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Tianhe, China

Xiao Y.,Tianhe Hospital | Zhang S.,Tianjin Medical University | Zhang S.,Key Laboratory of Breast Cancer Prevention and Therapy | Zhang S.,Key Laboratory of Cancer Prevention and Therapy | And 12 more authors.
Tumor Biology | Year: 2014

This study selected luminal-type breast cancer patients as the study subjects. The patients were divided into groups according to the presence of diabetes and the types of medication used, and the patients' clinicopathological characteristics and prognostic indicators were explored. A total of 5,785 patients with luminal-type breast cancer admitted to Tianjin Medical University Cancer Institute and Hospital between January 2002 and December 2006 were selected as the study subjects. The subjects included 680 breast cancer patients with diabetes and 5,105 breast cancer patients without diabetes. The patients were divided into Luminal A, Luminal B (high ki67), and Luminal B (her-2/neu+) subtypes. Each subtype was further divided into a metformin group, a non-metformin group, and a nondiabetic group. The research indicators included breast cancer mortality, age, body mass index (BMI), amenorrhea, the presence of cardiovascular and cerebrovascular disease, pathological stage, pathological type, lymph node involvement, vessel carcinoma embolus, and the chemotherapy and endocrine regimen. A Kaplan-Meier analysis was conducted to analyze the differences in breast cancer mortality rates among the groups. The Cox proportional hazard model was adopted to detect independent factors related to prognosis. Kaplan-Meier univariate analysis showed that for the Luminal A, Luminal B (high ki67), and Luminal B (her-2/neu+) subtypes, the cancer-specific mortality rates differed significantly among the metformin, non-metformin, and nondiabetic groups. The 5-year survival rates were 94 %, 82 %, and 91 % (P = 0.002); 93.5 %, 81 %, and 89 % (P < 0.001); and 84 %, 77 %, and 83 % (P = 0.035) for the subtypes within each group, respectively. Cox regression multivariate analysis showed that compared with the metformin group, all three subtypes of the, the non-metformin group showed poorer prognosis (hazard ratio [HR], 3.579; 95 % confidence interval [CI], 1.506-8.506 [P = 0.004]; HR, 3.232; 95 % CI, 1.839-5.678 [P < 0.001]; HR, 2.034; 95 % CI,1.019-4.059 [P = 0.044] for Luminal A, Luminal B (high ki67), and Luminal B (her-2/neu+, respectively). Compared with the metformin group, the diabetic group showed poorer prognosis only for the Luminal B (high ki67) subtype (HR, 1.762; 95 % CI, 1.033-3.005 [P = 0.038]). In addition, for the Luminal A, Luminal B (high ki67), and Luminal B (her-2/neu+) subgroups, there was a higher proportion of elderly patients (P < 0.001) and postmenopausal patients (P < 0.001) in the metformin and non-metformin groups than in the nondiabetic group. Moreover, the probability of having cardiovascular and cerebrovascular disease was also higher (P < 0.001) in the metformin and non-metformin groups. For the Luminal B (high ki67) and Luminal B (her-2/neu +) subgroups, there was a higher proportion of obese patients in the metformin and non-metformin groups (P < 0.001). In terms of clinical characteristics, for the Luminal B (high ki67) subtype, the proportion of patients with invasive ductal carcinoma was lower in the non-metformin group than in the other two groups (P = 0.001). In both the metformin and non-metformin groups, the proportion of T3/4 patients was higher (P < 0.001), the proportion of patients with lymph node metastasis was higher (P = 0.001), and the proportion of patients with vessel carcinoma embolus was higher (P = 0.001) compared with the nondiabetic group. In conclusion, compared with the metformin group, the non-metformin group had a poorer prognosis for all subtypes of luminal breast cancer. In the diabetic group, only patients with the Luminal B (high ki67) subtype exhibited a poorer prognosis. Therefore, different diabetes medication may have a different impact on the prognosis of different subtypes of luminal breast cancer. © 2013 International Society of Oncology and BioMarkers (ISOBM). Source


Zhang C.,Zhejiang University | Xu W.,Zhejiang University | Pan W.,Zhejiang University | Wang N.,Tianhe Hospital | And 5 more authors.
International Journal of Oncology | Year: 2013

It has been reported that suppression of selenium binding protein 1 (SBP1) occurs in many human malignancies which is considered to play an important role in cancer development and progression. Despite its importance in cancer, the function and factors that regulate its expression are not known. Using cell proliferation assays, immunochemical staining and immunoblotting and flow cytometry methods and in a xenograft model, we evaluated the role of SBP1 in proliferation, migration, senescence and chemoresistance of gastric cancer cells (SGC7901 and BGC823) to cisplatin. It was noted that diminished SBP1 expression increased gastric cancer cell proliferation and cell migration and decreased cisplatin-induced apoptosis while its overexpression produced the opposite effects. These results suggest that SBP1 plays a significant role in gastric cancer cell proliferation and modulates its response to anticancer drugs. These results suggest that SBP1 can serve as a potential target to suppress gastric cancer. Source


Zhao Z.,Tianhe Hospital | He J.,Tianhe Hospital | Zhang J.,Tianhe Hospital | Liu M.,Tianhe Hospital | And 3 more authors.
Tumor Biology | Year: 2014

Methods for detecting circulating microRNAs (miRNAs), small RNAs that control gene expression, at high sensitivity and specificity in the blood have been reported in recent studies. The goal of this study was to determine if detectable levels of specific miRNAs are released into the circulation for bevacizumab-induced cardiotoxicity. A miRNA array analysis was performed using RNA isolated from 10 control patients in bevacizumab treatment, and n=10 patients have been confirmed to have bevacizumab-induced cardiotoxicity. From the array, we selected 19 candidate miRNA for a second validation study in 90 controls and 88 patients with bevacizumab-induced cardiotoxicity. Consistent with the data obtained from the microRNA array, circulating levels of five miRNAs were significantly increased in patients with bevacizumab-induced cardiotoxicity compared with controls. To confirm these data, we compared selected miRNAs in the plasma of patients with bevacizumab-induced cardiotoxicity with those of 66 patients with acute myocardial infarction (AMI). Moreover, we went on to analyze what factors may influence the levels of potential biomarker miRNAs. Consistent with the data obtained from the microRNA array, circulating levels of five miRNAs were significantly increased in patients with bevacizumab-induced cardiotoxicity compared with those of healthy bevacizumab treatment controls. However, only miRNA1254 and miRNA579 showed high specificity in the validation experiments. Moreover, we went on to analyze what factors may influence the levels of potential biomarker miRNAs. We identify two miRNAs that are specifically elevated in patients with bevacizumab-induced cardiotoxicity, miR1254 and miRNA579, and miRNA1254 shows the strongest correlation to the clinical diagnosis of bevacizumab-induced cardiotoxicity. © 2014 International Society of Oncology and BioMarkers (ISOBM). Source

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