Cancer Diagnoses From Exhaled Breath With Na-nose
Diagnosing Cancers From Healthy From Human Exhaled Breath With Na-nose
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Bao Chuyang, MD
- Phone Number: +86 18555039598
- Email: des_mond@outlook.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 18-75 years
- Cancer/benign disease having been diagnosed by pathology
- ECOG < 2
Exclusion Criteria:
- Concomitant malignancies other than one malignant tumor
- Diabetes, Fatty liver
- Autoimmune disease
- Ventilation and transaired function obstacle
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
cancer
Patients with definitively diagnosed of solid tumors
|
Chemical sensors based on Monolayer-Capped Metallic Nanoparticles (MCMNPs) can recognize and classify exhaled breath by special recognition algorithm, which achieves the purpose of disease diagnosis.
|
|
Benign disease
Patients with definitively diagnosed of benign disease or precancerous lesion
|
Chemical sensors based on Monolayer-Capped Metallic Nanoparticles (MCMNPs) can recognize and classify exhaled breath by special recognition algorithm, which achieves the purpose of disease diagnosis.
|
|
Normal
Healthy volunteers
|
Chemical sensors based on Monolayer-Capped Metallic Nanoparticles (MCMNPs) can recognize and classify exhaled breath by special recognition algorithm, which achieves the purpose of disease diagnosis.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Build predictive diagnosis database
Time Frame: From July 01,2019 to December 31,2021
|
First, feature VOCs of specific tumors will be extracted from part of collected samples and employed to build predictive model.
After the predictive model had been completed, number of definitively diagnosed patients will participate in validating the specificity and sensitivity of the prediction model.
|
From July 01,2019 to December 31,2021
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Associated feature exhaled breath with differentially expressed genes
Time Frame: From Juan 01,2022 to December 31,2022
|
Integrate the correlation and relevance between the exhaled samples and the differentially expressed genes in the cancer group and the benign / normal control group to explore the mechanism of feature VOCs' production.
|
From Juan 01,2022 to December 31,2022
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Hu Liu, MD, Anhui Provincial Hospital
Publications and helpful links
General Publications
- Nakhleh MK, Amal H, Jeries R, Broza YY, Aboud M, Gharra A, Ivgi H, Khatib S, Badarneh S, Har-Shai L, Glass-Marmor L, Lejbkowicz I, Miller A, Badarny S, Winer R, Finberg J, Cohen-Kaminsky S, Perros F, Montani D, Girerd B, Garcia G, Simonneau G, Nakhoul F, Baram S, Salim R, Hakim M, Gruber M, Ronen O, Marshak T, Doweck I, Nativ O, Bahouth Z, Shi DY, Zhang W, Hua QL, Pan YY, Tao L, Liu H, Karban A, Koifman E, Rainis T, Skapars R, Sivins A, Ancans G, Liepniece-Karele I, Kikuste I, Lasina I, Tolmanis I, Johnson D, Millstone SZ, Fulton J, Wells JW, Wilf LH, Humbert M, Leja M, Peled N, Haick H. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules. ACS Nano. 2017 Jan 24;11(1):112-125. doi: 10.1021/acsnano.6b04930. Epub 2016 Dec 21.
- Barash O, Zhang W, Halpern JM, Hua QL, Pan YY, Kayal H, Khoury K, Liu H, Davies MP, Haick H. Differentiation between genetic mutations of breast cancer by breath volatolomics. Oncotarget. 2015 Dec 29;6(42):44864-76. doi: 10.18632/oncotarget.6269.
- Amal H, Shi DY, Ionescu R, Zhang W, Hua QL, Pan YY, Tao L, Liu H, Haick H. Assessment of ovarian cancer conditions from exhaled breath. Int J Cancer. 2015 Mar 15;136(6):E614-22. doi: 10.1002/ijc.29166. Epub 2014 Sep 5.
- Amal H, Leja M, Broza YY, Tisch U, Funka K, Liepniece-Karele I, Skapars R, Xu ZQ, Liu H, Haick H. Geographical variation in the exhaled volatile organic compounds. J Breath Res. 2013 Dec;7(4):047102. doi: 10.1088/1752-7155/7/4/047102. Epub 2013 Nov 1.
- Leja MA, Liu H, Haick H. Breath testing: the future for digestive cancer detection. Expert Rev Gastroenterol Hepatol. 2013 Jul;7(5):389-91. doi: 10.1586/17474124.2013.811033. No abstract available.
- Amal H, Ding L, Liu BB, Tisch U, Xu ZQ, Shi DY, Zhao Y, Chen J, Sun RX, Liu H, Ye SL, Tang ZY, Haick H. The scent fingerprint of hepatocarcinoma: in-vitro metastasis prediction with volatile organic compounds (VOCs). Int J Nanomedicine. 2012;7:4135-46. doi: 10.2147/IJN.S32680. Epub 2012 Jul 30.
- Xu ZQ, Broza YY, Ionsecu R, Tisch U, Ding L, Liu H, Song Q, Pan YY, Xiong FX, Gu KS, Sun GP, Chen ZD, Leja M, Haick H. A nanomaterial-based breath test for distinguishing gastric cancer from benign gastric conditions. Br J Cancer. 2013 Mar 5;108(4):941-50. doi: 10.1038/bjc.2013.44.
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NanoBreathDiag
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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