36 results on '"Micarelli, Elisa"'
Search Results
2. Transcription Factor Activation Profiles (TFAP) identify compounds promoting differentiation of Acute Myeloid Leukemia cell lines
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Riccio, Federica, Micarelli, Elisa, Secci, Riccardo, Giuliani, Giulio, Vumbaca, Simone, Massacci, Giorgia, Castagnoli, Luisa, Fuoco, Claudia, and Cesareni, Gianni
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- 2022
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3. Phase I trial of viral vector based personalized vaccination elicits robust neoantigen specific antitumor T cell responses
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D'Alise, Anna Morena., primary, Leoni, Guido, additional, Cotugno, Gabriella, additional, Siani, Loredana, additional, Vitale, Rosa, additional, Ruzza, Valentino, additional, Garzia, Irene, additional, Antonucci, Laura, additional, Micarelli, Elisa, additional, Venafra, Veronica, additional, Gogov, Sven, additional, Capone, Alessia, additional, Runswick, Sarah, additional, Martin-Liberal, Juan, additional, Calvo, Emiliano, additional, Moreno, Victor, additional, Symeonides, Stefan N., additional, Scarselli, Elisa, additional, and Bechter, Oliver, additional
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- 2024
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4. Adipogenesis of skeletal muscle fibro/adipogenic progenitors is affected by the WNT5a/GSK3/β-catenin axis
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Reggio, Alessio, Rosina, Marco, Palma, Alessandro, Cerquone Perpetuini, Andrea, Petrilli, Lucia Lisa, Gargioli, Cesare, Fuoco, Claudia, Micarelli, Elisa, Giuliani, Giulio, Cerretani, Mauro, Bresciani, Alberto, Sacco, Francesca, Castagnoli, Luisa, and Cesareni, Gianni
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- 2020
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5. Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis
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Micarelli, Alessandro, Viziano, Andrea, Panella, Massimo, Micarelli, Elisa, and Alessandrini, Marco
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- 2019
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6. Gradient impact of cognitive decline in unilateral vestibular hypofunction after rehabilitation: preliminary findings
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Micarelli, Alessandro, Viziano, Andrea, Bruno, Ernesto, Micarelli, Elisa, Augimeri, Ivan, and Alessandrini, Marco
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- 2018
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7. Abstract LB196: NOUS-PEV, a personalized cancer immunotherapy targeting neoantigens, induces long lasting, tumor infiltrating memory T cells
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Bechter, Oliver, primary, D'Alise, Anna Morena, additional, Leoni, Guido, additional, Cotugno, Gabriella, additional, Siani, Loredana, additional, Vitale, Rosa, additional, Ruzza, Valentino, additional, Garzia, Irene, additional, Antonucci, Laura, additional, Micarelli, Elisa, additional, Gogov, Sven, additional, Capone, Alessia, additional, Martin-Liberal, Juan, additional, Calvo, Emiliano, additional, Moreno, Victor, additional, Symeonides, Stefan, additional, and Scarselli, Elisa, additional
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- 2023
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8. 706 NOUS-PEV, a novel personalized viral-based prime/boost cancer immunotherapy targeting patient-specific neoantigens: interim results from the first subjects in the phase 1b study
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Bechter, Oliver, primary, Martin-Liberal, Juan, additional, D’Alise, Anna, additional, Leoni, Guido, additional, Cotugno, Gabriella, additional, Siani, Loredana, additional, Vitale, Rosa, additional, Ruzza, Valentino, additional, Micarelli, Elisa, additional, Garzia, Irene, additional, Faivre, Thea, additional, Gogov, Sven, additional, Delaite, Patricia, additional, Colloca, Stefano, additional, Ambrosio, Maria, additional, Merone, Rossella, additional, Scarselli, Elisa, additional, and Symeonides, Stefan, additional
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- 2022
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9. Adenoviral-based vaccine promotes neoantigen-specific CD8 + T cell stemness and tumor rejection
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D’Alise, Anna Morena, primary, Brasu, Nadia, additional, De Intinis, Carlo, additional, Leoni, Guido, additional, Russo, Valentina, additional, Langone, Francesca, additional, Baev, Denis, additional, Micarelli, Elisa, additional, Petiti, Luca, additional, Picelli, Simone, additional, Fakih, Marwan, additional, Le, Dung T., additional, Overman, Michael J., additional, Shields, Anthony F., additional, Pedersen, Katrina S., additional, Shah, Manish A., additional, Mukherjee, Sarbajit, additional, Faivre, Thea, additional, Delaite, Patricia, additional, Scarselli, Elisa, additional, and Pace, Luigia, additional
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- 2022
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10. Abstract LB008: Characterization of immune correlates of clinical activity for Nous-209, an off-the-shelf immunotherapy, with pembrolizumab for treatment of tumors characterized by microsatellite instability (MSI)
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D'Alise, Anna Morena, primary, Leoni, Guido, additional, Langone, Francesca, additional, Micarelli, Elisa, additional, Cotugno, Gabriella, additional, Overman, Michael James, additional, Fakih, Marwan, additional, Le, Dung, additional, Faivre, Théa, additional, and Scarselli, Elisa, additional
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- 2022
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11. Maximizing cancer therapy via complementary mechanisms of immune activation: PD-1 blockade, neoantigen vaccination, and Tregs depletion
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D'Alise, Anna Morena, primary, Leoni, Guido, additional, De Lucia, Maria, additional, Langone, Francesca, additional, Nocchi, Linda, additional, Tucci, Fabio Giovanni, additional, Micarelli, Elisa, additional, Cotugno, Gabriella, additional, Troise, Fulvia, additional, Garzia, Irene, additional, Vitale, Rosa, additional, Bignone, Veronica, additional, Di Matteo, Elena, additional, Bartolomeo, Rosa, additional, Charych, Deborah H, additional, Lahm, Armin, additional, Zalevsky, Jonathan, additional, Nicosia, Alfredo, additional, and Scarselli, Elisa, additional
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- 2021
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12. VENUS, a Novel Selection Approach to Improve the Accuracy of Neoantigens’ Prediction
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Leoni, Guido, primary, D’Alise, Anna Morena, additional, Tucci, Fabio Giovanni, additional, Micarelli, Elisa, additional, Garzia, Irene, additional, De Lucia, Maria, additional, Langone, Francesca, additional, Nocchi, Linda, additional, Cotugno, Gabriella, additional, Bartolomeo, Rosa, additional, Romano, Giuseppina, additional, Allocca, Simona, additional, Troise, Fulvia, additional, Nicosia, Alfredo, additional, Lahm, Armin, additional, and Scarselli, Elisa, additional
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- 2021
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13. Transcription Factor Activation Profiles (TFAP) identify compounds promoting differentiation of Acute Myeloid Leukemia cell lines
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Riccio, Federica, primary, Micarelli, Elisa, additional, Secci, Riccardo, additional, Giuliani, Giulio, additional, Vumbaca, Simone, additional, Massacci, Giorgia, additional, Castagnoli, Luisa, additional, Fuoco, Claudia, additional, and Cesareni, Gianni, additional
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- 2021
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14. Adenoviral-based vaccine promotes neoantigen-specific CD8+ T cell stemness and tumor rejection.
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D'Alise, Anna Morena, Brasu, Nadia, De Intinis, Carlo, Leoni, Guido, Russo, Valentina, Langone, Francesca, Baev, Denis, Micarelli, Elisa, Petiti, Luca, Picelli, Simone, Fakih, Marwan, Le, Dung T., Overman, Michael J., Shields, Anthony F., Pedersen, Katrina S., Shah, Manish A., Mukherjee, Sarbajit, Faivre, Thea, Delaite, Patricia, and Scarselli, Elisa
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T cells ,T cell receptors ,COMBINED vaccines ,IMMUNOLOGIC memory ,CANCER vaccines ,HOMINIDS ,CYTOTOXIC T cells - Abstract
Upon chronic antigen exposure, CD8
+ T cells become exhausted, acquiring a dysfunctional state correlated with the inability to control infection or tumor progression. In contrast, stem-like CD8+ T progenitors maintain the ability to promote and sustain effective immunity. Adenovirus (Ad)–vectored vaccines encoding tumor neoantigens have been shown to eradicate large tumors when combined with anti–programmed cell death protein 1 (αPD-1) in murine models; however, the mechanisms and translational potential have not yet been elucidated. Here, we show that gorilla Ad vaccine targeting tumor neoepitopes enhances responses to αPD-1 therapy by improving immunogenicity and antitumor efficacy. Single-cell RNA sequencing demonstrated that the combination of Ad vaccine and αPD-1 increased the number of murine polyfunctional neoantigen-specific CD8+ T cells over αPD-1 monotherapy, with an accumulation of Tcf1+ stem-like progenitors in draining lymph nodes and effector CD8+ T cells in tumors. Combined T cell receptor (TCR) sequencing analysis highlighted a broader spectrum of neoantigen-specific CD8+ T cells upon vaccination compared to αPD-1 monotherapy. The translational relevance of these data is supported by results obtained in the first 12 patients with metastatic deficient mismatch repair (dMMR) tumors vaccinated with an Ad vaccine encoding shared neoantigens. Expansion and diversification of TCRs were observed in post-treatment biopsies of patients with clinical response, as well as an increase in tumor-infiltrating T cells with an effector memory signature. These findings indicate a promising mechanism to overcome resistance to PD-1 blockade by promoting immunogenicity and broadening the spectrum and magnitude of neoantigen-specific T cells infiltrating tumors. Immunotherapy that is not monkeying around: Adenoviral vaccines encoding for tumor neoantigens have shown promise treating solid tumors when combined with anti–programmed cell death protein 1 (αPD-1) preclinically; however, the mechanism is not well understood. To elucidate this, Chen et al. generated Great Ape adenovirus (GAd) vaccines and treated tumor-bearing mice in combination with αPD-1 to elicit an accumulation of Tcf1+ stem-like CD8+ T cell progenitors, improving immunogenicity and antitumor efficacy. In addition, they performed a first-in-human trial on patients with metastatic mismatch repair–deficient tumors and saw a clinical response, suggesting this as a promising therapy to overcome resistance to αPD-1 treatment. [ABSTRACT FROM AUTHOR]- Published
- 2022
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15. A Resource for the Network Representation of Cell Perturbations Caused by SARS-CoV-2 Infection
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Perfetto, Livia, primary, Micarelli, Elisa, additional, Iannuccelli, Marta, additional, Lo Surdo, Prisca, additional, Giuliani, Giulio, additional, Latini, Sara, additional, Pugliese, Giusj Monia, additional, Massacci, Giorgia, additional, Vumbaca, Simone, additional, Riccio, Federica, additional, Fuoco, Claudia, additional, Paoluzi, Serena, additional, Castagnoli, Luisa, additional, Cesareni, Gianni, additional, Licata, Luana, additional, and Sacco, Francesca, additional
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- 2021
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16. Phosphomatics: interactive interrogation of substrate–kinase networks in global phosphoproteomics datasets
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Leeming, Michael G, primary, O’Callaghan, Sean, additional, Licata, Luana, additional, Iannuccelli, Marta, additional, Lo Surdo, Prisca, additional, Micarelli, Elisa, additional, Ang, Ching-Seng, additional, Nie, Shuai, additional, Varshney, Swati, additional, Ameen, Sadia, additional, Cheng, Heung-Chin, additional, and Williamson, Nicholas A, additional
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- 2020
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17. Assessment of network module identification across complex diseases
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Choobdar, Sarvenaz, Ahsen, Mehmet E., Natoli, Ted, Lysenko, Artem, Ma, Tianle, Mall, Raghvendra, Marbach, Daniel, Mattia, Tomasoni, Medvedovic, Mario, Menche, Jörg, Mercer, Johnathan, Micarelli, Elisa, Monaco, Alfonso, Narayan, Rajiv, Müller, Felix, Narykov, Oleksandr, Norman, Thea, Park, Sungjoon, Perfetto, Livia, Perrin, Dimitri, Pirrò, Stefano, Przytycka, Teresa M., DREAM Module Identification Challenge Consortium, Qian, Xiaoning, Raman, Karthik, Ramazzotti, Daniele, Ramsahai, Emilie, Ravindran, Balaraman, Rennert, Philip, Sáez Rodríguez, Julio, Schärfe, Charlotta, Sharan, Roded, Shi, Ning, Subramanian, Aravind, Shin, Wonho, Shu, Hai, Sinha, Himanshu, Slonim, Donna K., Spinelli, Lionel, Srinivasan, Suhas, Suver, Christine, Szklarczyk, Damian, Tangaro, Sabina, Zhang, Jitao D., Thiagarajan, Suresh, Tichit, Laurent, Tiede, Thorsten, Tripathi, Beethika, Tsherniak, Aviad, Tsunoda, Tatsuhiko, Türei, Dénes, Ullah, Ehsan, Vahedi, Golnaz, Valdeolivas, Alberto, Stolovitzky, Gustavo, Vivek, Jayaswal, von Mering, Christian, Waagmeester, Andra, Wang, Bo, Wang, Yijie, Weir, Barbara A., White, Shana, Winkler, Sebastian, Xu, Ke, Xu, Taosheng, Kutalik, Zoltán, Yan, Chunhua, Yang, Liuqing, Yu, Kaixian, Yu, Xiangtian, Zaffaroni, Gaia, Zaslavskiy, Mikhail, Zeng, Tao, Zhang, Lu, Zhang, Weijia, Lage, Kasper, Zhang, Lixia, Zhang, Xinyu, Zhang, Junpeng, Zhou, Xin, Zhou, Jiarui, Zhu, Hongtu, Zhu, Junjie, Zuccon, Guido, Crawford, Jake, Cowen, Lenore J., Bergmann, Sven, Aicheler, Fabian, Amoroso, Nicola, Arenas, Alex, Azhagesan, Karthik, Baker, Aaron, Banf, Michael, Batzoglou, Serafim, Tomasoni, Mattia, Baudot, Anaïs, Bellotti, Roberto, Boroevich, Keith A., Brun, Christine, Cai, Stanley, Caldera, Michael, Calderone, Alberto, Cesareni, Gianni, Chen, Weiqi, Fang, Tao, Chichester, Christine, Cowen, Lenore, Cui, Hongzhu, Dao, Phuong, De Domenico, Manlio, Dhroso, Andi, Didier, Gilles, Divine, Mathew, Lamparter, David, Del Sol, Antonio, Feng, Xuyang, Flores-Canales, Jose C., Fortunato, Santo, Gitter, Anthony, Gorska, Anna, Guan, Yuanfang, Guénoche, Alain, Gómez, Sergio, Lin, Junyuan, Hamza, Hatem, Hartmann, András, He, Shan, Heijs, Anton, Heinrich, Julian, Hescott, Benjamin, Hu, Xiaozhe, Hu, Ying, Huang, Xiaoqing, Hughitt, V. Keith, Jeon, Minji, Jeub, Lucas, Johnson, Nathan T., Joo, Keehyoung, Joung, InSuk, Jung, Sascha, Kalko, Susana G., Kamola, Piotr J., Kang, Jaewoo, Kaveelerdpotjana, Benjapun, Kim, Minjun, Kim, Yoo-Ah, Kohlbacher, Oliver, Korkin, Dmitry, Krzysztof, Kiryluk, Kunji, Khalid, Kutalik, Zoltàn, Lang-Brown, Sean, Le, Thuc Duy, Lee, Jooyoung, Lee, Sunwon, Lee, Juyong, Li, Dong, Li, Jiuyong, Liu, Lin, Loizou, Antonis, Luo, Zhenhua, Choobdar, Sarvenaz, Ahsen, Mehmet E., Crawford, Jake, Tomasoni, Mattia, Le, Thuc Duy, Li, Jiuyong, Liu, Lin, Zhang, W, Marbach, D, The DREAM Module Identification Challenge Consortium, Choobdar, S, Ahsen, M, Crawford, J, Tomasoni, M, Fang, T, Lamparter, D, Lin, J, Hescott, B, Hu, X, Mercer, J, Natoli, T, Narayan, R, Aicheler, F, Amoroso, N, Arenas, A, Azhagesan, K, Baker, A, Banf, M, Batzoglou, S, Baudot, A, Bellotti, R, Bergmann, S, Boroevich, K, Brun, C, Cai, S, Caldera, M, Calderone, A, Cesareni, G, Chen, W, Chichester, C, Cowen, L, Cui, H, Dao, P, De Domenico, M, Dhroso, A, Didier, G, Divine, M, del Sol, A, Feng, X, Flores-Canales, J, Fortunato, S, Gitter, A, Gorska, A, Guan, Y, Guenoche, A, Gomez, S, Hamza, H, Hartmann, A, He, S, Heijs, A, Heinrich, J, Hu, Y, Huang, X, Hughitt, V, Jeon, M, Jeub, L, Johnson, N, Joo, K, Joung, I, Jung, S, Kalko, S, Kamola, P, Kang, J, Kaveelerdpotjana, B, Kim, M, Kim, Y, Kohlbacher, O, Korkin, D, Krzysztof, K, Kunji, K, Kutalik, Z, Lage, K, Lang-Brown, S, Le, T, Lee, J, Lee, S, Li, D, Li, J, Liu, L, Loizou, A, Luo, Z, Lysenko, A, Ma, T, Mall, R, Mattia, T, Medvedovic, M, Menche, J, Micarelli, E, Monaco, A, Muller, F, Narykov, O, Norman, T, Park, S, Perfetto, L, Perrin, D, Pirro, S, Przytycka, T, Qian, X, Raman, K, Ramazzotti, D, Ramsahai, E, Ravindran, B, Rennert, P, Saez-Rodriguez, J, Scharfe, C, Sharan, R, Shi, N, Shin, W, Shu, H, Sinha, H, Slonim, D, Spinelli, L, Srinivasan, S, Subramanian, A, Suver, C, Szklarczyk, D, Tangaro, S, Thiagarajan, S, Tichit, L, Tiede, T, Tripathi, B, Tsherniak, A, Tsunoda, T, Turei, D, Ullah, E, Vahedi, G, Valdeolivas, A, Vivek, J, von Mering, C, Waagmeester, A, Wang, B, Wang, Y, Weir, B, White, S, Winkler, S, Xu, K, Xu, T, Yan, C, Yang, L, Yu, K, Yu, X, Zaffaroni, G, Zaslavskiy, M, Zeng, T, Zhang, J, Zhang, L, Zhang, X, Zhou, X, Zhou, J, Zhu, H, Zhu, J, Zuccon, G, Stolovitzky, G, Spinelli, Lionel, Institut de Mathématiques de Marseille (I2M), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Marseille medical genetics - Centre de génétique médicale de Marseille (MMG), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Theories and Approaches of Genomic Complexity (TAGC), DREAM Module Identification Challenge Consortium, Aicheler, F., Amoroso, N., Arenas, A., Azhagesan, K., Baker, A., Banf, M., Batzoglou, S., Baudot, A., Bellotti, R., Bergmann, S., Boroevich, K.A., Brun, C., Cai, S., Caldera, M., Calderone, A., Cesareni, G., Chen, W., Chichester, C., Choobdar, S., Cowen, L., Crawford, J., Cui, H., Dao, P., De Domenico, M., Dhroso, A., Didier, G., Divine, M., Del Sol, A., Fang, T., Feng, X., Flores-Canales, J.C., Fortunato, S., Gitter, A., Gorska, A., Guan, Y., Guénoche, A., Gómez, S., Hamza, H., Hartmann, A., He, S., Heijs, A., Heinrich, J., Hescott, B., Hu, X., Hu, Y., Huang, X., Hughitt, V.K., Jeon, M., Jeub, L., Johnson, N.T., Joo, K., Joung, I., Jung, S., Kalko, S.G., Kamola, P.J., Kang, J., Kaveelerdpotjana, B., Kim, M., Kim, Y.A., Kohlbacher, O., Korkin, D., Krzysztof, K., Kunji, K., Kutalik, Z., Lage, K., Lamparter, D., Lang-Brown, S., Le, T.D., Lee, J., Lee, S., Li, D., Li, J., Lin, J., Liu, L., Loizou, A., Luo, Z., Lysenko, A., Ma, T., Mall, R., Marbach, D., Mattia, T., Medvedovic, M., Menche, J., Mercer, J., Micarelli, E., Monaco, A., Müller, F., Narayan, R., Narykov, O., Natoli, T., Norman, T., Park, S., Perfetto, L., Perrin, D., Pirrò, S., Przytycka, T.M., Qian, X., Raman, K., Ramazzotti, D., Ramsahai, E., Ravindran, B., Rennert, P., Saez-Rodriguez, J., Schärfe, C., Sharan, R., Shi, N., Shin, W., Shu, H., Sinha, H., Slonim, D.K., Spinelli, L., Srinivasan, S., Subramanian, A., Suver, C., Szklarczyk, D., Tangaro, S., Thiagarajan, S., Tichit, L., Tiede, T., Tripathi, B., Tsherniak, A., Tsunoda, T., Türei, D., Ullah, E., Vahedi, G., Valdeolivas, A., Vivek, J., von Mering, C., Waagmeester, A., Wang, B., Wang, Y., Weir, B.A., White, S., Winkler, S., Xu, K., Xu, T., Yan, C., Yang, L., Yu, K., Yu, X., Zaffaroni, G., Zaslavskiy, M., Zeng, T., Zhang, J.D., Zhang, L., Zhang, W., Zhang, X., Zhang, J., Zhou, X., Zhou, J., Zhu, H., Zhu, J., and Zuccon, G.
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Identification methods ,Cellular signalling networks ,Computer science ,Population genetics ,[SDV]Life Sciences [q-bio] ,Quantitative Trait Loci ,Gene regulatory network ,DREAM challenge ,network ,modules ,predictions ,Genome-wide association study ,Computational biology ,Biochemistry ,Models, Biological ,Polymorphism, Single Nucleotide ,Gene regulatory networks ,Functional clustering ,03 medical and health sciences ,Human disease ,Humans ,Disease ,ddc:610 ,Protein Interaction Maps ,Molecular Biology ,ComputingMilieux_MISCELLANEOUS ,030304 developmental biology ,0303 health sciences ,Network module ,[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,Network topology ,Gene Expression Profiling ,Computational Biology ,Cell Biology ,[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,Gene expression profiling ,[SDV] Life Sciences [q-bio] ,Molecular network ,Phenotype ,Protein network ,Network Module Identification ,Analysis ,Algorithms ,Biotechnology ,Genome-Wide Association Study - Abstract
Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare to each other in terms of their ability to identify disease-relevant modules in different types of network remains poorly understood. We launched the ‘Disease Module Identification DREAM Challenge’, an open competition to comprehensively assess module identification methods across diverse protein–protein interaction, signaling, gene co-expression, homology and cancer-gene networks. Predicted network modules were tested for association with complex traits and diseases using a unique collection of 180 genome-wide association studies. Our robust assessment of 75 module identification methods reveals top-performing algorithms, which recover complementary trait-associated modules. We find that most of these modules correspond to core disease-relevant pathways, which often comprise therapeutic targets. This community challenge establishes biologically interpretable benchmarks, tools and guidelines for molecular network analysis to study human disease biology., In this DREAM challenge, 75 methods for the identification of disease-relevant modules from molecular networks are compared and validated with GWAS data. The authors provide practical guidelines for users and establish benchmarks for network analysis.
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- 2019
18. Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases
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Choobdar, Sarvenaz, Ahsen, Mehmet E., Crawford, Jake, Tomasoni, Mattia, Fang, Tao, Lamparter, David, Lin, Junyuan, Hescott, Benjamin, Hu, Xiaozhe, Mercer, Johnathan, Natoli, Ted, Narayan, Rajiv, Subramanian, Aravind, Zhang, Jitao D., Stolovitzky, Gustavo, Kutalik, Zoltán, Lage, Kasper, Slonim, Donna K., Saez-Rodriguez, Julio, Cowen, Lenore J., Bergmann, Sven, Marbach, Daniel, Aicheler, Fabian, Amoroso, Nicola, Arenas, Alex, Azhagesan, Karthik, Baker, Aaron, Banf, Michael, Batzoglou, Serafim, Baudot, Anaïs, Bellotti, Roberto, Boroevich, Keith A., Brun, Christine, Cai, Stanley, Caldera, Michael, Calderone, Alberto, Cesareni, Gianni, Chen, Weiqi, Chichester, Christine, Cowen, Lenore, Cui, Hongzhu, Dao, Phuong, Domenico, Manlio De, Dhroso, Andi, Didier, Gilles, Divine, Mathew, Sol, Antonio del, Feng, Xuyang, Flores-Canales, Jose C., Fortunato, Santo, Gitter, Anthony, Gorska, Anna, Guan, Yuanfang, Guénoche, Alain, Gómez, Sergio, Hamza, Hatem, Hartmann, András, He, Shan, Heijs, Anton, Heinrich, Julian, Hu, Ying, Huang, Xiaoqing, Hughitt, V. Keith, Jeon, Minji, Jeub, Lucas, Johnson, Nathan, Joo, Keehyoung, Joung, InSuk, Jung, Sascha, Kalko, Susana G., Kamola, Piotr J., Kang, Jaewoo, Kaveelerdpotjana, Benjapun, Kim, Minjun, Kim, Yoo-Ah, Kohlbacher, Oliver, Korkin, Dmitry, Krzysztof, Kiryluk, Kunji, Khalid, Kutalik, Zoltàn, Lang-Brown, Sean, Le, Thuc Duy, Lee, Jooyoung, Lee, Sunwon, Lee, Juyong, Li, Dong, Li, Jiuyong, Liu, Lin, Loizou, Antonis, Luo, Zhenhua, Lysenko, Artem, Ma, Tianle, Mall, Raghvendra, Mattia, Tomasoni, Medvedovic, Mario, Menche, Jörg, Micarelli, Elisa, Monaco, Alfonso, Müller, Felix, Narykov, Oleksandr, Norman, Thea, Park, Sungjoon, Perfetto, Livia, Perrin, Dimitri, Pirrò, Stefano, Przytycka, Teresa M., Qian, Xiaoning, Raman, Karthik, Ramazzotti, Daniele, Ramsahai, Emilie, Ravindran, Balaraman, Rennert, Philip, Schärfe, Charlotta, Sharan, Roded, Shi, Ning, Shin, Wonho, Shu, Hai, Sinha, Himanshu, Spinelli, Lionel, Srinivasan, Suhas, Suver, Christine, Szklarczyk, Damian, Tangaro, Sabina, Thiagarajan, Suresh, Tichit, Laurent, Tiede, Thorsten, Tripathi, Beethika, Tsherniak, Aviad, Tsunoda, Tatsuhiko, Türei, Dénes, Ullah, Ehsan, Vahedi, Golnaz, Valdeolivas, Alberto, Vivek, Jayaswal, Mering, Christian von, Waagmeester, Andra, Wang, Bo, Wang, Yijie, Weir, Barbara A., White, Shana, Winkler, Sebastian, Xu, Ke, Xu, Taosheng, Yan, Chunhua, Yang, Liuqing, Yu, Kaixian, Yu, Xiangtian, Zaffaroni, Gaia, Zaslavskiy, Mikhail, Zeng, Tao, Zhang, Lu, Zhang, Weijia, Zhang, Lixia, Zhang, Xinyu, Zhang, Junpeng, Zhou, Xin, Zhou, Jiarui, Zhu, Hongtu, Zhu, Junjie, and Zuccon, Guido
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Identification methods ,Molecular network ,Computer science ,Association (object-oriented programming) ,Key (cryptography) ,Open community ,Genome-wide association study ,Identification (biology) ,Computational biology ,Disease - Abstract
Identification of modules in molecular networks is at the core of many current analysis methods in biomedical research. However, how well different approaches identify disease-relevant modules in different types of gene and protein networks remains poorly understood. We launched the “Disease Module Identification DREAM Challenge”, an open competition to comprehensively assess module identification methods across diverse protein-protein interaction, signaling, gene co-expression, homology, and cancer-gene networks. Predicted network modules were tested for association with complex traits and diseases using a unique collection of 180 genome-wide association studies (GWAS). Our critical assessment of 75 contributed module identification methods reveals novel top-performing algorithms, which recover complementary trait-associated modules. We find that most of these modules correspond to core disease-relevant pathways, which often comprise therapeutic targets and correctly prioritize candidate disease genes. This community challenge establishes benchmarks, tools and guidelines for molecular network analysis to study human disease biology (https://synapse.org/modulechallenge).
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- 2018
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19. SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
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Licata, Luana, primary, Lo Surdo, Prisca, additional, Iannuccelli, Marta, additional, Palma, Alessandro, additional, Micarelli, Elisa, additional, Perfetto, Livia, additional, Peluso, Daniele, additional, Calderone, Alberto, additional, Castagnoli, Luisa, additional, and Cesareni, Gianni, additional
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- 2019
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20. CancerGeneNet: linking driver genes to cancer hallmarks
- Author
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Iannuccelli, Marta, primary, Micarelli, Elisa, additional, Surdo, Prisca Lo, additional, Palma, Alessandro, additional, Perfetto, Livia, additional, Rozzo, Ilaria, additional, Castagnoli, Luisa, additional, Licata, Luana, additional, and Cesareni, Gianni, additional
- Published
- 2019
- Full Text
- View/download PDF
21. Myo-REG: A Portal for Signaling Interactions in Muscle Regeneration
- Author
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Palma, Alessandro, primary, Cerquone Perpetuini, Andrea, additional, Ferrentino, Federica, additional, Fuoco, Claudia, additional, Gargioli, Cesare, additional, Giuliani, Giulio, additional, Iannuccelli, Marta, additional, Licata, Luana, additional, Micarelli, Elisa, additional, Paoluzi, Serena, additional, Perfetto, Livia, additional, Petrilli, Lucia Lisa, additional, Reggio, Alessio, additional, Rosina, Marco, additional, Sacco, Francesca, additional, Vumbaca, Simone, additional, Zuccotti, Alessandro, additional, Castagnoli, Luisa, additional, and Cesareni, Gianni, additional
- Published
- 2019
- Full Text
- View/download PDF
22. Fibro-adipogenic progenitors of dystrophic mice are insensitive to NOTCH regulation of adipogenesis
- Author
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Marinkovic, Milica, primary, Fuoco, Claudia, additional, Sacco, Francesca, additional, Cerquone Perpetuini, Andrea, additional, Giuliani, Giulio, additional, Micarelli, Elisa, additional, Pavlidou, Theodora, additional, Petrilli, Lucia Lisa, additional, Reggio, Alessio, additional, Riccio, Federica, additional, Spada, Filomena, additional, Vumbaca, Simone, additional, Zuccotti, Alessandro, additional, Castagnoli, Luisa, additional, Mann, Matthias, additional, Gargioli, Cesare, additional, and Cesareni, Gianni, additional
- Published
- 2019
- Full Text
- View/download PDF
23. Adipogenesis of Skeletal Muscle Fibro/Adipogenic Progenitors is Controlled by the WNT5a/GSK3/β-Catenin Axis
- Author
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Reggio, Alessio, primary, Rosina, Marco, additional, Cerquone Perpetuini, Andrea, additional, Palma, Alessandro, additional, Petrilli, Lucia Lisa, additional, Gargioli, Cesare, additional, Fuoco, Claudia, additional, Micarelli, Elisa, additional, Giuliani, Giulio, additional, Cerretani, Mauro, additional, Bresciani, Alberto, additional, Sacco, Francesca, additional, Castagnoli, Luisa, additional, and Cesareni, Gianni, additional
- Published
- 2019
- Full Text
- View/download PDF
24. SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update.
- Author
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Licata, Luana, Lo Surdo, Prisca, Iannuccelli, Marta, Palma, Alessandro, Micarelli, Elisa, Perfetto, Livia, Peluso, Daniele, Calderone, Alberto, Castagnoli, Luisa, and Cesareni, Gianni
- Published
- 2020
- Full Text
- View/download PDF
25. CancerGeneNet: linking driver genes to cancer hallmarks.
- Author
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Iannuccelli, Marta, Micarelli, Elisa, Surdo, Prisca Lo, Palma, Alessandro, Perfetto, Livia, Rozzo, Ilaria, Castagnoli, Luisa, Licata, Luana, and Cesareni, Gianni
- Published
- 2020
- Full Text
- View/download PDF
26. Single-cell quantitative analysis of skeletal muscle cell population dynamics during regeneration and ageing
- Author
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Petrilli, Lucia Lisa, primary, Spada, Filomena, additional, Fuoco, Claudia, additional, Micarelli, Elisa, additional, Reggio, Alessio, additional, Rosina, Marco, additional, Gargioli, Cesare, additional, Castagnoli, Luisa, additional, and Cesareni, Gianni, additional
- Published
- 2017
- Full Text
- View/download PDF
27. Skeletal muscle fibro-adipogenic progenitors of dystrophic mice are insensitive to NOTCH-dependent regulation of adipogenesis
- Author
-
Marinkovic, Milica, primary, Sacco, Francesca, additional, Spada, Filomena, additional, Petrilli, Lucia Lisa, additional, Fuoco, Claudia, additional, Micarelli, Elisa, additional, Pavlidou, Theodora, additional, Castagnoli, Luisa, additional, Mann, Matthias, additional, Gargioli, Cesare, additional, and Cesareni, Gianni, additional
- Published
- 2017
- Full Text
- View/download PDF
28. Vestibular impairment in Multiple Chemical Sensitivity: Component analysis findings
- Author
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Micarelli, Alessandro, primary, Viziano, Andrea, additional, Bruno, Ernesto, additional, Micarelli, Elisa, additional, and Alessandrini, Marco, additional
- Published
- 2017
- Full Text
- View/download PDF
29. Deranged Dimensionality of Vestibular Re-Weighting in Multiple Chemical Sensitivity
- Author
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Micarelli, Alessandro, primary, Viziano, Andrea, additional, Micarelli, Elisa, additional, Genovesi, Giuseppe, additional, Bruno, Ernesto, additional, and Alessandrini, Marco, additional
- Published
- 2016
- Full Text
- View/download PDF
30. Vestibular impairment in Multiple Chemical Sensitivity: Component analysis findings.
- Author
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Micarelli, Alessandro, Viziano, Andrea, Bruno, Ernesto, Micarelli, Elisa, and Alessandrini, Marco
- Subjects
VESTIBULAR apparatus diseases ,MULTIPLE chemical sensitivity ,PHYSIOLOGICAL effects of chemicals ,CENTRAL nervous system abnormalities ,PRINCIPAL components analysis ,NEUROTOLOGY ,DIAGNOSIS - Abstract
Multiple chemical sensitivity (MCS) is a common clinical diagnosis in western populations and its symptoms are thought to be mainly related to chemical compounds exposure. Although MCS subjects refer to complain from many central nervous system symptoms, including dizziness, no study to now deepened vestibular detriment nor to what extent such an impairment could worsen MCS. Thus, the purpose of present study was to objectively highlight those clinical/subclinical aspects of vestibular impairment that could be related to MCS symptoms cohorts. A principal component analysis within a wide battery of otoneurological test scores was employed in 18 right-handed MCS patients and 20 sex- and age-matched healthy individuals. A deranged dimensionality in near-optimal re-weighting within otoneurological variables was found in MCS as compared with healthy subjects. These data seem to support the idea that MCS physiopathological underpinnings could lead to a peripheral and higher vestibular decay that could be addressed as a further aspect to better follow MCS patients up along natural history of disease in clinical practice. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
31. Phosphomatics: interactive interrogation of substrate–kinase networks in global phosphoproteomics datasets.
- Author
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Leeming, Michael G, O'Callaghan, Sean, Licata, Luana, Iannuccelli, Marta, Surdo, Prisca Lo, Micarelli, Elisa, Ang, Ching-Seng, Nie, Shuai, Varshney, Swati, Ameen, Sadia, Cheng, Heung-Chin, and Williamson, Nicholas A
- Subjects
PHOSPHORYLATION ,PROTEIN-protein interactions ,KINASES ,PEPTIDES ,BIOINFORMATICS ,INTERNET - Abstract
Motivation Mass spectrometry-based phosphoproteomics can routinely identify and quantify thousands of phosphorylated peptides from a single experiment. However interrogating possible upstream kinases and identifying key literature for phosphorylation sites is laborious and time-consuming. Results Here, we present Phosphomatics —a publicly available web resource for interrogating phosphoproteomics data. Phosphomatics allows researchers to upload phosphoproteomics data and interrogate possible relationships from a substrate-, kinase- or pathway-centric viewpoint. Availability and implementation Phosphomatics is freely available via the internet at: https://phosphomatics.com. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
32. Adenoviral-based vaccine promotes neoantigen-specific CD8+T cell stemness and tumor rejection
- Author
-
D’Alise, Anna Morena, Brasu, Nadia, De Intinis, Carlo, Leoni, Guido, Russo, Valentina, Langone, Francesca, Baev, Denis, Micarelli, Elisa, Petiti, Luca, Picelli, Simone, Fakih, Marwan, Le, Dung T., Overman, Michael J., Shields, Anthony F., Pedersen, Katrina S., Shah, Manish A., Mukherjee, Sarbajit, Faivre, Thea, Delaite, Patricia, Scarselli, Elisa, and Pace, Luigia
- Abstract
Upon chronic antigen exposure, CD8+T cells become exhausted, acquiring a dysfunctional state correlated with the inability to control infection or tumor progression. In contrast, stem-like CD8+T progenitors maintain the ability to promote and sustain effective immunity. Adenovirus (Ad)–vectored vaccines encoding tumor neoantigens have been shown to eradicate large tumors when combined with anti–programmed cell death protein 1 (αPD-1) in murine models; however, the mechanisms and translational potential have not yet been elucidated. Here, we show that gorilla Ad vaccine targeting tumor neoepitopes enhances responses to αPD-1 therapy by improving immunogenicity and antitumor efficacy. Single-cell RNA sequencing demonstrated that the combination of Ad vaccine and αPD-1 increased the number of murine polyfunctional neoantigen-specific CD8+T cells over αPD-1 monotherapy, with an accumulation of Tcf1+stem-like progenitors in draining lymph nodes and effector CD8+T cells in tumors. Combined T cell receptor (TCR) sequencing analysis highlighted a broader spectrum of neoantigen-specific CD8+T cells upon vaccination compared to αPD-1 monotherapy. The translational relevance of these data is supported by results obtained in the first 12 patients with metastatic deficient mismatch repair (dMMR) tumors vaccinated with an Ad vaccine encoding shared neoantigens. Expansion and diversification of TCRs were observed in post-treatment biopsies of patients with clinical response, as well as an increase in tumor-infiltrating T cells with an effector memory signature. These findings indicate a promising mechanism to overcome resistance to PD-1 blockade by promoting immunogenicity and broadening the spectrum and magnitude of neoantigen-specific T cells infiltrating tumors.
- Published
- 2022
- Full Text
- View/download PDF
33. Assessment of network module identification across complex diseases
- Author
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Choobdar, Sarvenaz, Ahsen, Mehmet E., Crawford, Jake, Tomasoni, Mattia, Fang, Tao, Lamparter, David, Lin, Junyuan, Hescott, Benjamin, Hu, Xiaozhe, Mercer, Johnathan, Natoli, Ted, Narayan, Rajiv, Subramanian, Aravind, Zhang, Jitao D., Stolovitzky, Gustavo, Kutalik, Zoltán, Lage, Kasper, Slonim, Donna K., Sáez Rodríguez, Julio, Cowen, Lenore J., Bergmann, Sven, Marbach, Daniel, Aicheler, Fabian, Amoroso, Nicola, Arenas, Alex, Azhagesan, Karthik, Baker, Aaron, Banf, Michael, Batzoglou, Serafim, Baudot, Anaïs, Bellotti, Roberto, Boroevich, Keith A., Brun, Christine, Cai, Stanley, Caldera, Michael, Calderone, Alberto, Cesareni, Gianni, Chen, Weiqi, Chichester, Christine, Cowen, Lenore, Cui, Hongzhu, Dao, Phuong, De Domenico, Manlio, Dhroso, Andi, Didier, Gilles, Divine, Mathew, Del Sol, Antonio, Feng, Xuyang, Flores-Canales, Jose C., Fortunato, Santo, Gitter, Anthony, Gorska, Anna, Guan, Yuanfang, Guénoche, Alain, Gómez, Sergio, Hamza, Hatem, Hartmann, András, He, Shan, Heijs, Anton, Heinrich, Julian, Hu, Ying, Huang, Xiaoqing, Hughitt, V. Keith, Jeon, Minji, Jeub, Lucas, Johnson, Nathan T., Joo, Keehyoung, Joung, InSuk, Jung, Sascha, Kalko, Susana G., Kamola, Piotr J., Kang, Jaewoo, Kaveelerdpotjana, Benjapun, Kim, Minjun, Kim, Yoo-Ah, Kohlbacher, Oliver, Korkin, Dmitry, Krzysztof, Kiryluk, Kunji, Khalid, Kutalik, Zoltàn, Lang-Brown, Sean, Le, Thuc Duy, Lee, Jooyoung, Lee, Sunwon, Lee, Juyong, Li, Dong, Li, Jiuyong, Liu, Lin, Loizou, Antonis, Luo, Zhenhua, Lysenko, Artem, Ma, Tianle, Mall, Raghvendra, Mattia, Tomasoni, Medvedovic, Mario, Menche, Jörg, Micarelli, Elisa, Monaco, Alfonso, Müller, Felix, Narykov, Oleksandr, Norman, Thea, Park, Sungjoon, Perfetto, Livia, Perrin, Dimitri, Pirrò, Stefano, Przytycka, Teresa M., Qian, Xiaoning, Raman, Karthik, Ramazzotti, Daniele, Ramsahai, Emilie, Ravindran, Balaraman, Rennert, Philip, Schärfe, Charlotta, Sharan, Roded, Shi, Ning, Shin, Wonho, Shu, Hai, Sinha, Himanshu, Spinelli, Lionel, Srinivasan, Suhas, Suver, Christine, Szklarczyk, Damian, Tangaro, Sabina, Thiagarajan, Suresh, Tichit, Laurent, Tiede, Thorsten, Tripathi, Beethika, Tsherniak, Aviad, Tsunoda, Tatsuhiko, Türei, Dénes, Ullah, Ehsan, Vahedi, Golnaz, Valdeolivas, Alberto, Vivek, Jayaswal, Von Mering, Christian, Waagmeester, Andra, Wang, Bo, Wang, Yijie, Weir, Barbara A., White, Shana, Winkler, Sebastian, Xu, Ke, Xu, Taosheng, Yan, Chunhua, Yang, Liuqing, Yu, Kaixian, Yu, Xiangtian, Zaffaroni, Gaia, Zaslavskiy, Mikhail, Zeng, Tao, Zhang, Lu, Zhang, Weijia, Zhang, Lixia, Zhang, Xinyu, Zhang, Junpeng, Zhou, Xin, Zhou, Jiarui, Zhu, Hongtu, Zhu, Junjie, and Zuccon, Guido
- Subjects
3. Good health - Abstract
Nature methods 16(9), 843-852 (2019). doi:10.1038/s41592-019-0509-5, Published by Nature Publishing Group, London [u.a.]
34. Vector Aided Microenvironment programming (VAMP): reprogramming the TME with MVA virus expressing IL-12 for effective antitumor activity.
- Author
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Seclì L, Infante L, Nocchi L, De Lucia M, Cotugno G, Leoni G, Micarelli E, Garzia I, Avalle L, Sdruscia G, Troise F, Allocca S, Romano G, Scarselli E, and D'Alise AM
- Subjects
- Humans, Mice, Animals, Tumor Microenvironment, Vaccinia virus genetics, Cytokines metabolism, Interleukin-12 genetics, Interleukin-12 pharmacology, Neoplasms pathology
- Abstract
Background: Tumor microenvironment (TME) represents a critical hurdle in cancer immunotherapy, given its ability to suppress antitumor immunity. Several efforts are made to overcome this hostile TME with the development of new therapeutic strategies modifying TME to boost antitumor immunity. Among these, cytokine-based approaches have been pursued for their known immunomodulatory effects on different cell populations within the TME. IL-12 is a potent pro-inflammatory cytokine that demonstrates striking immune activation and tumor control but causes severe adverse effects when systemically administered. Thus, local administration is considered a potential strategy to achieve high cytokine concentrations at the tumor site while sparing systemic adverse effects., Methods: Modified Vaccinia Ankara (MVA) vector is a potent inducer of pro-inflammatory response. Here, we cloned IL-12 into the genome of MVA for intratumoral immunotherapy, combining the immunomodulatory properties of both the vector and the cargo. The antitumor activity of MVA-IL-12 and its effect on TME reprogramming were investigated in preclinical tumor models. RNA sequencing (RNA-Seq) analysis was performed to assess changes in the TME in treated and distal tumors and the effect on the intratumoral T-cell receptor repertoire., Results: Intratumoral injection of MVA-IL-12 resulted in strong antitumor activity with the complete remission of established tumors in multiple murine models, including those resistant to checkpoint inhibitors. The therapeutic activity of MVA-IL-12 was associated with very low levels of circulating cytokine. Effective TME reprogramming was demonstrated on treatment, with the reduction of immunosuppressive M2 macrophages while increasing pro-inflammatory M1, and recruitment of dendritic cells. TME switch from immunosuppressive into immunostimulatory environment allowed for CD8 T cells priming and expansion leading to tumor attack., Conclusions: Intratumoral administration of MVA-IL-12 turns immunologically 'cold' tumors 'hot' and overcomes resistance to programmed cell death protein-1 blockade., Competing Interests: Competing interests: ES is founder of Nouscom. AMD, LS, LI, LN, MDL, GC, GL, EM, IG, GS, FT, SA, GR are employees of Nouscom., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
- Full Text
- View/download PDF
35. Adenoviral-based vaccine promotes neoantigen-specific CD8 + T cell stemness and tumor rejection.
- Author
-
D'Alise AM, Brasu N, De Intinis C, Leoni G, Russo V, Langone F, Baev D, Micarelli E, Petiti L, Picelli S, Fakih M, Le DT, Overman MJ, Shields AF, Pedersen KS, Shah MA, Mukherjee S, Faivre T, Delaite P, Scarselli E, and Pace L
- Subjects
- Adenoviridae, Animals, Antigens, Neoplasm metabolism, Humans, Mice, Receptors, Antigen, T-Cell metabolism, CD8-Positive T-Lymphocytes, Neoplasms metabolism
- Abstract
Upon chronic antigen exposure, CD8
+ T cells become exhausted, acquiring a dysfunctional state correlated with the inability to control infection or tumor progression. In contrast, stem-like CD8+ T progenitors maintain the ability to promote and sustain effective immunity. Adenovirus (Ad)-vectored vaccines encoding tumor neoantigens have been shown to eradicate large tumors when combined with anti-programmed cell death protein 1 (αPD-1) in murine models; however, the mechanisms and translational potential have not yet been elucidated. Here, we show that gorilla Ad vaccine targeting tumor neoepitopes enhances responses to αPD-1 therapy by improving immunogenicity and antitumor efficacy. Single-cell RNA sequencing demonstrated that the combination of Ad vaccine and αPD-1 increased the number of murine polyfunctional neoantigen-specific CD8+ T cells over αPD-1 monotherapy, with an accumulation of Tcf1+ stem-like progenitors in draining lymph nodes and effector CD8+ T cells in tumors. Combined T cell receptor (TCR) sequencing analysis highlighted a broader spectrum of neoantigen-specific CD8+ T cells upon vaccination compared to αPD-1 monotherapy. The translational relevance of these data is supported by results obtained in the first 12 patients with metastatic deficient mismatch repair (dMMR) tumors vaccinated with an Ad vaccine encoding shared neoantigens. Expansion and diversification of TCRs were observed in post-treatment biopsies of patients with clinical response, as well as an increase in tumor-infiltrating T cells with an effector memory signature. These findings indicate a promising mechanism to overcome resistance to PD-1 blockade by promoting immunogenicity and broadening the spectrum and magnitude of neoantigen-specific T cells infiltrating tumors.- Published
- 2022
- Full Text
- View/download PDF
36. Vestibular impairment in Multiple Chemical Sensitivity: Component analysis findings.
- Author
-
Micarelli A, Viziano A, Bruno E, Micarelli E, and Alessandrini M
- Subjects
- Adult, Cohort Studies, Dizziness etiology, Female, Fourier Analysis, Head Impulse Test, Humans, Male, Middle Aged, Multiple Chemical Sensitivity diagnosis, Multiple Chemical Sensitivity physiopathology, Neurologic Examination, Principal Component Analysis, Vertigo etiology, Vestibular Diseases diagnosis, Vestibular Diseases physiopathology, Vestibular Function Tests, Multiple Chemical Sensitivity complications, Vestibular Diseases etiology
- Abstract
Multiple chemical sensitivity (MCS) is a common clinical diagnosis in western populations and its symptoms are thought to be mainly related to chemical compounds exposure. Although MCS subjects refer to complain from many central nervous system symptoms, including dizziness, no study to now deepened vestibular detriment nor to what extent such an impairment could worsen MCS. Thus, the purpose of present study was to objectively highlight those clinical/subclinical aspects of vestibular impairment that could be related to MCS symptoms cohorts. A principal component analysis within a wide battery of otoneurological test scores was employed in 18 right-handed MCS patients and 20 sex- and age-matched healthy individuals. A deranged dimensionality in near-optimal re-weighting within otoneurological variables was found in MCS as compared with healthy subjects. These data seem to support the idea that MCS physiopathological underpinnings could lead to a peripheral and higher vestibular decay that could be addressed as a further aspect to better follow MCS patients up along natural history of disease in clinical practice.
- Published
- 2016
- Full Text
- View/download PDF
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