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4 results on '"Novelli, Flavia"'

1. Apoptotic cell death in disease—Current understanding of the NCCD 2023

Author

Vitale, Ilio, Pietrocola, Federico, Guilbaud, Emma, Aaronson, Stuart A., Abrams, John M., Adam, Dieter, Agostini, Massimiliano, Agostinis, Patrizia, Alnemri, Emad S., Altucci, Lucia, Amelio, Ivano, Andrews, David W., Aqeilan, Rami I., Arama, Eli, Baehrecke, Eric H., Balachandran, Siddharth, Bano, Daniele, Barlev, Nickolai A., Bartek, Jiri, Bazan, Nicolas G., Becker, Christoph, Bernassola, Francesca, Bertrand, Mathieu J. M., Bianchi, Marco E., Blagosklonny, Mikhail V., Blander, J. Magarian, Blandino, Giovanni, Blomgren, Klas, Borner, Christoph, Bortner, Carl D., Bove, Pierluigi, Boya, Patricia, Brenner, Catherine, Broz, Petr, Brunner, Thomas, Damgaard, Rune Busk, Calin, George A., Campanella, Michelangelo, Candi, Eleonora, Carbone, Michele, Carmona-Gutierrez, Didac, Cecconi, Francesco, Chan, Francis K. -M., Chen, Guo-Qiang, Chen, Quan, Chen, Youhai H., Cheng, Emily H., Chipuk, Jerry E., Cidlowski, John A., Ciechanover, Aaron, Ciliberto, Gennaro, Conrad, Marcus, Cubillos-Ruiz, Juan R., Czabotar, Peter E., D’Angiolella, Vincenzo, Daugaard, Mads, Dawson, Ted M., Dawson, Valina L., De Maria, Ruggero, De Strooper, Bart, Debatin, Klaus-Michael, Deberardinis, Ralph J., Degterev, Alexei, Del Sal, Giannino, Deshmukh, Mohanish, Di Virgilio, Francesco, Diederich, Marc, Dixon, Scott J., Dynlacht, Brian D., El-Deiry, Wafik S., Elrod, John W., Engeland, Kurt, Fimia, Gian Maria, Galassi, Claudia, Ganini, Carlo, Garcia-Saez, Ana J., Garg, Abhishek D., Garrido, Carmen, Gavathiotis, Evripidis, Gerlic, Motti, Ghosh, Sourav, Green, Douglas R., Greene, Lloyd A., Gronemeyer, Hinrich, Häcker, Georg, Hajnóczky, György, Hardwick, J. Marie, Haupt, Ygal, He, Sudan, Heery, David M., Hengartner, Michael O., Hetz, Claudio, Hildeman, David A., Ichijo, Hidenori, Inoue, Satoshi, Jäättelä, Marja, Janic, Ana, Joseph, Bertrand, Jost, Philipp J., Kanneganti, Thirumala-Devi, Karin, Michael, Kashkar, Hamid, Kaufmann, Thomas, Kelly, Gemma L., Kepp, Oliver, Kimchi, Adi, Kitsis, Richard N., Klionsky, Daniel J., Kluck, Ruth, Krysko, Dmitri V., Kulms, Dagmar, Kumar, Sharad, Lavandero, Sergio, Lavrik, Inna N., Lemasters, John J., Liccardi, Gianmaria, Linkermann, Andreas, Lipton, Stuart A., Lockshin, Richard A., López-Otín, Carlos, Luedde, Tom, MacFarlane, Marion, Madeo, Frank, Malorni, Walter, Manic, Gwenola, Mantovani, Roberto, Marchi, Saverio, Marine, Jean-Christophe, Martin, Seamus J., Martinou, Jean-Claude, Mastroberardino, Pier G., Medema, Jan Paul, Mehlen, Patrick, Meier, Pascal, Melino, Gerry, Melino, Sonia, Miao, Edward A., Moll, Ute M., Muñoz-Pinedo, Cristina, Murphy, Daniel J., Niklison-Chirou, Maria Victoria, Novelli, Flavia, Núñez, Gabriel, Oberst, Andrew, Ofengeim, Dimitry, Opferman, Joseph T., Oren, Moshe, Pagano, Michele, Panaretakis, Theocharis, Pasparakis, Manolis, Penninger, Josef M., Pentimalli, Francesca, Pereira, David M., Pervaiz, Shazib, Peter, Marcus E., Pinton, Paolo, Porta, Giovanni, Prehn, Jochen H. M., Puthalakath, Hamsa, Rabinovich, Gabriel A., Rajalingam, Krishnaraj, Ravichandran, Kodi S., Rehm, Markus, Ricci, Jean-Ehrland, Rizzuto, Rosario, Robinson, Nirmal, Rodrigues, Cecilia M. P., Rotblat, Barak, Rothlin, Carla V., Rubinsztein, David C., Rudel, Thomas, Rufini, Alessandro, Ryan, Kevin M., Sarosiek, Kristopher A., Sawa, Akira, Sayan, Emre, Schroder, Kate, Scorrano, Luca, Sesti, Federico, Shao, Feng, Shi, Yufang, Sica, Giuseppe S., Silke, John, Simon, Hans-Uwe, Sistigu, Antonella, Stephanou, Anastasis, Stockwell, Brent R., Strapazzon, Flavie, Strasser, Andreas, Sun, Liming, Sun, Erwei, Sun, Qiang, Szabadkai, Gyorgy, Tait, Stephen W. G., Tang, Daolin, Tavernarakis, Nektarios, Troy, Carol M., Turk, Boris, Urbano, Nicoletta, Vandenabeele, Peter, Vanden Berghe, Tom, Vander Heiden, Matthew G., Vanderluit, Jacqueline L., Verkhratsky, Alexei, Villunger, Andreas, von Karstedt, Silvia, Voss, Anne K., Vousden, Karen H., Vucic, Domagoj, Vuri, Daniela, Wagner, Erwin F., Walczak, Henning, Wallach, David, Wang, Ruoning, Wang, Ying, Weber, Achim, Wood, Will, Yamazaki, Takahiro, Yang, Huang-Tian, Zakeri, Zahra, Zawacka-Pankau, Joanna E., Zhang, Lin, Zhang, Haibing, Zhivotovsky, Boris, Zhou, Wenzhao, Piacentini, Mauro, Kroemer, Guido, and Galluzzi, Lorenzo

Abstract

Apoptosis is a form of regulated cell death (RCD) that involves proteases of the caspase family. Pharmacological and genetic strategies that experimentally inhibit or delay apoptosis in mammalian systems have elucidated the key contribution of this process not only to (post-)embryonic development and adult tissue homeostasis, but also to the etiology of multiple human disorders. Consistent with this notion, while defects in the molecular machinery for apoptotic cell death impair organismal development and promote oncogenesis, the unwarranted activation of apoptosis promotes cell loss and tissue damage in the context of various neurological, cardiovascular, renal, hepatic, infectious, neoplastic and inflammatory conditions. Here, the Nomenclature Committee on Cell Death (NCCD) gathered to critically summarize an abundant pre-clinical literature mechanistically linking the core apoptotic apparatus to organismal homeostasis in the context of disease.

Published
2023
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2. Global mapping of cancers: The Cancer Genome Atlas and beyond.

Author

Ganini, Carlo, Amelio, Ivano, Bertolo, Riccardo, Bove, Pierluigi, Buonomo, Oreste Claudio, Candi, Eleonora, Cipriani, Chiara, Di Daniele, Nicola, Juhl, Hartmut, Mauriello, Alessandro, Marani, Carla, Marshall, John, Melino, Sonia, Marchetti, Paolo, Montanaro, Manuela, Natale, Maria Emanuela, Novelli, Flavia, Palmieri, Giampiero, Piacentini, Mauro, and Rendina, Erino Angelo

Abstract

Cancer genomes have been explored from the early 2000s through massive exome sequencing efforts, leading to the publication of The Cancer Genome Atlas in 2013. Sequencing techniques have been developed alongside this project and have allowed scientists to bypass the limitation of costs for whole‐genome sequencing (WGS) of single specimens by developing more accurate and extensive cancer sequencing projects, such as deep sequencing of whole genomes and transcriptomic analysis. The Pan‐Cancer Analysis of Whole Genomes recently published WGS data from more than 2600 human cancers together with almost 1200 related transcriptomes. The application of WGS on a large database allowed, for the first time in history, a global analysis of features such as molecular signatures, large structural variations and noncoding regions of the genome, as well as the evaluation of RNA alterations in the absence of underlying DNA mutations. The vast amount of data generated still needs to be thoroughly deciphered, and the advent of machine‐learning approaches will be the next step towards the generation of personalized approaches for cancer medicine. The present manuscript wants to give a broad perspective on some of the biological evidence derived from the largest sequencing attempts on human cancers so far, discussing advantages and limitations of this approach and its power in the era of machine learning. [ABSTRACT FROM AUTHOR]

Published
2021
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3. Tumour predisposition and cancer syndromes as models to study gene–environment interactions

Author

Carbone, Michele, Arron, Sarah T., Beutler, Bruce, Bononi, Angela, Cavenee, Webster, Cleaver, James E., Croce, Carlo M., D’Andrea, Alan, Foulkes, William D., Gaudino, Giovanni, Groden, Joanna L., Henske, Elizabeth P., Hickson, Ian D., Hwang, Paul M., Kolodner, Richard D., Mak, Tak W., Malkin, David, Monnat, Raymond J., Novelli, Flavia, Pass, Harvey I., Petrini, John H., Schmidt, Laura S., and Yang, Haining

Abstract

Cell division and organismal development are exquisitely orchestrated and regulated processes. The dysregulation of the molecular mechanisms underlying these processes may cause cancer, a consequence of cell-intrinsic and/or cell-extrinsic events. Cellular DNA can be damaged by spontaneous hydrolysis, reactive oxygen species, aberrant cellular metabolism or other perturbations that cause DNA damage. Moreover, several environmental factors may damage the DNA, alter cellular metabolism or affect the ability of cells to interact with their microenvironment. While some environmental factors are well established as carcinogens, there remains a large knowledge gap of others owing to the difficulty in identifying them because of the typically long interval between carcinogen exposure and cancer diagnosis. DNA damage increases in cells harbouring mutations that impair their ability to correctly repair the DNA. Tumour predisposition syndromes in which cancers arise at an accelerated rate and in different organs — the equivalent of a sensitized background — provide a unique opportunity to examine how gene–environment interactions influence cancer risk when the initiating genetic defect responsible for malignancy is known. Understanding the molecular processes that are altered by specific germline mutations, environmental exposures and related mechanisms that promote cancer will allow the design of novel and effective preventive and therapeutic strategies.

Published
2020
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4. A divergent role for estrogen receptor-beta in node-positive and node-negative breast cancer classified according to molecular subtypes: an observational prospective study

Author

Novelli, Flavia, Milella, Michele, Melucci, Elisa, Di Benedetto, Anna, Sperduti, Isabella, Perrone-Donnorso, Raffaele, Perracchio, Letizia, Venturo, Irene, Nisticò, Cecilia, Fabi, Alessandra, Buglioni, Simonetta, Natali, Pier, and Mottolese, Marcella

Abstract

Estrogen receptor-alpha (ER-α) and progesterone receptor (PgR) are consolidated predictors of response to hormonal therapy (HT). In contrast, little information regarding the role of estrogen receptor-beta (ER-β) in various breast cancer risk groups treated with different therapeutic regimens is available. In particular, there are no data concerning ER-β distribution within the novel molecular breast cancer subtypes luminal A (LA) and luminal B (LB), HER2 (HS), and triple-negative (TN). We conducted an observational prospective study using immunohistochemistry to evaluate ER-β expression in 936 breast carcinomas. Associations with conventional biopathological factors and with molecular subtypes were analyzed by multiple correspondence analysis (MCA), while univariate and multivariate Cox regression analysis and classification and regression tree analysis were applied to determine the impact of ER-β on disease-free survival in the 728 patients with complete follow-up data. ER-β evenly distributes (55.5%) across the four molecular breast cancer subtypes, confirming the lack of correlation between ER-β and classical prognosticators. However, the relationships among the biopathological factors, analyzed by MCA, showed that ER-β positivity is located in the quadrant containing more aggressive phenotypes such as HER2 and TN or ER-α/PgR/Bcl2-tumors. Kaplan-Meier curves and Cox regression analysis identified ER-β as a significant discriminating factor for disease-free survival both in the node-negative LA (P= 0.02) subgroup, where it is predictive of response to HT, and in the node-positive LB (P= 0.04) group, where, in association with PgR negativity, it conveys a higher risk of relapse. Our data indicated that, in contrast to node-negative patients, in node-positive breast cancer patients, ER-β positivity appears to be a biomarker related to a more aggressive clinical course. In this context, further investigations are necessary to better assess the role of the different ER-β isophorms.

Published
2008
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