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Saeki Y, Maki N, Nemoto T, Inada K, Minami K, Tamura R, Imamura G, Cho-Isoda Y, Kitazawa S, Kojima H, Yoshikawa G, Sato Y. Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array. Lung Cancer 2024; 190:107514. [PMID: 38447302 DOI: 10.1016/j.lungcan.2024.107514] [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: 10/24/2023] [Revised: 02/12/2024] [Accepted: 02/24/2024] [Indexed: 03/08/2024]
Abstract
INTRODUCTION Breath analysis using a chemical sensor array combined with machine learning algorithms may be applicable for detecting and screening lung cancer. In this study, we examined whether perioperative breath analysis can predict the presence of lung cancer using a Membrane-type Surface stress Sensor (MSS) array and machine learning. METHODS Patients who underwent lung cancer surgery at an academic medical center, Japan, between November 2018 and November 2019 were included. Exhaled breaths were collected just before surgery and about one month after surgery, and analyzed using an MSS array. The array had 12 channels with various receptor materials and provided 12 waveforms from a single exhaled breath sample. Boxplots of the perioperative changes in the expiratory waveforms of each channel were generated and Mann-Whitney U test were performed. An optimal lung cancer prediction model was created and validated using machine learning. RESULTS Sixty-six patients were enrolled of whom 57 were included in the analysis. Through the comprehensive analysis of the entire dataset, a prototype model for predicting lung cancer was created from the combination of array five channels. The optimal accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 0.809, 0.830, 0.807, 0.806, and 0.812, respectively. CONCLUSION Breath analysis with MSS and machine learning with careful control of both samples and measurement conditions provided a lung cancer prediction model, demonstrating its capacity for non-invasive screening of lung cancer.
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Affiliation(s)
- Yusuke Saeki
- Department of Thoracic Surgery, University of Tsukuba, Ibaraki, Japan
| | - Naoki Maki
- Department of Thoracic Surgery, University of Tsukuba, Ibaraki, Japan
| | - Takahiro Nemoto
- Center for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), Ibaraki, Japan; Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Ibaraki, Japan
| | - Katsushige Inada
- Department of Medical Oncology, Ibaraki Prefectural Central Hospital, Ibaraki, Japan
| | - Kosuke Minami
- Center for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), Ibaraki, Japan; Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Ibaraki, Japan; International Center for Young Scientists (ICYS), National Institute for Materials Science (NIMS), Ibaraki, Japan
| | - Ryo Tamura
- World Premier International (WPI) Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Ibaraki, Japan; Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan; Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Ibaraki, Japan; Center for Basic Research on Materials, National Institute for Materials Science (NIMS), Ibaraki, Japan
| | - Gaku Imamura
- Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Ibaraki, Japan; World Premier International (WPI) Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Ibaraki, Japan; Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
| | - Yukiko Cho-Isoda
- Department of Medical Oncology, Ibaraki Prefectural Central Hospital, Ibaraki, Japan
| | - Shinsuke Kitazawa
- Department of Thoracic Surgery, University of Tsukuba, Ibaraki, Japan
| | - Hiroshi Kojima
- Department of Medical Oncology, Ibaraki Prefectural Central Hospital, Ibaraki, Japan; Ibaraki Clinical Education and Training Center, University of Tsukuba Hospital, Ibaraki, Japan
| | - Genki Yoshikawa
- Center for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), Ibaraki, Japan; Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Ibaraki, Japan; Materials Science and Engineering, Graduate School of Pure and Applied Science, University of Tsukuba, Ibaraki, Japan
| | - Yukio Sato
- Department of Thoracic Surgery, University of Tsukuba, Ibaraki, Japan.
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2
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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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3
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Kok R, van Schaijik B, Johnson NW, Malki MI, Frydrych A, Kujan O. Breath biopsy, a novel technology to identify head and neck squamous cell carcinoma: A systematic review. Oral Dis 2023; 29:3034-3048. [PMID: 35801385 DOI: 10.1111/odi.14305] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/22/2022] [Accepted: 07/05/2022] [Indexed: 11/27/2022]
Abstract
Head and neck cancers are a heterogeneous group of neoplasms, which together comprise the sixth most common cancer globally. Breath biopsies are a non-invasive clinical investigation that detect volatile organic compounds (VOCs) in exhaled breath. This systematic review examines current applications of breath biopsy for the diagnosis of head and neck squamous cell carcinoma (HNSCC), including data on efficacy and utility, and speculates on the future uses of this non-invasive detection method. Medline, PubMed, Web of Science, Cochrane and Scopus, as well as the grey literature were searched using a search strategy developed to identify relevant studies on the role of breath biopsy in the diagnosis of HNSCC. All included studies were subject to a thorough methodological quality assessment. The initial search generated a total of 1443 articles, 20 of which were eligible for review. A total of 660 HNSCC samples were investigated across the included studies. 3,7-dimethylundecane and benzaldehyde were among several VOCs to be significantly correlated with the presence of HNSCC compared to healthy controls. We show that current breath biopsy methods have high accuracy, specificity and sensitivity for identifying HNSCC. However, further studies are needed given the reported poor quality of the included studies.
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Affiliation(s)
- Rachel Kok
- UWA Dental School, The University of Western Australia, Perth, Western Australia, Australia
| | - Bede van Schaijik
- UWA Dental School, The University of Western Australia, Perth, Western Australia, Australia
| | - Newell W Johnson
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
- Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK
| | | | - Agnieszka Frydrych
- UWA Dental School, The University of Western Australia, Perth, Western Australia, Australia
| | - Omar Kujan
- UWA Dental School, The University of Western Australia, Perth, Western Australia, Australia
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4
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Lagopati N, Valamvanos TF, Proutsou V, Karachalios K, Pippa N, Gatou MA, Vagena IA, Cela S, Pavlatou EA, Gazouli M, Efstathopoulos E. The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis. CHEMOSENSORS 2023; 11:317. [DOI: 10.3390/chemosensors11060317] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Early-stage, precise disease diagnosis and treatment has been a crucial topic of scientific discussion since time immemorial. When these factors are combined with experience and scientific knowledge, they can benefit not only the patient, but also, by extension, the entire health system. The development of rapidly growing novel technologies allows for accurate diagnosis and treatment of disease. Nanomedicine can contribute to exhaled breath analysis (EBA) for disease diagnosis, providing nanomaterials and improving sensing performance and detection sensitivity. Through EBA, gas-based nano-sensors might be applied for the detection of various essential diseases, since some of their metabolic products are detectable and measurable in the exhaled breath. The design and development of innovative nanomaterial-based sensor devices for the detection of specific biomarkers in breath samples has emerged as a promising research field for the non-invasive accurate diagnosis of several diseases. EBA would be an inexpensive and widely available commercial tool that could also be used as a disease self-test kit. Thus, it could guide patients to the proper specialty, bypassing those expensive tests, resulting, hence, in earlier diagnosis, treatment, and thus a better quality of life. In this review, some of the most prevalent types of sensors used in breath-sample analysis are presented in parallel with the common diseases that might be diagnosed through EBA, highlighting the impact of incorporating new technological achievements in the clinical routine.
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Affiliation(s)
- Nefeli Lagopati
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Theodoros-Filippos Valamvanos
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Vaia Proutsou
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Konstantinos Karachalios
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Natassa Pippa
- Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | - Maria-Anna Gatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Ioanna-Aglaia Vagena
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Smaragda Cela
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Evangelia A. Pavlatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Maria Gazouli
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
| | - Efstathios Efstathopoulos
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
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5
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Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction. BIOSENSORS 2022; 12:bios12090762. [PMID: 36140147 PMCID: PMC9496807 DOI: 10.3390/bios12090762] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/08/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022]
Abstract
Nanomechanical sensors have gained significant attention as powerful tools for detecting, distinguishing, and identifying target analytes, especially odors that are composed of a complex mixture of gaseous molecules. Nanomechanical sensors and their arrays are a promising platform for artificial olfaction in combination with data processing technologies, including machine learning techniques. This paper reviews the background of nanomechanical sensors, especially conventional cantilever-type sensors. Then, we focus on one of the optimized structures for static mode operation, a nanomechanical Membrane-type Surface stress Sensor (MSS), and discuss recent advances in MSS and their applications towards artificial olfaction.
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6
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Marvi F, Jafari K. A label-free biomarkers detection platform relied on a bilayer long-wave infrared metamaterials BioNEMS sensor. NANOTECHNOLOGY 2022; 33:265502. [PMID: 35299159 DOI: 10.1088/1361-6528/ac5ee1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
A novel approach based on optical Biological-Nano-Electro-Mechanical-Systems (BioNEMS) sensor is presented in this paper to provide highly sensitive and precise detection of biomolecules. The proposed BioNEMS sensor is relied on a bi-layer metamaterials structure, tuned by its wavelength. The presented biosensor consists of a BioNEMS membrane coated by Complementary Split Ring Resonators and an array of Split Ring Resonators cells on the substrate. While the immobilized bioreceptors adsorb the biomarkers (i.e. mRNA or protein), it causes a bending of the suspended membrane. This is due to the differential surface stress which is induced on the Nano-Electro-Mechanical-Systems structure. As a consequence, the coupling strength of two complementary metamaterial layers and thus the electromagnetic response of the biosensor are changed. Furthermore, the proposed device is designed and analyzed by numerical and analytical approaches in order to obtain its functional characteristics as follows: detection sensitivity of 21 967 nm/RIU, figure of merit of 327.8 RIU-1", mechanical sensitivity of 2.6μm/Nm-1" and resonant frequency of 4.92 kHz. According to the obtained results, the functional characteristics of the proposed label-free biosensor show its high potential for highly sensitive and accurate molecule detections, disease diagnosis as well as drug delivery tests for Lab-On-Chip systems.
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Affiliation(s)
- Fahimeh Marvi
- Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran
| | - Kian Jafari
- Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran
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7
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Statistical Evaluation of Total Expiratory Breath Samples Collected throughout a Year: Reproducibility and Applicability toward Olfactory Sensor-Based Breath Diagnostics. SENSORS 2021; 21:s21144742. [PMID: 34300482 PMCID: PMC8309533 DOI: 10.3390/s21144742] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/05/2021] [Accepted: 07/07/2021] [Indexed: 12/22/2022]
Abstract
The endogenous volatile organic compounds (VOCs) in exhaled breath can be promising biomarkers for various diseases including cancers. An olfactory sensor has a possibility for extracting a specific feature from collective variations of the related VOCs with a certain health condition. For this approach, it is important to establish a feasible protocol for sampling exhaled breath in practical conditions to provide reproducible signal features. Here we report a robust protocol for the breath analysis, focusing on total expiratory breath measured by a Membrane-type Surface stress Sensor (MSS), which possesses practical characteristics for artificial olfactory systems. To assess its reproducibility, 83 exhaled breath samples were collected from one subject throughout more than a year. It has been confirmed that the reduction of humidity effects on the sensing signals either by controlling the humidity of purging room air or by normalizing the signal intensities leads to reasonable reproducibility verified by statistical analyses. We have also demonstrated the applicability of the protocol for detecting a target material by discriminating exhaled breaths collected from different subjects with pre- and post-alcohol ingestion on different occasions. This simple yet reproducible protocol based on the total expiratory breath measured by the MSS olfactory sensors will contribute to exploring the possibilities of clinical applications of breath diagnostics.
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8
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Konings H, Stappers S, Geens M, De Winter BY, Lamote K, van Meerbeeck JP, Specenier P, Vanderveken OM, Ledeganck KJ. A Literature Review of the Potential Diagnostic Biomarkers of Head and Neck Neoplasms. Front Oncol 2020; 10:1020. [PMID: 32670885 PMCID: PMC7332560 DOI: 10.3389/fonc.2020.01020] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 05/22/2020] [Indexed: 12/19/2022] Open
Abstract
Head and neck neoplasms have a poor prognosis because of their late diagnosis. Finding a biomarker to detect these tumors in an early phase could improve the prognosis and survival rate. This literature review provides an overview of biomarkers, covering the different -omics fields to diagnose head and neck neoplasms in the early phase. To date, not a single biomarker, nor a panel of biomarkers for the detection of head and neck tumors has been detected with clinical applicability. Limitations for the clinical implementation of the investigated biomarkers are mainly the heterogeneity of the study groups (e.g., small population in which the biomarker was tested, and/or only including high-risk populations) and a low sensitivity and/or specificity of the biomarkers under study. Further research on biomarkers to diagnose head and neck neoplasms in an early stage, is therefore needed.
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Affiliation(s)
- Heleen Konings
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sofie Stappers
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Margot Geens
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Benedicte Y De Winter
- Laboratorium of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Kevin Lamote
- Laboratorium of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Pneumology, Antwerp University Hospital, Edegem, Belgium.,Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Jan P van Meerbeeck
- Laboratorium of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Pneumology, Antwerp University Hospital, Edegem, Belgium.,Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Pol Specenier
- Department of Oncology, Antwerp University Hospital, Edegem, Belgium.,Center for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium
| | - Olivier M Vanderveken
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.,Department of Otorhinolaryngology-Head and Neck Surgery, Antwerp University Hospital, Edegem, Belgium.,Department of Translational Neurosciences, Antwerp University, Antwerp, Belgium
| | - Kristien J Ledeganck
- Laboratorium of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
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9
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Dharmawardana N, Woods C, Watson DI, Yazbeck R, Ooi EH. A review of breath analysis techniques in head and neck cancer. Oral Oncol 2020; 104:104654. [PMID: 32200303 DOI: 10.1016/j.oraloncology.2020.104654] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/13/2020] [Accepted: 03/14/2020] [Indexed: 02/01/2023]
Abstract
Cancers of the head and neck region are a severely disabling group of diseases with no method for early detection. Analysis of exhaled breath volatile organic compounds shows promise as biomarkers for early detection and disease monitoring. This article reviews breath analysis in the setting of head and neck cancer, with a practical focus on breath sampling techniques, detection technologies and valid data analysis methods. Title and abstract keyword searches were conducted on PubMed and Embase databases to identify English language studies without a time-period limitation. The main inclusion criteria were human studies comparing head and neck cancer patients to healthy controls using exhaled breath analysis. Multiple breath collection techniques, three major detection technologies and multiple data analysis methods were identified. However, the variability in techniques and lack of methodological standardization does not allow for adequate study replication or data pooling. Twenty-two volatile organic compounds identified in five studies have been reported to discriminate head and neck cancer patients from healthy controls. Breath analysis for detection of head and neck cancer shows promise as a non-invasive detection tool. However, methodological standardization is paramount for future research study design to provide the potential for translating these techniques into routine clinical use.
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Affiliation(s)
- Nuwan Dharmawardana
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia; Department of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia.
| | - Charmaine Woods
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia; Department of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia
| | - David I Watson
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
| | - Roger Yazbeck
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
| | - Eng H Ooi
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia; Department of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia
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10
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Mäkitie AA, Almangush A, Youssef O, Metsälä M, Silén S, Nixon IJ, Haigentz M, Rodrigo JP, Saba NF, Vander Poorten V, Ferlito A. Exhaled breath analysis in the diagnosis of head and neck cancer. Head Neck 2019; 42:787-793. [PMID: 31854494 DOI: 10.1002/hed.26043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 11/15/2019] [Accepted: 12/03/2019] [Indexed: 12/24/2022] Open
Abstract
Head and neck cancer (HNC) comprises a heterogeneous group of upper aerodigestive tract malignant neoplasms, the most frequent of which is squamous cell carcinoma. HNC forms the eighth most common cancer type and the incidence is increasing. However, survival has improved only moderately during the past decades. Currently, early diagnosis remains the mainstay for improving treatment outcomes in this patient population. Unfortunately, screening methods to allow early detection of HNC are not yet established. Therefore, many cases are still diagnosed at advanced stage, compromising outcomes. Exhaled breath analysis (EBA) is a diagnostic tool that has been recently introduced for many cancers. Breath analysis is non-invasive, cost-effective, time-saving, and can potentially be applied for cancer screening. Here, we provide a summary of the accumulated evidence on the feasibility of EBA in the diagnosis of HNC.
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Affiliation(s)
- Antti A Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet and Karolinska Hospital, Stockholm, Sweden
| | - Alhadi Almangush
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Pathology, University of Helsinki, Helsinki, Finland.,Institute of Biomedicine, Pathology, University of Turku, Turku, Finland.,Faculty of Dentistry, University of Misurata, Misurata, Libya
| | - Omar Youssef
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Pathology, University of Helsinki, Helsinki, Finland
| | - Markus Metsälä
- Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Suvi Silén
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Iain J Nixon
- Department of Otolaryngology, Head and Neck Surgery, NHS Lothian, Edinburgh University, Edinburgh, UK
| | - Missak Haigentz
- Division of Hematology/Oncology, Department of Medicine, Morristown Medical Center/Atlantic Health System, Morristown, New Jersey
| | - Juan P Rodrigo
- Department of Otolaryngology, Hospital Universitario Central de Asturias-University of Oviedo, ISPA, IUOPA, CIBERONC, Oviedo, Spain
| | - Nabil F Saba
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Vincent Vander Poorten
- Otorhinolaryngology-Head and Neck Surgery and Department of Oncology, Section of Head and Neck Oncology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Alfio Ferlito
- International Head and Neck Scientific Group, Padua, Italy
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11
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Zhao D, Liu Y, Pei Z, Zhang Q, Zhang Y, Zhang W, Sang S. Surface stress-induced membrane biosensor based on double-layer stable gold nanostructures for E. coli detection. IET Nanobiotechnol 2019; 13:905-910. [PMID: 31811758 DOI: 10.1049/iet-nbt.2019.0096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The surface stress-based biosensor has been applied in fast and sensitive identification of Escherichia coli (E. coli)with significance for public health, food, and water safety. However, the stable sensitive element of flexible biosensor based on surface stress is still crucial and challengeable. Here, the authors reported surface stress-induced biosensors based on double-layer stable gold nanostructures (D-AuNS-SSMB) for E. coli O157:H7 detection. Bacterial detection demonstrates the high stability of the biosensor. The resistance change of biosensor is linear to the logarithmic value of the E. coli O157:H7 concentrations ranging from 103 to 107 CFU/mL with a limit of detection (LOD) of 43 CFU/mL. The captured signals of D-AuNS-SSMB comes from surface stress generated by antigen-antibody binding. In addition, the biosensor exhibits good stability, reproducibility and specificity in detection of E. coli O157:H7 as well. This study provides a new preparation method of stable sensitive element for the E. coli detection.
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Affiliation(s)
- Dong Zhao
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Yan Liu
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Zhen Pei
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Qiang Zhang
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Yixia Zhang
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Wendong Zhang
- MicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education & College of Information and Computer, Taiyuan University of Technology, Taiyuan, People's Republic of China
| | - Shengbo Sang
- Department of Pathology, Brigham and Women's Hospital/ Harvard Medical School, Boston, MA, USA.
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Turlings TCJ, Erb M. Tritrophic Interactions Mediated by Herbivore-Induced Plant Volatiles: Mechanisms, Ecological Relevance, and Application Potential. ANNUAL REVIEW OF ENTOMOLOGY 2018; 63:433-452. [PMID: 29324043 DOI: 10.1146/annurev-ento-020117-043507] [Citation(s) in RCA: 340] [Impact Index Per Article: 56.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Tritrophic interactions between plants, herbivores, and their natural enemies are an integral part of all terrestrial ecosystems. Herbivore-induced plant volatiles (HIPVs) play a key role in these interactions, as they can attract predators and parasitoids to herbivore-attacked plants. Thirty years after this discovery, the ecological importance of the phenomena is widely recognized. However, the primary function of HIPVs is still subject to much debate, as is the possibility of using these plant-produced cues in crop protection. In this review, we summarize the current knowledge on the role of HIPVs in tritrophic interactions from an ecological as well as a mechanistic perspective. This overview focuses on the main gaps in our knowledge of tritrophic interactions, and we argue that filling these gaps will greatly facilitate efforts to exploit HIPVs for pest control.
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Affiliation(s)
- Ted C J Turlings
- Laboratory of Fundamental and Applied Research in Chemical Ecology, University of Neuchâtel, 2000 Neuchâtel, Switzerland;
| | - Matthias Erb
- Institute of Plant Sciences, University of Bern, 3013 Bern, Switzerland;
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Fujii S, Nobukawa A, Osaki T, Morimoto Y, Kamiya K, Misawa N, Takeuchi S. Pesticide vapor sensing using an aptamer, nanopore, and agarose gel on a chip. LAB ON A CHIP 2017; 17:2421-2425. [PMID: 28620670 DOI: 10.1039/c7lc00361g] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
A pesticide vapor sensor was developed using an agarose gel-based chip containing a nanopore sensing system. Vaporized omethoate was detected by the absorption into the gel, the complex formation with a DNA aptamer, and its obstruction at the nanopore. This strategy is applicable to other vapors, expanding the versatility of nanopore sensors.
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Affiliation(s)
- Satoshi Fujii
- Kanagawa Academy of Science and Technology (The current name is, Artificial Cell Membrane Systems Group, Kanagawa Institute of Industrial Science and Technology), 3-2-1 Sakado, Takatsu, 213-0012 Kawasaki, Japan.
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