AMB Express · 2020 · 19 citations · 44 references
MedicineOncologyPharmacologyApoptosisBiochemical PharmacologyCancer PharmacologyApoptosis PharmacologyMedicinal Plant KnowledgeMedicinal PlantsPhenolic Compound AnalysisPhenolic Profile AnalysisAnticancer ActivityAntioxidant Activity AssaysPharmacological ScreeningPhenolic Composition AnalysisPhenolic Content AnalysisPhytochemical CompositionPlant Extract AntioxidantsTotal Phenolic Content
Abstract Linum usitatissimum is a candidate as a remedy to treat prostate problems in some folklore medicines. In this study, we have reported the phenolic and flavonoid constituents, antioxidant activity, and potential of the plant extract against prostate cancer cells. The phenolic and flavonoid compound profile of the extract were established using HPLC analysis. While the total phenolic and flavonoid content (TPC and TFC) were analyzed using classic methods. The antioxidant activity of the extract was also evaluated. MTT assay and flow cytometry technique was used to evaluate antiproliferation activity and induction apoptosis of the plant extract on prostate cancer cells of LNCaP. We also evaluated the gene expression of Bax and caspase-3 using the real-time qPCR assay. HPLC result revealed that L. usitatissimum extract (LUE) was rich in phenolic acids such as gallic, ferulic, and vanillic acid with the amount of 3.56, 2.12, 1.24 μg/g extract respectively. 383.4 mg GAE/g and 47.1 mgRuE/g were calculated for total phenolic and flavonoid content. LUE exhibited radical scavenging activity with IC 50 = 19.3 ± 1.1 µg/mL. LUE chelated ferrous ions with IC 50 = 121.1 ± 1.3 µg/mL. LUE showed anti-proliferative activity on LNCaP cells with the IC 50 values of 8.3, 6.3, and 5.4 μg/mL after 24, 48, and 72 h treatment. LUE also increased cell mortality by inducing apoptosis (15.3–29.8%). The real-time qPCR results exhibited an increase in gene expression of Bax and caspase-3. Our in vitro study demonstrates that L. usitatissimum can be considered as an effective agent to inhibit the growth and invasion the human prostate cancer cells.
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Prostate Cancer Detection using Deep Convolutional Neural Networks
Scientific Reports · 2019 · 205 citations · Full text