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4. Integrated proteogenomic characterization of glioblastoma evolution

Author

Kim, Kyung-Hee, Migliozzi, Simona, Koo, Harim, Hong, Jun-Hee, Park, Seung Min, Kim, Sooheon, Kwon, Hyung Joon, Ha, Seokjun, Garofano, Luciano, Oh, Young Taek, D'Angelo, Fulvio, Kim, Chan Il, Kim, Seongsoo, Lee, Ji Yoon, Kim, Jiwon, Hong, Jisoo, Jang, Eun-Hae, Mathon, Bertrand, Di Stefano, Anna-Luisa, Bielle, Franck, Laurenge, Alice, Nesvizhskii, Alexey I., Hur, Eun-Mi, Yin, Jinlong, Shi, Bingyang, Kim, Youngwook, Moon, Kyung-Sub, Kwon, Jeong Taik, Lee, Shin Heon, Lee, Seung Hoon, Gwak, Ho Shin, Lasorella, Anna, Yoo, Heon, Sanson, Marc, Sa, Jason K., Park, Chul-Kee, Nam, Do-Hyun, Iavarone, Antonio, and Park, Jong Bae

Published
2024
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10. Risk factors for Coronavirus Disease 2019 (COVID-19) severity and mortality among solid cancer patients and impact of the disease on anticancer treatment: A French nationwide cohort study (GCO-002 CACOVID-19)

Author

Moulin, Solenne, Leleu, Olivier, Leparree, Sylvie, Goasdoue, Henri, Piprot, Christine, Tourneur, Gerald, Bayart, Vincent, Lignier, Delphine, Lachaier, Emma, Khamari, Marwa, Coutte, Alexandre, Siembida, Nicolas, Houessinon, Aline, Regimbeau, Jean Marc, Chauffert, Bruno, Moreira, Aurélie, Hautefeuille, Vincent, Hee, Christine, Boone, Mathieu, Bihan, Céline, Chive, Emilie, Poulet-Potriquier, Stéphane, Fahem, Rachida, Luet, Dominique, Roquin, Guillaume, Vitellius, Carole, Cornet-Trichereau, Nathanaëlle, Caroli-Bosc, François-Xavier, Thirot-Bidault, Anne, Ropert, Stanislas, Gachet - Masson, Julie, Dehais, Mélanie, L'helgoualc'h, Gwen-Ael, Ali-Mahamadou, Ibrahim, Talfi, Safia, Belmont, Laure, Kilendo, Dieudonné, Benrezzak, Nasro, Dubief, Emeline, Conroy, Guillaume, Delique, Laurence, Basso, Maud, Pons, Isabelle, Salignon, Karine, Villing, Anne-Laure, Mougenot, Emmanuelle, Porebski, Cassandra, Guiatni, Asma, Cloarec, Nicolas, Mineur, Laurent, Bouchaud, Marie, David, Céleste, Peytier, Annie, Greletty, Thomas, Audemar, Franck, Vignes, Emanuelle, Minne, Floriane, Goldzak, Guillaume, Huysman, Fabienne, Hocine, Fayçal, Lakkis, Zaher, Mansi, Laura, Meynard, Guillaume, Almotlak, Hamadi, Klajer, Elodie, Sun, Xu-Shan, Wasselin, Julie, Catala, Pascale, Mazuy, Claire, Vandamme, Hélène, Prevost, Jean-Briac, Fadin, Aurélie, Basson, Laurent, Huguet, Jean-Baptiste, Dos Santos, Emmanuelle, Jany, Bérangère, Saad, Alain, Goutorbe, Frédéric, Oziol, Eric, Ramdani, Mohamed, Kadiri, Ouafae, Garbay, Delphine, Huet, Clotilde, Giroux Leprieur, Etienne, Teng, Wen, Monvoisin, Justine, Arnaud Coffin, Patrick, Roux, Sylvie, Orfeuvre, Hubert, Chagros, Mélanie, Pillon, Didier, Rassoul, Agathe, Poureau, Pierre Guillaume, Novello, Cécile, Ducray, François, Trouba, Cécile, Bastit, Vianney, Babin, Emmanuel, Thariat, Juliette, Leon, Vincent, Courtecuisse, Anne-Catherine, Vambre, Julie, Tack, Vincent, Desauw, Christophe, Meniai, Fatima, Peres, Christina, Esparcieux, Aurélie, Perrier, Hervé, Doux, Nathalie, Kaphan, Régis, Roques, Bertrand, Rebischung, Christine, Mille, Dominique, Fernandes, Gaëlle, Abdelli, Naceur, Jousset, Natacha, Combe, Pierre, Jonveaux, Eric, Dumont, Patrick, Kanaan, Marc, Berthelot Gras, Corinne, Panis, Valérie, Kaluzinski, Laure, Venant-Valery, Marjolène, Lam, You-Heng, Vallee, Laura, Riviere, Frédéric, Durand, Muriel, Benghadid, Dihya, Villeneuve, Emilie, Hentic Dhome, Olivia, Laurent, Lucie, Bounouar, Zedjiga, De Mestier, Louis, Dubois, Jacqueline, Eyriey, Magali, Moreau, Lionel, Ahle, Guido, Baihas, Dib, Aldabbagh, Kaïs, Degriffolet, Dominique, Sebbagh, Virginie, Seghezzi, Jean-Christophe, Lozach-Brugirard, Marion, Mandrou, Julie, Mavier, Loubna, Hennetier, Florence, Wagner, Jean-Philippe, Carola, Elisabeth, Chandirakumaran, Karthiga, Loutski, Sandrine, Cojean-Zelek, Isabelle, Bouras, Amina, Lacour, Sandrine, Froura, Fahem, Ben Nadji, Hadjer, Cattelain, Sophie, Darloy, Franck, Jolimoy Boilleau, Geneviève, Maissiat, Cyrielle, Darut-Jouve, Ariane, Lorgis, Véronique, Charifi-Alaoui, Ikram, Ghiringhelli, François, Drouillard, Antoine, Chaix, Marie, Manfredi, Sylvain, Lepage, Côme, Gagnaire, Alice, Latournerie, Marianne, jourdan, Sofia, Perrot, Nora, folia, Mireille, Minello, Anne, Jouve, Jean-Louis, Fery, Marielle, Landau, Alain, Evrard, Diane, Valenza, Bruno, Paitel, Jean-François, Chablais, Laetitia, Kreitmann, Thomas, Lancry-Lecomte, Laurence, Monard, Adrien, Faugeras, Eve, Boucheret, Paul, Glommeau, Cécile, Tchikladze, Christine, Garnier Tixidre, Claire, Long, Jérôme, Zaidi, Manel, Delabarre, Véronique, Meyzenc, Juliette, Ferrand, Loïc, Moro-Sibilot, Denis, Bouheret, Paul, Leyronnas, Cécile, Herve, Camille, Thoor, Audrey, Jacquet, Emanuelle, Roth, Gaël, Madapathage-Senanyake, Videsheka, Chupeau, Peggy, Bieber, Elsa, Rosso, Maud, Lepage, Isabelle, Priou, Frank, Laly, Margot, Aprelon, Sylvie, Sobolak, Natacha, Homokos, Helen, Pointreau, Yoann, Watelle, Fabienne, Pham-Becker, Alice, Lauridant, Géraldine, Turpin, Anthony, Dujardin, Charlotte, Lenglin, Etienne, Nienguet Tsota, Aimée, Dominguez, Sophie, Forestier, Alexandra, Nouvel, Franck, Lerooy, Justine, Ratajczak, Céline, Romano, Olivier, Brzyski, Dorothéee, Barriere, Aurélien, Genet, Dominique, Tisse, Julien, Zasadny, Xavier, Grelet, Adeline, Hennion-Imbault, Amélie, Haustraete, Eglantine, Louafi, Samy, Awad, Manal, Zekri, Younes, Cheneau, Caroline, Leissen, Nolwen, Egreteau, Joëlle, Breant, Alexandra, Sarabi, Matthieu, Labonne, Stéphanie, Forestier, Julien, Leclercq, Céline, Prunier-Bossion, Florence, Ray Coquard, Isabelle, Guillet, Marielle, Theillaumas, Aurélie, Prome, Emilie, Walter, Thomas, Philouze, Pierre, Lawo, Melody, De Talhouet, Solène, Beuvelot, Johanne, Molin, Yann, Bellecoste Martin, Marie, Saussereau, Maud, Agnelli, Lauren, Fakhry, Nicolas, Laplace, Christophe, Norguet Monnereau, Emmanuelle, Boucard, Céline, Djenad, Kahina, Fontaine, Catherine, Seitz, Jean-François, Dahan, Laétitia, Sigrand, Julie, Duluc, Muriel, Locher, Christophe, Fleury, Marjory, Brou Marie, Ange, Berkane, Ramdane, Poupblanc, Séverine, Auby, Dominique, Petran, Daniela, Texereau, Patrick, Guerineau, Elodie, Andre, Morgan, Mahjoubi, Linda, Sarrazin, Fanny, Jeanson, Sonia, Gschwend, Anthony, Birr, Virginie, Debieuvre, Didier, Fore, Mathieu, Noirclerc, Monique, Dahou, Sihem, Spaeth, Dominique, Lambotin, Mélanie, Lelu, Thomas, Linot, Benjamin, Hugon, Nathalie, Rousseau, Dominique, Castanie, Hélène, Lenne, Carole, Lortholary, Alain, Cessot, Anatole, Merzoug, Messaouda, Naudin, Cécile, Vannetzel, Jean-Michel, Aziz, Ghina, Hadj Arab, Yacine, Pernes, Stéphanie, Roche-Lachaise, Isabelle, Fiteni, Frédéric, Yahiaoui, Hadjer, Marel Lopez, Gwendoline, Oddoz, Jeanne, Peira, Fabienne, Michel, Olivier, Meunier, Jérôme, Ouahrani, Brahim, Roger, Antoine, Branco, Sonia, Nguyen, Van, Gisselbrecht, Mathilde, Hammad, Ghania, Mordant, Pierre, Stroksztejn, Magda, Pocard, Marc, Nlo Meyengue, Luc, Aparicio, Thomas, Sacco, Emmanuelle, Simon Anne, Sophie, Fabre-Guillevin, Elizabeth, Wislez, Marie, Slim, Marine, Zaanan, Aziz, Cadranel, Jacques, Pluvy, Johan, Ursu, Rénata, Geraldo, Amyrath, Lihi, Rime, Vo, Maryline, Brouk, Zohra, Colle, Raphaël, Bennamoun, Mostefa, Lacan, Fabrice, Louvet, Christophe, Mebarki, Soraya, Veyri, Marianne, Paillaud, Elena, Lucas, Christelle, Dubreuil, Olivier, Lyamani, Jamila, Idbaih, Ahmed, Agguini, Hanane, Soularue, Emilie, Canellas, Anthony, Zalcman, Gérard, Jourdaine, Clément, Verillaud, Benjamin, Herzine, Hakima, Raymond, Eric, Mathiot, Nathalie, Palmieri, Lola Jade, Epanya, Christian, Taieb, Julien, Bertrand, Eliane, Goujon, Gaël, Namour, Céline, Gazeau, Benoit, Zafirova, Biljana, Mirghani, Haitham, Belin, Catherine, Belkhir, Kahina, Gharib, Myriam, Vozy, Aurore, Amrane, Karim, Spano, Jean-Philippe, Wassermann, Johanna, Feuvret, Loic, Bachet, Jean-Baptiste, Philonenko, Sara, Guillot, Laetitia, Zabbe, Marion, Gibiat, Stéphanie, Baylot, Camille, Jouinot, Aude, Leduc, Nicolas, Vieillot, Sabine, James, Laurie, Ducerf, Camille, Blanc, Jean-Frédéric, Falandry Leger, Claire, Wautot, Virginie, Chauvenet, Marion, Vincent, Aude, Tougeron, David, Goulvent, Sandrine, Suc, Etienne, Laurenty, Anne-Pascale, Marquis, Eric, Bonnaire, Margaux, Dewolf, Maxime, Brenet, Esteban, Billard, Delphine, Litre, Claude-Fabien, Dumazet, Antoine, Botsen, Damien, Vazel, Marion, Carlier, Claire, Bonnerave, David, Marchand-Crety, Charles, Bouche, Olivier, Fosse, Patricia, Sefrioui, David, Michel, Pierre, Watson, Sarah, Neuzillet, Cindy, Torche, Fatah, Muron, Thierry, Natur, Stéphane, Desgrippes, Romain, Bihel, Véronique, Ferrand, François-Régis, Leiterer, Caroline, Lavole, Julie, Moquet, Claire, Pressoir, Nathalie, Dziukala, Catherine, Ligeza Poisson, Catherine, Naji, Abdelhalim, Williet, Nicolas, Phelip, Jean-Marc, Di Palma, Fabrice, Kherrour Mehdi, Amina, Langrand-Escure, Julien, Fournel, Pierre, Pigne, Grégoire, Saban-Roche, Léa, Magne, Nicolas, Vassal, Cécile, Jacquin, Jean-Philippe, Ramirez, Carole, Vallard, Alexis, Collard, Olivier, Rivoirard, Romain, Graber, Ivan, Trager Maury, Stéphanie, Duboisset, Elodie, Ayllon Ugarte, Jorge, Rami, Dalilia, Saler, Christine, Reinbolt, Manon, Le Fevre, Clara, Ben Abdelghani, Meher, Dourthe, Louis-Marie, Perruisseau-Carrier, Joffrey, Nguimpi-Tambou, Marlène, Barret, Flavie, Di Stefano Anna, Luisa, Balthazard, Annie, Mabro, May, Vassord-Dang, Camille, Le Marchand, Mathilde, Vergniol, Julien, Pripon, Iulia, Daemaegdt, Axelle, Latry, Vanessa, Larrieu, Muna, Landry, Gaëlle, Touihri Maximin, Laetitia, Del Piano, Francesco, Barlet, Agnès, Vernisse, Mylène, Lafond, Sophie, Genin, Charline, Sibertin-Blanc, Camille, Chabrillac, Emilien, Gregoire, Caroline, Vergez, Sébastien, Panouille, Quentin, Guimbaud, Rosine, Richa, Floriane, Lebellec, Loïc, Gounin, Sophie, Buiret, Guillaume, Baudin, Marine, Hamon, Hervé, Deshorgue, Anne-Claire, Barrascout, Eduardo, Legrand, Stéphanie, Houlze, Morgane, Cambula, Linda, Lopez, Anthony, Fouquet, Guillaume, Touabi, Kahina, GermaIn, Adeline, Godbert, Benoit, Voivret, Florence, Perrin, Julie, Da Silva, Rosa, Bernichon, Emilie, Lièvre, Astrid, Ray-Coquard, Isabelle, Le Malicot, Karine, Paoletti, Xavier, Bouché, Olivier, Aldabbagh, Kais, Colle, Raphael, Hardy-Bessard, Anne-Claire, Colomba, Emeline, Bourhis, Jean, Gorphe, Philippe, Ursu, Renata, and Di Stefano, Anna Luisa

Published
2020
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12. Learning and actioning general principles of cancer cell drug sensitivity.

Author

Carli, Francesco, Di Chiaro, Pierluigi, Morelli, Mariangela, Arora, Chakit, Bisceglia, Luisa, De Oliveira Rosa, Natalia, Cortesi, Alice, Franceschi, Sara, Lessi, Francesca, Di Stefano, Anna Luisa, Santonocito, Orazio Santo, Pasqualetti, Francesco, Aretini, Paolo, Miglionico, Pasquale, Diaferia, Giuseppe R., Giannotti, Fosca, Liò, Pietro, Duran-Frigola, Miquel, Mazzanti, Chiara Maria, and Natoli, Gioacchino

Subjects
LANGUAGE models, MEDICAL sciences, HIGH throughput screening (Drug development), ANTINEOPLASTIC agents, TRANSCRIPTOMES
Abstract

High-throughput screening of drug sensitivity of cancer cell lines (CCLs) holds the potential to unlock anti-tumor therapies. In this study, we leverage such datasets to predict drug response using cell line transcriptomics, focusing on models' interpretability and deployment on patients' data. We use large language models (LLMs) to match drug to mechanisms of action (MOA)-related pathways. Genes crucial for prediction are enriched in drug-MOAs, suggesting that our models learn the molecular determinants of response. Furthermore, by using only LLM-curated, MOA-genes, we enhance the predictive accuracy of our models. To enhance translatability, we align RNAseq data from CCLs, used for training, to those from patient samples, used for inference. We validated our approach on TCGA samples, where patients' best scoring drugs match those prescribed for their cancer type. We further predict and experimentally validate effective drugs for the patients of two highly lethal solid tumors, i.e., pancreatic cancer and glioblastoma. Potential anti-tumor therapies remain to be discovered in cancer cell line high-throughput screening datasets. Here, the authors develop a machine learning approach to infer cancer cell drug sensitivity from transcriptomics data and to explore drug mechanisms of action, and predict effective drugs for pancreatic cancer and glioblastoma. [ABSTRACT FROM AUTHOR]

Published
2025
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13. Targeting Mitochondria in Glioma: New Hopes for a Cure.

Author

Gatto, Lidia, Di Nunno, Vincenzo, Ghelardini, Anna, Tosoni, Alicia, Bartolini, Stefania, Asioli, Sofia, Ratti, Stefano, Di Stefano, Anna Luisa, and Franceschi, Enrico

Subjects
MITOCHONDRIAL dynamics, WARBURG Effect (Oncology), MITOCHONDRIAL membranes, MEMBRANE potential, ENERGY metabolism, OXIDATIVE phosphorylation
Abstract

Drugs targeting mitochondrial energy metabolism are emerging as promising antitumor therapeutics. Glioma treatment is extremely challenging due to the high complexity of the tumor and the high cellular heterogeneity. From a metabolic perspective, glioma cancer cells can be classified into the oxidative metabolic phenotype (mainly depending on mitochondrial respiration for energy production) and glycolytic phenotype or "Warburg effect" (mainly depending on glycolysis). Herein, we reviewed the function of novel bio-active molecules targeting oxidative phosphorylation (OXPHOS), mitochondrial membrane potential and mitochondrial dynamics. These molecules exhibit intriguing preclinical and clinical results and have been proven to be promising candidates to be further developed for glioma therapy. However, despite these initial encouraging results, it is imperative to rigorously assess the side effects of these metabolic drugs, which have a non-negligible toxicity profile. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors

Author

Melin, Beatrice S, Barnholtz-Sloan, Jill S, Wrensch, Margaret R, Johansen, Christoffer, Il'yasova, Dora, Kinnersley, Ben, Ostrom, Quinn T, Labreche, Karim, Chen, Yanwen, Armstrong, Georgina, Liu, Yanhong, Eckel-Passow, Jeanette E, Decker, Paul A, Labussière, Marianne, Idbaih, Ahmed, Hoang-Xuan, Khe, Di Stefano, Anna-Luisa, Mokhtari, Karima, Delattre, Jean-Yves, Broderick, Peter, Galan, Pilar, Gousias, Konstantinos, Schramm, Johannes, Schoemaker, Minouk J, Fleming, Sarah J, Herms, Stefan, Heilmann, Stefanie, Nöthen, Markus M, Wichmann, Heinz-Erich, Schreiber, Stefan, Swerdlow, Anthony, Lathrop, Mark, Simon, Matthias, Sanson, Marc, Andersson, Ulrika, Rajaraman, Preetha, Chanock, Stephen, Linet, Martha, Wang, Zhaoming, Yeager, Meredith, Wiencke, John K, Hansen, Helen, McCoy, Lucie, Rice, Terri, Kosel, Matthew L, Sicotte, Hugues, Amos, Christopher I, Bernstein, Jonine L, Davis, Faith, Lachance, Dan, Lau, Ching, Merrell, Ryan T, Shildkraut, Joellen, Ali-Osman, Francis, Sadetzki, Siegal, Scheurer, Michael, Shete, Sanjay, Lai, Rose K, Claus, Elizabeth B, Olson, Sara H, Jenkins, Robert B, Houlston, Richard S, and Bondy, Melissa L

Subjects
Biological Sciences, Genetics, Prevention, Cancer Genomics, Rare Diseases, Human Genome, Neurosciences, Brain Cancer, Brain Disorders, Cancer, 2.1 Biological and endogenous factors, Alleles, Brain Neoplasms, Gene Expression Regulation, Neoplastic, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glioblastoma, Glioma, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, GliomaScan Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,496 cases and 18,190 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10-9, odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10-10, OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10-8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10-11, OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10-10, OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10-9, OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10-10, OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10-10, OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10-9, OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10-8, OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10-10, OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10-11, OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10-9, OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.

Published
2017

17. Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer

Author

Bolan, Patrick J., Branzoli, Francesca, Di Stefano, Anna Luisa, Nichelli, Lucia, Valabregue, Romain, Saunders, Sara L., Akçakaya, Mehmet, Sanson, Marc, Lehéricy, Stéphane, Marjańska, Małgorzata, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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18. Exploring Extracellular Vesicle Surface Protein Markers Produced by Glioblastoma Tumors: A Characterization Study Using In Vitro 3D Patient-Derived Cultures.

Author

Franceschi, Sara, Lessi, Francesca, Morelli, Mariangela, Menicagli, Michele, Aretini, Paolo, Gambacciani, Carlo, Pieri, Francesco, Grimod, Gianluca, Trapanese, Maria Grazia, Valenti, Silvia, Paiar, Fabiola, Di Stefano, Anna Luisa, Santonocito, Orazio Santo, Pasqualetti, Francesco, and Mazzanti, Chiara Maria

Subjects
EXTRACELLULAR vesicles, IN vitro studies, GLIOMAS, CELL physiology, TISSUE culture, RNA, RESEARCH methodology, GENETIC mutation, BIOLOGICAL assay, MEMBRANE proteins, BIOMARKERS
Abstract

Simple Summary: Glioblastoma is a highly aggressive brain cancer with limited treatment options. This research aims to improve our understanding of GBM progression by focusing on extracellular vesicles released by tumor cells that carry important biological information. The authors developed a laboratory model that closely mimics the tumor microenvironment, allowing for the study of extracellular vesicles released from various cell types within the tumor. This model enabled the identification of specific surface markers on extracellular vesicles that could serve as potential noninvasive diagnostic tools for GBM. The findings suggest that these markers may help improve extracellular vesicle isolation and provide insights into the molecular characteristics of the tumor. This study has the potential to significantly impact the research community by offering new approaches to GBM diagnosis and advancing our knowledge of tumor biology, which could ultimately inform future therapeutic strategies. Background/Objectives: Glioblastoma (GBM) is an aggressive brain cancer with limited treatment options. Extracellular vesicles (EVs) derived from GBM cells contain important biomarkers, such as microRNAs, proteins, and DNA mutations, which are involved in tumor progression, invasion, and resistance to treatment. Identifying surface markers on these EVs is crucial for their isolation and potential use in noninvasive diagnosis. This study aimed to use tumor-derived explants to investigate the surface markers of EVs and explore their role as diagnostic biomarkers for GBM. Methods: Tumor explants from nine GBM patients without IDH1/IDH2 mutations or 1p-19q co-deletion were cultured to preserve both tumor viability and cytoarchitecture. EVs were collected from the tumor microenvironment using differential centrifugation, filtration, and membrane affinity binding. Their surface protein composition was analyzed through multiplex protein assays. RNA-Seq data from TCGA and GTEx datasets, along with in silico single-cell RNA-seq data, were used to assess EV surface biomarker expression across large GBM patient cohorts. Results: The in vitro model successfully replicated the tumor microenvironment and produced EVs with distinct surface markers. Biomarker analysis in large datasets revealed specific expression patterns unique to GBM patients compared with healthy controls. These markers demonstrated potential as a GBM-specific signature and were correlated with clinical data. Furthermore, in silico single-cell RNA-seq provided detailed insights into biomarker distribution across different cell types within the tumor. Conclusions: This study underscores the efficacy of the tumor-derived explant model and its potential to advance the understanding of GBM biology and EV production. A key innovation is the isolation of EVs from a model that faithfully mimics the tumor's original cytoarchitecture, offering a deeper understanding of the cells involved in EV release. The identified EV surface markers represent promising targets for enhancing EV isolation and optimizing their use as diagnostic tools. Moreover, further investigation into their molecular cargo may provide crucial insights into tumor characteristics and evolution. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Learning and actioning general principles of cancer cell drug sensitivity

Author

Carli, Francesco, primary, Di Chiaro, Pierluigi, additional, Morelli, Mariangela, additional, Arora, Chakit, additional, Bisceglia, Luisa, additional, De Oliveira Rosa, Natalia, additional, Cortesi, Alice, additional, Franceschi, Sara, additional, Lessi, Francesca, additional, Di Stefano, Anna Luisa, additional, Santonocito, Orazio Santo, additional, Pasqualetti, Francesco, additional, Aretini, Paolo, additional, Miglionico, Pasquale, additional, Diaferia, Giuseppe Riccardo, additional, Giannotti, Fosca, additional, Lio, Pietro, additional, Duran-Frigola, Miquel, additional, Mazzanti, Chiara Maria, additional, Natoli, Gioacchino, additional, and Raimondi, Francesco, additional

Published
2024
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21. Multimodal management of surgery- and radiation-refractory meningiomas: an analysis of the French national tumor board meeting on meningiomas cohort

Author

Le Van, Tuan, Graillon, Thomas, Jacob, Julian, Vauleon, Elodie, Feuvret, Loic, Boch, Anne-Laure, Boetto, Julien, Boone, Mathieu, Bronnimann, Charlotte, Caire, François, De Barros, Amaury, Delaitre, Mariette, Di Stefano, Anna Luisa, Dore, Mélanie, Ducray, François, Dufour, Christelle, Engelhardt, Julien, Fontaine, Denys, Froelich, Sebastien, Helleringer, Matthieu, Huchet, Aymeri, Joncour, Anthony, Jouanneau, Emmanuel, Mallereau, Charles-Henry, Monfilliette, Apolline, Le Fur, Emmanuelle, Zemmoura, Ilyess, Chinot, Olivier, Sanson, Marc, Kalamarides, Michel, Loiseau, Hugues, and Peyre, Matthieu

Published
2021
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22. Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities

Author

Garofano, Luciano, Migliozzi, Simona, Oh, Young Taek, D’Angelo, Fulvio, Najac, Ryan D., Ko, Aram, Frangaj, Brulinda, Caruso, Francesca Pia, Yu, Kai, Yuan, Jinzhou, Zhao, Wenting, Di Stefano, Anna Luisa, Bielle, Franck, Jiang, Tao, Sims, Peter, Suvà, Mario L., Tang, Fuchou, Su, Xiao-Dong, Ceccarelli, Michele, Sanson, Marc, Lasorella, Anna, and Iavarone, Antonio

Published
2021
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24. Exploring Regorafenib Responsiveness and Uncovering Molecular Mechanisms in Recurrent Glioblastoma Tumors Through Longitudinal In Vitro Sampling

Author

Morelli, Mariangela, primary, Lessi, Francesca, additional, Franceschi, Sara, additional, Ferri, Gianmarco, additional, Giacomarra, Manuel, additional, Menicagli, Michele, additional, Gambacciani, Carlo, additional, Pieri, Francesco, additional, Pasqualetti, Francesco, additional, Montemurro, Nicola, additional, Aretini, Paolo, additional, Santonocito, Orazio Santo, additional, Di Stefano, Anna Luisa, additional, and Mazzanti, Chiara Maria, additional

Published
2024
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26. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

Author

Wang, Zhaoming, Zhu, Bin, Zhang, Mingfeng, Parikh, Hemang, Jia, Jinping, Chung, Charles C, Sampson, Joshua N, Hoskins, Jason W, Hutchinson, Amy, Burdette, Laurie, Ibrahim, Abdisamad, Hautman, Christopher, Raj, Preethi S, Abnet, Christian C, Adjei, Andrew A, Ahlbom, Anders, Albanes, Demetrius, Allen, Naomi E, Ambrosone, Christine B, Aldrich, Melinda, Amiano, Pilar, Amos, Christopher, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Arici, Cecilia, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Beane Freeman, Laura E, Berg, Christine D, Berndt, Sonja I, Bertazzi, Pier Alberto, Biritwum, Richard B, Black, Amanda, Blot, William, Boeing, Heiner, Boffetta, Paolo, Bolton, Kelly, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brennan, Paul, Brinton, Louise A, Brotzman, Michelle, Bueno-de-Mesquita, H Bas, Buring, Julie E, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Cao, Guangwen, Caporaso, Neil E, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chang, Gee-Chen, Chang, I-Shou, Chang-Claude, Jenny, Che, Xu, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chung-Hsing, Chen, Constance, Chen, Kuan-Yu, Chen, Yuh-Min, Chokkalingam, Anand P, Chu, Lisa W, Clavel-Chapelon, Francoise, Colditz, Graham A, Colt, Joanne S, Conti, David, Cook, Michael B, Cortessis, Victoria K, Crawford, E David, Cussenot, Olivier, Davis, Faith G, De Vivo, Immaculata, Deng, Xiang, Ding, Ti, Dinney, Colin P, Di Stefano, Anna Luisa, Diver, W Ryan, Duell, Eric J, Elena, Joanne W, Fan, Jin-Hu, Feigelson, Heather Spencer, Feychting, Maria, Figueroa, Jonine D, Flanagan, Adrienne M, Fraumeni, Joseph F, Freedman, Neal D, Fridley, Brooke L, Fuchs, Charles S, Gago-Dominguez, Manuela, Gallinger, Steven, Gao, Yu-Tang, Gapstur, Susan M, and Garcia-Closas, Montserrat

Subjects
Biological Sciences, Genetics, Human Genome, Cancer, Prevention, 2.1 Biological and endogenous factors, Alleles, Chromosomes, Human, Pair 5, Computational Biology, DNA Methylation, Epigenesis, Genetic, Female, Gene Expression Regulation, Neoplastic, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Membrane Proteins, Neoplasm Proteins, Neoplasms, Odds Ratio, Polymorphism, Single Nucleotide, Risk, Telomerase, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.

Published
2014

27. Characterization of the Secretome from Spheroids of Adipose-Derived Stem Cells (SASCs) and Its Potential for Tissue Regeneration.

Author

Urrata, Valentina, Toia, Francesca, Cammarata, Emanuele, Franza, Mara, Montesano, Luigi, Cordova, Adriana, and Di Stefano, Anna Barbara

Subjects
MESENCHYMAL stem cell differentiation, EXTRACELLULAR vesicles, FAT cells, WESTERN immunoblotting, REGENERATION (Biology)
Abstract

Introduction: Spheroids are spherical aggregates of cells that mimic the three-dimensional (3D) architecture of tissues more closely than traditional two dimensional (2D) cultures. Spheroids of adipose stem cells (SASCs) show special features such as high multilineage differentiation potential and immunomodulatory activity. These properties have been attributed to their secreted factors, such as cytokines and growth factors. Moreover, a key role is played by the extracellular vesicles (EVs), which lead a heterogeneous cargo of proteins, mRNAs, and small RNAs that interfere with the pathways of the recipient cells. Purpose: The aim of this work was to characterize the composition of the secretome and exosome from SASCs and evaluate their regenerative potential. Materials and Methods: SASCs were extracted from adipose samples of healthy individuals after signing informed consent. The exosomes were isolated and characterized by Dinamic Light Scattering (DLS), Scanning Electron Microscopy (SEM), and Western blotting analyses. The expression of mRNAs and miRNAs were evaluated through real-time PCR. Lastly, a wound-healing assay was performed to investigate their regenerative potential on different cell cultures. Results: The SASCs' exosomes showed an up-regulation of NANOG and SOX2 mRNAs, typical of stemness maintenance, as well as miR126 and miR146a, related to angiogenic and osteogenic processes. Moreover, the exosomes showed a regenerative effect. Conclusions: The SASCs' secretome carried paracrine signals involved in stemness maintenance, pro-angiogenic and pro-osteogenic differentiation, immune system regulation, and regeneration. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Central Nervous System

Author

Farina, Patrizia, Scotté, Florian, Villa, Chiara, Baussart, Bertrand, Di Stefano, Anna Luisa, Dicato, Mario A., editor, and Van Cutsem, Eric, editor

Published
2018
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33. Leveraging Ethnic Group Incidence Variation to Investigate Genetic Susceptibility to Glioma: A Novel Candidate SNP Approach

Author

Jacobs, Daniel I, Walsh, Kyle M, Wrensch, Margaret, Wiencke, John, Jenkins, Robert, Houlston, Richard S, Bondy, Melissa, Simon, Matthias, Sanson, Marc, Gousias, Konstantinos, Schramm, Johannes, Labussière, Marianne, Di Stefano, Anna Luisa, Wichmann, H-Erich, Müller-Nurasyid, Martina, Schreiber, Stefan, Franke, Andre, Moebus, Susanne, Eisele, Lewin, Dewan, Andrew T, and Dubrow, Robert

Subjects
Biological Sciences, Genetics, Brain Cancer, Prevention, Clinical Research, Brain Disorders, Rare Diseases, Cancer, Human Genome, 2.1 Biological and endogenous factors, admixture, ancestry informative markers, brain cancer, candidate SNP association study, ethnicity, glioma, race, Clinical Sciences, Law
Abstract

ObjectivesUsing a novel candidate SNP approach, we aimed to identify a possible genetic basis for the higher glioma incidence in Whites relative to East Asians and African-Americans.Methods  We hypothesized that genetic regions containing SNPs with extreme differences in allele frequencies across ethnicities are most likely to harbor susceptibility variants. We used International HapMap Project data to identify 3,961 candidate SNPs with the largest allele frequency differences in Whites compared to East Asians and Africans and tested these SNPs for association with glioma risk in a set of White cases and controls. Top SNPs identified in the discovery dataset were tested for association with glioma in five independent replication datasets.ResultsNo SNP achieved statistical significance in either the discovery or replication datasets after accounting for multiple testing or conducting meta-analysis. However, the most strongly associated SNP, rs879471, was found to be in linkage disequilibrium with a previously identified risk SNP, rs6010620, in RTEL1. We estimate rs6010620 to account for a glioma incidence rate ratio of 1.34 for Whites relative to East Asians.ConclusionWe explored genetic susceptibility to glioma using a novel candidate SNP method which may be applicable to other diseases with appropriate epidemiologic patterns.

Published
2012

34. Spheroids of adipose derived stem cells show their potential in differentiating towards the angiogenic lineage

Author

Barbara Di Stefano, Anna, Toia, Francesca, Urrata, Valentina, Trapani, Marco, Montesano, Luigi, Cammarata, Emanuele, Moschella, Francesco, Cordova, Adriana, Barbara Di Stefano, Anna, Toia, Francesca, Urrata, Valentina, Trapani, Marco, Montesano, Luigi, Cammarata, Emanuele, Moschella, Francesco, and Cordova, Adriana

Subjects
Wound healing, Spheroids of adipose stem cells, Angiogenesis, Endothelial markers, Secretome
Abstract

Introduction: Adipose derived stem cells (ASCs) are a mesenchymal stem cell population of great scientific interest due to their abundance and easiness in obtaining them from adipose tissue. Recently, several techniques for three dimensional (3D) ASCs cultivation have been developed to obtain spheroids of adipose stem cells (SASCs). It was already proved that ASCs are able to differentiate towards the endothelial lineage thus, for the first time, we investigated the ability of our 3D SASCs to differentiate endothelially and the effects of not differentiated SASC secreted factors on specific cultured cells. Materials and methods: SASCs were differentiated with a specific medium towards endothelial lineage. Cell viability, gene and protein expression of typical endothelial markers were analysed. Moreover, tube formation, wound healing and migration assays were performed to investigate the ability in migration and angiogenic networks formation of endothelially differentiated cells. SASCs secretome were also tested. Results: We showed the ability of SASCs to differentiate towards the endothelial lineage with an increase in cell viability of 15-fold and 8-fold at 14 and 21days of differentiation respectively. Moreover, we showed the upregulation of VEGF-A and CD31 mRNAs of 9-fold and 1300-fold in SASCs endothelially differentiated cells, whilst protein expression was different. VEGF-A protein expression was upregulated whilst CD31 protein wasn't translated. In addition, ICAM1, VCAM1, ANGPT1, CD62E protein levels remain unchanged. SASCs were also able to organize themselves into angiogenic networks after 7days of culturing themon ECMatrix. Secreted factors from undifferentiated 3D SASCs acted in a paracrine way on HUVECs and endothelially differentiated ASCs seeded on ECMatrix to promote angiogenic events. Conclusions: SASCs, thanks to their multilineage differentiation potential, also possess the ability to differentiate towards endothelial lineage and to organize themselves into angiogenic networks. Moreover, they are able to promote angiogenesis through their secreted factors.

Published
2023

37. Development of Adaptable 3D-Bioprinted Scaffold for Tissue Regeneration.

Author

Galvano, Simona, Di Stefano, Anna B., Muscolino, Emanuela, Trapani, Marco, Toia, Francesca, and Dispenza, Clelia

Subjects
THREE-dimensional printing, BIOPRINTING, HYDROGELS, TISSUE engineering, HYDROGELS in medicine, CARRAGEENANS
Abstract

3D printing is an additive manufacturing technique that can transform 3D virtual models into physical objects by layer-by-layer deposition of materials that can undergo rapid liquid-to-solid transformation after dispensing. Hydrogels are one of the most interesting and challenging classes of material systems that can be employed as inks, and hydrogel-based 3D printing has been exploited in tissue engineering and regenerative medicine. Here, hydrogel bio-inks using k-Carrageenan (kC) and poly(vinyl alcohol) (PVA) have been formulated with the objective of tuning the printability properties of bio-ink. The kC allows the systems to undergo rapid sol-to-gel transitions upon cooling from 60 °C and above to body temperature, while the need to introduce PVA is related to optimizing the viscosity of the ink solution to enable 3D printing with a continuous filament and to introduce interconnected porosity in the scaffold. γ-radiation-induced chemical modification of kC polymer powder is successfully used here as a mean to induce noticeable modifications in the polymer molecular weight distribution and polymer structure and to optimize the printing properties of bio-ink formulations. The study aims to develop hydrogel formulations with viscoelastic properties and sol-gel transitions suitable for use as bioinks for 3D printing scaffolds with adipose stem cell spheroids for cartilage or bone tissue reconstruction. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Exploring Regorafenib Responsiveness and Uncovering Molecular Mechanisms in Recurrent Glioblastoma Tumors through Longitudinal In Vitro Sampling.

Author

Morelli, Mariangela, Lessi, Francesca, Franceschi, Sara, Ferri, Gianmarco, Giacomarra, Manuel, Menicagli, Michele, Gambacciani, Carlo, Pieri, Francesco, Pasqualetti, Francesco, Montemurro, Nicola, Aretini, Paolo, Santonocito, Orazio Santo, Di Stefano, Anna Luisa, and Mazzanti, Chiara Maria

Subjects
GLIOBLASTOMA multiforme, REGORAFENIB, BRAIN tumors, TUMORS, INDIVIDUALIZED medicine
Abstract

Glioblastoma, a deadly brain tumor, shows limited response to standard therapies like temozolomide (TMZ). Recent findings from the REGOMA trial underscore a significant survival improvement offered by Regorafenib (REGO) in recurrent glioblastoma. Our study aimed to propose a 3D ex vivo drug response precision medicine approach to investigate recurrent glioblastoma sensitivity to REGO and elucidate the underlying molecular mechanisms involved in tumor resistance or responsiveness to treatment. Three-dimensional glioblastoma organoids (GB-EXPs) obtained from 18 patients' resected recurrent glioblastoma tumors were treated with TMZ and REGO. Drug responses were evaluated using NAD(P)H FLIM, stratifying tumors as responders (Resp) or non-responders (NRs). Whole-exome sequencing was performed on 16 tissue samples, and whole-transcriptome analysis on 13 GB-EXPs treated and untreated. We found 35% (n = 9) and 77% (n = 20) of tumors responded to TMZ and REGO, respectively, with no instances of TMZ-Resp being REGO-NRs. Exome analysis revealed a unique mutational profile in REGO-Resp tumors compared to NR tumors. Transcriptome analysis identified distinct expression patterns in Resp and NR tumors, impacting Rho GTPase and NOTCH signaling, known to be involved in drug response. In conclusion, recurrent glioblastoma tumors were more responsive to REGO compared to TMZ treatment. Importantly, our approach enables a comprehensive longitudinal exploration of the molecular changes induced by treatment, unveiling promising biomarkers indicative of drug response. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Supplementary Figure 5 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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44. Supplementary Figure 2 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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45. Supplementary Figure 1 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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46. Supplementary Figure 6 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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47. Supplementary Figure Legends from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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48. Supplementary Figure 3 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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49. Supplementary Figure 4 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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50. Supplementary Table 1 from Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma

Author

Di Stefano, Anna Luisa, primary, Fucci, Alessandra, primary, Frattini, Veronique, primary, Labussiere, Marianne, primary, Mokhtari, Karima, primary, Zoppoli, Pietro, primary, Marie, Yannick, primary, Bruno, Aurelie, primary, Boisselier, Blandine, primary, Giry, Marine, primary, Savatovsky, Julien, primary, Touat, Mehdi, primary, Belaid, Hayat, primary, Kamoun, Aurelie, primary, Idbaih, Ahmed, primary, Houillier, Caroline, primary, Luo, Feng R., primary, Soria, Jean-Charles, primary, Tabernero, Josep, primary, Eoli, Marica, primary, Paterra, Rosina, primary, Yip, Stephen, primary, Petrecca, Kevin, primary, Chan, Jennifer A., primary, Finocchiaro, Gaetano, primary, Lasorella, Anna, primary, Sanson, Marc, primary, and Iavarone, Antonio, primary

Published
2023
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