Diagnosis of Lung Cancer From Exhaled Breath With Silicon Biophotonic Device
NCT ID: NCT01660087
Last Updated: 2017-04-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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WITHDRAWN
NA
INTERVENTIONAL
2012-04-30
2015-09-30
Brief Summary
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The specific aims of this proposal are as followings:
Aim 1: To develop a biophotonic platform for the detection of VOCs
Aim 2: To achieve multiplex detection of VOCs with high sensitivity and specificity using a novel biophotonic device.
Aim 3: To evaluate the device as a lung cancer screening tool by testing both healthy and lung cancer breath samples
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Detailed Description
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Combining the strength of IME's in the biophotonics, the research groups at NUS in basic science and the NUH clinician's knowledge and expertise in lung cancer, this proposal is aiming to tackle the challenge of lung cancer screening by developing a non-invasive, inexpensive, and accurate sensor platform to detect VOCs in exhaled breath. The device will consists of arrays of silicon micro-ring resonator sensors coated with polymers with different organic functionalities, in which each sensor is widely responsive to a variety of VOCs. In this proposal, we plan to build a prototype device and test for the detection of VOCs in exhaled breath from healthy controls and lung cancer patients. The successful outcome of this proposal would have an immense impact on lung cancer management by enabling an early stage cancer screening.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Interventions
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Biophotonic platform for VOC detection
Multiplex detection of VOCs with high sensitivity and specificity using a novel biophotonic device.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
21 Years
ALL
Yes
Sponsors
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National University Hospital, Singapore
OTHER
Responsible Party
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Principal Investigators
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Pyng Lee, MD
Role: PRINCIPAL_INVESTIGATOR
National University Hospital, Singapore
Mi Kyoung Park, Ph.D
Role: PRINCIPAL_INVESTIGATOR
Institute of Microelectronics
Locations
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Institute of Microelectronics
Singapore, Singapore, Singapore
National University Hospital/ National University of Singapore
Singapore, Singapore, Singapore
Countries
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References
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Jemal A, Siegel R, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010 Sep-Oct;60(5):277-300. doi: 10.3322/caac.20073. Epub 2010 Jul 7.
International Early Lung Cancer Action Program Investigators; Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, Miettinen OS. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med. 2006 Oct 26;355(17):1763-71. doi: 10.1056/NEJMoa060476.
Sit AK, Sihoe AD, Suen WS, Cheng LC. Positron-emission tomography for lung cancer in a tuberculosis-endemic region. Asian Cardiovasc Thorac Ann. 2010 Feb;18(1):33-8. doi: 10.1177/0218492309352119.
Mahadevia PJ, Fleisher LA, Frick KD, Eng J, Goodman SN, Powe NR. Lung cancer screening with helical computed tomography in older adult smokers: a decision and cost-effectiveness analysis. JAMA. 2003 Jan 15;289(3):313-22. doi: 10.1001/jama.289.3.313.
Phillips M, Gleeson K, Hughes JM, Greenberg J, Cataneo RN, Baker L, McVay WP. Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study. Lancet. 1999 Jun 5;353(9168):1930-3. doi: 10.1016/S0140-6736(98)07552-7.
Phillips M, Cataneo RN, Cummin AR, Gagliardi AJ, Gleeson K, Greenberg J, Maxfield RA, Rom WN. Detection of lung cancer with volatile markers in the breath. Chest. 2003 Jun;123(6):2115-23. doi: 10.1378/chest.123.6.2115.
Mazzone PJ. Analysis of volatile organic compounds in the exhaled breath for the diagnosis of lung cancer. J Thorac Oncol. 2008 Jul;3(7):774-80. doi: 10.1097/JTO.0b013e31817c7439.
Filipiak W, Sponring A, Mikoviny T, Ager C, Schubert J, Miekisch W, Amann A, Troppmair J. Release of volatile organic compounds (VOCs) from the lung cancer cell line CALU-1 in vitro. Cancer Cell Int. 2008 Nov 24;8:17. doi: 10.1186/1475-2867-8-17.
Phillips M, Altorki N, Austin JH, Cameron RB, Cataneo RN, Greenberg J, Kloss R, Maxfield RA, Munawar MI, Pass HI, Rashid A, Rom WN, Schmitt P. Prediction of lung cancer using volatile biomarkers in breath. Cancer Biomark. 2007;3(2):95-109. doi: 10.3233/cbm-2007-3204.
Di Natale C, Macagnano A, Martinelli E, Paolesse R, D'Arcangelo G, Roscioni C, Finazzi-Agro A, D'Amico A. Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors. Biosens Bioelectron. 2003 Sep;18(10):1209-18. doi: 10.1016/s0956-5663(03)00086-1.
Mazzone PJ, Hammel J, Dweik R, Na J, Czich C, Laskowski D, Mekhail T. Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array. Thorax. 2007 Jul;62(7):565-8. doi: 10.1136/thx.2006.072892. Epub 2007 Feb 27.
Peng G, Trock E, Haick H. Detecting simulated patterns of lung cancer biomarkers by random network of single-walled carbon nanotubes coated with nonpolymeric organic materials. Nano Lett. 2008 Nov;8(11):3631-5. doi: 10.1021/nl801577u. Epub 2008 Oct 8.
Machado RF, Laskowski D, Deffenderfer O, Burch T, Zheng S, Mazzone PJ, Mekhail T, Jennings C, Stoller JK, Pyle J, Duncan J, Dweik RA, Erzurum SC. Detection of lung cancer by sensor array analyses of exhaled breath. Am J Respir Crit Care Med. 2005 Jun 1;171(11):1286-91. doi: 10.1164/rccm.200409-1184OC. Epub 2005 Mar 4.
Peng G, Tisch U, Adams O, Hakim M, Shehada N, Broza YY, Billan S, Abdah-Bortnyak R, Kuten A, Haick H. Diagnosing lung cancer in exhaled breath using gold nanoparticles. Nat Nanotechnol. 2009 Oct;4(10):669-73. doi: 10.1038/nnano.2009.235. Epub 2009 Aug 30.
Carlborg CF, Gylfason KB, Kazmierczak A, Dortu F, Banuls Polo MJ, Maquieira Catala A, Kresbach GM, Sohlstrom H, Moh T, Vivien L, Popplewell J, Ronan G, Barrios CA, Stemme G, van der Wijngaart W. A packaged optical slot-waveguide ring resonator sensor array for multiplex label-free assays in labs-on-chips. Lab Chip. 2010 Feb 7;10(3):281-90. doi: 10.1039/b914183a. Epub 2009 Nov 12.
Other Identifiers
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SERC/1121480001
Identifier Type: -
Identifier Source: org_study_id
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