Paper
31 December 2018 Infrared spectroscopy criteria for diagnostics selection of patients with ovarian cancer for further molecular genetic studies
I. Gruia, S. B. Yermolenko, O. P. Peresunko, Bin Guo, Zhebo Chen
Author Affiliations +
Proceedings Volume 10977, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX; 1097734 (2018) https://doi.org/10.1117/12.2323599
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies IX, 2018, Constanta, Romania
Abstract
The article is devoted to the substantiation of the selection of patients with ovarian cancer (OC) for the purpose of conducting expensive molecular genetic studies on genotyping, namely the identification of gene of hereditary predisposition of OC (BRCA1 and BRCA2). The proposed method makes it possible at the first stage to find among all patients with ovarian the proposed individuals whose further molecular genetic studies will objectively confirm the diagnosis of hereditary cancer (by genotyping on (BRCA I and II), which significantly reduces the cost of these studies in the population. The object of the study during infrared spectrometry (IR spectrometry) was plasma blood of patients with a verified diagnosis of ovarian cancer (35 patients - 1 group), as well as healthy (30 - control group). A preliminary data show that the optical method of infrared plasma spectroscopy of patients with ovarian cancer patients needs further research as a test screening method for the diagnosis of hereditary ovarian cancer as a preliminary selection of patients for molecular genetic studies (BRCA I and II).
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Gruia, S. B. Yermolenko, O. P. Peresunko, Bin Guo, and Zhebo Chen "Infrared spectroscopy criteria for diagnostics selection of patients with ovarian cancer for further molecular genetic studies", Proc. SPIE 10977, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX, 1097734 (31 December 2018); https://doi.org/10.1117/12.2323599
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KEYWORDS
Infrared spectroscopy

Ovarian cancer

Plasma

Blood

Absorption

Diagnostics

Infrared radiation

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