The goal of this study was to evaluate the contribution of ataxia telangiectasia mutated (ATM) gene promoter methylation to hepatocellular carcinoma (HCC) and the predictive value of radiotherapy outcome. ATM promoter methylation status was detected using methylation-specific PCR in 118 HCC, 50 adjacent liver, and 20 normal liver samples. PCR products were verified by bisulfite sequencing PCR. ATM expression was detected by quantitative PCR (qPCR) and immunohistochemistry (IHC) in 50 paired HCC and adjacent normal tissues and 68 locally advanced HCC biopsy tissues. Furthermore, radiotherapy outcomes in 68 locally advanced HCC patients were determined using European Association for the Study of Liver criteria and survival analysis. The results revealed that the methylation frequency of the ATM promoter was significantly higher in HCC tissues than in normal liver tissues (χ2 = 16.830, P < .001). Quantitative PCR (qPCR) and IHC results showed a significant association between ATM promoter methylation and ATM expression in HCC (χ2 = 10.510, P < .001), and methylated ATM was correlated with lower ATM expression compared with unmethylated ATM (r = 0.356, P < .001). Furthermore, methylation of the ATM promoter was significantly associated with superior outcomes in patients with locally advanced HCC who initially received radiotherapy. Together, these results indicate that ATM promoter methylation might increase the risk of HCC by regulating ATM expression, and thus may function as a potential biomarker for predicting radiotherapy outcomes in HCC patients.
Ovarian cancer is the second leading cause of cancer-related deaths in women, with low five-year survival rates. Therefore, it is essential to seek new treatment options. Olaparib, a PARP inhibitor, has benefited many ovarian cancer patients, but olaparib is much less effective as a single agent in 50% of patients with high grade severe tumors. Proguanil, which was originally developed as an anti-malarial drug, has gained attention due to its anti-tumor effects. Here, we evaluated the anti-tumor effect of the combination of olaparib and proguanil on ovarian cancer cells, aimed to develop a potential medical option for treating ovarian cancer patients. We examined the effect on proliferation by MTT and colony formation assays, while cell migration was measured by the transwell assay. The effect on apoptosis was measured by flow cytometry and AO/EB staining assays. Western blotting was used to detect protein expression levels in cells treated with olaparib and/or proguanil. In addition, the synergistic effect of these two drugs is calculated by CompuSyn software. The combination of olaparib and proguanil significantly increased growth suppression and apoptosis in ovarian cancer cells, compared to either single agent alone. Furthermore, results showed that the combination of olaparib and proguanil synergistically increased olaparib-induced apoptosis and DNA damage and reduced the efficiency of DNA homologous recombination repair. Our findings indicate that combination of olaparib with proguanil will be a novel potential administration route for treating ovarian cancer patients.
Inhibitors of ataxia – telangiectasia mutated (ATM), such as KU‐55933 (Ku), represent a promising class of novel anticancer drugs. In addition, the biguanide derivative phenformin exhibits antitumor activity superior to that of the AMPK activator metformin. Herein, we assessed the potential combinatorial therapeutic efficacy of phenformin and Ku when used to inhibit the growth of liver cancer cells, and we assessed the mechanisms underlying such efficacy. The Hep‐G2 and SMMC‐7721 liver cancer cell lines were treated with phenformin and Ku either alone or in combination, after which the impact of these drugs on cellular proliferation was assessed via 3‐(4,5‐dimethylthiazol) 2, 5‐diphenyltetrazolium and colony formation assays, whereas Transwell assays were used to gauge cell migratory activity. The potential synergy between these two drugs was assessed using the compusyn software, while flow cytometry was employed to evaluate cellular apoptosis. In addition, western blotting was utilized to measure p‐ATM, p‐AMPK, p‐mTOR, and p‐p70s6k expression, while mitochondrial functionality was monitored via morphological analyses, JC‐1 staining, and measurements of ATP levels. Phenformin and Ku synergistically impacted the proliferation, migration, and apoptotic death of liver cancer cells. Together, these compounds were able to enhance AMPK phosphorylation while inhibiting the phosphorylation of mTOR and p70s6k. These data also revealed that phenformin and Ku induced mitochondrial dysfunction as evidenced by impaired ATP synthesis, mitochondrial membrane potential, and abnormal mitochondrial morphology. These findings suggest that combination treatment with phenformin and Ku may be an effective approach to treating liver cancer via damaging mitochondria within these tumor cells.
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It is a crucial to find target compounds in natural product research. This study presents a concept of structure-guided isolation to find candidate active molecules from herbs. We establish a process of anti-viral sesquiterpene networking. An analysis of the networking suggested that new anti-HBV sesquiterpene may be attributable to eudesmane-, guaiane-, cadinane-, germacane- and bisabolane-type sesquiterpenes. In order to evaluate the efficiency of the structure-based molecular networking, ethanol extract of Saussurea lappa (Decne.) C.B Clarke was investigated, which led to the isolation of two guaiane-type (1 and 14), ten eudesmane-type (2–5 and 8–13), two chain (6 and 7) and one germacrane-type (15) sesquiterpenes, including seven new ones, lappaterpenes A–G (1–7), which are reported on herein. The absolute configurations of the new compounds were established by coupling constants, calculated ECD and ROESY correlations, as well as comparisons of optical rotation values with those of known compounds. The absolute configuration of compound 2 was further confirmed by X-ray diffraction. Compounds 1–15 were evaluated for their potency against hepatitis B virus. Compounds 4, 6, 7 and 9 showed effect on HBsAg with inhibition ratios of more than 40% at 30 μM concentrations. Compounds 14 and 15 inhibited HBsAg secretion with the values of IC50 0.73 ± 0.18 and 1.43 ± 0.54 μM, respectively. Structure-based molecular networking inspired the discovery of target compounds.
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