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Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.
Authors: Zhu, Shengjie | Shao, Bin | Hao, Yaoyao | Li, Zongxian | Liu, Houqiang | Li, Hong | Wang, Ming | Wang, Kai
Article Type: Research Article
Abstract: Background: Ghrelin was associated with several of cancers. The conflict results of SNPs with GHRL and GHSR gene were demonstrated in different studies. Thus, this meta-analysis is to evaluate the associations. Methods: Systematic literature search was done on PubMed database up to October 2013. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association by a fixed-effect model and a random-effect model. Results: A total of 7 studies, which included 3 studies for breast cancer, 2 for colorectal cancer, 1 for hepatocellular carcinoma, 1 for esophageal cancer and 1 …for Non-Hodgkin lymphoma. When analyzed all the GHRL SNPs with all kinds of cancers, there was significantly difference with cancer patients compared with controls (Recessive model: OR 0.938, 95% CI 0.890–0.989, p=0.017), while no significant difference was existed in the additive model (OR 0.9903, 95% CI 0.957–1.024, p=0.558) and dominant model (OR 1.014, 95% CI 0.970–1.061, p=0.536). When analyzed all the GHSR SNPs with all kinds of cancers, no significant difference was observed. Conclusion: Our results suggest that the SNP with GHRL and GHSR might be weaker association with cancer risk, especially with breast cancer risk. Show more
Keywords: GHRL, GHSR, cancer, meta-analysis
DOI: 10.3233/CBM-140441
Citation: Cancer Biomarkers, vol. 15, no. 1, pp. 89-97, 2015
Authors: Kilar, Ewa | Gworys, Bohdan | Skiba, Teresa | Gburek, Jakub | Gołąb, Krzysztof | Janocha, Anna | Siewiński, Maciej
Article Type: Research Article
Abstract: Background: Complement information about the share the role of antipapain activity in serum people with breast cancer. Objective: We measured the activity of cysteine peptidase inhibitors in the sera of 150 patients with breast cancer. Patients were divided into four groups depending on the cancer type and treatment method. We also analysed the control group. The activity of cysteine peptidase inhibitors was defined as a ’defensiveness’ marker. Methods: The activity of cysteine peptidase inhibitors was measured against papain using the colorimetric method and the BANA substrate. Results: The highest activity of enzymes was found …in the group of patients with BC and hereditary predisposition to it, and the lowest activity was found in patients after surgical treatment. Conclusion: The activity of cysteine peptidase inhibitors in serum was measured against papain. We found that the activity levels were correlated with the cancer stage and treatment method. The lowest activity was found in patients after surgical treatment; the highest in women with active cancer and a hereditary predisposition to it. Show more
Keywords: Breast cancer, antipapain activity
DOI: 10.3233/CBM-140435
Citation: Cancer Biomarkers, vol. 15, no. 1, pp. 99-102, 2015
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