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Peimbert M, Alcaraz LD. Where environmental microbiome meets its host: subway and passenger microbiome relationships. Mol Ecol 2022; 32:2602-2618. [PMID: 35318755 DOI: 10.1111/mec.16440] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 12/17/2022]
Abstract
Subways are urban transport systems with high capacity. Every day around the world, there are more than 150 million subway passengers. Since 2013, thousands of microbiome samples from various subways worldwide have been sequenced. Skin bacteria and environmental organisms dominate the subway microbiomes. The literature has revealed common bacterial groups in subway systems; even so, it is possible to identify cities by their microbiome. Low-frequency bacteria are responsible for specific bacterial fingerprints of each subway system. Furthermore, daily subway commuters leave their microbial clouds and interact with other passengers. Microbial exchange is quite fast; the hand microbiome changes within minutes, and after cleaning the handrails, the bacteria are re-established within minutes. To investigate new taxa and metabolic pathways of subway microbial communities, several high-quality metagenomic-assembled genomes (MAG) have been described. Subways are harsh environments unfavorable for microorganism growth. However, recent studies have observed a wide diversity of viable and metabolically active bacteria. Understanding which bacteria are living, dormant, or dead allows us to propose realistic ecological interactions. Questions regarding the relationship between humans and the subway microbiome, particularly the microbiome effects on personal and public health, remain unanswered. This review summarizes our knowledge of subway microbiomes and their relationship with passenger microbiomes.
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Affiliation(s)
- Mariana Peimbert
- Departamento de Ciencias Naturales, Unidad Cuajimalpa, Universidad Autónoma Metropolitana. Ciudad de México, México
| | - Luis D Alcaraz
- Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México
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2
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Sun Q, Melino G, Amelio I, Jiang J, Wang Y, Shi Y. Recent advances in cancer immunotherapy. Discov Oncol 2021; 12:27. [PMID: 35201440 PMCID: PMC8777500 DOI: 10.1007/s12672-021-00422-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/05/2021] [Indexed: 12/16/2022] Open
Abstract
Cancer immunotherapy represents a major advance in the cure of cancer following the dramatic advancements in the development and refinement of chemotherapies and radiotherapies. In the recent decades, together with the development of early diagnostic techniques, immunotherapy has significantly contributed to improving the survival of cancer patients. The immune-checkpoint blockade agents have been proven effective in a significant fraction of standard therapy refractory patients. Importantly, recent advances are providing alternative immunotherapeutic tools that could help overcome their limitations. In this mini review, we provide an overview on the main steps of the discovery of classic immune-checkpoint blockade agents and summarise the most recent development of novel immunotherapeutic strategies, such as tumour antigens, bispecific antibodies and TCR-engineered T cells.
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Affiliation(s)
- Qiang Sun
- Laboratory of Cell Engineering, Institute of Biotechnology, Beijing, China
- Research Unit of Cell Death Mechanism, Chinese Academy of Medical Science, Beijing, China
| | - Gerry Melino
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133 Rome, Italy
- DZNE German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Ivano Amelio
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133 Rome, Italy
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Jingting Jiang
- The Third Affiliated Hospital of Soochow University and State Key Laboratory of Radiation Medicine and Protection, Institutes for Translational Medicine, Soochow University, 199 Renai Road, Suzhou, 215123 Jiangsu China
| | - Ying Wang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031 China
| | - Yufang Shi
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133 Rome, Italy
- The Third Affiliated Hospital of Soochow University and State Key Laboratory of Radiation Medicine and Protection, Institutes for Translational Medicine, Soochow University, 199 Renai Road, Suzhou, 215123 Jiangsu China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031 China
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3
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Amelio I, Melino G, Levine AJ. Bispecific antibodies come to the aid of cancer immunotherapy. Mol Oncol 2021; 15:1759-1763. [PMID: 33942515 PMCID: PMC8253090 DOI: 10.1002/1878-0261.12977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 04/25/2021] [Accepted: 04/30/2021] [Indexed: 12/12/2022] Open
Abstract
Three collaborative studies published by the groups of Vogelstein, Gabelli, and Zhou report the development of specially designed bispecific antibodies that may help in overcoming the limitations of current immunotherapies. The bispecific antibodies have been designed to couple cells harboring HLA-presented tumor-specific antigens from Tp53 mutant or Ras mutant with CD4 and CD8 T cells, thus facilitating immune-mediated clearance of the cancer cells.
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Affiliation(s)
- Ivano Amelio
- Department of Experimental Medicine, University of Rome Tor Vergata, TOR, Rome, Italy.,School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Gerry Melino
- Department of Experimental Medicine, University of Rome Tor Vergata, TOR, Rome, Italy
| | - Arnold J Levine
- Institute for Advanced Study, Simons Center for Systems Biology, Princeton, NJ, USA
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Anyaso-Samuel S, Sachdeva A, Guha S, Datta S. Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier. Front Genet 2021; 12:642282. [PMID: 33959149 PMCID: PMC8093763 DOI: 10.3389/fgene.2021.642282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/18/2021] [Indexed: 11/13/2022] Open
Abstract
Microbiome samples harvested from urban environments can be informative in predicting the geographic location of unknown samples. The idea that different cities may have geographically disparate microbial signatures can be utilized to predict the geographical location based on city-specific microbiome samples. We implemented this idea first; by utilizing standard bioinformatics procedures to pre-process the raw metagenomics samples provided by the CAMDA organizers. We trained several component classifiers and a robust ensemble classifier with data generated from taxonomy-dependent and taxonomy-free approaches. Also, we implemented class weighting and an optimal oversampling technique to overcome the class imbalance in the primary data. In each instance, we observed that the component classifiers performed differently, whereas the ensemble classifier consistently yielded optimal performance. Finally, we predicted the source cities of mystery samples provided by the organizers. Our results highlight the unreliability of restricting the classification of metagenomic samples to source origins to a single classification algorithm. By combining several component classifiers via the ensemble approach, we obtained classification results that were as good as the best-performing component classifier.
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Affiliation(s)
- Samuel Anyaso-Samuel
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
| | - Archie Sachdeva
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
| | - Subharup Guha
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
| | - Somnath Datta
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
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5
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Melino G. Molecular Mechanisms and Function of the p53 Protein Family Member - p73. BIOCHEMISTRY (MOSCOW) 2021; 85:1202-1209. [PMID: 33202205 DOI: 10.1134/s0006297920100089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Over 20 years after identification of p53 and its crucial function in cancer progression, two members of the same protein family were identified, namely p63 and p73. Since then, a body of information has been accumulated on each of these genes and their interrelations. Biological role of p73 has been elucidated thanks to four distinct knockout mice models: (i) with deletion of the entire TP73 gene, (ii) with deletion of exons encoding the full length TAp73 isoforms, (iii) with deletions of exons encoding the shorter DNp73 isoform, and (iv) with deletion of exons encoding C-terminal of the alpha isoform. This work, as well as expression studies in cancer and overwhelming body of molecular studies, allowed establishing major role of TP73 both in cancer and in neuro-development, as well as ciliogenesis, and metabolism. Here, we recapitulate the major milestones of this endeavor.
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Affiliation(s)
- G Melino
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, Rome, 00133, Italy.
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Tonkovic P, Kalajdziski S, Zdravevski E, Lameski P, Corizzo R, Pires IM, Garcia NM, Loncar-Turukalo T, Trajkovik V. Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review. BIOLOGY 2020; 9:E453. [PMID: 33316921 PMCID: PMC7763105 DOI: 10.3390/biology9120453] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 11/30/2020] [Accepted: 12/03/2020] [Indexed: 12/12/2022]
Abstract
Applied machine learning in bioinformatics is growing as computer science slowly invades all research spheres. With the arrival of modern next-generation DNA sequencing algorithms, metagenomics is becoming an increasingly interesting research field as it finds countless practical applications exploiting the vast amounts of generated data. This study aims to scope the scientific literature in the field of metagenomic classification in the time interval 2008-2019 and provide an evolutionary timeline of data processing and machine learning in this field. This study follows the scoping review methodology and PRISMA guidelines to identify and process the available literature. Natural Language Processing (NLP) is deployed to ensure efficient and exhaustive search of the literary corpus of three large digital libraries: IEEE, PubMed, and Springer. The search is based on keywords and properties looked up using the digital libraries' search engines. The scoping review results reveal an increasing number of research papers related to metagenomic classification over the past decade. The research is mainly focused on metagenomic classifiers, identifying scope specific metrics for model evaluation, data set sanitization, and dimensionality reduction. Out of all of these subproblems, data preprocessing is the least researched with considerable potential for improvement.
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Affiliation(s)
- Petar Tonkovic
- Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, Macedonia; (S.K.); (E.Z.); (P.L.); (V.T.)
| | - Slobodan Kalajdziski
- Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, Macedonia; (S.K.); (E.Z.); (P.L.); (V.T.)
| | - Eftim Zdravevski
- Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, Macedonia; (S.K.); (E.Z.); (P.L.); (V.T.)
| | - Petre Lameski
- Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, Macedonia; (S.K.); (E.Z.); (P.L.); (V.T.)
| | - Roberto Corizzo
- Department of Computer Science, American University, Washington, DC 20016, USA;
| | - Ivan Miguel Pires
- Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal; (I.M.P.); (N.M.G.)
- Computer Science Department, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
- Health Sciences Research Unit: Nursing, School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
| | - Nuno M. Garcia
- Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal; (I.M.P.); (N.M.G.)
| | | | - Vladimir Trajkovik
- Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, Macedonia; (S.K.); (E.Z.); (P.L.); (V.T.)
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Amelio I, Bertolo R, Bove P, Buonomo OC, Candi E, Chiocchi M, Cipriani C, Di Daniele N, Ganini C, Juhl H, Mauriello A, Marani C, Marshall J, Montanaro M, Palmieri G, Piacentini M, Sica G, Tesauro M, Rovella V, Tisone G, Shi Y, Wang Y, Melino G. Liquid biopsies and cancer omics. Cell Death Discov 2020; 6:131. [PMID: 33298891 PMCID: PMC7691330 DOI: 10.1038/s41420-020-00373-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 02/06/2023] Open
Abstract
The development of the sequencing technologies allowed the generation of huge amounts of molecular data from a single cancer specimen, allowing the clinical oncology to enter the era of the precision medicine. This massive amount of data is highlighting new details on cancer pathogenesis but still relies on tissue biopsies, which are unable to capture the dynamic nature of cancer through its evolution. This assumption led to the exploration of non-tissue sources of tumoral material opening the field of liquid biopsies. Blood, together with body fluids such as urines, or stool, from cancer patients, are analyzed applying the techniques used for the generation of omics data. With blood, this approach would allow to take into account tumor heterogeneity (since the circulating components such as CTCs, ctDNA, or ECVs derive from each cancer clone) in a time dependent manner, resulting in a somehow "real-time" understanding of cancer evolution. Liquid biopsies are beginning nowdays to be applied in many cancer contexts and are at the basis of many clinical trials in oncology.
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Affiliation(s)
- Ivano Amelio
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy.
- School of Life Sciences, University of Nottingham, Nottingham, UK.
| | - Riccardo Bertolo
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
- San Carlo di Nancy Hospital, Rome, Italy
| | - Pierluigi Bove
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
- San Carlo di Nancy Hospital, Rome, Italy
| | - Oreste Claudio Buonomo
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Eleonora Candi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Marcello Chiocchi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Chiara Cipriani
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
- San Carlo di Nancy Hospital, Rome, Italy
| | - Nicola Di Daniele
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Carlo Ganini
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | | | - Alessandro Mauriello
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Carla Marani
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
- San Carlo di Nancy Hospital, Rome, Italy
| | - John Marshall
- Medstar Georgetown University Hospital, Georgetown University, Washington, DC, USA
| | - Manuela Montanaro
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Giampiero Palmieri
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Mauro Piacentini
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Giuseppe Sica
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Manfredi Tesauro
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Valentina Rovella
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Giuseppe Tisone
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Yufang Shi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China
- The First Affiliated Hospital of Soochow University and State Key Laboratory of Radiation Medicine and Protection, Institutes for Translational Medicine, Soochow University, 199 Renai Road, 215123, Suzhou, Jiangsu, China
| | - Ying Wang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China
| | - Gerry Melino
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy.
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Celardo I, Melino G, Amelio I. Commensal microbes and p53 in cancer progression. Biol Direct 2020; 15:25. [PMID: 33213502 PMCID: PMC7678320 DOI: 10.1186/s13062-020-00281-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 11/12/2020] [Indexed: 02/07/2023] Open
Abstract
Aetiogenesis of cancer has not been fully determined. Recent advances have clearly defined a role for microenvironmental factors in cancer progression and initiation; in this context, microbiome has recently emerged with a number of reported correlative and causative links implicating alterations of commensal microbes in tumorigenesis. Bacteria appear to have the potential to directly alter physiological pathways of host cells and in specific circumstances, such as the mutation of the tumour suppressive factor p53, they can also directly switch the function of a gene from oncosuppressive to oncogenic. In this minireview, we report a number of examples on how commensal microbes alter the host cell biology, affecting the oncogenic process. We then discuss more in detail how interaction with the gut microbiome can affect the function of p53 mutant in the intestinal tumorigenesis.
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Affiliation(s)
- Ivana Celardo
- MRC Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Gerry Melino
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, Rome, Italy
| | - Ivano Amelio
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, Rome, Italy.
- School of Life Sciences, University of Nottingham, Nottingham, UK.
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Amelio I, Bertolo R, Bove P, Candi E, Chiocchi M, Cipriani C, Di Daniele N, Ganini C, Juhl H, Mauriello A, Marani C, Marshall J, Montanaro M, Palmieri G, Piacentini M, Sica G, Tesauro M, Rovella V, Tisone G, Shi Y, Wang Y, Melino G. Cancer predictive studies. Biol Direct 2020; 15:18. [PMID: 33054808 PMCID: PMC7557058 DOI: 10.1186/s13062-020-00274-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 10/02/2020] [Indexed: 12/21/2022] Open
Abstract
The identification of individual or clusters of predictive genetic alterations might help in defining the outcome of cancer treatment, allowing for the stratification of patients into distinct cohorts for selective therapeutic protocols. Neuroblastoma (NB) is the most common extracranial childhood tumour, clinically defined in five distinct stages (1–4 & 4S), where stages 3–4 define chemotherapy-resistant, highly aggressive disease phases. NB is a model for geneticists and molecular biologists to classify genetic abnormalities and identify causative disease genes. Despite highly intensive basic research, improvements on clinical outcome have been predominantly observed for less aggressive cancers, that is stages 1,2 and 4S. Therefore, stages 3–4 NB are still complicated at the therapeutic level and require more intense fundamental research. Using neuroblastoma as a model system, here we herein outline how cancer prediction studies can help at steering preclinical and clinical research toward the identification and exploitation of specific genetic landscape. This might result in maximising the therapeutic success and minimizing harmful effects in cancer patients.
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Affiliation(s)
- Ivano Amelio
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.
| | - Riccardo Bertolo
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.,San Carlo di Nancy Hospital, Rome, Italy
| | - Pierluigi Bove
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.,San Carlo di Nancy Hospital, Rome, Italy
| | - Eleonora Candi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Marcello Chiocchi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Chiara Cipriani
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.,San Carlo di Nancy Hospital, Rome, Italy
| | - Nicola Di Daniele
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Carlo Ganini
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | | | - Alessandro Mauriello
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Carla Marani
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.,San Carlo di Nancy Hospital, Rome, Italy
| | - John Marshall
- Medstar Georgetown University Hospital, Georgetown University, Washington DC, USA
| | - Manuela Montanaro
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Giampiero Palmieri
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Mauro Piacentini
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Giuseppe Sica
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Manfredi Tesauro
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Valentina Rovella
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Giuseppe Tisone
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy
| | - Yufang Shi
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.,CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.,The First Affiliated Hospital of Soochow University and State Key Laboratory of Radiation Medicine and Protection, Institutes for Translational Medicine, Soochow University, 199 Renai Road, Suzhou, 215123, Jiangsu, China
| | - Ying Wang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China
| | - Gerry Melino
- Torvergata Oncoscience Research Centre of Excellence, TOR, Department of Experimental Medicine, University of Rome Tor Vergata, via Montpellier 1, 00133, Rome, Italy.
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