Anti-Cancer Drug Sensitivity Assay with Quantitative Heterogeneity Testing Using Single-Cell Raman Spectroscopy

Autor: Anpei Ye, Wenhao Shang, Yong Zhang, Yuezhou Yu, Jingjing Xu
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Drug
Coefficient of determination
media_common.quotation_subject
drug sensitivity testing
Cell
Cell Culture Techniques
Pharmaceutical Science
Spectrum Analysis
Raman
Article
Analytical Chemistry
lcsh:QD241-441
03 medical and health sciences
symbols.namesake
0302 clinical medicine
raman spectroscopy
lcsh:Organic chemistry
Trastuzumab
Cell Line
Tumor
Drug Discovery
medicine
Humans
Cytotoxic T cell
Physical and Theoretical Chemistry
media_common
Analgesics
Dose-Response Relationship
Drug
Chemistry
Organic Chemistry
In vitro
030104 developmental biology
medicine.anatomical_structure
Drug Resistance
Neoplasm
Chemistry (miscellaneous)
medical optics
030220 oncology & carcinogenesis
Cancer cell
Cancer research
symbols
cancer cells
Molecular Medicine
Drug Screening Assays
Antitumor
Single-Cell Analysis
Raman spectroscopy
medicine.drug
biotechnology
Zdroj: Molecules, Vol 23, Iss 11, p 2903 (2018)
Molecules
Volume 23
Issue 11
ISSN: 1420-3049
Popis: A novel anti-cancer drug sensitivity testing (DST) approach was developed based on in vitro single-cell Raman spectrum intensity (RSI). Generally, the intensity of Raman spectra (RS) for a single living cell treated with drugs positively relates to the sensitivity of the cells to the drugs. In this study, five cancer cell lines (BGC 823, SGC 7901, MGC 803, AGS, and NCI-N87) were exposed to three cytotoxic compounds or to combinations of these compounds, and then they were evaluated for their responses with RSI. The results of RSI were consistent with conventional DST methods. The parametric correlation coefficient for the RSI and Methylthiazolyl tetrazolium assay (MTT) was 0.8558 ±
0.0850, and the coefficient of determination was calculated as R2 = 0.9529 ±
0.0355 for fitting the dose&ndash
response curve. Moreover, RSI data for NCI-N87 cells treated by trastuzumab, everolimus (cytostatic), and these drugs in combination demonstrated that the RSI method was suitable for testing the sensitivity of cytostatic drugs. Furthermore, a heterogeneity coefficient H was introduced for quantitative characterization of the heterogeneity of cancer cells treated by drugs. The largest possible variance between RSs of cancer cells were quantitatively obtained using eigenvalues of principal component analysis (PCA). The ratio of H between resistant cells and sensitive cells was greater than 1.5, which suggested the H-value was effective to describe the heterogeneity of cancer cells. Briefly, the RSI method might be a powerful tool for simple and rapid detection of the sensitivity of tumor cells to anti-cancer drugs and the heterogeneity of their responses to these drugs.
Databáze: OpenAIRE
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