Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Detection Of Lung, Breast, Colorectal, And Prostate Cancers From Exhaled Breath Using A Single Array Of Nanosensors

G. Peng, M. Hakim, Y. Broza, S. Billan, R. Abdah-Bortnyak, A. Kuten, U. Tisch, H. Haick
Published 2010 · Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
Share
Background:Tumour growth is accompanied by gene and/or protein changes that may lead to peroxidation of the cell membrane species and, hence, to the emission of volatile organic compounds (VOCs). In this study, we investigated the ability of a nanosensor array to discriminate between breath VOCs that characterise healthy states and the most widespread cancer states in the developed world: lung, breast, colorectal, and prostate cancers.Methods:Exhaled alveolar breath was collected from 177 volunteers aged 20–75 years (patients with lung, colon, breast, and prostate cancers and healthy controls). Breath from cancerous subjects was collected before any treatment. The healthy population was healthy according to subjective patient's data. The breath of volunteers was examined by a tailor-made array of cross-reactive nanosensors based on organically functionalised gold nanoparticles and gas chromatography linked to the mass spectrometry technique (GC-MS).Results:The results showed that the nanosensor array could differentiate between ‘healthy’ and ‘cancerous’ breath, and, furthermore, between the breath of patients having different cancer types. Moreover, the nanosensor array could distinguish between the breath patterns of different cancers in the same statistical analysis, irrespective of age, gender, lifestyle, and other confounding factors. The GC-MS results showed that each cancer could have a unique pattern of VOCs, when compared with healthy states, but not when compared with other cancer types.Conclusions:The reported results could lead to the development of an inexpensive, easy-to-use, portable, non-invasive tool that overcomes many of the deficiencies associated with the currently available diagnostic methods for cancer.
This paper references
10.1186/1465-9921-6-71
Exhaled volatile organic compounds in patients with non-small cell lung cancer: cross sectional and nested short-term follow-up study
D. Poli (2005)
Early detection of lung cancer: clinical perspectives of recent advances in biology and radiology.
F. Hirsch (2001)
10.1002/smll.200900937
Sniffing the unique "odor print" of non-small-cell lung cancer with gold nanoparticles.
O. Barash (2009)
10.1088/1752-7155/2/4/046006
The analysis of healthy volunteers' exhaled breath by the use of solid-phase microextraction and GC-MS.
T. Ligor (2008)
10.2174/138955707779802606
Breath analysis: the approach towards clinical applications.
A. Amann (2007)
10.1158/1055-9965.EPI-09-0162
TD-GC-MS Analysis of Volatile Metabolites of Human Lung Cancer and Normal Cells In vitro
W. Filipiak (2010)
10.1016/S1748-0132(07)70016-6
Au nanoparticles target cancer
P. Jain (2007)
10.1038/nnano.2009.235
Diagnosing lung cancer in exhaled breath using gold nanoparticles.
G. Peng (2009)
10.1183/09031936.00142508
Exhaled biomarkers in lung cancer
I. Horváth (2009)
Respir Physiol Neurobiol
Staging and classification of cancer : a unified approach
P Rubin (1997)
10.1080/07399330390229957
BREAST CANCER SCREENING METHODS: A REVIEW OF THE EVIDENCE
M. Vahabi (2003)
10.1046/j.1524-4741.2003.09309.x
Volatile Markers of Breast Cancer in the Breath
M. Phillips (2003)
10.1515/CCLM.2008.181
Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study
I. Kushch (2008)
10.1039/C39950001655
Synthesis and reactions of functionalised gold nanoparticles
M. Brust (1995)
10.1016/0891-5849(94)90110-4
The potential of the hydrocarbon breath test as a measure of lipid peroxidation.
C. Kneepkens (1994)
10.3322/CA.2007.0010
Cancer Statistics, 2008
A. Jemal (2008)
10.1016/B978-0-12-207250-5.50008-7
The fluid mosaic model of the structure of cell membranes.
S. Singer (1972)
10.1142/9789812701954_0004
METABOLITES IN HUMAN BREATH: ION MOBILITY SPECTROMETERS AS DIAGNOSTIC TOOLS FOR LUNG DISEASES
J. Baumbach (2005)
10.1039/B700542N
The challenge of breath analysis for clinical diagnosis and therapeutic monitoring.
D. Smith (2007)
10.1093/CLINCHEM/40.8.1485
Pentane and isoprene in expired air from humans: gas-chromatographic analysis of single breath.
S. Mendis (1994)
10.1118/1.2986144
Breast cancer imaging: a perspective for the next decade.
A. Karellas (2008)
10.1257/JEP.22.4.3
Are we finally winning the war on cancer?
D. Cutler (2008)
10.1016/J.JCHROMB.2007.03.023
Breath air analysis and its use as a biomarker in biological monitoring of occupational and environmental exposure to chemical agents.
L. Amorim (2007)
10.1186/1471-2407-9-348
Noninvasive detection of lung cancer by analysis of exhaled breath
A. Bajtarevic (2009)
10.1515/CCLM.2009.133
Determination of volatile organic compounds in exhaled breath of patients with lung cancer using solid phase microextraction and gas chromatography mass spectrometry
M. Ligor (2009)
10.1002/(SICI)1097-0231(19990730)13:14<1354::AID-RCM641>3.0.CO;2-J
Analysis of formaldehyde in the headspace of urine from bladder and prostate cancer patients using selected ion flow tube mass spectrometry.
P. Španěl (1999)
10.1016/j.resp.2006.01.007
Gender and age specific differences in exhaled isoprene levels
M. Lechner (2006)
10.1073/pnas.0900975106
Detection and differentiation of normal, cancerous, and metastatic cells using nanoparticle-polymer sensor arrays
Avinash Bajaj (2009)
10.1097/JTO.0b013e31817c7439
Analysis of volatile organic compounds in the exhaled breath for the diagnosis of lung cancer.
P. Mazzone (2008)
10.1148/radiology.167.3.612
Principles and Practice of Radiation Oncology
A. Steinfeld (1988)
10.3322/canjclin.39.6.399
Cancer statistics
N. Dubrawsky (1989)
10.1088/0022-3727/40/23/S01
Chemical sensors based on molecularly modified metallic nanoparticles
H. Haick (2007)
10.1007/S00216-006-0460-Z
SPME in environmental analysis
G. Ouyang (2006)
10.1021/cr068121q
Electronic nose: current status and future trends.
Frank Röck (2008)
10.1021/nl801577u
Detecting simulated patterns of lung cancer biomarkers by random network of single-walled carbon nanotubes coated with nonpolymeric organic materials.
G. Peng (2008)
Early breast cancer. A review.
J. van Dongen (1989)
10.1259/bjr/21074350
Cancer surveillance based on imaging techniques in carriers of BRCA1/2 gene mutations: a systematic review.
M. J. Bermejo-Pérez (2008)
10.1126/science.175.4023.720
The Fluid Mosaic Model of the Structure of Cell Membranes
S. Singer (1972)
10.1016/S0378-4347(99)00127-9
Variation in volatile organic compounds in the breath of normal humans.
M. Phillips (1999)
10.1016/S0140-6736(98)07552-7
Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study
M. Phillips (1999)



This paper is referenced by
10.1007/s00216-018-1103-x
Screening of salivary volatiles for putative breast cancer discrimination: an exploratory study involving geographically distant populations
Carina Cavaco (2018)
10.1021/ACSAMI.6B11054
Nanowire-Assembled Hierarchical ZnCo2O4 Microstructure Integrated with a Low-Power Microheater for Highly Sensitive Formaldehyde Detection.
H. Long (2016)
10.1001/jamaoncol.2018.2815
Accuracy and Methodologic Challenges of Volatile Organic Compound–Based Exhaled Breath Tests for Cancer Diagnosis: A Systematic Review and Meta-analysis
G. Hanna (2018)
10.3233/CBM-140418
Optimization of volatile markers of lung cancer to exclude interferences of non-malignant disease.
Y. Zou (2014)
10.1002/9781118468869.CH14
Early Detection of Lung Cancer
M. Hassanein (2017)
10.4172/2157-7439.1000373
Plasmonic Sensors for Disease Detection - A Review
S. Barizuddin (2016)
10.1128/JCM.02838-12
Electronic Nose Technology for Detection of Invasive Pulmonary Aspergillosis in Prolonged Chemotherapy-Induced Neutropenia: a Proof-of-Principle Study
K. de Heer (2013)
10.1016/B978-0-44-462613-4.00024-6
Potential Applications of Volatile Organic Compounds in Safety and Security
A. Agapiou (2013)
10.1021/JZ2008648
Utility of Resistance and Capacitance Response in Sensors Based on Monolayer-Capped Metal Nanoparticles
G. Shuster (2011)
10.2174/138920111795909050
Volatile disease biomarkers in breath: a critique.
J. Kwak (2011)
10.1016/j.jallcom.2019.152985
UV-activated ZnO/CdO n-n isotype heterostructure as breath sensor
P. Srinivasan (2020)
10.1038/s41395-018-0187-4
2017 Emily Couric Memorial Lecture: Colorectal Cancer: Polyps, Prevention, and Progress.
M. Pochapin (2018)
Estabelecimento do perfil metabolómico volátil da urina e saliva, como estratégia não-invasiva, para a deteção de potenciais biomarcadores de diferentes tipos de cancro
Carina Cavaco (2015)
10.1021/acschemneuro.7b00318
Altered Volatile Organic Compound Profile in Transgenic Rats Bearing A53T Mutation of Human α-Synuclein: Comparison with Dopaminergic and Serotonergic Denervation.
J. Finberg (2018)
10.1186/s12885-018-4235-7
A study on volatile organic compounds emitted by in-vitro lung cancer cultured cells using gas sensor array and SPME-GCMS
R. Thriumani (2018)
10.18632/oncotarget.6269
Differentiation between genetic mutations of breast cancer by breath volatolomics
O. Barash (2015)
10.1039/c3cs60329f
Assessment, origin, and implementation of breath volatile cancer markers.
H. Haick (2014)
10.7150/thno.7560
Identification of Volatile Biomarkers of Gastric Cancer Cells and Ultrasensitive Electrochemical Detection based on Sensing Interface of Au-Ag Alloy coated MWCNTs
Yixia Zhang (2014)
10.1021/am403421g
Discriminative power of chemically sensitive silicon nanowire field effect transistors to volatile organic compounds.
Rotem Ermanok (2013)
10.1021/am2013695
Effect of humidity on nanoparticle-based chemiresistors: a comparison between synthetic and real-world samples.
Gady Konvalina (2012)
10.1021/acsnano.6b01441
Breath Analysis Based on Surface-Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons.
Y. Chen (2016)
10.12659/MSM.904738
A Prediction Model with a Combination of Variables for Diagnosis of Lung Cancer
Xiangsheng Cai (2017)
Early diagnosis and screening in lung cancer.
C. Căinap (2020)
10.1088/1752-7163/aba83f
Identification of profiles of volatile organic compounds in exhaled breath by means of an electronic nose as a proposal for a screening method for breast cancer: a case-control study.
L. Díaz de León-Martínez (2020)
10.7326/0003-4819-153-11-201012070-00021
The scent of cancer.
R. E. Jackson (2010)
10.3390/molecules24234275
Synthesis of Nano-Praseodymium Oxide for Cataluminescence Sensing of Acetophenone in Exhaled Breath
Qianchun Zhang (2019)
10.18297/ETD/826
A microreactor approach for chemoselective capture and analysis of carbonyl compounds in air and exhaled breath.
M. Li (2013)
10.1016/J.CARBON.2016.08.040
Recent advances in engineered graphene and composites for detection of volatile organic compounds (VOCs) and non-invasive diseases diagnosis
K. M. Tripathi (2016)
10.1016/j.jconrel.2017.10.035
Systematic approaches for biodiagnostics using exhaled air.
P. Shende (2017)
10.1021/ac4008013
Smelling in chemically complex environments: an optofluidic Bragg fiber array for differentiation of methanol adulterated beverages.
A. Yildirim (2013)
10.1021/am400757q
Tunable touch sensor and combined sensing platform: toward nanoparticle-based electronic skin.
Meital Segev-Bar (2013)
10.1088/1752-7155/6/2/027106
Exhaled breath volatile organic compound biomarkers in lung cancer.
P. Mazzone (2012)
See more
Semantic Scholar Logo Some data provided by SemanticScholar