Imperial College London
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DrJonathanKrell

Faculty of Medicine, Department of Surgery & Cancer

Clinical SL in Medical Oncology (Gynaecological Oncology)
 
 
 
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j.krell

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Frampton:2016:10.18632/oncotarget.8699,
author = {Frampton, AE and Krell, J and Mato, Prado M and Gall, T and Abbassi-Ghadi, N and Del, Vecchio Blanco G and Funel, N and Giovannetti, E and Castellano, L and Basyouny, M and Habib, N and Kaltsidis, H and Vlavianos, P and Stebbing, J and Jiao, L},
doi = {10.18632/oncotarget.8699},
journal = {Oncotarget},
title = {Prospective validation of microRNA signatures for detecting pancreatic malignant transformation in endoscopic-ultrasound guided fine-needle aspiration biopsies},
url = {http://dx.doi.org/10.18632/oncotarget.8699},
volume = {7},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease. Novel biomarkers are required to aid treatment decisions and improve patient outcomes. MicroRNAs (miRNAs) are potentially ideal diagnostic biomarkers, as they are stable molecules, and tumour and tissue specific. Results: Logistic regression analysis revealed an endoscopic-ultrasound fine-needle  aspiration  (EUS-FNA)  2-miRNA  classifier  (miR-21  +  miR-155)  capable of distinguishing benign from malignant pancreatic lesions with a sensitivity of 81.5% and a specificity of 85.7% (AUC 0.930). Validation FNA cohorts confirmed both miRNAs were overexpressed in malignant disease, while circulating miRNAs performed poorly.Methods: Fifty-five patients with a suspicious pancreatic lesion on cross-sectional imaging were evaluated by EUS-FNA. At echo-endoscopy, the first part of the FNA was sent for cytological assessment and the second part was used for total RNA extraction. Candidate miRNAs were selected after careful review of the literature and expression was quantified by qRT-PCR. Validation was performed on an independent cohort of EUS-FNAs, as well as formalin-fixed paraffin embedded (FFPE) and plasma samples.Conclusions:  We  provide  further  evidence  for  using  miRNAs  as  diagnostic  biomarkers for pancreatic malignancy. We demonstrate the feasibility of using fresh EUS-FNAs  to  establish  miRNA-based  signatures  unique  to  pancreatic  malignant  transformation and the potential to enhance risk stratification and selection for surgery.
AU  - Frampton,AE
AU  - Krell,J
AU  - Mato,Prado M
AU  - Gall,T
AU  - Abbassi-Ghadi,N
AU  - Del,Vecchio Blanco G
AU  - Funel,N
AU  - Giovannetti,E
AU  - Castellano,L
AU  - Basyouny,M
AU  - Habib,N
AU  - Kaltsidis,H
AU  - Vlavianos,P
AU  - Stebbing,J
AU  - Jiao,L
DO  - 10.18632/oncotarget.8699
PY  - 2016///
SN  - 1949-2553
TI  - Prospective validation of microRNA signatures for detecting pancreatic malignant transformation in endoscopic-ultrasound guided fine-needle aspiration biopsies
T2  - Oncotarget
UR  - http://dx.doi.org/10.18632/oncotarget.8699
UR  - http://hdl.handle.net/10044/1/37525
VL  - 7
ER  -
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