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Possible association between hepatitis C virus and malignancies different from hepatocellular carcinoma:A systematic review

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World Journal of Gastroenterology 2015年第45期21卷 12896-12953页

作者： Sirio Fiorino Letizia Bacchi-Reggiani Dario de Biase Adele Fornelli Michele Masetti Andrea Tura Fabio Grizzi Matteo Zanello laura mastrangelo Raffaele Lombardi Giorgia Acquaviva Luca di Tommaso Arrigo Bondi Michela Visani Sergio Sabbatani laura Pontoriero Carlo Fabbri Andrea Cuppini Annalisa Pession Elio Jovine Unità Operativa di Medicina Interna Ospedale di Budrio Dipartimento di Medicina Sperimentale Istituto di Cardiologia Policlinico S. Orsola-Malpighi Università degli Studi di Bologna Dipartimento di Medicina Sperimentale Università di Bologna Unità Operativa Biologia Molecolare Anatomia Patologica Ospedale Bellaria Servizio di Anatomia Patologica Ospedale Maggiore Unità Operativa di Chirurgia A Ospedale Maggiore Institute of Neuroscience National Research Council Humanitas Clinical and Research Center Rozzano Dipartimento di Farmacia e Biotecnologie Università di Bologna Istituto di Malattie Infettive Policlinico S. Orsola-Malpighi Università degli Studi di Bologna Unità di Cura Materno-Infantile Distretto Lametino U.O. Endoscopia Ospedale Maggiore

AIM: To summarize the current knowledge about the potential relationship between hepatitis C virus(HCV) infection and the risk of several extra-liver cancers. METHODS: We performed a systematic review of the literature, according to the Preferred Reporting Items for Systematic reviews and Meta-Analysis(PRISMA) Statement. We extracted the pertinent articles, published in MEDLINE and the Cochrane Library, using the following search terms: neoplasm/cancer/malignancy/tumor/carcinoma/adeno-carcinoma and non-Hodgkin lymphomas, kidney/renal-, cholangio-, pancreatic-, thyroid-, breast-,oral-, skin-, prostate-, lung-, colon-, stomach-, haematologic. Case series, case-series with control-group, case-control, cohort-studies as well as meta-analyses, written in English were collected. Some of the main characteristics of retrieved trials, which were designed to investigate the prevalence of HCV infection in each type of the above-mentioned human malignancies were summarised. A main table was defined and included a short description in the text for each of these tumours, whether at least five studies about a specific neoplasm, meeting inclusion criteria, were available in literature. According to these criteria, we created the following sections and the corresponding tables and we indicated the number of included or excluded articles, as well as of meta-analyses and reviews:(1) HCV and haematopoietic malignancies;(2) HCV and cholangiocarcinoma;(3) HCV and pancreatic cancer;(4) HCV and breast cancer;(5) HCV and kidney cancer;(6) HCV and skin or oral cancer; and(7) HCV and thyroid cancer. RESULTS: According to available data, a clear correlation between regions of HCV prevalence and risk of extra-liver cancers has emerged only for a very small group of types and histological subtypes of malignancies. In particular, HCV infection has been associated with:(1) a higher incidence of some B-cell Non-HodgkinLymphoma types, in countries, where an elevated prevalence of this pathogen is de

关键词： Neoplasm Cancer Hepatitis C virus Risk factors Ext

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MicroRNAs as possible biomarkers for diagnosis and prognosis of hepatitis b- and c-related-hepatocellularcarcinoma

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World Journal of Gastroenterology 2016年第15期22卷 3907-3936页

作者： Sirio Fiorino Maria Letizia Bacchi-Reggiani Michela Visani Giorgia Acquaviva Adele Fornelli Michele Masetti Andrea Tura Fabio Grizzi Matteo Zanello laura mastrangelo Raffaele Lombardi Luca Di Tommaso Arrigo Bondi Sergio Sabbatani Andrea Domanico Carlo Fabbri Paolo Leandri Annalisa Pession Elio Jovine Dario de Biase Unita Operativa di Medicina C Ospedale Maggiore 40133 Bologna Italy Dipartimento di Medicina Sperimentale Istituto di Cardiologia Policlinico S. Orsola-Malpighi Universita degli Studi di Bologna 40138 BolognaItaly Dipartimento di Farmacia e Biotecnologie Universita di Bologna 40139 Bologna Italy Dipartimento di Medicina Sperimentale Universita di Bologna Ospedale Bellaria 40139 Bologna Italy Servizio di Anatomia Patologica Ospedale Maggiore 40133 Bologna Italy Unita Operativa di Chirurgia A Ospedale Maggiore 40133 Bologna Italy CNR Institute of Neuroscience Padova Italy 35121 Padova Italy Humanitas Clinical and Research Center 20089 Rozzano Milano Italy Istituto di Malattie Infettive Policlinico S. Orsola-Malpighi Universita degli Studi di Bologna 40138 Bologna Italy Unita Operativa di Medicina Interna A Ospedale Maggiore 40133 Bologna Italy Unita Operativa di Endoscopia Digestiva Ospedale Maggiore 40133 Bologna Italy

Aim of the present review is to summarize the current knowledge about the potential relationship between mi RNAs and hepatitis B virus(HBV)-hepatitis C virus(HCV) related liver diseases. A systematic computerbased search of published articles, according to the Preferred Reporting Items for Systematic reviews and Meta-Analysis Statement, was performed to identify relevant studies on usefulness of serum/plasma/urine mi RNAs, as noninvasive biomarkers for early detection of HBV and HCV-induced hepatocellular carcinoma(HCC) development, as well as for its prognostic evaluation. The used Medical Subject Headings terms and keywords were: "HBV", "HCV", "hepatocellular carcinoma", "micro RNAs", "mi RNAs", "diagnosis", "prognosis", "therapy", "treatment". Some serum/plasma mi RNAs, including mi R-21, mi R-122, mi-125a/b, mi R-199a/b, mi R-221, mi R-222, mi R-223, mi R-224 might serve as biomarkers for early diagnosis/prognosis of HCC, but, to date, not definitive results or well-defined panels of mi RNAs have been obtained. More well-designed studies, focusing on populations of different geographical areas and involving larger series of patients, should be carried out to improve our knowledge on the potential role of mi RNAs for HCC early detection and prognosis.

关键词： Hepatitis B virus Hepatitis C virus Hepatocellular carcinomas Liver diseases MicroRNAs Review

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Soil organic carbon stocks in native forest of Argentina:a useful surrogate for mitigation and conservation planning under climate variability

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Ecological Processes 2024年第1期13卷 3-24页

作者： Pablo L.Peri Juan Gaitán Matías mastrangelo Marcelo Nosetto Pablo E.Villagra Ezequiel Balducci Martín Pinazo Roxana P.Eclesia Alejandra Von Wallis Sebastián Villarino Francisco Alaggia Marina González Polo Silvina Manrique Pablo A.Meglioli Julián Rodríguez-Souilla Martín Mónaco Jimena E.Chaves Ariel Medina Ignacio Gasparri Eugenio Alvarez Arnesi María Paula Barral Axel von Müller Norberto M.Pahr Josefina Uribe Echevarria Pedro Fernández Marina Morsucci Dardo López Juan Manuel Cellini Leandro Alvarez Ignacio Barberis Hernán Colomb Ludmila La Manna Sebastián Barbaro Cecilia Blundo Ximena Sirimarco laura Cavallero Gualberto Zalazar Guillermo Martínez Pastur Instituto Nacional de Tecnología Agropecuaria (INTA) Universidad Nacional de la Patagonia Austral (UNPA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Luján Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET ) CCT San Luis Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto Argentino de Nivología Glaciología y Ciencias Ambientales (IANIGLA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Cuyo Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto de Investigaciones en Energía No Convencional CCT Salta-JujuyConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Recursos Agroforestales Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Dirección Nacional de Bosques Ministerio de Ambiente y Desarrollo Sostenible de la Nación Instituto de Ecología Regional Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )Universidad Nacional de Tucumán Universidad Nacional de Rosario Instituto de Investigaciones en Ciencias Agrarias de Rosario Centro Científico Tecnológico CONICET Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Investigaciones en Maderas (LIMAD) Universidad Nacional de La Plata (UNLP) Administración de Parques Nacionales (APN) Parque Nacional Los Alerces Centro de Estudios Ambientales Integrados (CEAI) Universidad Nacional de la Patagonia San Juan Bosco (UNPASJB) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )

Background The nationally determined contribution（NDC） presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Conven-tion on Climate Change（UNFCCC） on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation（REDD+）. In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon（SOC） stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under cli-mate variability due to a lack of information. The objectives of this study were:（i） to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and（ii） to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter-annual climate *** We used 1040 forest soil samples（0–30 cm） to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covari-ates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google Earth Engine cloud-based computing platform for subsequent modelling. To determine the biodiversity threats from high inter-annual climate variability, we employed the spatial–temporal satellite-derived indices based on Enhanced Vegetation Index（EVI） and land surface temperature（LST） images from Landsat *** SOC model（0–30 cm depth） prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C（2.71–2.84 Pg C with a probability of 90%） for a total area of 460,790 km2,

关键词： Soil organic carbon Biodiversity Native forest Climate change mitigation Modelling Resilience

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