Imperial College London
Alternate

ProfessorPaoloVineis

Faculty of Medicine, School of Public Health

Chair in Environmental Epidemiology
 
 
 
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Contact

 

+44 (0)20 7594 3372p.vineis Website

 
 
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Location

 

511Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pardini:2018:10.18632/oncotarget.25057,
author = {Pardini, B and Cordero, F and Naccarati, A and Viberti, C and Birolo, G and Oderda, M and Di, Gaetano C and Arigoni, M and Martina, F and Calogero, RA and Sacerdote, C and Gontero, P and Vineis, P and Matullo, G},
doi = {10.18632/oncotarget.25057},
journal = {Oncotarget},
pages = {20658--20669},
title = {microRNA profiles in urine by next-generation sequencing can stratify bladder cancer subtypes.},
url = {http://dx.doi.org/10.18632/oncotarget.25057},
volume = {9},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Bladder cancer (BC) is the most frequent malignancy of the urinary tract with a high incidence in men and smokers. Currently, there are no non-invasive markers useful for BC diagnosis and subtypes classification that could overcome invasive procedures such as cystoscopy. Dysregulated miRNA profiles have been associated with numerous cancers, including BC. Cell-free miRNAs are abundantly present in a variety of biofluids including urine and make them promising candidates in cancer biomarker discovery. In the present study, the identification of miRNA fingerprints associated with different BC status was performed by next-generation sequencing on urine samples from 66 BC and 48 controls. Three signatures based on dysregulated miRNAs have been identified by regression models, assessing the power to discriminate different BC subtypes. Altered miRNAs according to invasiveness and grade were validated by qPCR on 112 cases and 65 controls (among which 46 cases and 16 controls were an independent group of subjects while the rest were replica samples). The area under the curve (AUC) computed including three miRNAs (miR-30a-5p, let-7c-5p and miR-486-5p) altered in all BC subtypes showed a significantly increased accuracy in the discrimination of cases and controls (AUC model = 0.70; p-value = 0.01). In conclusions, the non-invasive detection in urine of a selected number of miRNAs altered in different BC subtypes could lead to an accurate early diagnosis of cancer and stratification of patients.
AU  - Pardini,B
AU  - Cordero,F
AU  - Naccarati,A
AU  - Viberti,C
AU  - Birolo,G
AU  - Oderda,M
AU  - Di,Gaetano C
AU  - Arigoni,M
AU  - Martina,F
AU  - Calogero,RA
AU  - Sacerdote,C
AU  - Gontero,P
AU  - Vineis,P
AU  - Matullo,G
DO  - 10.18632/oncotarget.25057
EP  - 20669
PY  - 2018///
SP  - 20658
TI  - microRNA profiles in urine by next-generation sequencing can stratify bladder cancer subtypes.
T2  - Oncotarget
UR  - http://dx.doi.org/10.18632/oncotarget.25057
UR  - https://www.ncbi.nlm.nih.gov/pubmed/29755679
VL  - 9
ER  -
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