Cicchillitti lucia

Dr. Cicchillitti lucia


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 December 2017 in Oncotarget
Verified
Journal Article
Open access
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CLCicchillitti lucia
Cicchillitti lucia
GCGiacomo Corrado
Giacomo Corrado
MAMartina De Angeli
Martina De Angeli
EMEmanuela Mancini
Emanuela Mancini
EBErmelinda Baiocco
Ermelinda Baiocco
EVEnrico Vizza
Enrico Vizza
Circulating cell-free DNA content as blood based biomarker in endometrial cancer Circulating cell-free DNA content as blood based biomarker in endometrial cancer

30 July 2016 in Journal of Experimental & Clinical Cancer Research
Verified
Journal Article
Open access
PDF file
GRGiulia Regazzo
Giulia Regazzo
Irene TerrenatoIrene Terrenato
Irene Terrenato
MSManuela Spagnuolo
Manuela Spagnuolo
MCMariantonia Carosi
Mariantonia Carosi
GCGaetana Cognetti
Gaetana Cognetti
MRMaria Giulia Rizzo
Maria Giulia Rizzo
Malignant gliomas are the most common primary brain tumors in adults and challenging cancers for diagnosis and treatment. They remain a disease for which non-invasive, diagnostic and/or prognostic novel biomarkers are highly desirable. Altered microRNA (miRNA) profiles have been observed in tumor tissues and biological fluids. To date only a small set of circulating/serum miRNA is found to be differentially expressed in brain tumors compared to normal controls. Here a restricted signature of circulating/serum miRNA including miR-15b*,-23a, −99a, −125b, −133a, −150*, −197, −340, −497, −548b-5p and let-7c were investigated as potential non-invasive biomarkers in the diagnosis of glioma patients. Serum and tissues miRNAs expression in patients with brain cancers (n = 30) and healthy controls (n = 15) were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Relative expression was calculated using the comparative Ct method. Statistical significance (p ≤ 0,05) was determined using the Mann–Whitney rank sum and Fisher’s exact test. Diagnostic accuracy of miRNAs in distinguishing glioblastoma multiforme (GBM) from lower grade cancer was assessed by the Receiver Operating Characteristic (ROC) curve analysis. To validate the role of the identified miRNAs in cancer a comprehensive literature search was conducted using PubMed, Web of Science (Core Collection) and Scopus databases. We observed a decrease of miR-497 and miR-125b serum levels depending on tumor stages with reduced level in GBM than lower grade tumors. The ROC curve analysis distinguishing GBM from lower grade cases yielded an area under the curve (AUC) of 0.87 (95 % confidence interval (CI) = 0.712–1) and of 0.75 (95 % CI = 0.533–0.967) for miR-497 and -125b, respectively. GBM patients are more likely to show a miR-497 and -125b down-regulation than the lower grade group (p = 0.002 and p = 0.024, respectively). These results were subsequently compared with evidence from 19 studies included in the final systematic review. Although multiple biomarkers are currently leveraged in the clinic to detect specific cancer types, no such standard blood biomolecules are used as yet in gliomas. Our data suggest that serum miR-497 and -125b could be a novel diagnostic markers with good perspectives for future clinical applications in patients with glioma.

10 December 2016 in Oncotarget
Verified
Journal Article
Open access
PDF file
CLCicchillitti lucia
Cicchillitti lucia
GCGiacomo Corrado
Giacomo Corrado
MCMariantonia Carosi
Mariantonia Carosi
MDMalgorzata Ewa Dabrowska
Malgorzata Ewa Dabrowska
RLRossella Loria
Rossella Loria
EVEnrico Vizza
Enrico Vizza
Prognostic role of NF-YA splicing isoforms and Lamin A status in low grade endometrial cancer