Volume 4, Issue 3 (Multidisciplinary Cancer Investigation 2020)                   Multidiscip Cancer Investig 2020, 4(3): 25-30 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Stefan-van Staden R I, Ilie-Mihai R M, Gurzu S. The Fast Screening Method of Biological Samples for Early Diagnosis of Gastric Cancer. Multidiscip Cancer Investig. 2020; 4 (3) :25-30
URL: http://mcijournal.com/article-1-273-en.html
Abstract:   (619 Views)
Introduction: Early diagnosis of gastric cancer is the best solution for reversing cancer and curing patients. So far, gastric cancer is diagnosed in late stages due to misinterpretation of symptoms or absence of specific symptoms. Highly sensitive and selective detection methods for biomarkers are needed for early detection.
Methods: This paper proposed a new fast screening method, based on the utilization of a new stochastic microsensor, able to reliably perform the molecular recognition and quantitative determination of three biomarkers including CA19-9, CEA, and p53 in biological samples such as whole blood, saliva, urine, and tumoral tissue.
Results: The limits of determination were lower than those used for the standard assay of these biomarkers in the specialized laboratories (e.g., ELISA, chemiluminescence) and this can facilitate the determination of CA19-9, CEA, and p53 at very low levels in biological fluids. The validation of the method was done; using biological samples (urine, saliva, whole blood, and tumoral tissues) from confirmed patients.
Conclusions: The proposed tools and method proposed in this paper can be used as a screening test for early diagnosis of gastric cancer as well as to follow up on the efficiency of the proposed patients.
Full-Text [PDF 1082 kb]   (211 Downloads)    
Type of Study: Original/Research Article | Subject: early detection
Received: 2020/05/13 | Accepted: 2020/06/17 | ePublished: 2020/07/1

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2020 All Rights Reserved | Multidisciplinary Cancer Investigation

Designed & Developed by : Yektaweb