Friday, 22.1.2016      

Cancer Cell Research (Online ISSN: 2161-2609)

   


Current Issue

Vol.2 No.6


Article: Chronopharmacology of Antitumor Effect of Gefitinib in Tumor-Bearing Nude and Its Mechanism1
by  Liang Liu, Mingchun Li 
Cancer Cell Research 2015 2(6) 125-128; published online 19 January 2015
Abstract: The aim of this study was to investigate the influence of different time points on the efficacy, and investigate its underlying mechanism. We established the non-small cell lung cancer model by BALB/c Nude, and then nude were randomly divided into gefitinib groupsand model group. Group gefitinib were given 1mg/kg gefitinib intragastrically at 4:00, 8:00, 12:00, 16:00, 20:00, 24:00, the model group received the same volume of 1%Tween-80 solution. The change of tumor volume in 20 days and tumor weight on the 21th day of mice were measured. The mRNA expressions of EGFR, AKT, ERK1/2 and mTOR in tumor tissue were detected. Compared with the model group, the tumor of group gefitinib mice grow slower(P <0.05), in which the group 8:00 is slowest, group 20:00 is fastest (P <0.05); the tumor mass of groups gefitinib were lower than the model group(P <0.05), the inhibition rate of group 8:00 was the highest, 20:00 group was the lowest; the lowest mRNA expression of EGFR, AKT, ERK1/2 and mTOR was group 8:00 group 20:00 was the highest. Gefitinib can inhibit the tumor of bearing mice, and have time rhythm, the best time of inhibitory effect is 8: 00, and the worst time of inhibitory effect is 20:00.

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Article: CT and MRI Diagnosis of Osteolytic Metastases of the Vertebral Column
by  Xiaonan Cai, Jihua Liu
Cancer Cell Research 2015 2(6) 129-133; published online 20 January 2015
Abstract: To analyze the CT and MRI features of spinal osteolytic metastases to investigate the diag nostic value of CT and MRI images of this disease. CT and MRI imaging features of 50 patients with spinal osteolytic metastases confirmed pathologically were analyzed retrospectively. CT imaging features: 72 vertebrae were involved in 50 patients, 32 vertebrae showed a rounded soft tissue low density area, 40 vertebrae showed an irregular sheet of soft tissue low density area. Fifty-three of these 72 vertebrae were surrounded with sclerotic margins which were thinner than 2 mm. In 39 vertebrae the cortex was destroyed, while in 11 vertebrae the cortex had expanded into an incomplete crustiform structure. Eight vertebrae were fragmented and appeared as mottling, with imaging showing that the outline of the vertebrae had disappeared, with burst-like bone fragments scattered around, and the vertebrae exhibiting mixed density. Twelve vertebrae were associated with pathologic compression fractures. There were 35 paraspinal soft tissue masses. MRI imaging features: of the 72 osteolytic metastatic vertebrae shown in CT, 62 vertebral lesions showed low signal in T1WI, while T2WI showed a heterogeneous high signal, and T2WI fat-suppressed images also showed a high signal, the 53 vertebrae surrounded by sclerotic margins showed corresponding low signal rings in T1WI. Osteolytic spinal metastases each have their own characteristics in CT and MRI imaging. CT has the ability to make accurate judgments on sclerotic changes in the vertebrae, while MRI is more sensitive to paraspinal soft tissue swelling, soft tissue masses and bone marrow edema. It becomes a specific performance that there ubiquity sclerosis around the lesions. The combination of both CT and MRI can provide accurate and reliable clinical information, and improve the rate of accurate diagnosis.

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Article: Three bioactive components determination by TLC and HPLC for Compound Shanzha Granules
by  Yanwei Fu, Songgang Ji, Mingchun Li, Yan Ma, Yanqin Cheng
Cancer Cell Research 2015 2(6) 134-139; published online 22 January 2015
Abstract:  To establish the quality standard of compound Shanzha Granules. The chief components of the preparation, Crataegi Fructus and Cassiae Semen were identified by TLC. The contents of Autrantio-obtusin and Chrysophanol in Cassiae Semen were determined by HPLC. The separation was performed on Agilent SB-C18 (4.6×250mm, 5μm) with acetonitrile-0.1% phosphoric acid as mobile phase for gradient elution. The relevant spots on TLC plates were clear by the blank reference. The contents showed good linear, it is in the range of 0.0357~0.3570µg (r=0.9999) for Autrantio-obtusin and 0.0520~0.5200µg (r=0.9999) for Chrysophanol. The average recovery rate was 99.64% for Autrantio-obtusin and 100.18% for Chrysophanol. The established qualitative and quantitative methods are simple, accurate and reproducible, which can be used for the quality control of compound Shanzha Granules.

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Article: 3.0TMRI Diffusion Weighted Imaging in Assessing the Efficacy of Cervical Cancer Chemo-radiotherapy
by  Jia Yang, Weihua Feng, Hui Hua, Xianglong Shi, Qinglian Ji, Jingjing Chen
Cancer Cell Research 2015 2(6) 140-143; published online 26 January 2015
Abstract: To analyze DWI magnetic resonance imaging both anterior and posterior to cervical cancer chemotherapy and to explore the application of ADC and EADC values in predicting and monitoring the efficacy of cervical cancer chemotherapy. Perform conventional MR scanning and DWI on 52 cases of cervical cancer patients prior to chemotherapy and fifteen days, one month, and two months into chemotherapy. At different check points, measure ADC and EADC values and the maximum diameter of the tumor. Analyze differences in ADC and EADC values before and after chemotherapy. ADC changes take place earlier than morphological changes in tumor volume. ADC values are significantly higher than those before treatment while EADC values get lower. 2 months into the treatment, the reduction rate of the maximum tumor diameter is negatively correlated to ADC values before the treatment (r = -0.658, P <0.05). 15 days into the treatment, the mean ADC values increase (t = 11.119, p <0.05). EADC values decrease (t = -9.916, p <0.05). And the maximum tumor diameter shows no significant change from that before the treatment (t = -1.797, p> 0.05). ADC and EADC values before cervical cancer chemotherapy may help predict the efficacy of cancer treatment. ADC and EADC values during the treatment may contribute to early detection and dynamic observation of therapeutic effect.

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