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Del Vecchio Blanco G, Mossa M, Troncone E, Argirò R, Anderloni A, Repici A, Paoluzi OA, Monteleone G. Tips and tricks for the diagnosis and management of biliary stenosis-state of the art review. World J Gastrointest Endosc 2021; 13:473-490. [PMID: 34733408 PMCID: PMC8546565 DOI: 10.4253/wjge.v13.i10.473] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/24/2021] [Accepted: 08/17/2021] [Indexed: 02/06/2023] Open
Abstract
Biliary stenosis may represent a diagnostic and therapeutic challenge resulting in a delay in diagnosis and initiation of therapy due to the frequent difficulty in distinguishing a benign from a malignant stricture. In such cases, the diagnostic flowchart includes the sequential execution of imaging techniques, such as magnetic resonance, magnetic resonance cholangiopancreatography, and endoscopic ultrasound, while endoscopic retrograde cholangiopancreatography is performed to collect tissue for histopathological/cytological diagnosis or to treat the stenosis by insertion of stent. The execution of percutaneous transhepatic drainage with subsequent biopsy has been shown to increase the possibility of tissue diagnosis after failure of the above techniques. Although the diagnostic yield of histopathology and imaging has increased with improvements in endoscopic ultrasound and peroral cholangioscopy, differential diagnosis between malignant and benign stenosis may not be easy in some patients, and strictures are classified as indeterminate. In these cases, a multidisciplinary workup including biochemical marker assays and advanced technologies available may speed up a diagnosis of malignancy or avoid unnecessary surgery in the event of a benign stricture. Here, we review recent advancements in the diagnosis and management of biliary strictures and describe tips and tricks to increase diagnostic yields in clinical routine.
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Affiliation(s)
| | - Michelangela Mossa
- Department of Systems Medicine, Gastroenterology Unit, University of Rome Tor Vergata, Rome 00133, Italy
| | - Edoardo Troncone
- Department of Systems Medicine, Gastroenterology Unit, University of Rome Tor Vergata, Rome 00133, Italy
| | - Renato Argirò
- Department of Interventional Radiology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Andrea Anderloni
- Digestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital & Humanitas University, Rozzano 20093, Italy
| | - Alessandro Repici
- Digestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital & Humanitas University, Rozzano 20093, Italy
| | - Omero Alessandro Paoluzi
- Department of Systems Medicine, Gastroenterology Unit, University of Rome Tor Vergata, Rome 00133, Italy
| | - Giovanni Monteleone
- Department of Systems Medicine, Gastroenterology Unit, University of Rome Tor Vergata, Rome 00133, Italy
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Adrait A, Dumonceau JM, Delhaye M, Annessi-Ramseyer I, Frossard JL, Couté Y, Farina A. Liquid Biopsy of Bile based on Targeted Mass Spectrometry for the Diagnosis of Malignant Biliary Strictures. Clin Transl Sci 2020; 14:148-152. [PMID: 33048472 PMCID: PMC7877827 DOI: 10.1111/cts.12890] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/30/2020] [Indexed: 12/19/2022] Open
Abstract
Bile holds biomarkers of malignant biliary strictures (MBS) but is unsuited for automated analyzers used in routine diagnostic laboratories. Selected reaction monitoring (SRM) is a flexible high‐throughput analytical approach based on targeted mass spectrometry (MS) already implemented in clinical settings. We tested the hypothesis that SRM could be used to quantify cancer biomarkers in human bile. An SRM‐based assay was developed to simultaneously quantify up to 37 peptides from 13 bile proteins in a developmental cohort of 15 patients (MBS, n = 8; benign biliary stricture or obstruction (BBS), n = 7). The most reliable biomarkers were then absolutely quantified by SRM in a verification cohort of 67 patients (MBS, n = 37; BBS, n = 30). The diagnostic performances of single and combined biomarkers were assessed. In the developmental cohort, SRM‐based analysis revealed six protein biomarkers with significantly higher peptide ratios (endogenous vs. standard) in bile from MBS vs. BBS. In the verification cohort, five of these biomarkers proved good diagnostic ability (individual receiver operating characteristic‐area under the receiver operating characteristic curve (ROC‐AUC) up to 0.889, accuracies from 67.8% to 83.1%). Combining bile biomarkers and serum CA19‐9 in 2 panels allowed differentiating MBS from BBS with up to 0.929 ROC‐AUC and 89.8% accuracy. In this study, a newly developed SRM‐based assay proved able to simultaneously quantify multiple biomarkers in bile samples. The combination of bile biomarkers with serum CA19‐9 was highly accurate for the diagnosis of MBS. Liquid biopsy of bile based on targeted MS is eligible to support MBS diagnosis in clinical practice.
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Affiliation(s)
- Annie Adrait
- University Grenoble Alpes, CEA, Inserm, IRIG, BGE, Grenoble, France
| | | | - Myriam Delhaye
- Department of Gastroenterology, Hepatopancreatology and GI Oncology, Erasme University Hospital, Brussels, Belgium
| | | | - Jean-Louis Frossard
- Department of Medicine, Geneva University, Geneva, Switzerland.,Division of Gastroenterology, Geneva University Hospitals, Geneva, Switzerland
| | - Yohann Couté
- University Grenoble Alpes, CEA, Inserm, IRIG, BGE, Grenoble, France
| | - Annarita Farina
- Department of Medicine, Geneva University, Geneva, Switzerland.,Division of Gastroenterology, Geneva University Hospitals, Geneva, Switzerland
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Urman JM, Herranz JM, Uriarte I, Rullán M, Oyón D, González B, Fernandez-Urién I, Carrascosa J, Bolado F, Zabalza L, Arechederra M, Alvarez-Sola G, Colyn L, Latasa MU, Puchades-Carrasco L, Pineda-Lucena A, Iraburu MJ, Iruarrizaga-Lejarreta M, Alonso C, Sangro B, Purroy A, Gil I, Carmona L, Cubero FJ, Martínez-Chantar ML, Banales JM, Romero MR, Macias RI, Monte MJ, Marín JJG, Vila JJ, Corrales FJ, Berasain C, Fernández-Barrena MG, Avila MA. Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach. Cancers (Basel) 2020; 12:cancers12061644. [PMID: 32575903 PMCID: PMC7352944 DOI: 10.3390/cancers12061644] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 12/11/2022] Open
Abstract
Cholangiocarcinoma (CCA) and pancreatic adenocarcinoma (PDAC) may lead to the development of extrahepatic obstructive cholestasis. However, biliary stenoses can also be caused by benign conditions, and the identification of their etiology still remains a clinical challenge. We performed metabolomic and proteomic analyses of bile from patients with benign (n = 36) and malignant conditions, CCA (n = 36) or PDAC (n = 57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Comprehensive analyses of lipids, bile acids and small molecules were carried out using mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (1H-NMR) in all patients. MS analysis of bile proteome was performed in five patients per group. We implemented artificial intelligence tools for the selection of biomarkers and algorithms with predictive capacity. Our machine-learning pipeline included the generation of synthetic data with properties of real data, the selection of potential biomarkers (metabolites or proteins) and their analysis with neural networks (NN). Selected biomarkers were then validated with real data. We identified panels of lipids (n = 10) and proteins (n = 5) that when analyzed with NN algorithms discriminated between patients with and without cancer with an unprecedented accuracy.
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Affiliation(s)
- Jesús M. Urman
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
| | - José M. Herranz
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Iker Uriarte
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - María Rullán
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
| | - Daniel Oyón
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
| | - Belén González
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
| | - Ignacio Fernandez-Urién
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
| | - Juan Carrascosa
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
| | - Federico Bolado
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
| | - Lucía Zabalza
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
| | - María Arechederra
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Gloria Alvarez-Sola
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Leticia Colyn
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - María U. Latasa
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Leonor Puchades-Carrasco
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain;
| | - Antonio Pineda-Lucena
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain;
- Program of Molecular Therapeutics, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain;
| | - María J. Iraburu
- Department of Biochemistry and Genetics, School of Sciences; University of Navarra, 31008 Pamplona, Spain;
| | | | - Cristina Alonso
- OWL Metabolomics, Bizkaia Technology Park, 48160 Derio, Spain; (M.I.-L.); (C.A.)
| | - Bruno Sangro
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Hepatology Unit, Department of Internal Medicine, University of Navarra Clinic, 31008 Pamplona, Spain
| | - Ana Purroy
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- Navarrabiomed Biobank Unit, IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Isabel Gil
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- Navarrabiomed Biobank Unit, IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Lorena Carmona
- Proteomics Unit, Centro Nacional de Biotecnología (CNB) Consejo Superior de Investigaciones Científicas (CSIC), 28049 Madrid, Spain;
| | - Francisco Javier Cubero
- Department of Immunology, Ophtalmology & Ear, Nose and Throat (ENT), Complutense University School of Medicine and 12 de Octubre Health Research Institute (Imas12), 28040 Madrid, Spain;
| | - María L. Martínez-Chantar
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Liver Disease Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain
| | - Jesús M. Banales
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, Donostia University Hospital, 20014 San Sebastian, Spain
- IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
| | - Marta R. Romero
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Experimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Rocio I.R. Macias
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Experimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Maria J. Monte
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Experimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Jose J. G. Marín
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Experimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Juan J. Vila
- Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain; (J.M.U.); (M.R.); (D.O.); (B.G.); (I.F.-U.); (J.C.); (F.B.); (L.Z.); (J.J.V.)
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
| | - Fernando J. Corrales
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Proteomics Unit, Centro Nacional de Biotecnología (CNB) Consejo Superior de Investigaciones Científicas (CSIC), 28049 Madrid, Spain;
| | - Carmen Berasain
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Maite G. Fernández-Barrena
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
| | - Matías A. Avila
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain; (M.A.); (B.S.); (A.P.); (I.G.); (C.B.); (M.G.F.-B.)
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, 28029 Madrid, Spain; (J.M.H.); (I.U.); (G.A.-S.); (M.L.M.-C.); (J.M.B.); (M.R.R.); (R.I.R.M.); (M.J.M.); (J.J.G.M.); (F.J.C.)
- Program of Hepatology, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (L.C.); (M.U.L.)
- Correspondence: ; Tel.: +34-948-194700 (ext. 4003)
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Jalal AH, Alam F, Roychoudhury S, Umasankar Y, Pala N, Bhansali S. Prospects and Challenges of Volatile Organic Compound Sensors in Human Healthcare. ACS Sens 2018; 3:1246-1263. [PMID: 29879839 DOI: 10.1021/acssensors.8b00400] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The chemical signatures of volatile organic compounds (VOCs) in humans can be utilized for point-of-care (POC) diagnosis. Apart from toxic exposure studies, VOCs generated in humans can provide insights into one's healthy and diseased metabolic states, acting as a biomarker for identifying numerous diseases noninvasively. VOC sensors and the technology of e-nose have received significant attention for continuous and selective monitoring of various physiological and pathophysiological conditions of an individual. Noninvasive detection of VOCs is achieved from biomatrices of breath, sweat and saliva. Among these, detection from sweat and saliva can be continuous in real-time. The sensing approaches include optical, chemiresistive and electrochemical techniques. This article provides an overview of such techniques. These, however, have limitations of reliability, precision, selectivity, and stability in continuous monitoring. Such limitations are due to lack of sensor stability and complexity of samples in a multivariate environment, which can lead to false readings. To overcome selectivity barriers, sensor arrays enabling multimodal sensing, have been used with pattern recognition techniques. Stability and precision issues have been addressed through advancements in nanotechnology. The use of various forms of nanomaterial not only enhance sensing performance, but also plays a major role in detection on a miniaturized scale. The rapid growth in medical Internet of Things (IoT) and artificial intelligence paves a pathway for improvements in human theranostics.
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Affiliation(s)
- Ahmed H. Jalal
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Fahmida Alam
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Sohini Roychoudhury
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Yogeswaran Umasankar
- Biomolecular Sciences Institute, Florida International University, Miami, Florida 33199, United States
| | - Nezih Pala
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Shekhar Bhansali
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
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Severino V, Dumonceau JM, Delhaye M, Moll S, Annessi-Ramseyer I, Robin X, Frossard JL, Farina A. Extracellular Vesicles in Bile as Markers of Malignant Biliary Stenoses. Gastroenterology 2017; 153:495-504.e8. [PMID: 28479376 DOI: 10.1053/j.gastro.2017.04.043] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Revised: 04/21/2017] [Accepted: 04/29/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Algorithms for diagnosis of malignant common bile duct (CBD) stenoses are complex and lack accuracy. Malignant tumors secrete large numbers of extracellular vesicles (EVs) into surrounding fluids; EVs might therefore serve as biomarkers for diagnosis. We investigated whether concentrations of EVs in bile could discriminate malignant from nonmalignant CBD stenoses. METHODS We collected bile and blood samples from 50 patients undergoing therapeutic endoscopic retrograde cholangiopancreatography at university hospitals in Europe for CBD stenosis of malignant (pancreatic cancer, n = 20 or cholangiocarcinoma, n = 5) or nonmalignant (chronic pancreatitis [CP], n = 15) origin. Ten patients with CBD obstruction due to biliary stones were included as controls. EV concentrations in samples were determined by nanoparticle tracking analyses. The discovery cohort comprised the first 10 patients with a diagnosis of pancreatic cancer, based on tissue analysis, and 10 consecutive controls. Using samples from these subjects, we identified a threshold concentration of bile EVs that could best discriminate between patients with pancreatic cancer from controls. We verified the diagnostic performance of bile EV concentration by analyzing samples from the 30 consecutive patients with a diagnosis of malignant (pancreatic cancer or cholangiocarcinoma, n = 15) or nonmalignant (CP, n = 15) CBD stenosis. Samples were compared using the Mann-Whitney test and nonparametric Spearman correlation analysis. Receiver operating characteristic area under the curve was used to determine diagnostic accuracy. RESULTS In both cohorts, the median concentration of EVs was significantly higher in bile samples from patients with malignant CBD stenoses than controls or nonmalignant CBD stenoses (2.41 × 1015 vs 1.60 × 1014 nanoparticles/L in the discovery cohort; P < .0001 and 4.00 × 1015 vs 1.26 × 1014 nanoparticles/L in the verification cohort; P < .0001). A threshold of 9.46 × 1014 nanoparticles/L in bile best distinguished patients with malignant CBD from controls in the discovery cohort. In the verification cohort, this threshold discriminated malignant from nonmalignant CBD stenoses with 100% accuracy. Serum concentration of EVs distinguished patients with malignant vs patients with nonmalignant CBD stenoses with 63.3% diagnostic accuracy. CONCLUSIONS Concentration of EVs in bile samples discriminates between patients with malignant vs nonmalignant CBD stenosis with 100% accuracy. Further studies are needed to confirm these findings. Clinical Trial registration no: ISRCTN66835592.
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Affiliation(s)
- Valeria Severino
- Department of Internal Medicine Specialties, University of Geneva, Geneva, Switzerland; Department of Human Protein Science, University of Geneva, Geneva, Switzerland
| | | | - Myriam Delhaye
- Department of Gastroenterology, Hepatopancreatology and GI Oncology, Erasme University Hospital, Brussels, Belgium
| | - Solange Moll
- Department of Pathology, University Hospitals of Geneva, Geneva, Switzerland
| | | | - Xavier Robin
- Biotech Research and Innovation Center, University of Copenhagen, Copenhagen, Denmark
| | - Jean-Louis Frossard
- Department of Internal Medicine Specialties, University of Geneva, Geneva, Switzerland; Service of Gastroenterology and Hepatology, University Hospitals of Geneva, Switzerland
| | - Annarita Farina
- Department of Internal Medicine Specialties, University of Geneva, Geneva, Switzerland; Department of Human Protein Science, University of Geneva, Geneva, Switzerland.
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