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  1. Book ; Online: Liquid Biopsy as a Tool for Precision Oncology: New Challenges to Assess Clinical Response

    Ravegnini, Gloria / Del Re, Marzia / Grolla, Ambra A. / van Schaik, Ron H. N. / Angelini, Sabrina

    2020  

    Keywords Science: general issues ; Pharmacology ; liquid biopsy ; precision oncology ; ctDNA (circulating tumor DNA) ; Circulating molecular marker ; personalized medicine
    Size 1 electronic resource (78 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230400
    ISBN 9782889662029 ; 2889662020
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Correspondence on 'MicroRNA expression as a diagnostic parameter in early endometrial cancer' by Blagojević et al.

    Coada, Camelia Alexandra / Ravegnini, Gloria / Perrone, Anna Myriam

    International journal of gynecological cancer : official journal of the International Gynecological Cancer Society

    2023  

    Language English
    Publishing date 2023-12-14
    Publishing country England
    Document type Letter
    ZDB-ID 1070385-8
    ISSN 1525-1438 ; 1048-891X
    ISSN (online) 1525-1438
    ISSN 1048-891X
    DOI 10.1136/ijgc-2023-005110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Succinate Dehydrogenase-Deficient Gastrointestinal Stromal Tumors: Small Steps Toward Personalized Medicine?

    Ravegnini, Gloria / Ricci, Riccardo

    Epigenetics insights

    2019  Volume 12, Page(s) 2516865719842534

    Abstract: Various molecular triggers define heterogeneous subsets of gastrointestinal stromal tumors (GISTs), differing in clinical behavior and drug sensitivity. ...

    Abstract Various molecular triggers define heterogeneous subsets of gastrointestinal stromal tumors (GISTs), differing in clinical behavior and drug sensitivity.
    Language English
    Publishing date 2019-04-12
    Publishing country United States
    Document type Journal Article
    ISSN 2516-8657
    ISSN (online) 2516-8657
    DOI 10.1177/2516865719842534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Somatic pharmacogenomics of gastrointestinal stromal tumor.

    Ravegnini, Gloria / Hrelia, Patrizia / Angelini, Sabrina

    Cancer drug resistance (Alhambra, Calif.)

    2019  Volume 2, Issue 1, Page(s) 107–115

    Abstract: Gastrointestinal stromal tumors (GISTs) are rare entities, which, however, represent the most common mesenchymal tumor of the gastrointestinal tract. The discovery of gain of function mutations ... ...

    Abstract Gastrointestinal stromal tumors (GISTs) are rare entities, which, however, represent the most common mesenchymal tumor of the gastrointestinal tract. The discovery of gain of function mutations on
    Language English
    Publishing date 2019-03-19
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2578-532X
    ISSN (online) 2578-532X
    DOI 10.20517/cdr.2019.02
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Toward Precision Medicine: How Far Is the Goal?

    Ravegnini, Gloria / Angelini, Sabrina

    International journal of molecular sciences

    2016  Volume 17, Issue 2, Page(s) 245

    Abstract: The accomplishment of the Human Genome Project, followed by the availability of high-throughput technologies, has led to an impressive change in biomedical research. ...

    Abstract The accomplishment of the Human Genome Project, followed by the availability of high-throughput technologies, has led to an impressive change in biomedical research.
    MeSH term(s) Genetic Variation ; Genome, Human ; Goals ; Humans ; Precision Medicine
    Language English
    Publishing date 2016-02-17
    Publishing country Switzerland
    Document type Editorial ; Introductory Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms17020245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: GH and IGF System: The Regulatory Role of miRNAs and lncRNAs in Cancer.

    Catellani, Cecilia / Ravegnini, Gloria / Sartori, Chiara / Angelini, Sabrina / Street, Maria E

    Frontiers in endocrinology

    2021  Volume 12, Page(s) 701246

    Abstract: Growth hormone (GH) and the insulin-like growth factor (IGF) system are involved in many biological processes and have growth-promoting actions regulating cell proliferation, differentiation, apoptosis and angiogenesis. A recent chapter in epigenetics is ...

    Abstract Growth hormone (GH) and the insulin-like growth factor (IGF) system are involved in many biological processes and have growth-promoting actions regulating cell proliferation, differentiation, apoptosis and angiogenesis. A recent chapter in epigenetics is represented by microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) which regulate gene expression. Dysregulated miRNAs and lncRNAs have been associated with several diseases including cancer. Herein we report the most recent findings concerning miRNAs and lncRNAs regulating GH and the IGF system in the context of pituitary adenomas, osteosarcoma and colorectal cancer, shedding light on new possible therapeutic targets. Pituitary adenomas are increasingly common intracranial tumors and somatotroph adenomas determine supra-physiological GH secretion and cause acromegaly. Osteosarcoma is the most frequent bone tumor in children and adolescents and was reported in adults who were treated with GH in childhood. Colorectal cancer is the third cancer in the world and has a higher prevalence in acromegalic patients.
    MeSH term(s) Gene Expression Regulation ; Human Growth Hormone/metabolism ; Humans ; Insulin-Like Growth Factor I/metabolism ; MicroRNAs/genetics ; Neoplasms/genetics ; Neoplasms/metabolism ; Neoplasms/pathology ; RNA, Long Noncoding/genetics
    Chemical Substances MicroRNAs ; RNA, Long Noncoding ; Human Growth Hormone (12629-01-5) ; Insulin-Like Growth Factor I (67763-96-6)
    Language English
    Publishing date 2021-08-16
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2021.701246
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Radiomics and artificial intelligence in malignant uterine body cancers: Protocol for a systematic review.

    Ravegnini, Gloria / Ferioli, Martina / Pantaleo, Maria Abbondanza / Morganti, Alessio G / De Leo, Antonio / De Iaco, Pierandrea / Rizzo, Stefania / Perrone, Anna Myriam

    PloS one

    2022  Volume 17, Issue 6, Page(s) e0267727

    Abstract: Introduction: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine sarcoma (USa). The clinical management of both is hindered by the complex classification of patients into risk classes. This problem could be simplified ... ...

    Abstract Introduction: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine sarcoma (USa). The clinical management of both is hindered by the complex classification of patients into risk classes. This problem could be simplified through the development of predictive models aimed at treatment tailoring based on tumor and patient characteristics. In this context, radiomics represents a method of extracting quantitative data from images in order to non-invasively acquire tumor biological and genetic information and to predict response to treatments and prognosis. Furthermore, artificial intelligence (AI) methods are an emerging field of translational research, with the aim of managing the amount of data provided by the various -omics, including radiomics, through the process of machine learning, in order to promote precision medicine.
    Objective: The aim of this protocol for systematic review is to provide an overview of radiomics and AI studies on UBCs.
    Methods and analysis: A systematic review will be conducted using PubMed, Scopus, and the Cochrane Library to collect papers analyzing the impact of radiomics and AI on UBCs diagnosis, prognostic classification, and clinical outcomes. The PICO strategy will be used to formulate the research questions: What is the impact of radiomics and AI on UBCs on diagnosis, prognosis, and clinical results? How could radiomics or AI improve the differential diagnosis between sarcoma and fibroids? Does Radiomics or AI have a predictive role on UBCs response to treatments? Three authors will independently screen articles at title and abstract level based on the eligibility criteria. The risk of bias and quality of the cohort studies, case series, and case reports will be based on the QUADAS 2 quality assessment tools.
    Trial registration: PROSPERO registration number: CRD42021253535.
    MeSH term(s) Artificial Intelligence ; Female ; Humans ; Machine Learning ; Precision Medicine ; Prognosis ; Sarcoma/diagnostic imaging ; Systematic Reviews as Topic ; Uterine Neoplasms/diagnosis
    Language English
    Publishing date 2022-06-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0267727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: miRNA levels are associated with body mass index in endometrial cancer and may have implications for therapy.

    Ravegnini, Gloria / Gorini, Francesca / Coada, Camelia Alexandra / De Leo, Antonio / de Biase, Dario / Di Costanzo, Stella / De Crescenzo, Eugenia / Coschina, Emma / Monesmith, Sarah / Bernante, Paolo / Garelli, Silvia / Balsamo, Francesca / Hrelia, Patrizia / De Iaco, Pierandrea / Angelini, Sabrina / Perrone, Anna Myriam

    Cancer science

    2024  Volume 115, Issue 3, Page(s) 883–893

    Abstract: Endometrial cancer (EC) is the most prevalent gynecological cancer in high-income countries. Its incidence is skyrocketing due to the increase in risk factors such as obesity, which represents a true pandemic. This study aimed to evaluate microRNA (miRNA) ...

    Abstract Endometrial cancer (EC) is the most prevalent gynecological cancer in high-income countries. Its incidence is skyrocketing due to the increase in risk factors such as obesity, which represents a true pandemic. This study aimed to evaluate microRNA (miRNA) expression in obesity-related EC to identify potential associations between this specific cancer type and obesity. miRNA levels were analyzed in 84 EC patients stratified based on body mass index (BMI; ≥30 or <30) and nine noncancer women with obesity. The data were further tested in The Cancer Genome Atlas (TCGA) cohort, including 384 EC patients, 235 with BMI ≥30 and 149 with BMI <30. Prediction of miRNA targets and analysis of their expression were also performed to identify the potential epigenetic networks involved in obesity modulation. In the EC cohort, BMI ≥30 was significantly associated with 11 deregulated miRNAs. The topmost deregulated miRNAs were first analyzed in 84 EC samples by single miRNA assay and then tested in the TCGA dataset. This independent validation provided further confirmation about the significant difference of three miRNAs (miR-199a-5p, miR-449a, miR-449b-5p) in normal-weight EC patients versus EC patients with obesity, resulting significantly higher expressed in the latter. Moreover, the three miRNAs were significantly correlated with grade, histological type, and overall survival. Analysis of their target genes revealed that these miRNAs may regulate obesity-related pathways. In conclusion, we identified specific miRNAs associated with BMI that are potentially involved in modulating obesity-related pathways and that may provide novel implications for the clinical management of obese EC patients.
    MeSH term(s) Humans ; Female ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Body Mass Index ; Gene Expression Profiling/methods ; Endometrial Neoplasms/genetics ; Obesity/complications ; Obesity/genetics
    Chemical Substances MicroRNAs
    Language English
    Publishing date 2024-01-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2115647-5
    ISSN 1349-7006 ; 1349-7006
    ISSN (online) 1349-7006
    ISSN 1349-7006
    DOI 10.1111/cas.15977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Stereotactic Arrhythmia Radioablation (STAR): A Multidisciplinary Narrative Minireview of Preclinical Studies.

    Galietta, Erika / Strolin, Silvia / Bisello, Silvia / Cellini, Francesco / Lovato, Luigi / Ravegnini, Gloria / Martignani, Cristian / Spadotto, Alberto / Buwenge, Milly / Cammelli, Silvia / Strigari, Lidia / Morganti, Alessio G / Arcelli, Alessandra

    In vivo (Athens, Greece)

    2023  Volume 37, Issue 3, Page(s) 963–971

    Abstract: The aim of this narrative review of the literature was to collect and analyze the results of the published preclinical studies on stereotactic arrhythmia radioablation (STAR) in the treatment of refractory cardiac arrhythmias. A literature search was ... ...

    Abstract The aim of this narrative review of the literature was to collect and analyze the results of the published preclinical studies on stereotactic arrhythmia radioablation (STAR) in the treatment of refractory cardiac arrhythmias. A literature search was conducted on PubMed using the following terms: ("stereotactic" OR "SBRT" OR "SABR" OR "radioablation" OR "radiosurgery") AND ("arrhythmia" OR "tachycardia"). Preclinical and pathological reports published in English without time limit, comprising studies of STAR in animal models and histological analyzes of explanted animal and human hearts were included. The analyzed studies confirm that doses lower than 25 Gy seem to produce sub-optimal therapeutic results whereas doses >35 Gy are less safe in terms of radiation-induced toxicity. However, long-term results (>1 year) are still missing and reporting outcomes based on low dose irradiation (≤15 Gy). Finally, STAR proved to be an effective therapy in the analyzed studies despite the irradiation of rather different cardiac targets. Therefore, additional studies are needed to: 1) compare the outcomes of STAR at doses of 25 Gy versus 30 Gy; 2) evaluate the long-term results (>1 year) in animal models irradiated at doses similar to those used in the clinic; 3) define the optimal target.
    MeSH term(s) Animals ; Humans ; Arrhythmias, Cardiac/etiology ; Arrhythmias, Cardiac/radiotherapy ; Radiosurgery/adverse effects ; Radiosurgery/methods ; Heart ; Models, Animal ; Time Factors
    Language English
    Publishing date 2023-04-27
    Publishing country Greece
    Document type Journal Article ; Review
    ZDB-ID 807031-3
    ISSN 1791-7549 ; 0258-851X
    ISSN (online) 1791-7549
    ISSN 0258-851X
    DOI 10.21873/invivo.13170
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Editorial: Liquid Biopsy as a Tool for Precision Oncology: New Challenges to Assess Clinical Response.

    Ravegnini, Gloria / Del Re, Marzia / Grolla, Ambra A / van Schaik, Ron H N / Angelini, Sabrina

    Frontiers in pharmacology

    2020  Volume 11, Page(s) 598261

    Language English
    Publishing date 2020-10-07
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2020.598261
    Database MEDical Literature Analysis and Retrieval System OnLINE

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