Clinical trial NCT03958812: Diagnostic Power Comparison Between VOCs and CTCs
Official title: The Diagnostic Power of VOCs Compared With CTCs for Cancer
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Circulating Tumor Cell
Volatile Organic Chemicals
Breast Cancer
Gastric Cancer
Diagnoses Disease
Keywords: CTCs
VOCs
Breast cancer
Gastric cancer
diagnoses
Lead sponsor: Anhui Medical University
Sponsor class: OTHER
Collaborators: name: Technion, Israel Institute of Technology
First posted: 2019-05-22
Enrollment: 200
Sex: ALL
Minimum age (years): 18
Maximum age (years): 75
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: 200 patients or volunteers who undergo Gastroscopy or breast surgery in Anhui Provincial cancer hospital, Hefei, China

Brief summary: Early diagnosis of malignant tumors is pivotal for improving their prognoses. Circulating tumor cells (CTC) in peripheral blood and Volatile organic compounds (VOCs) in exhaled breath are newly developed diagnosis method. Due to the low percentage of CTCs in peripheral blood of cancer patients and the surface structure of lymphocytes (especially megakaryocytes) is often confused with tumor cells, CTC has a high false positive and negative rate. In recent years, the detection of volatile organic compounds (VOCs) in exhaled breath as a simple and noninvasive method has shown broad application prospects in the diagnosis of various diseases. A series of studies of VOCs diagnosing solid tumors the investigators had conducted in the past decade show that VOCs can not only distinguish different types of tumors, but also can make a distinction between different stages. This study was to compare CTC and VOCs with clinical samples. Predictive models will be built employing discriminant factor analysis (DFA) pattern recognition method. Sensitivity and specificity will be determined using leave-one-out cross-validation or an independent blind test set.

Detailed description: 200 patients with definitive diagnoses will be enrolled and the alveolar exhaled breath samples and peripheral venous blood will be collected. Two blood samples and two breath samples will be collected from each patient. One blood sample will be send to CTC tests for a blind test and the other will be used for headspace VOCs analyses. One breath sample was used for analysis with the Nano-sensors array, and the other was used for gas chromatography coupled with mass spectrometry (GC-MS) analysis. The VOCs samples were collected using sorbent tubes at a total flow through sorption trap of 200ml/min, then will be send to Israel Institute of Technology for further test.

Eligibility criteria: Inclusion Criteria:

* 18-75 years
* Definitive diagnosis of gastric cancer, breast cancer,benign breast disease and gastric lesions
* ECOG(Eastern Cooperative Oncology Group) scores ≤ 2

Exclusion Criteria:

* Other palliative chemotherapy and radiotherapy for this cancer
* Other cancer
* Diabetes, Fatty liver
* Autoimmune disease
* Pulmonary ventilation dysfunction

Primary outcomes:
measure: Discrimination between Malignant and Benign Gastric/Breast Lesions and normal group with each diagnostic method (Na-nose/GC-MS/CTC)
timeFrame: From June 15,2019 to June 1,2020
Secondary outcomes:
measure: Comprehensive diagnostic model of VOCs and CTCs
timeFrame: From June 1,2020 to Dec 31,2020
Other outcomes:
Locations:
Study officials:
affiliation: Anhui Provincial Cancer Hospital
name: Hu Liu, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: 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.
citation: 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.
citation: 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.
citation: 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.
citation: 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.
citation: 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.