Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells

Autor: Giorgio Ivan Russo, Francesco Paolo Cammarata, Marcella Bonanomi, Daniela Gaglio, Carmelo Militello, Maria Carla Gilardi, Nunziatina Porcino, Margherita Baglio, G. Evangelista, Gaetano Savoca, B. Abbate, G. Iacoviello, Erika Amore, Giusi Irma Forte, Luigi Minafra, Valentina Bravatà, Maria Luisa Bondì

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Scientific reports (Nature Publishing Group) 9 (2019): 11134. doi:10.1038/s41598-019-47553-2
info:cnr-pdr/source/autori:Minafra, Luigi*; Porcino, Nunziatina*; Bravata, Valentina; Gaglio, Daniela; Bonanomi, Marcella; Amore, Erika; Cammarata, Francesco Paolo; Russo, Giorgio; Militello, Carmelo; Savoca, Gaetano; Baglio, Margherita; Abbate, Boris; Iacoviello, Giuseppina; Evangelista, Giovanna; Gilardi, Maria Carla; Bondi, Maria Luisa; Forte, Giusi Irma/titolo:Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells/doi:10.1038%2Fs41598-019-47553-2/rivista:Scientific reports (Nature Publishing Group)/anno:2019/pagina_da:11134/pagina_a:/intervallo_pagine:11134/volume:9
Scientific Reports

In breast cancer (BC) care, radiotherapy is considered an efficient treatment, prescribed both for controlling localized tumors or as a therapeutic option in case of inoperable, incompletely resected or recurrent tumors. However, approximately 90% of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d37c1753e6dcd9d260fdc517c4ff84
http://link.springer.com/article/10.1038/s41598-019-47553-2

Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples

Autor: L. Ubaldi, Giorgio Collura, Maria Evelina Fantacci, R.F. Borgese, Alessandra Retico, Antonella Tripoli, Francesco Laruina, Vito Valenti, B. Abbate, Giuseppe Ferrera, Maurizio Marrale, G. Iacoviello

Predictive models based on radiomics and machine-learning (ML) need large and annotated datasets for training, often difficult to collect. We designed an operative pipeline for model training to exploit data already available to the scientific commun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb11a9f698f20057745f32300a578298
http://hdl.handle.net/11568/1123306

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Atypical femoral fractures in Italy: a retrospective analysis in a large urban emergency department during a 7-year period (2007–2013)

Autor: B. Abbate, Ignazio Verzicco, Gianfranco Cervellin, G. Girasole, Andrea Giusti, Mario Pedrazzoni

Publikováno v: Journal of Bone and Mineral Metabolism. 35:562-570

The aim of this study was to determine the incidence of atypical femoral fractures (AFFs) seen in a large emergency department in Italy. It was a retrospective study of all men and women aged 40 years or older admitted to the Emergency Department of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885e33b5bf850415b1906b789f82ca26
https://doi.org/10.1007/s00774-016-0790-7

Longitudinal changes of trabecular bone score after estrogen deprivation: effect of menopause and aromatase inhibition

Autor: Ignazio Verzicco, B. Abbate, Mario Pedrazzoni, Paolo Sansoni, A. Casola, Rosanna Vescovini

Publikováno v: Journal of Endocrinological Investigation. 37:871-874

To examine the effects of the menopausal transition and treatment with aromatase inhibitors (AI) on trabecular bone score (TBS, a newly proposed index of bone architecture derived from DXA vertebral scans) and vertebral bone mineral density (BMD).Ret

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6e34550051d8df10d843a366b1a2ead
https://doi.org/10.1007/s40618-014-0125-2