Search of new cytotoxic crude materials against human oral squamous cell carcinoma using 1H NMR-based metabolomics
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Background: The 5-year survival rate of the oral cancer patients has remained at approximately the 50% level during the past 30 years, possibly due to the poor tumor-selectivity of conventional anticancer drugs. This prompted us to search new plant extracts that have higher cytotoxicity against cancer cells than normal cells. Materials and Methods: Two human oral squamous cell carcinoma cell lines (HSC-2 and HSC-4) and two normal oral cells (gingival and periodontal ligament fibroblasts; HGF and HPLF) were incubated for 48 h with various concentrations of crude plant extract and the viable cell number was determined by the (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method. The 50% cytotoxic concentration (CC50) was determined from the dose-response curve. Tumor-specificity (TS) was determined by the following equation: TS=mean CC50 (normal cells)/mean CC50 (cancer cell lines). Metabolic profiling techniques based on 1H nuclear magnetic resonance (NMR) were applied to gain the chemical structural insight for cytotoxicity induction. Results: Among 24 plant extracts, Camptotheca acuminate leaf, a well-known source for camptothecin, showed the highest TS value (88.3), followed by Vitis s.p.p. (>3.5), Sasa veitchii (>2.3) and Phellodendron amurense (>2.1), whereas other plant extracts showed much lower TS value (<2). These cytotoxic extracts made cluster on principal component analysis (PCA) score plot. Conclusion: The TS value determined by the present method seems to reflect the anti-tumor potential of each plant extract, while a part of the cytotoxic compounds present in these extracts may have common chemical structures.
identifier:JOS-02507005-34-4117
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- Anticancer Research
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Anticancer Research 34 (8), 4117-4120, 2014-08
International Institute of Anticancer Research
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詳細情報 詳細情報について
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- CRID
- 1050001202790144000
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- NII論文ID
- 120005538072
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- NII書誌ID
- AA10625860
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- ISSN
- 02507005
- 17917530
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- CiNii Articles