Reference : Circulating microRNA-based screening tool for breast cancer
Scientific journals : Article
Life sciences : Genetics & genetic processes
http://hdl.handle.net/2268/192624
Circulating microRNA-based screening tool for breast cancer
English
Freres, Pierre* [Université de Liège > Département des sciences cliniques > Oncologie >]
Wenric, Stéphane* mailto [Université de Liège > Département des sciences cliniques > Oncologie >]
Boukerroucha, Meriem [Université de Liège - ULg > GIGA-Research > Laboratory of Human Genetics > >]
Fasquelle, Corinne mailto [Université de Liège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine >]
Thiry, Jérôme mailto [Université de Liège > Département des sciences cliniques > Oncologie >]
Bovy, Nicolas [Université de Liège - ULg > GIGA-Research > Laboratory of Molecular Angiogenesis > >]
Struman, Ingrid mailto [Université de Liège > Département des sciences de la vie > GIGA-R : Biologie et génétique moléculaire >]
Geurts, Pierre mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique >]
COLLIGNON, Joëlle mailto [Centre Hospitalier Universitaire de Liège - CHU > > Oncologie médicale >]
SCHROEDER, Hélène mailto [Centre Hospitalier Universitaire de Liège - CHU > > Centre d'oncologie >]
KRIDELKA, Frédéric mailto [Centre Hospitalier Universitaire de Liège - CHU > > Gynécologie-Obstétrique >]
LIFRANGE, Eric mailto [Centre Hospitalier Universitaire de Liège - CHU > > Sénologie >]
Jossa, Veronique [Clinique Saint-Vincent (CHC) > Department of Pathology > > >]
Bours, Vincent mailto [Université de Liège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine >]
Josse, Claire mailto [Université de Liège > Département des sciences biomédicales et précliniques > GIGA-R : Génétique humaine >]
JERUSALEM, Guy mailto [Centre Hospitalier Universitaire de Liège - CHU > > Oncologie médicale >]
* These authors have contributed equally to this work.
29-Dec-2015
Oncotarget
Impact Journals
Yes
International
1949-2553
Albany
NY
[en] breast cancer ; circulating microRNAs ; biomarkers ; minimally invasive screening
[en] Circulating microRNAs (miRNAs) are increasingly recognized as powerful biomarkers in several pathologies, including breast cancer. Here, their plasmatic levels were measured to be used as an alternative screening procedure to mammography for breast cancer diagnosis.

A plasma miRNA profile was determined by RT-qPCR in a cohort of 378 women. A diagnostic model was designed based on the expression of 8 miRNAs measured first in a profiling cohort composed of 41 primary breast cancers and 45 controls, and further validated in diverse cohorts composed of 108 primary breast cancers, 88 controls, 35 breast cancers in remission, 31 metastatic breast cancers and 30 gynecologic tumors.

A receiver operating characteristic curve derived from the 8-miRNA random forest based diagnostic tool exhibited an area under the curve of 0.81. The accuracy of the diagnostic tool remained unchanged considering age and tumor stage. The miRNA signature correctly identified patients with metastatic breast cancer. The use of the classification model on cohorts of patients with breast cancers in remission and with gynecologic cancers yielded prediction distributions similar to that of the control group.

Using a multivariate supervised learning method and a set of 8 circulating miRNAs, we designed an accurate, minimally invasive screening tool for breast cancer.
Giga-Cancer ; Giga-Genetics
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Communauté française de Belgique - CfB ; F.R.S.-FNRS-Televie ; CHU Liege (F.I.R.S) ; Region Wallone (Secance, BRAMIR)
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/192624
10.18632/oncotarget.6786

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
6786-102793-3-PB.pdfPublisher postprint3.19 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.