Determination of cancer progression in breast cells by fiber optic bioimpedance spectroscopy system
Öz
Aim: It is well established that cancer can be most effectively treated when diagnosed at an early stage. Therefore, development, evaluation, and validation of new biomedical approaches for early detection of cancer and precancerous lesions are important priorities. Our aim was to distinguish low metastatic human breast cells from normal human breast cells using the Fiber Optic Bioimpedance Spectroscopy (FOBIS) system.
Methods: In the FOBIS system we developed, the diameters of the fibers and platinum wires are 50 and 25µm, respectively. The sensitivity of the system to differentiate different cell types was assessed with high metastatic (MDA-MB-231), low metastatic (MCF-7) and normal breast epithelial cells (MCF-10A). Statistical evaluation of data was performed by using Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Spectroscopic data obtained from FOBIS system on suspended human breast cells were evaluated by multivariate statistical analysis to obtain information about the cell type. Fiber optic and bioimpedance methods allow discrimination of different cell types based on their signature. By combining these two techniques, the sensitivity of the system to the differentiation of human breast cells was evaluated.
Results: The discrimination provided the sensitivity of 100% and specificity of 60% in distinguishing MCF-7 from MCF-10A cells.
Conclusion: A highly accurate distinction of breast cancer cells was achieved in cell culture by FOBIS system.
Anahtar Kelimeler
Destekleyen Kurum
Proje Numarası
Kaynakça
- 1. Hodgkin AL, Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol. 1952;117:500-44.
- 2. Schwan HP. Electrical properties of tissue and cell suspensions. Adv Biol Med Phys. 1957;5:147-209.
- 3. Lukaski HC. Biological indexes considered in the derivation of the bioelectrical impedance analysis. Am J Clin Nutr. 1996;64:397S-404S.
- 4. Selberg O, Selberg D. Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol. 2002;86:509-16.
- 5. Farre R, Blondeau K, Clement D, Vicario M, Cardozo L, Vieth M, et al. Evaluation of oesophageal mucosa integrity by the intraluminal impedance technique. Gut. 2011;60:885-92.
- 6. Salomon G, Hess T, Erbersdobler A, Eichelberg C, Greschner S, Sobchuk AN, et al. The feasibility of prostate cancer detection by triple spectroscopy. Eur Urol. 2009;55:376-83.
- 7. Grimnes S, Martinsen ØG. Geometrical Analysis in Bioimpedance and Bioelectricity Basics. Academic Press: Oxford; 2015. pp. 141-178.
- 8. Eriksson L, Andersson PL, Johansson E, Tysklind M. Megavariate analysis of environmental QSAR data. Part II--investigating very complex problem formulations using hierarchical, non-linear and batch-wise extensions of PCA and PLS. Mol Divers. 2006;10:187-205.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Biyokimya ve Hücre Biyolojisi (Diğer), Klinik Tıp Bilimleri, Klinik Tıp Bilimleri (Diğer), Tıbbi ve Biyolojik Fizik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
2 Ocak 2020
Gönderilme Tarihi
7 Ocak 2020
Kabul Tarihi
2 Şubat 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 4 Sayı: 1
Cited By
Serum RANKL levels and bioelectric impedance assessments in knee osteoarthritis patients
Journal of Surgery and Medicine
https://doi.org/10.28982/josam.697686