roberto Padrini, Yasmina Modena, Roberto Spezzano, Anna Paola Fraccon, and Daniela Menon
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Oncology ,medicine.medical_specialty ,Pharmacokinetics ,business.industry ,Internal medicine ,medicine ,Hematology ,Vinorelbine ,business ,Outcome (game theory) ,medicine.drug - Published
- 2016
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13. Equilibrative nucleoside transporter 1 genotype, cytidine deaminase activity and age predict gemcitabine plasma clearance in patients with solid tumours
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Milena, Gusella, Felice, Pasini, Caterina, Bolzonella, Silvia, Meneghetti, Carmen, Barile, Antonio, Bononi, Silvia, Toso, Daniela, Menon, Giorgio, Crepaldi, Yasmina, Modena, Laura, Stievano, and Roberto, Padrini
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Aged, 80 and over ,Male ,Antimetabolites, Antineoplastic ,Polymorphism, Genetic ,Genotype ,Age Factors ,Middle Aged ,Deoxycytidine ,Gemcitabine ,White People ,Equilibrative Nucleoside Transporter 1 ,Pharmacogenetics ,Cytidine Deaminase ,Neoplasms ,Multivariate Analysis ,Humans ,Female ,Aged - Abstract
Gemcitabine (GEM) enters normal and tumour cells via concentrative (CNT) and equilibrative nucleoside transporters (ENT) and is subsequently deaminated to the inactive difluorodeoxyurine (dFdU) by cytidine deaminase (CDA). The aim of our study was to ascertain whether the nucleoside transporter genotype and the CDA activity phenotype can predict total GEM plasma clearance.Forty-seven patients received GEM 1000-1250mgm(-2) i.v. over 30min. Plasma concentrations of GEM and dFdU were measured and individual pharmacokinetic profiles were determined. CDA activity was measured ex vivo in plasma samples. The two most common hENT1 and hCNT1 polymorphisms were determined from genomic DNA.Multivariate analysis revealed that GEM plasma clearance (CL) was positively correlated with the end of infusion dFdU : GEM ratio (P0.0001), which is a marker of in vivo CDA activity. The ENT1 genotype characterized by high transport capacity (G/G) and age were inversely correlated with CL (P= 0.027 and 0.048, respectively). A strong correlation was found between end of infusion GEM concentration and area under the concentration-time curve from time 0 to infinity (AUC(0,∞)) (r(2) = 0.77).Our results confirm the role of CDA and age on the interindividual variability of GEM CL and show the contribution of the hENT1 genotype for the first time.
- Published
- 2011
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