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Liu Q, Li S, Mao M, Gui X, Zhang Y, Zhao Y, Yu L, Zhang X, Zhang Y. Serum-volatile organic compounds in the diagnostics of esophageal cancer. Sci Rep 2024; 14:17722. [PMID: 39085271 PMCID: PMC11291479 DOI: 10.1038/s41598-024-67818-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/16/2024] [Indexed: 08/02/2024] Open
Abstract
The early diagnosis of esophageal cancer (EC) is extremely challenging due to a lack of effective diagnostic methods. The study presented herein aims to assess whether serum volatile organic compounds (VOCs) could be utilised as emerging diagnostic biomarkers for EC. Gas chromatography-ion mobility spectrometry (GC-IMS) was used to detect VOCs in the serum samples of 55 patients with EC, with samples from 84 healthy controls (HCs) patients analysed as a comparison. All machine learning analyses were based on data from serum VOCs obtained by GC-IMS. A total of 33 substance peak heights were detected in all patient serum samples. The ROC analysis revealed that four machine learning models were effective in facilitating the diagnosis of EC. In addition, the random forests model for 5 VOCs had an AUC of 0.951, with sensitivities and specificities of 94.1 and 96.0%, respectively.
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Affiliation(s)
- Qi Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Shuhai Li
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Mai Mao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Xinru Gui
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yanli Zhang
- Department of Clinical Laboratory, Shandong Provincial Third Hospital, Shandong University, Jinan, 250031, Shandong, China.
| | - Yuxiao Zhao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Longchen Yu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Xin Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.
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Mondal I, Mansour E, Zheng Y, Gupta R, Haick H. Self-Sustaining Triboelectric Nanosensors for Real-Time Urine Analysis in Smart Toilets. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2403385. [PMID: 39031720 DOI: 10.1002/smll.202403385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/03/2024] [Indexed: 07/22/2024]
Abstract
Healthcare has undergone a revolutionary shift with the advent of smart technologies, and smart toilets (STs) are among the innovative inventions offering non-invasive continuous health monitoring. The present technical challenges toward this development include limited sensitivity of integrated sensors, poor stability, slow response and the requirement external energy supply alongside manual sample collection. In this article, triboelectric nanosensor array (TENSA) is introduced featuring electrodes crafted from laser-induced 3D graphene with functional polymers like polystyrene, polyimide, and polycaprolactone for real-time urine analysis while generating 50 volts output via urine droplet-based triboelectrification. Though modulating interfacial double-layer capacitance, these sensors exhibit exceptional sensitivity and selectivity in detecting a broad spectrum of urinary biomarkers, including ions, glucose, and urea with a classification precision of 95% and concentration identification accuracy of up to 0.97 (R2), supported by artificial neural networks. Upon exposure to urine samples containing elevated levels of Na+, K+, and NH4 +, a notable decrease (ranging from 32% to 68%) is observed in output voltages. Conversely, urea induces an increase up to 13%. Experimental validation confirms the stability, robustness, reliability, and reproducibility of TENSA, representing a significant advancement in healthcare technology, offering the potential for improved disease management and prevention strategies.
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Affiliation(s)
- Indrajit Mondal
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 320002, Israel
| | - Elias Mansour
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 320002, Israel
| | - Youbin Zheng
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 320002, Israel
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK
| | - Ritu Gupta
- Department of Chemistry, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 320002, Israel
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3
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Vermeer E, Jagt JZ, Stewart TK, Covington JA, Struys EA, de Jonge R, de Boer NKH, de Meij TGJ. Faecal Volatile Organic Compound Analysis in De Novo Paediatric Inflammatory Bowel Disease by Gas Chromatography-Ion Mobility Spectrometry: A Case-Control Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:2727. [PMID: 38732837 PMCID: PMC11086370 DOI: 10.3390/s24092727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/15/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024]
Abstract
The gut microbiota and its related metabolites differ between inflammatory bowel disease (IBD) patients and healthy controls. In this study, we compared faecal volatile organic compound (VOC) patterns of paediatric IBD patients and controls with gastrointestinal symptoms (CGIs). Additionally, we aimed to assess if baseline VOC profiles could predict treatment response in paediatric IBD patients. We collected faecal samples from a cohort of de novo therapy-naïve paediatric IBD patients and CGIs. VOCs were analysed using gas chromatography-ion mobility spectrometry (GC-IMS). Response was defined as a combination of clinical response based on disease activity scores, without requiring treatment escalation. We included 109 paediatric IBD patients and 75 CGIs, aged 4 to 17 years. Faecal VOC profiles of paediatric IBD patients were distinguishable from those of CGIs (AUC ± 95% CI, p-values: 0.71 (0.64-0.79), <0.001). This discrimination was observed in both Crohn's disease (CD) (0.75 (0.67-0.84), <0.001) and ulcerative colitis (UC) (0.67 (0.56-0.78), 0.01) patients. VOC profiles between CD and UC patients were not distinguishable (0.57 (0.45-0.69), 0.87). Baseline VOC profiles of responders did not differ from non-responders (0.70 (0.58-0.83), 0.1). In conclusion, faecal VOC profiles of paediatric IBD patients differ significantly from those of CGIs.
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Affiliation(s)
- Eva Vermeer
- Department of Paediatric Gastroenterology, Emma Children’s Hospital, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands; (J.Z.J.); (T.G.J.d.M.)
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands;
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Jasmijn Z. Jagt
- Department of Paediatric Gastroenterology, Emma Children’s Hospital, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands; (J.Z.J.); (T.G.J.d.M.)
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands;
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Trenton K. Stewart
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; (T.K.S.); (J.A.C.)
| | - James A. Covington
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; (T.K.S.); (J.A.C.)
| | - Eduard A. Struys
- Department of Laboratory Medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands; (E.A.S.); (R.d.J.)
| | - Robert de Jonge
- Department of Laboratory Medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands; (E.A.S.); (R.d.J.)
| | - Nanne K. H. de Boer
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands;
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Tim G. J. de Meij
- Department of Paediatric Gastroenterology, Emma Children’s Hospital, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands; (J.Z.J.); (T.G.J.d.M.)
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands;
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam University Medical Centre, 1105 AZ Amsterdam, The Netherlands
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Martínez-Moral MP, Tena MT, Martín-Carnicero A, Martínez A. Highly sensitive serum volatolomic biomarkers for pancreatic cancer diagnosis. Clin Chim Acta 2024; 557:117895. [PMID: 38561063 DOI: 10.1016/j.cca.2024.117895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/04/2024] [Accepted: 03/29/2024] [Indexed: 04/04/2024]
Abstract
The discovery of new diagnostic tools for the early detection of diseases with poor prognosis such as pancreatic adenocarcinoma (PAC) is of high importance. The results from a control-case study (20 PAC patients, 19 healthy controls) for the search of new biomarkers of pancreatic cancer based in differences in the serum volatolome are presented in this work. Volatolomics were performed following a non-targeted HS-SPME-GC/MS approach, and a total of 433 volatile organic compounds (VOCs) was detected in the human serum samples. Of these, 125 VOC indexes showed a significant variation when controls and patients were compared (p-value < 0.05). Bonferroni corrected p-values < 0.05 were found for 40 features. PCA analysis showed the control-PAC discrimination capability of VOCs in serum, and PLS-DA was performed to select the best candidate biomarkers for the diagnosis of PAC. For the 40 selected VOCs, calculated areas under the curve (AUC) ranged from 0.98 to 0.85, and 11 of them were successfully validated using an independent set of samples (5 PAC patients, 5 healthy controls). Four of the proposed PAC biomarkers were identified as toluene, 2-ethyl-1-hexanol, pentylbenzene, and butoxymethylbenzene. Combinations of the identified PAC biomarkers were tested and showed AUC > 0.90, with the more promising candidate being butoxymethylbenzene (AUC = 0.98).
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Affiliation(s)
- María-Pilar Martínez-Moral
- Oncology Area, Center for Biomedical Research of La Rioja (CIBIR), C/ Piqueras 98, 26006 Logroño, Spain; Department of Chemistry, University of La Rioja, C/ Madre de Dios 51, 26006 Logroño, Spain.
| | - María Teresa Tena
- Department of Chemistry, University of La Rioja, C/ Madre de Dios 51, 26006 Logroño, Spain.
| | - Alfonso Martín-Carnicero
- Oncology Area, Center for Biomedical Research of La Rioja (CIBIR), C/ Piqueras 98, 26006 Logroño, Spain; Medical Oncology Department, Hospital San Pedro, C/Piqueras 98, 26006 Logroño, Spain.
| | - Alfredo Martínez
- Oncology Area, Center for Biomedical Research of La Rioja (CIBIR), C/ Piqueras 98, 26006 Logroño, Spain.
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Qi Y, Lv X, Ma J, Lei M, Feng C, Lu W, Ji Z, Wang Y, Wang Y, Li X. Volatile-compound fingerprinting and discrimination of positional isomers in stamp-pad ink tracing using HS-GC-IMS combined with multivariate statistical analysis. Anal Bioanal Chem 2024; 416:1293-1305. [PMID: 38189918 DOI: 10.1007/s00216-023-05121-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/09/2024]
Abstract
The rising crime rate associated with document forgery has a significant impact on public safety and social stability. In document fraud cases, determining the origin of a particular stamp-pad ink is the most important objective. In this study, a comprehensive analysis of the volatile compounds in quick-drying stamp-pad inks from six commonly used brands were performed for the first time, utilizing a combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and multivariate statistical analysis methods. Visual and comparative analysis of the differential volatile components among different stamp-pad ink samples was conducted using fingerprints and volcano plots. A total of 127 volatile compounds were accurately identified, with ketones, esters, alcohols, and aldehydes being the most abundant compounds in the stamp-pad inks. Hierarchical clustering analysis (HCA), including dendrograms and clustering heatmaps, was utilized to explore the correlations between these compounds and the samples. Additionally, the precise identification of positional isomers and functional group isomers of aliphatic compounds was achieved. To achieve accurate discrimination of various stamp-pad ink samples, a multivariate statistical analysis method was utilized to establish a classification model for them. Based on the results obtained from HS-GC-IMS, effective discrimination among different brands of stamp-pad ink samples was achieved through principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). The model exhibited excellent performance, with the fit index of dependent variables (R2Y) and the predictive index of the model (Q2) values of 0.99 and 0.984, respectively. These results provided significant theoretical evidence for the application of HS-GC-IMS as an efficient technique in the analysis of volatile compounds, identification of positional isomers and functional group isomers, as well as tracing the origin of stamp-pad ink and analyzing the formation time of documents.
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Affiliation(s)
- Yinghua Qi
- Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), Shanghai, China
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Xinhua Lv
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Junchao Ma
- Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), Shanghai, China.
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China.
| | - Mingyuan Lei
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Chao Feng
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Wenhui Lu
- Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), Shanghai, China
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Zhongyuan Ji
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Yichen Wang
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Yuchen Wang
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China
| | - Xuebo Li
- Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), Shanghai, China.
- Characteristic Laboratory of Forensic Science in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, China.
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Vassilenko V, Moura PC, Raposo M. Diagnosis of Carcinogenic Pathologies through Breath Biomarkers: Present and Future Trends. Biomedicines 2023; 11:3029. [PMID: 38002028 PMCID: PMC10669878 DOI: 10.3390/biomedicines11113029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
The assessment of volatile breath biomarkers has been targeted with a lot of interest by the scientific and medical communities during the past decades due to their suitability for an accurate, painless, non-invasive, and rapid diagnosis of health states and pathological conditions. This paper reviews the most relevant bibliographic sources aiming to gather the most pertinent volatile organic compounds (VOCs) already identified as putative cancer biomarkers. Here, a total of 265 VOCs and the respective bibliographic sources are addressed regarding their scientifically proven suitability to diagnose a total of six carcinogenic diseases, namely lung, breast, gastric, colorectal, prostate, and squamous cell (oesophageal and laryngeal) cancers. In addition, future trends in the identification of five other forms of cancer, such as bladder, liver, ovarian, pancreatic, and thyroid cancer, through perspective volatile breath biomarkers are equally presented and discussed. All the results already achieved in the detection, identification, and quantification of endogenous metabolites produced by all kinds of normal and abnormal processes in the human body denote a promising and auspicious future for this alternative diagnostic tool, whose future passes by the development and employment of newer and more accurate collection and analysis techniques, and the certification for utilisation in real clinical scenarios.
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Affiliation(s)
- Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516 Caparica, Portugal;
| | - Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516 Caparica, Portugal;
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7
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Liu Q, Li S, Li Y, Yu L, Zhao Y, Wu Z, Fan Y, Li X, Wang Y, Zhang X, Zhang Y. Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer. Sci Rep 2023; 13:18587. [PMID: 37903959 PMCID: PMC10616168 DOI: 10.1038/s41598-023-45989-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/26/2023] [Indexed: 11/01/2023] Open
Abstract
Early diagnosis of esophageal cancer (EC) is extremely challenging. The study presented herein aimed to assess whether urinary volatile organic compounds (VOCs) may be emerging diagnostic biomarkers for EC. Urine samples were collected from EC patients and healthy controls (HCs). Gas chromatography-ion mobility spectrometry (GC-IMS) was next utilised for volatile organic compound detection and predictive models were constructed using machine learning algorithms. ROC curve analysis indicated that an 8-VOCs based machine learning model could aid the diagnosis of EC, with the Random Forests having a maximum AUC of 0.874 and sensitivities and specificities of 84.2% and 90.6%, respectively. Urine VOC analysis aids in the diagnosis of EC.
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Affiliation(s)
- Qi Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Shuhai Li
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yaping Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Longchen Yu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yuxiao Zhao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Zhihong Wu
- Department of Traditional Chinese Medicine, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.
| | - Yingjing Fan
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Xinyang Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yifeng Wang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Xin Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.
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8
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Ayala CE, Vaughan SR, Pérez RL, Leonard BS, King B, Jorgensen K, Warner IM. Influence of humidity on accuracy of QCM - IR780-based GUMBOS sensor arrays. Anal Chim Acta 2023; 1278:341677. [PMID: 37709438 DOI: 10.1016/j.aca.2023.341677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 07/27/2023] [Accepted: 07/29/2023] [Indexed: 09/16/2023]
Abstract
Herein, hydrophobic coating materials are reported for QCM detection of VOCs under dry and humid conditions. In this study, IR780-based GUMBOS ([IR780][OTf] and [IR780][NTf2]) were synthesized using an ion exchange reaction and the anions trifluoromethanesulfonimide ([OTf]) and bisperfluoromethanesulfonimide ([NTf2]). The parent iodide salts and GUMBOS ([IR780][I]), [IR780][OTf], and [IR780][NTf2]) were characterized using several analytical techniques. These salts were then employed as sensor coatings on quartz crystal resonators using an electrospray coating method. These sensors were exposed to four flow ratios of five common VOCs in the absence and presence of 10 vol% water. Fundamental frequency responses were recorded and further employed as input variables to develop highly accurate multi-sensor arrays (MSAs). Accuracy was better than 78.3% without water, and better than 91.7% in the presence of water. When multi-harmonic responses were evaluated as input variables to assess discrimination ability for each sensor, highly accurate virtual sensor arrays (VSAs) were developed using each GUMBOS coating. In the case of [IR780][NTf2], a slight improvement in discrimination was achieved in the presence of water (95%) versus the absence of water. Moreover, this study highlights development of readily synthesized hydrophobic coatings of IR780-based GUMBOS for potential detection and discrimination of VOCs in aqueous systems.
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Affiliation(s)
- Caitlan E Ayala
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Stephanie R Vaughan
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Rocío L Pérez
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA; Department of Chemistry and Biochemistry, Georgia Southern University, Statesboro, GA, 30458, USA.
| | - Breona S Leonard
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Baleigh King
- Department of Chemistry and Biochemistry, Georgia Southern University, Statesboro, GA, 30458, USA
| | - Kyle Jorgensen
- Department of Chemistry and Biochemistry, Georgia Southern University, Statesboro, GA, 30458, USA
| | - Isiah M Warner
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA.
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9
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Tan SY, Ma Q, Li F, Jiang H, Peng XY, Dong J, Ye X, Wang QL, You FM, Fu X, Ren YF. Does the last 20 years paradigm of clinical research using volatile organic compounds to non-invasively diagnose cancer need to change? Challenges and future direction. J Cancer Res Clin Oncol 2023; 149:10377-10386. [PMID: 37273109 DOI: 10.1007/s00432-023-04940-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023]
Abstract
PURPOSE Volatile organic compounds (VOCs) have shown great potential as novel biomarkers for cancer detection; however, comprehensive quantitative analysis is lacking. In this study, we performed a bibliometric analysis of non-invasive cancer diagnosis using VOCs to better characterise international trends and to predict future hotspots in this field, and then we focussed on human studies to analyse clinical characteristics for presenting the current controversies and future perspectives of further clinical work. METHODS Publications, from 2002 to 2022, were retrieved from the Web of Science Core Collection database. CiteSpace and VOSviewer were used to generate network maps and identify the annual publications, top countries, authors, institutions, journals, references, and keywords. Then, we further screened clinical trials, and the key information was extracted into Microsoft Excel for further systematical analysis. RESULTS Six hundred and forty-one articles were identified to evaluate research trends, of which 301 clinical trials were selected for further systematical analysis. Overall, the annual publications in this area increased, with an overall upward trend, while the quality of clinical research remains remarkably uneven. CONCLUSION The study of non-invasive cancer diagnosis using VOCs would continue to be an active field. However, without stringent clinical design criteria, most suitable acquisition and analysis devices and statistical approaches, a list of exclusive, specific, reliable and reproducible VOCs to identify a disease and these VOCs appearing in a breath at detectable levels at early stage disease, the clinical utility of VOC tests will be difficult to have any breakthroughs.
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Affiliation(s)
- Shi-Yan Tan
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Qiong Ma
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Fang Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Hua Jiang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xiao-Yun Peng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Jing Dong
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xin Ye
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Qiao-Ling Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Feng-Ming You
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xi Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China.
| | - Yi-Feng Ren
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China.
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10
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Moura PC, Raposo M, Vassilenko V. Breath volatile organic compounds (VOCs) as biomarkers for the diagnosis of pathological conditions: A review. Biomed J 2023; 46:100623. [PMID: 37336362 PMCID: PMC10339195 DOI: 10.1016/j.bj.2023.100623] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 06/21/2023] Open
Abstract
Normal and abnormal/pathological status of physiological processes in the human organism can be characterized through Volatile Organic Compounds (VOCs) emitted in breath. Recently, a wide range of volatile analytes has risen as biomarkers. These compounds have been addressed in the scientific and medical communities as an extremely valuable metabolic window. Once collected and analysed, VOCs can represent a tool for a rapid, accurate, non-invasive, and painless diagnosis of several diseases and health conditions. These biomarkers are released by exhaled breath, urine, faeces, skin, and several other ways, at trace concentration levels, usually in the ppbv (μg/L) range. For this reason, the analytical techniques applied for detecting and clinically exploiting the VOCs are extremely important. The present work reviews the most promising results in the field of breath biomarkers and the most common methods of detection of VOCs. A total of 16 pathologies and the respective database of compounds are addressed. An updated version of the VOCs biomarkers database can be consulted at: https://neomeditec.com/VOCdatabase/.
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Affiliation(s)
- Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal
| | - Maria Raposo
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal.
| | - Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal.
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11
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Gurrani S, Prakasham K, Huang PC, Wu MT, Wu CF, Lin YC, Tsai B, Krishnan A, Tsai PC, Ponnusamy VK. Simultaneous biomonitoring of volatile organic compounds' metabolites in human urine samples using a novel in-syringe based fast urinary metabolites extraction (FaUMEx) technique coupled with UHPLC-MS/MS analysis. CHEMOSPHERE 2023; 329:138667. [PMID: 37059207 DOI: 10.1016/j.chemosphere.2023.138667] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/31/2023] [Accepted: 04/10/2023] [Indexed: 05/03/2023]
Abstract
Assessing the impact of human exposure to environmental toxicants is often crucial to biomonitoring the exposed dose. In this work, we report a novel fast urinary metabolites extraction (FaUMEx) technique coupled with UHPLC-MS/MS analysis for the highly sensitive and simultaneous biomonitoring of the five major urinary metabolites (thiodiglycolic acid, s-phenylmercapturic acid, t,t-muconic acid, mandelic acid, and phenyl glyoxylic acid) of common volatile organic compounds' (VOCs) exposure (vinyl chloride, benzene, styrene, and ethylbenzene) in human. FaUMEx technique comprises of two-steps, liquid-liquid microextraction was performed first in an extraction syringe using 1 mL of methanol (pH 3) as an extraction solvent and then, the extractant was passed through a clean-up syringe (pre-packed-with various sorbents including 500 mg anhydrous MgSO4, 50 mg C18, and 50 mg SiO2) to obtain the high order of matrice clean-up and preconcentration efficiency. The developed method displayed excellent linearity, and the correlation coefficients were >0.998 for all the target metabolites with detection and quantification limits of 0.02-0.24 ng mL-1 and 0.05-0.72 ng mL-1, respectively. Furthermore, the matrix effects were < ±5%, and inter and intra-day precision were <9%. Moreover, the presented method was applied and validated to real sample analysis for biomonitoring of VOC's exposure levels. The results showed that the developed FaUMEx-UHPLC-MS/MS method is fast, simple, low-cost, low-solvent consumption, high sensitivity with good accuracy and precision for five targeted urinary VOCs' metabolites. Therefore, the presented dual-syringe mode FaUMEx strategy with UHPLC-MS/MS technique can be applied to biomonitoring of various urinary metabolites to assess human exposure to environmental toxicants.
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Affiliation(s)
- Swapnil Gurrani
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Karthikeyan Prakasham
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Po-Chin Huang
- National Institute of Environmental Health Sciences, National Health Research Institutes (NHRI), Miaoli County, 35053, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Ming-Tsang Wu
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Public Health, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chia-Fang Wu
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; International Master Program of Translational Medicine, College of Engineering and Science, National United University, Miaoli, Taiwan
| | - Yu-Chia Lin
- Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District., Kaohsiung City, 813, Taiwan
| | - Bongee Tsai
- Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District., Kaohsiung City, 813, Taiwan
| | - Anbarasu Krishnan
- Department of Computational Biology, Institute of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, India
| | - Pei-Chien Tsai
- Department of Computational Biology, Institute of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, India; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Vinoth Kumar Ponnusamy
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital (KMUH), Kaohsiung City, 807, Taiwan.
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12
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Zhao W, Whelton HL, Blong JC, Shillito LM, Jenkins DL, Bull ID. Volatile organic compounds (VOCs) as a rapid means for assessing the source of coprolites. iScience 2023; 26:106806. [PMID: 37255664 PMCID: PMC10225897 DOI: 10.1016/j.isci.2023.106806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/22/2022] [Accepted: 05/01/2023] [Indexed: 06/01/2023] Open
Abstract
The odor of rehydrated coprolites can be used as an informal means of fecal identification. To date, the analysis of volatiles emitted by coprolites from different sources has not been attempted, and the possibility of utilizing volatile organic compounds (VOCs) as fecal biomarkers unexplored. VOCs released by coprolites from the Paisley Caves, were analyzed using solid-phase microextraction (SPME), to assess the variance of results from different coprolites (carnivores, herbivores, or humans). Coprolites from carnivores can be clearly distinguished from those produced by herbivores and humans; these latter two are separated to a lesser degree. Eight discriminatory compounds differentiated between the coprolite sources, and their identities were verified using reference standards. Coprolites and their associated sediments could not be differentiated between using this method, suggesting leaching of VOCs into the burial matrix. This work provides an alternative, more rapid way to assess coprolite origin.
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Affiliation(s)
- Wanyue Zhao
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Cantock’s Close, Bristol BS8 1TS, UK
| | - Helen L. Whelton
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Cantock’s Close, Bristol BS8 1TS, UK
| | - John C. Blong
- Department of Anthropology, Washington State University, College Hall, Pullman, WA 99164-4910, USA
| | - Lisa-Marie Shillito
- School of History, Classics and Archaeology, Armstrong Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Dennis L. Jenkins
- Museum of Natural and Cultural History, University of Oregon, Eugene, OR 97403, USA
| | - Ian D. Bull
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Cantock’s Close, Bristol BS8 1TS, UK
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13
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Liu Q, Fan Y, Zeng S, Zhao Y, Yu L, Zhao L, Gao J, Zhang X, Zhang Y. Volatile organic compounds for early detection of prostate cancer from urine. Heliyon 2023; 9:e16686. [PMID: 37303549 PMCID: PMC10250727 DOI: 10.1016/j.heliyon.2023.e16686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 06/13/2023] Open
Abstract
Prostate cancer (PCa) is one of the most common cancers in men worldwide. Early diagnosis of PCa is extremely challenging due to the lack of effective diagnostic methods. The study presented here aims to evaluate whether urine volatile organic compounds (VOCs) can be used as an emerging diagnostic biomarker for PCa. Gas chromatography-ion mobility spectrometry (GC-IMS) was used to detect VOCs in urine samples from 66 patients with PCa and to comparatively analyze samples from 87 patients with non-cancerous controls (NCs). A total of 86 substance peak heights were detected in urine samples from all patients. Analysis using four machine learning algorithms suggested that the diagnosis of PCa could be effectively facilitated. Ultimately, diagnostic models were constructed based on the four VOCs selected. The AUC for the RF and SVM model were 0.955 and 0.981, respectively. Both the NN and DT diagnostic models also achieved an AUC of 0.8 or more, but their sensitivity or specificity was poor compared to the RF and SVM models.
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Affiliation(s)
- Qi Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Yingjing Fan
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Shunjie Zeng
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Yuxiao Zhao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Longchen Yu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Liqiang Zhao
- Department of Research and Development, Hanon Advanced Technology Group Co., Ltd, Jinan, China
| | - Jingxian Gao
- Department of Research and Development, Hanon Advanced Technology Group Co., Ltd, Jinan, China
| | - Xin Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, Shandong, 250012, China
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14
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Jordaens S, Zwaenepoel K, Tjalma W, Deben C, Beyers K, Vankerckhoven V, Pauwels P, Vorsters A. Urine biomarkers in cancer detection: A systematic review of preanalytical parameters and applied methods. Int J Cancer 2023; 152:2186-2205. [PMID: 36647333 DOI: 10.1002/ijc.34434] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/25/2022] [Accepted: 12/29/2022] [Indexed: 01/18/2023]
Abstract
The aim of this review was to explore the status of urine sampling as a liquid biopsy for noninvasive cancer research by reviewing used preanalytical parameters and protocols. We searched two main health sciences databases, PubMed and Web of Science. From all eligible publications (2010-2022), information was extracted regarding: (a) study population characteristics, (b) cancer type, (c) urine preanalytics, (d) analyte class, (e) isolation method, (f) detection method, (g) comparator used, (h) biomarker type, (i) conclusion and (j) sensitivity and specificity. The search query identified 7835 records, of which 924 unique publications remained after screening the title, abstract and full text. Our analysis demonstrated that many publications did not report information about the preanalytical parameters of their urine samples, even though several other studies have shown the importance of standardization of sample handling. Interestingly, it was noted that urine is used for many cancer types and not just cancers originating from the urogenital tract. Many different types of relevant analytes have been shown to be found in urine. Additionally, future considerations and recommendations are discussed: (a) the heterogeneous nature of urine, (b) the need for standardized practice protocols and (c) the road toward the clinic. Urine is an emerging liquid biopsy with broad applicability in different analytes and several cancer types. However, standard practice protocols for sample handling and processing would help to elaborate the clinical utility of urine in cancer research, detection and disease monitoring.
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Affiliation(s)
- Stephanie Jordaens
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Novosanis NV, Wijnegem, Belgium
| | - Karen Zwaenepoel
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Laboratory of Pathological Anatomy, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Wiebren Tjalma
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Multidisciplinary Breast Clinic, Gynecological Oncology Unit, Department of Obstetrics and Gynecology, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Christophe Deben
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium
| | | | - Vanessa Vankerckhoven
- Novosanis NV, Wijnegem, Belgium.,Center for Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Patrick Pauwels
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Laboratory of Pathological Anatomy, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Alex Vorsters
- Center for Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
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15
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Riccio G, Berenguer CV, Perestrelo R, Pereira F, Berenguer P, Ornelas CP, Sousa AC, Vital JA, Pinto MDC, Pereira JAM, Greco V, Câmara JS. Differences in the Volatilomic Urinary Biosignature of Prostate Cancer Patients as a Feasibility Study for the Detection of Potential Biomarkers. Curr Oncol 2023; 30:4904-4921. [PMID: 37232828 DOI: 10.3390/curroncol30050370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/18/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023] Open
Abstract
Prostate cancer (PCa) continues to be the second most common malignant tumour and the main cause of oncological death in men. Investigating endogenous volatile organic metabolites (VOMs) produced by various metabolic pathways is emerging as a novel, effective, and non-invasive source of information to establish the volatilomic biosignature of PCa. In this study, headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME/GC-MS) was used to establish the urine volatilomic profile of PCa and identify VOMs that can discriminate between the two investigated groups. This non-invasive approach was applied to oncological patients (PCa group, n = 26) and cancer-free individuals (control group, n = 30), retrieving a total of 147 VOMs from various chemical families. This included terpenes, norisoprenoid, sesquiterpenes, phenolic, sulphur and furanic compounds, ketones, alcohols, esters, aldehydes, carboxylic acid, benzene and naphthalene derivatives, hydrocarbons, and heterocyclic hydrocarbons. The data matrix was subjected to multivariate analysis, namely partial least-squares discriminant analysis (PLS-DA). Accordingly, this analysis showed that the group under study presented different volatomic profiles and suggested potential PCa biomarkers. Nevertheless, a larger cohort of samples is required to boost the predictability and accuracy of the statistical models developed.
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Affiliation(s)
- Giulia Riccio
- Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Univesità Cattolica del Sacro Cuore, 00168 Rome, Italy
- Unity of Chemistry, Biochemistry and Clinical Molecular Biology, Department of Diagnostic and Laboratory Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Cristina V Berenguer
- CQM-Centro de Química da Madeira, NPRG, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - Rosa Perestrelo
- CQM-Centro de Química da Madeira, NPRG, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - Ferdinando Pereira
- Serviço de Urologia, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM-Serviço de Saúde da Região Autónoma da Madeira, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
| | - Pedro Berenguer
- Centro de Investigação Dra Maria Isabel Mendonça, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
- RO-RAM-Registo Oncológico da Região Autónoma da Madeira, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
| | - Cristina P Ornelas
- Centro de Saúde do Bom Jesus, SESARAM, EPERAM, Rua das Hortas, nº67, 9050-024 Funchal, Portugal
| | - Ana Célia Sousa
- Centro de Investigação Dra Maria Isabel Mendonça, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
| | - João Aragão Vital
- Serviço de Urologia, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM-Serviço de Saúde da Região Autónoma da Madeira, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
| | - Maria do Carmo Pinto
- Serviço de Urologia, Hospital Dr. Nélio Mendonça, SESARAM, EPERAM-Serviço de Saúde da Região Autónoma da Madeira, Avenida Luís de Camões, nº57, 9004-514 Funchal, Portugal
| | - Jorge A M Pereira
- CQM-Centro de Química da Madeira, NPRG, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - Viviana Greco
- Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Univesità Cattolica del Sacro Cuore, 00168 Rome, Italy
- Unity of Chemistry, Biochemistry and Clinical Molecular Biology, Department of Diagnostic and Laboratory Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - José S Câmara
- CQM-Centro de Química da Madeira, NPRG, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
- Departamento de Química, Faculdade de Ciências Exatas e Engenharia, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
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16
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Pelling M, Chandrapalan S, West E, Arasaradnam RP. A Systematic Review and Meta-Analysis: Volatile Organic Compound Analysis in the Detection of Hepatobiliary and Pancreatic Cancers. Cancers (Basel) 2023; 15:cancers15082308. [PMID: 37190235 DOI: 10.3390/cancers15082308] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Hepatobiliary cancers are notoriously difficult to detect, frequently leading to diagnosis in later stages of disease when curative treatment is not an option. The currently used biomarkers such as AFP (alpha-fetoprotein) and CA19.9 lack sensitivity and specificity. Hence, there is an unmet need for an alternative biomarker. AIM To evaluate the diagnostic accuracy of volatile organic compounds (VOCs) for the detection of hepatobiliary and pancreatic cancers. METHODS A systematic review of VOCs' use in the detection of hepatobiliary and pancreatic cancers was performed. A meta-analysis was performed using the software R. Heterogeneity was explored through meta-regression analysis. RESULTS A total of 18 studies looking at 2296 patients were evaluated. Pooled sensitivity and specificity of VOCs for the detection of hepatobiliary and pancreatic cancer were 0.79 (95% CI, 0.72-0.85) and 0.81 (97.5% CI, 0.76-0.85), respectively. The area under the curve was 0.86. Meta-regression analysis showed that the sample media used contributed to heterogeneity. Bile-based VOCs showed the highest precision values, although urine and breath are preferred for their feasibility. CONCLUSIONS Volatile organic compounds have the potential to be used as an adjunct tool to aid in the early diagnosis of hepatobiliary cancers.
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Affiliation(s)
- Melina Pelling
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | | | - Emily West
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Ramesh P Arasaradnam
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
- Department of Gastroenterology, University Hospital of Coventry and Warwickshire, Coventry CV2 2DX, UK
- Health, Biological & Experimental Sciences, University of Coventry, Coventry CV1 5FB, UK
- School of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
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17
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Einoch Amor R, Levy J, Broza YY, Vangravs R, Rapoport S, Zhang M, Wu W, Leja M, Behar JA, Haick H. Liquid Biopsy-Based Volatile Organic Compounds from Blood and Urine and Their Combined Data Sets for Highly Accurate Detection of Cancer. ACS Sens 2023; 8:1450-1461. [PMID: 36926819 DOI: 10.1021/acssensors.2c02422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Liquid biopsy is seen as a prospective tool for cancer screening and tracking. However, the difficulty lies in effectively sieving, isolating, and overseeing cancer biomarkers from the backdrop of multiple disrupting cells and substances. The current study reports on the ability to perform liquid biopsy without the need to physically filter and/or isolate the cancer cells per se. This has been achieved through the detection and classification of volatile organic compounds (VOCs) emitted from the cancer cells found in the headspace of blood or urine samples or a combined data set of both. Spectrometric analysis shows that blood and urine contain complementary or overlapping VOC information on kidney cancer, gastric cancer, lung cancer, and fibrogastroscopy subjects. Based on this information, a nanomaterial-based chemical sensor array in conjugation with machine learning as well as data fusion of the signals achieved was carried out on various body fluids to assess the VOC profiles of cancer. The detection of VOC patterns by either Gas Chromatography-Mass Spectrometry (GC-MS) analysis or our sensor array achieved >90% accuracy, >80% sensitivity, and >80% specificity in different binary classification tasks. The hybrid approach, namely, analyzing the VOC datasets of blood and urine together, contributes an additional discrimination ability to the improvement (>3%) of the model's accuracy. The contribution of the hybrid approach for an additional discrimination ability to the improvement of the model's accuracy is examined and reported.
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Affiliation(s)
- Reef Einoch Amor
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Jeremy Levy
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Reinis Vangravs
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Shelley Rapoport
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Min Zhang
- School of Chemistry and Molecular Engineering, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
| | - Weiwei Wu
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
| | - Marcis Leja
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Joachim A Behar
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
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18
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Identification and validation of volatile organic compounds in bile for differential diagnosis of perihilar cholangiocarcinoma. Clin Chim Acta 2023; 541:117235. [PMID: 36716909 DOI: 10.1016/j.cca.2023.117235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/12/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
Early and differential diagnosis of perihilar cholangiocarcinoma (PHCCA) is highly challenging. This study aimed to evaluate whether volatile organic compounds (VOCs) in bile samples could be emerging diagnostic biomarkers for PHCCA. We collected 200 bile samples from patients with PHCCA and benign biliary diseases (BBD), including a 140-patient training cohort and an 60-patient test cohort. Gas chromatography-ion mobility spectrometry (GC-IMS) was used for VOCs detection. The predictive models were constructed using machine learning algorithms. Our analysis detected 19 VOC substances using GC-IMS in the bile samples and resulted in the identification of three new VOCs, 2-methoxyfuran, propyl isovalerate, and diethyl malonate that were found in bile. Unsupervised hierarchical clustering analysis supported that VOCs detected in the bile could distinguish PHCCA from BBD. Twelve VOCs defined according to 32 signal peaks had significant statistical significance between BBD and PHCCA, including four up-regulated VOCs in PHCCA, such as 2-ethyl-1-hexanol, propyl isovalerate, cyclohexanone, and acetophenone, while the rest eight VOCs were down-regulated. ROC curve analysis revealed that machine learning models based on VOCs could help diagnosing PHCCA. Among them, SVM provided the highest AUC of 0·966, with a sensitivity and specificity of 93·1% and 100%, respectively. The diagnostic model based on different VOC spectra could be a feasible method for the differential diagnosis of PHCCA.
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19
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da Costa BRB, da Silva RR, Bigão VLCP, Peria FM, De Martinis BS. Hybrid volatilomics in cancer diagnosis by HS-GC-FID fingerprinting. J Breath Res 2023; 17. [PMID: 36634358 DOI: 10.1088/1752-7163/acb284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/12/2023] [Indexed: 01/14/2023]
Abstract
Assessing volatile organic compounds (VOCs) as cancer signatures is one of the most promising techniques toward developing non-invasive, simple, and affordable diagnosis. Here, we have evaluated the feasibility of employing static headspace extraction (HS) followed by gas chromatography with flame ionization detector (GC-FID) as a screening tool to discriminate between cancer patients (head and neck-HNC,n= 15; and gastrointestinal cancer-GIC,n= 19) and healthy controls (n= 37) on the basis of a non-target (fingerprinting) analysis of oral fluid and urine. We evaluated the discrimination considering a single bodily fluid and adopting the hybrid approach, in which the oral fluid and urinary VOCs profiles were combined through data fusion. We used supervised orthogonal partial least squares discriminant analysis for classification, and we assessed the prediction power of the models by analyzing the values of goodness of prediction (Q2Y), area under the curve (AUC), sensitivity, and specificity. The individual models HNC urine, HNC oral fluid, and GIC oral fluid successfully discriminated between healthy controls and positive samples (Q2Y = 0.560, 0.525, and 0.559; AUC = 0.814, 0.850, and 0.926; sensitivity = 84.8, 70.2, and 78.6%; and specificity = 82.3; 81.5; 87.5%, respectively), whereas GIC urine was not adequate (Q2Y = 0.292, AUC = 0.694, sensitivity = 66.1%, and specificity = 77.0%). Compared to the respective individual models, Q2Y for the hybrid models increased (0.623 for hybrid HNC and 0.562 for hybrid GIC). However, sensitivity was higher for HNC urine and GIC oral fluid than for hybrid HNC (75.6%) and hybrid GIC (69.8%), respectively. These results suggested that HS-GC-FID fingerprinting is suitable and holds great potential for cancer screening. Additionally, the hybrid approach tends to increase the predictive power if the individual models present suitable quality parameter values. Otherwise, it is more advantageous to use a single body fluid for analysis.
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Affiliation(s)
- Bruno Ruiz Brandão da Costa
- Department of Clinical, Toxicological and Food Sciences, School of Pharmaceutical, Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto CEP 14040-903, Brazil
| | - Ricardo Roberto da Silva
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto CEP 14040-903, Brazil
| | - Vítor Luiz Caleffo Piva Bigão
- Department of Clinical, Toxicological and Food Sciences, School of Pharmaceutical, Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto CEP 14040-903, Brazil
| | - Fernanda Maris Peria
- Division of Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto CEP 14049-900, Brazil
| | - Bruno Spinosa De Martinis
- Department of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto CEP 14040-901, Brazil
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20
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Laird S, Debenham L, Chandla D, Chan C, Daulton E, Taylor J, Bhat P, Berry L, Munthali P, Covington JA. Breath Analysis of COVID-19 Patients in a Tertiary UK Hospital by Optical Spectrometry: The E-Nose CoVal Study. BIOSENSORS 2023; 13:bios13020165. [PMID: 36831932 PMCID: PMC9953365 DOI: 10.3390/bios13020165] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 05/31/2023]
Abstract
Throughout the SARS-CoV-2 pandemic, diagnostic technology played a crucial role in managing outbreaks on a national and global level. One diagnostic modality that has shown promise is breath analysis, due to its non-invasive nature and ability to give a rapid result. In this study, a portable FTIR (Fourier Transform Infra-Red) spectrometer was used to detect chemical components in the breath from Covid positive symptomatic and asymptomatic patients versus a control cohort of Covid negative patients. Eighty-five patients who had a nasopharyngeal polymerase chain reaction (PCR) test for the detection of SARS-CoV-2 within the last 5 days were recruited to the study (36 symptomatic PCR positive, 23 asymptomatic PCR positive and 26 asymptomatic PCR negative). Data analysis indicated significant difference between the groups, with SARS-CoV-2 present on PCR versus the negative PCR control group producing an area under the curve (AUC) of 0.87. Similar results were obtained comparing symptomatic versus control and asymptomatic versus control. The asymptomatic results were higher than the symptomatic (0.88 vs. 0.80 AUC). When analysing individual chemicals, we found ethanol, methanol and acetaldehyde were the most important, with higher concentrations in the COVID-19 group, with symptomatic patients being higher than asymptomatic patients. This study has shown that breath analysis can provide significant results that distinguish patients with or without COVID-19 disease/carriage.
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Affiliation(s)
- Steven Laird
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Coventry and Warwickshire Pathology Service, University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Luke Debenham
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Danny Chandla
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Cathleen Chan
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Coventry and Warwickshire Pathology Service, University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Emma Daulton
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK
| | - Johnathan Taylor
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Coventry and Warwickshire Pathology Service, University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Palashika Bhat
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Lisa Berry
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Coventry and Warwickshire Pathology Service, University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Peter Munthali
- University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
- Coventry and Warwickshire Pathology Service, University of Coventry and Warwickshire Hospital Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
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21
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Wen Q, Myridakis A, Boshier PR, Zuffa S, Belluomo I, Parker AG, Chin ST, Hakim S, Markar SR, Hanna GB. A Complete Pipeline for Untargeted Urinary Volatolomic Profiling with Sorptive Extraction and Dual Polar and Nonpolar Column Methodologies Coupled with Gas Chromatography Time-of-Flight Mass Spectrometry. Anal Chem 2023; 95:758-765. [PMID: 36602225 PMCID: PMC9850407 DOI: 10.1021/acs.analchem.2c02873] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Volatolomics offers an opportunity for noninvasive detection and monitoring of human disease. While gas chromatography-mass spectrometry (GC-MS) remains the technique of choice for analyzing volatile organic compounds (VOCs), barriers to wider adoption in clinical practice still exist, including: sample preparation and introduction techniques, VOC extraction, throughput, volatolome coverage, biological interpretation, and quality control (QC). Therefore, we developed a complete pipeline for untargeted urinary volatolomic profiling. We optimized a novel extraction technique using HiSorb sorptive extraction, which exhibited high analytical performance and throughput. We achieved a broader VOC coverage by using HiSorb coupled with a set of complementary chromatographic methods and time-of-flight mass spectrometry. Furthermore, we developed a data preprocessing strategy by evaluating internal standard normalization, batch correction, and we adopted strict QC measures including removal of nonlinearly responding, irreproducible, or contaminated metabolic features, ensuring the acquisition of high-quality data. The applicability of this pipeline was evaluated in a clinical cohort consisting of pancreatic ductal adenocarcinoma (PDAC) patients (n = 28) and controls (n = 33), identifying four urinary candidate biomarkers (2-pentanone, hexanal, 3-hexanone, and p-cymene), which can successfully discriminate the cancer and noncancer subjects. This study presents an optimized, high-throughput, and quality-controlled pipeline for untargeted urinary volatolomic profiling. Use of the pipeline to discriminate PDAC from control subjects provides proof of principal of its clinical utility and potential for application in future biomarker discovery studies.
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Affiliation(s)
- Qing Wen
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Antonis Myridakis
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Piers R. Boshier
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Simone Zuffa
- Department
of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, United Kingdom
| | - Ilaria Belluomo
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Aaron G. Parker
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Sung-Tong Chin
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Stephanie Hakim
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom
| | - Sheraz R. Markar
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom,Nuffield
Department of Surgical Sciences, University
of Oxford, Oxford OX3 9DU, United Kingdom
| | - George B. Hanna
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United Kingdom,
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22
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Teränen V, Nissinen S, Roine A, Antila A, Siiki A, Vaalavuo Y, Kumpulainen P, Oksala N, Laukkarinen J. Bile-volatile organic compounds in the diagnostics of pancreatic cancer and biliary obstruction: A prospective proof-of-concept study. Front Oncol 2022; 12:918539. [PMID: 36479080 PMCID: PMC9720309 DOI: 10.3389/fonc.2022.918539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 10/31/2022] [Indexed: 08/30/2023] Open
Abstract
OBJECTIVES Detection of volatile organic compounds (VOCs) from bodily fluids with field asymmetric waveform ion mobility spectrometry (FAIMS) and related methods has been studied in various settings. Preliminary results suggest that it is possible to detect prostate, colorectal, ovarian and pancreatic cancer from urine samples. In this study, our primary aim was to differentiate pancreatic cancer from pancreatitis and benign tumours of the pancreas by using bile samples obtained during endoscopic retrograde cholangiopancreatography (ERCP). Secondarily, we aimed to differentiate all pancreatic region malignancies from all other kinds of benign causes of biliary obstruction. METHODS A bile sample was successfully aspirated from 94 patients during ERCP in Tampere University Hospital. Hospital and patient records were prospectively followed up for at least two years after ERCP. Bile samples were analysed using a Lonestar chemical analyser (Owlstone, UK) using an ATLAS sampling system and a split-flow box. Diagnoses and corresponding data from the analyses were matched and divided into two subcategories for comparison. Statistical analysis was performed using linear discriminant analysis, support vector machines, and 5-fold cross-validation. RESULTS Pancreatic cancers (n=8) were differentiated from benign pancreatic lesions (n=9) with a sensitivity of 100%, specificity of 77.8%, and correct rate of 88%. All pancreatic region cancers (n=19) were differentiated from all other kinds of benign causes of biliary obstruction (n=75) with corresponding values of 21.1%, 94.7%, and 80.7%. The sample size was too small to try to differentiate pancreatic cancers from adjacent cancers. CONCLUSION Analysing bile VOCs using FAIMS shows promising capability in detecting pancreatic cancer and other cancers in the pancreatic area.
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Affiliation(s)
- Ville Teränen
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Samuli Nissinen
- Department of Internal Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Antti Roine
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Anne Antila
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital, Tampere, Finland
| | - Antti Siiki
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital, Tampere, Finland
| | - Yrjö Vaalavuo
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital, Tampere, Finland
| | - Pekka Kumpulainen
- Department of Internal Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Niku Oksala
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Johanna Laukkarinen
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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23
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CUI S, QIN J, LIU W. Ultrafine Pt-doped SnO2 mesopore nanofibers-based gas sensor for enhanced acetone sensing. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1016/j.cjac.2022.100188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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24
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Einoch Amor R, Zinger A, Broza YY, Schroeder A, Haick H. Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers. Adv Healthc Mater 2022; 11:e2200356. [PMID: 35765713 DOI: 10.1002/adhm.202200356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/24/2022] [Indexed: 01/27/2023]
Abstract
Cancer is usually not symptomatic in its early stages. However, early detection can vastly improve prognosis. Liquid biopsy holds great promise for early detection, although it still suffers from many disadvantages, mainly searching for specific cancer biomarkers. Here, a new approach for liquid biopsies is proposed, based on volatile organic compound (VOC) patterns in the blood headspace. An artificial intelligence nanoarray based on a varied set of chemi-sensitive nano-based structured films is developed and used to detect and stage cancer. As a proof-of-concept, three cancer models are tested showing high incidence and mortality rates in the population: breast cancer, ovarian cancer, and pancreatic cancer. The nanoarray has >84% accuracy, >81% sensitivity, and >80% specificity for early detection and >97% accuracy, 100% sensitivity, and >88% specificity for metastasis detection. Complementary mass spectrometry analysis validates these results. The ability to analyze such a complex biological fluid as blood, while considering data of many VOCs at a time using the artificially intelligent nanoarray, increases the sensitivity of predictive models and leads to a potential efficient early diagnosis and disease-monitoring tool for cancer.
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Affiliation(s)
- Reef Einoch Amor
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Assaf Zinger
- Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Avi Schroeder
- Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
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25
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Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers. Cancers (Basel) 2022; 14:cancers14163982. [PMID: 36010975 PMCID: PMC9406416 DOI: 10.3390/cancers14163982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/09/2022] [Accepted: 08/16/2022] [Indexed: 12/20/2022] Open
Abstract
Simple Summary The lack of highly specific and sensitive biomarkers for the early detection of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a non-invasive, simple, inexpensive, and easy-to-use approach for cancer screening, characterization of disease progression, and follow-up of the treatment’s success. We provide a brief overview of the potential of volatile organic metabolites (VOMs) for the establishment of PCa biomarkers from non-invasive matrices. Endogenous VOMs have been investigated as potential biomarkers since changes in these VOMs can be characteristic of specific disease processes. Recent studies have shown that the conjugation of the prostate-specific antigen (PSA) screening with other methodologies, such as risk calculators, biomarkers, and imaging tests, can attenuate overdiagnosis and under-detection issues. This means that the combination of volatilomics with other methodologies could be extremely valuable for the differentiation of clinical phenotypes in a group of patients, providing more personalized treatments. Abstract Despite the spectacular advances in molecular medicine, including genomics, proteomics, transcriptomics, lipidomics, and personalized medicine, supported by the discovery of the human genome, prostate cancer (PCa) remains the most frequent malignant tumor and a leading cause of oncological death in men. New methods for prognostic, diagnostic, and therapy evaluation are mainly based on the combination of imaging techniques with other methodologies, such as gene or protein profiling, aimed at improving PCa management and surveillance. However, the lack of highly specific and sensitive biomarkers for its early detection is a major hurdle to this goal. Apart from classical biomarkers, the study of endogenous volatile organic metabolites (VOMs) biosynthesized by different metabolic pathways and found in several biofluids is emerging as an innovative, efficient, accessible, and non-invasive approach to establish the volatilomic biosignature of PCa patients, unravelling potential biomarkers. This review provides a brief overview of the challenges of PCa screening methods and emergent biomarkers. We also focus on the potential of volatilomics for the establishment of PCa biomarkers from non-invasive matrices.
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26
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Identification of volatile organic compounds in muscle tissues of different species based on Headspace-Gas-Chromatography Ion-Mobility Spectrometry. Leg Med (Tokyo) 2022; 59:102132. [DOI: 10.1016/j.legalmed.2022.102132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/30/2022] [Accepted: 08/03/2022] [Indexed: 11/23/2022]
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27
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Garzarelli V, Ferrara F, Primiceri E, Chiriacò MS. Biofluids manipulation methods for liquid biopsy in minimally-invasive assays. MethodsX 2022; 9:101759. [PMID: 35774416 PMCID: PMC9237943 DOI: 10.1016/j.mex.2022.101759] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 06/10/2022] [Indexed: 12/05/2022] Open
Abstract
The Liquid Biopsy (LB) is an opportunity for non-invasive diagnosis and prognosis of various diseases. To date, it isn't possible to consider that tissue biopsy can represent a pathology entirety. Then, body fluids are rich in a large number and variety of biomarkers and they can provide information about several diseases.Recently, other biological fluids, easy to be collected are rising for their significant content of biomarkers and for the possibility to collect and manipulate them without the intervention of medical staff. The management of biological fluids requires suitable storage methods. Temperature, storage time and physical stresses due to sample handling can lead to chemical and physical changes that may induce sample degradation and incorrect analysis. The reliability of a diagnostic or screening test depends on its sensitivity and specificity. As the liquid biopsy is a 'snapshot' of a pathophysiological condition, it is crucial that its components do not degrade due to the improper handling of the body fluid. In this review, some handling methods of Saliva, Urine, Stool, Seminal Fluid, Tears and Sweat samples will be described, as well as protocols to facilitate the analysis of metabolites, nucleic acids, proteins and Extracellular Vesicles (EVs) from those unusual body fluids.
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Affiliation(s)
- Valeria Garzarelli
- University of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy.,CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
| | - Francesco Ferrara
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy.,STMicroelectronics s.r.l., via per Monteroni, 73100, Lecce, Italy
| | - Elisabetta Primiceri
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
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28
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Yang H, Mou Y, Hu B. Diagnostic Ability of Volatile Organic Compounds in Digestive Cancer: A Systematic Review With Meta-Analysis. Clin Med Insights Oncol 2022; 16:11795549221105027. [PMID: 35754925 PMCID: PMC9218909 DOI: 10.1177/11795549221105027] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/16/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Volatile organic compounds (VOCs) have been involved in cancer diagnosis via breath, urine, and feces. We aimed to assess the diagnostic ability of VOCs on digestive cancers. Methods: We systematically reviewed prospective clinical trials evaluating VOCs’ diagnostic ability on esophageal, gastric, colorectal, hepatic, and pancreatic cancer (PC). Databases including PubMed and Ovid-Medline were searched. Results: A total of 35 trials with 5314 patient-times qualified for inclusion. The pooled sensitivity of VOCs diagnosing gastroesophageal cancer from healthy controls is 0.89 (95% confidence interval [CI]: 0.82-0.94), the pooled specificity is 0.890 (95% CI: 0.84-0.93), and area under the curve (AUC) of the summary receiver operating characteristic curve is 0.95 (95% CI: 0.93-0.95). The pooled sensitivity of VOCs diagnosing colorectal cancer from heathy controls is 0.92 (95% CI: 0.85-0.96), the pooled specificity is 0.88 (95% CI: 0.77-0.94), and the AUC is 0.96 (95% CI: 0.94-0.97). The pooled sensitivity of VOCs distinguishing gastrointestinal (GI) cancer from precancerous lesions is 0.84 (95% CI: 0.67-0.92), the pooled specificity is 0.74 (95% CI: 0.43-0.91), and the AUC is 0.87 (95% CI: 0.84-0.89). The pooled sensitivity of VOCs diagnosing hepatocellular carcinoma is 0.68 (95% CI: 0.52-0.81), the pooled specificity is 0.81 (95% CI: 0.47-0.96), and the AUC is 0.78 (95% CI: 0.74-0.81). The pooled sensitivity of VOCs diagnosing PC is 0.88 (95% CI: 0.80-0.93), the pooled specificity is 0.82 (95% CI: 0.62-0.93), and the AUC is 0.92 (95% CI: 0.89-0.94). Conclusions: Volatile organic compounds have potential role in diagnosing GI cancer with comparatively high sensitivity, specificity, and AUC (PROSPERO registration number: CRD42021260039).
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Affiliation(s)
- Hang Yang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Mou
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - Bing Hu
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
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29
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Zhang X, Gui X, Zhang Y, Liu Q, Zhao L, Gao J, Ji J, Zhang Y. A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer. Front Oncol 2022; 12:858639. [PMID: 35433420 PMCID: PMC9006947 DOI: 10.3389/fonc.2022.858639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
As no reliable diagnostic methods are available, gallbladder cancer (GBC) is often diagnosed until advanced stages, resulting in a poor prognosis. In the present study, we assessed whether volatile organic compounds (VOCs) could be used as a diagnostic tool for GBC. The VOCs in bile samples collected from 32 GBC patients were detected by gas chromatography-ion mobility spectrometry (GC-IMS), and 54 patients with benign gallbladder diseases (BGD) were used as controls. Both principal component analysis and unsupervised hierarchical clustering analysis gave a clear separation of GBC and BGD based on the bile VOC data collected from GC-IMS. A total of 12 differentially expressed VOCs were identified, including four upregulated (cyclohexanone, 2-ethyl-1-hexanol, acetophenone, and methyl benzoate) and eight downregulated [methyl acetate, (E)-hept-2-enal, hexanal, (E)-2-hexenal, (E)-2-pentenal, pentan-1-ol, 1-octen-3-one, and (E)-2-octenal] in GBC compared with BGD. ROC analysis demonstrated a 12-VOC panel con-structed by four machine learning algorithms, which was superior to the traditional tumor marker, CA19-9. Among them, support vector machines and linear discriminant analysis provided the highest AUCs of 0.972, with a sensitivity of 100% and a specificity of 94.4% in the diagnosis of GBC. Collectively, VOCs might be used as a potential tool for the diagnosis of GBC.
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Affiliation(s)
- Xin Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong University, Jinan, China
| | - Xinru Gui
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong University, Jinan, China
| | - Yanli Zhang
- Department of Clinical Laboratory, Shandong Provincial Third Hospital, Jinan, China
| | - Qi Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong University, Jinan, China
| | - Liqiang Zhao
- Department of Research and Development, Hanon Advanced Technology Group Co., Ltd, Jinan, China
| | - Jingxian Gao
- Department of Research and Development, Hanon Advanced Technology Group Co., Ltd, Jinan, China
| | - Jian Ji
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong University, Jinan, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong University, Jinan, China
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Nematode-Applied Technology for Human Tumor Microenvironment Research and Development. Curr Issues Mol Biol 2022; 44:988-997. [PMID: 35723350 PMCID: PMC8929040 DOI: 10.3390/cimb44020065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/14/2022] [Accepted: 02/17/2022] [Indexed: 11/17/2022] Open
Abstract
Nematodes, such as Caenorhabditis elegans, have been instrumental to the study of cancer. Recently, their significance as powerful cancer biodiagnostic tools has emerged, but also for mechanism analysis and drug discovery. It is expected that nematode-applied technology will facilitate research and development on the human tumor microenvironment. In the history of cancer research, which has been spurred by numerous discoveries since the last century, nematodes have been important model organisms for the discovery of cancer microenvironment. First, microRNAs (miRNAs), which are noncoding small RNAs that exert various functions to control cell differentiation, were first discovered in C. elegans and have been actively incorporated into cancer research, especially in the study of cancer genome defects. Second, the excellent sense of smell of nematodes has been applied to the diagnosis of diseases, especially refractory tumors, such as human pancreatic cancer, by sensing complex volatile compounds derived from heterogeneous cancer microenvironment, which are difficult to analyze using ordinary analytical methods. Third, a nematode model system can help evaluate invadosomes, the phenomenon of cell invasion by direct observation, which has provided a new direction for cancer research by contributing to the elucidation of complex cell–cell communications. In this cutting-edge review, we highlight milestones in cancer research history and, from a unique viewpoint, focus on recent information on the contributions of nematodes in cancer research towards precision medicine in humans.
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Vellan CJ, Jayapalan JJ, Yoong BK, Abdul-Aziz A, Mat-Junit S, Subramanian P. Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review. Int J Mol Sci 2022; 23:2093. [PMID: 35216204 PMCID: PMC8879036 DOI: 10.3390/ijms23042093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/07/2022] [Accepted: 01/09/2022] [Indexed: 12/12/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignancy with a poor prognosis is usually detected at the advanced stage of the disease. The only US Food and Drug Administration-approved biomarker that is available for PDAC, CA 19-9, is most useful in monitoring treatment response among PDAC patients rather than for early detection. Moreover, when CA 19-9 is solely used for diagnostic purposes, it has only a recorded sensitivity of 79% and specificity of 82% in symptomatic individuals. Therefore, there is an urgent need to identify reliable biomarkers for diagnosis (specifically for the early diagnosis), ascertain prognosis as well as to monitor treatment response and tumour recurrence of PDAC. In recent years, proteomic technologies are growing exponentially at an accelerated rate for a wide range of applications in cancer research. In this review, we discussed the current status of biomarker research for PDAC using various proteomic technologies. This review will explore the potential perspective for understanding and identifying the unique alterations in protein expressions that could prove beneficial in discovering new robust biomarkers to detect PDAC at an early stage, ascertain prognosis of patients with the disease in addition to monitoring treatment response and tumour recurrence of patients.
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Affiliation(s)
- Christina Jane Vellan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Jaime Jacqueline Jayapalan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
- University of Malaya Centre for Proteomics Research (UMCPR), Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Boon-Koon Yoong
- Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia;
| | - Azlina Abdul-Aziz
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Sarni Mat-Junit
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Perumal Subramanian
- Department of Biochemistry and Biotechnology, Annamalai University, Chidambaram 608002, Tamil Nadu, India;
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32
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Nissinen SI, Venäläinen M, Kumpulainen P, Roine A, Häkkinen MR, Vepsäläinen J, Oksala N, Rantanen T. Discrimination between Pancreatic Cancer, Pancreatitis and Healthy Controls Using Urinary Polyamine Panel. Cancer Control 2022; 28:10732748211039762. [PMID: 35135363 PMCID: PMC8832577 DOI: 10.1177/10732748211039762] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKROUND Polyamines play an important role in cellular proliferation, and the change in polyamine metabolism is reported in various cancers. We searched for urinary polyamine signature for distinguishing between pancreatic cancer, premalignant lesions of the pancreas (PLP), acute and chronic pancreatitis, and controls. METHODS Patients and controls were prospectively recruited in three Finnish hospitals between October 2013 and June 2016. The patients provided a urine sample at the time of the diagnosis. The panel of 14 polyamines was obtained in a single run with mass spectrometry. The polyamine concentrations were analysed with quadratic discriminant analysis and cross-validated with leave-one-out cross-validation. RESULTS Sixty-eight patients with pancreatic cancer, 36 with acute pancreatitis, 18 with chronic pancreatitis and 7 with PLP were recruited, as were 53 controls. The combination of 4 polyamines - acetylputrescine, diacetylspermidine, N8-acetylspermidine and diacetylputrescine - distinguished pancreatic cancer and PLP from controls (sensitivity = 94%, specificity = 68% and AUC = 0.88). The combination of diacetylspermidine, N8-acetylspermidine and diacetylspermine distinguished acute pancreatitis from controls (sensitivity = 94%, specificity = 92%, AUC = 0.98). The combination of acetylputrescine, diacetylspermidine and diacetylputrescine distinguished chronic pancreatitis from controls (sensitivity = 98%, specificity = 71%, AUC = 0.93). CONCLUSIONS Optimally selected urinary polyamine panels discriminate between pancreatic cancer and controls, as well as between acute and chronic pancreatitis and controls.
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Affiliation(s)
- Samuli I Nissinen
- Department of Internal Medicine, School of Medicine, 205537University of Eastern Finland, Kuopio, Finland.,Department of Internal Medicine, 3701Kanta-Häme Central Hospital, Hämeenlinna, Finland
| | - Markus Venäläinen
- Department of Internal Medicine, School of Medicine, 205537University of Eastern Finland, Kuopio, Finland
| | | | - Antti Roine
- Faculty of Medicine and Health Technology, 7840Tampere University, Tampere, Finland
| | - Merja R Häkkinen
- School of Pharmacy, Biocenter Kuopio, 205537University of Eastern Finland, Kuopio, Finland
| | - Jouko Vepsäläinen
- School of Pharmacy, Biocenter Kuopio, 205537University of Eastern Finland, Kuopio, Finland
| | - Niku Oksala
- Faculty of Medicine and Health Technology, 7840Tampere University, Tampere, Finland.,Centre for Vascular Surgery and Interventional Radiology, 60670Tampere University Hospital, Tampere, Finland
| | - Tuomo Rantanen
- Department of Surgery, School of Medicine, 205537University of Eastern Finland, Kuopio, Finland
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Volatile organic compounds as a potential screening tool for neoplasm of the digestive system: a meta-analysis. Sci Rep 2021; 11:23716. [PMID: 34887450 PMCID: PMC8660806 DOI: 10.1038/s41598-021-02906-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/24/2021] [Indexed: 02/02/2023] Open
Abstract
This meta-analysis was aimed to estimate the diagnostic performance of volatile organic compounds (VOCs) as a potential novel tool to screen for the neoplasm of the digestive system. An integrated literature search was performed by two independent investigators to identify all relevant studies investigating VOCs in diagnosing neoplasm of the digestive system from inception to 7th December 2020. STATA and Revman software were used for data analysis. The methodological quality of each study was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A bivariate mixed model was used and meta-regression and subgroup analysis were performed to identify possible sources of heterogeneity. A total of 36 studies comprised of 1712 cases of neoplasm and 3215 controls were included in our meta-analysis. Bivariate analysis showed a pooled sensitivity of 0.87 (95% confidence interval (CI) 0.83–0.90), specificity of 0.86 (95% CI 0.82–0.89), a positive likelihood ratio of 6.18 (95% CI 4.68–8.17), and a negative likelihood ratio of 0.15 (95% CI 0.12–0.20). The diagnostic odds ratio and the area under the summary ROC curve for diagnosing neoplasm of the digestive system were 40.61 (95% CI 24.77–66.57) and 0.93 (95% CI 0.90–0.95), respectively. Our analyses revealed that VOCs analysis could be considered as a potential novel tool to screen for malignant diseases of the digestive system.
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Ge P, Luo Y, Chen H, Liu J, Guo H, Xu C, Qu J, Zhang G, Chen H. Application of Mass Spectrometry in Pancreatic Cancer Translational Research. Front Oncol 2021; 11:667427. [PMID: 34707986 PMCID: PMC8544753 DOI: 10.3389/fonc.2021.667427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 05/31/2021] [Indexed: 12/15/2022] Open
Abstract
Pancreatic cancer (PC) is one of the most common malignant tumors in the digestive tract worldwide, with increased morbidity and mortality. In recent years, with the development of surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy, and the change of the medical thinking model, remarkable progress has been made in researching comprehensive diagnosis and treatment of PC. However, the present situation of diagnostic and treatment of PC is still unsatisfactory. There is an urgent need for academia to fully integrate the basic research and clinical data from PC to form a research model conducive to clinical translation and promote the proper treatment of PC. This paper summarized the translation progress of mass spectrometry (MS) in the pathogenesis, diagnosis, prognosis, and PC treatment to promote the basic research results of PC into clinical diagnosis and treatment.
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Affiliation(s)
- Peng Ge
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yalan Luo
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
| | - Haiyang Chen
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jiayue Liu
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Haoya Guo
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Caiming Xu
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jialin Qu
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Guixin Zhang
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
| | - Hailong Chen
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
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Naseri N, Kharrazi S, Abdi K, Alizadeh R. Fabrication of an SPME fiber based on ZnO@GA nanorods coated onto fused silica as a highly efficient absorbent for the analysis of cancer VOCs in water and urine. Anal Chim Acta 2021; 1183:338983. [PMID: 34627504 DOI: 10.1016/j.aca.2021.338983] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/09/2021] [Accepted: 08/22/2021] [Indexed: 01/26/2023]
Abstract
Analysis of volatile organic compounds (VOCs) secreted in urine, blood, breath, etc. is a new method for monitoring the metabolism and biochemistry of the human body. However, due to the complexity of samples, a pre-concentration step is necessary before the final analysis with gas chromatography-mass spectroscopy (GC-MS). Therefore, miniaturized extraction methods such as solid-phase microextraction (SPME) can be a promising and simple pre-concentration technique. Different strategies have been adopted for the fabrication or modification of SPME fibers. This study presents the preparation and characterization of glass optical fibers coated with ZnO nanorods functionalized with gallic acid (ZnO@GA nanorod) as SPME adsorbent in GC-MS. ZnO@GA nanorods were synthesized separately and then coated onto the fibers. The coated fibers were characterized by using field emission scanning electron microscopy coupled with energy dispersive analysis of X-rays (FESEM/EDAX) and Fourier transform infrared spectroscopy (FTIR) techniques. Possessing a high surface to volume ratio of ZnO nanorods and functional groups of GA, the ZnO@GA nanorod-based SPME fibers exhibited good extraction performance for VOCs comparing with the commercial polydimethylsiloxane (PDMS) coated fibers. Under optimal conditions (NaCl concentration, 30% w/v; extraction time of 25 min; pH, 5-7 and stirring rate of 400 rpm) ZnO@GA nanorods coated fibers achieved low detection limits (0.32-4.8 μg/L), low quantification limits (1.8-16.3 μg/L) and good linearity (5-1000 μg/L) for selected VOCs. The repeatability (n = 3) for a single fiber was within the range of 4.1-7.9% (intra-day) and 5.7-9.6% (inter-day) while the reproducibility (n = 3) of fiber-to-fiber were in the range of 4.7% and 9.9%. This method was successfully used for the determination of six VOCs in water and urine with satisfactory recoveries of 90-112%. ZnO@GA nanorod coated fibers, despite possessing a much thinner coating compared to the commercial fibers, revealed a better overall extraction efficiency towards VOCs. These results indicated that the ZnO@GA provided a promising alternative in sample pretreatment and analysis in GC-MS.
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Affiliation(s)
- Neda Naseri
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine (SATiM), Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Sharmin Kharrazi
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine (SATiM), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
| | - Khosrou Abdi
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran.
| | - Reza Alizadeh
- Department of Chemistry, Faculty of Science, Qom University, Qom, Iran
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Ferrara F, Zoupanou S, Primiceri E, Ali Z, Chiriacò MS. Beyond liquid biopsy: Toward non-invasive assays for distanced cancer diagnostics in pandemics. Biosens Bioelectron 2021; 196:113698. [PMID: 34688113 PMCID: PMC8527216 DOI: 10.1016/j.bios.2021.113698] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/01/2021] [Accepted: 10/07/2021] [Indexed: 12/11/2022]
Abstract
Liquid biopsy technologies have seen a significant improvement in the last decade, offering the possibility of reliable analysis and diagnosis from several biological fluids. The use of these technologies can overcome the limits of standard clinical methods, related to invasiveness and poor patient compliance. Along with this there are now mature examples of lab-on-chips (LOC) which are available and could be an emerging and breakthrough technology for the present and near-future clinical demands that provide sample treatment, reagent addition and analysis in a sample-in/answer-out approach. The possibility of combining non-invasive liquid biopsy and LOC technologies could greatly assist in the current need for minimizing exposure and transmission risks. The recent and ongoing pandemic outbreak of SARS-CoV-2, indeed, has heavily influenced all aspects of life worldwide. Ordinary tasks have been forced to switch from “in presence” to “distanced”, limiting the possibilities for a large number of activities in all fields of life outside of the home. Unfortunately, one of the settings in which physical distancing has assumed noteworthy consequences is the screening, diagnosis and follow-up of diseases. In this review, we analyse biological fluids that are easily collected without the intervention of specialized personnel and the possibility that they may be used -or not-for innovative diagnostic assays. We consider their advantages and limitations, mainly due to stability and storage and their integration into Point-of-Care diagnostics, demonstrating that technologies in some cases are mature enough to meet current clinical needs.
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Affiliation(s)
- Francesco Ferrara
- STMicroelectronics s.r.l., via per Monteroni, 73100, Lecce, Italy; CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy.
| | - Sofia Zoupanou
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy; University of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy
| | - Elisabetta Primiceri
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
| | - Zulfiqur Ali
- University of Teesside, School of Health & Life Sciences, Healthcare Innovation Centre, Middlesbrough, TS1 3BX, Tees Valley, England, UK
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Yin J, Wu M, Lin R, Li X, Ding H, Han L, Yang W, Song X, Li W, Qu H, Yu H, Li Z. Application and development trends of gas chromatography–ion mobility spectrometry for traditional Chinese medicine, clinical, food and environmental analysis. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106527] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose. Expert Rev Mol Diagn 2021; 21:1223-1233. [PMID: 34415806 DOI: 10.1080/14737159.2021.1971079] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION This paper describes the research work done toward the development of a breath analyzing electronic nose (e-nose), and the results obtained from testing patients with lung cancer, patients with chronic obstructive pulmonary disease (COPD), and healthy controls. Pulmonary diseases like COPD and lung cancer are detected with MOS sensor array-based e-noses. The e-nose device with the sensor array, data acquisition system, and pattern recognition can detect the variations of volatile organic compounds (VOC) present in the expelled breath of patients and healthy controls. MATERIALS AND METHODS This work presents the e-nose equipment design, study subjects selection, breath sampling procedures, and various data analysis tools. The developed e-nose system is tested in 40 patients with lung cancer, 48 patients with COPD, and 90 healthy controls. RESULTS In differentiating lung cancer and COPD from controls, support vector machine (SVM) with 3-fold cross-validation outperformed all other classifiers with an accuracy of 92.3% in cross-validation. In external validation, the same discrimination was achieved by k-nearest neighbors (k-NN) with 75.0% accuracy. CONCLUSION The reported results show that the VOC analysis with an e-nose system holds exceptional possibilities in noninvasive disease diagnosis applications.
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Asai A, Konno M, Ozaki M, Kawamoto K, Chijimatsu R, Kondo N, Hirotsu T, Ishii H. Scent test using Caenorhabditis elegans to screen for early-stage pancreatic cancer. Oncotarget 2021; 12:1687-1696. [PMID: 34434497 PMCID: PMC8378769 DOI: 10.18632/oncotarget.28035] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/13/2021] [Indexed: 12/12/2022] Open
Abstract
Although early detection and diagnosis are indispensable for improving the prognosis of patients with pancreatic cancer, both have yet to be achieved. Except for pancreatic cancer, other cancers have already been screened through scent tests using animals or microorganisms, including Caenorhabditis elegans. While such a method may greatly improve the prognosis of pancreatic cancer, no studies have investigated the same, mainly given the difficulty of collecting suitable samples from patients with early-stage pancreatic cancer. In this study, we organized a nationwide study group comprising high-volume centers throughout Japan to collect patients with very-early-stage pancreatic cancer (stage 0 or IA). We initially performed an open-label study involving 83 cases (stage 0–IV), with subsequent results showing significant differences after surgical removal in stage 0–IA (×10 dilution: p < 0.001; ×100 dilution: p < 0.001). Thereafter, a blinded study on 28 cases (11 patients with stage 0 or IA disease and 17 healthy volunteers) was conducted by comparing very-early-stage pancreatic cancer patients with healthy volunteers to determine whether C. elegans could detect the scent of cancer for the diagnosis of early-stage pancreatic cancer. Preoperative urine samples had a significantly higher chemotaxis index compared to postoperative samples in patients with pancreatic cancer [×10 dilution: p < 0.001, area under the receiver operating characteristic curve (AUC) = 0.845; ×100 dilution: p < 0.001, AUC = 0.820] and healthy volunteers (×10 dilution: p = 0.034; ×100 dilution: p = 0.088). Moreover, using the changes in preoperative and postoperative chemotaxis index, this method had a higher sensitivity for detecting early pancreatic cancer compared to existing diagnostic markers. The clinical application C. elegans for the early diagnosis of cancer can certainly be expected in the near future.
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Affiliation(s)
- Ayumu Asai
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Artificial Intelligence Research Center, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan
| | - Masamitsu Konno
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Present address: Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan
| | - Miyuki Ozaki
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Koichi Kawamoto
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Present address: Kinnki Regional Bureau of Health and Welfare, Osaka, Japan
| | - Ryota Chijimatsu
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Nobuaki Kondo
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Hirotsu Bio Science Inc., Chiyoda-Ku, Tokyo 102-0094, Japan
| | - Takaaki Hirotsu
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Hirotsu Bio Science Inc., Chiyoda-Ku, Tokyo 102-0094, Japan
| | - Hideshi Ishii
- Center of Medical Innovation and Translational Research (CoMIT), Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
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Yang J, Xu R, Wang C, Qiu J, Ren B, You L. Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review. Cancer Commun (Lond) 2021; 41:1257-1274. [PMID: 34331845 PMCID: PMC8696234 DOI: 10.1002/cac2.12204] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/15/2021] [Accepted: 07/26/2021] [Indexed: 12/14/2022] Open
Abstract
Pancreatic cancer is a highly malignant digestive system tumor with a poor prognosis. Most pancreatic cancer patients are diagnosed at an advanced stage or even metastasis due to its highly aggressive characteristics and lack of typical early symptoms. Thus, an early diagnosis of pancreatic cancer is crucial for improving its prognosis. Currently, screening is often applied in high‐risk individuals to achieve the early diagnosis of pancreatic cancer. Fully understanding the risk factors of pancreatic cancer and pathogenesis could help us identify the high‐risk population and achieve early diagnosis and timely treatment of pancreatic cancer. Notably, accumulating studies have been undertaken to improve the detection rate of different imaging methods and the diagnostic accuracy of endoscopic ultrasound‐guided fine‐needle aspiration (EUS‐FNA) which is the golden standard for pancreatic cancer diagnosis. In addition, there are currently no biomarkers with sufficient sensitivity and specificity for the diagnosis of pancreatic cancer to be applied in the clinic. As the only serum biomarker approved by the United States Food and Drug Administration, carbohydrate antigen 19‐9 (CA19‐9) is not recommended to be used in the early screening of pancreatic cancer because of its limited specificity. Recently, increasing numbers of studies focused on the discovering of novel serum biomarkers and exploring their combination with CA19‐9 in the detection of pancreatic cancer. Besides, the application of liquid biopsy involving circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), microRNAs (miRNAs), and exosomes in blood and biomarkers in urine, and saliva in pancreatic cancer diagnosis are drawing more and more attention. Furthermore, many innovative technologies such as artificial intelligence, computer‐aided diagnosis system, metabolomics technology, ion mobility spectrometry (IMS) associated technologies, and novel nanomaterials have been tested for the early diagnosis of pancreatic cancer and have shown promising prospects. Hence, this review aims to summarize the recent progress in the development of early screening and diagnostic methods, including imaging, pathological examination, serological examination, liquid biopsy, as well as other potential diagnostic strategies for pancreatic cancer.
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Affiliation(s)
- Jinshou Yang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - Ruiyuan Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - Chengcheng Wang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - Jiangdong Qiu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - Bo Ren
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - Lei You
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
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Bannaga AS, Tyagi H, Daulton E, Covington JA, Arasaradnam RP. Exploratory Study Using Urinary Volatile Organic Compounds for the Detection of Hepatocellular Carcinoma. Molecules 2021; 26:2447. [PMID: 33922256 PMCID: PMC8122735 DOI: 10.3390/molecules26092447] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/17/2021] [Accepted: 04/20/2021] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) biomarkers are lacking in clinical practice. We therefore explored the pattern and composition of urinary volatile organic compounds (VOCs) in HCC patients. This was done in order to assess the feasibility of a potential non-invasive test for HCC, and to enhance our understanding of the disease. This pilot study recruited 58 participants, of whom 20 were HCC cases and 38 were non-HCC cases. The non-HCC cases included healthy individuals and patients with various stages of non-alcoholic fatty liver disease (NAFLD), including those with and without fibrosis. Urine was analysed using gas chromatography-ion mobility spectrometry (GC-IMS) and gas chromatography-time-of-flight mass spectrometry (GC-TOF-MS). GC-IMS was able to separate HCC from fibrotic cases with an area under the curve (AUC) of 0.97 (0.91-1.00), and from non-fibrotic cases with an AUC of 0.62 (0.48-0.76). For GC-TOF-MS, a subset of samples was analysed in which seven chemicals were identified and tentatively linked with HCC. These include 4-methyl-2,4-bis(p-hydroxyphenyl)pent-1-ene (2TMS derivative), 2-butanone, 2-hexanone, benzene, 1-ethyl-2-methyl-, 3-butene-1,2-diol, 1-(2-furanyl)-, bicyclo(4.1.0)heptane, 3,7,7-trimethyl-, [1S-(1a,3β,6a)]-, and sulpiride. Urinary VOC analysis using both GC-IMS and GC-TOF-MS proved to be a feasible method of identifying HCC cases, and was also able to enhance our understanding of HCC pathogenesis.
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Affiliation(s)
- Ayman S. Bannaga
- Department of Gastroenterology and Hepatology, University Hospital, Coventry CV2 2DX, UK;
- Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK
| | - Heena Tyagi
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; (H.T.); (E.D.); (J.A.C.)
| | - Emma Daulton
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; (H.T.); (E.D.); (J.A.C.)
| | - James A. Covington
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; (H.T.); (E.D.); (J.A.C.)
| | - Ramesh P. Arasaradnam
- Department of Gastroenterology and Hepatology, University Hospital, Coventry CV2 2DX, UK;
- Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK
- Faculty of Health & Life Sciences, Coventry University, Coventry CV1 5FB, UK
- Leicester Cancer Research Centre, University of Leicester, Leicester LE1 7RH, UK
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