No abstract available.
Endoderm*

Immunohistochemical study of gliomas was maed using the indirect Avidin-Biotin Complex(ABC) method in order to investigate the presence and patterns of distribution of GFAP, neurofilament, and S-100 protein in 37 cases of human gliomas. Generally, two immunostaining patterns were observed; perikaryal and diffuse fibrillary background staining. All of the glial tumor cases were stained positively for GFAP except for the 3 oligodendrogliomas. The S-100 protein was sensitive for all the glial tumors and for neurofilament, in about half of the cases. These observations support previous reports that GFAP is specific for astrocytes, and that S-100 protein is sensitive, but not specific for glial tumors. Furthermore, our data suggest that immunostaining patterns of G.M. is different from that of astrocytoma grad II and III.
Astrocytes ; Astrocytoma ; Glioma* ; Humans ; Immunohistochemistry ; Oligodendroglioma ; S100 Proteins*

PURPOSE: To decide the optimal treatment for breast cancer patients with locoregional recurrence (LRR), it is important to determine which group has the highest risk of subsequent distant metastasis (DM). We aimed to investigate the factors associated with DM in patients with LRR. METHODS: We reviewed the data of 208 patients with LRR as the first event after primary surgery for breast cancer at our institution between 1997 and 2010, to identify significant factors associated with DM. Subsequently, Kaplan-Meier curves and the Cox regression method were used to analyze the correlation between clinical factors and survival. RESULTS: DM occurred in 33.2% (68/208) of LRR patients. The median DM-free interval was 23 months. Some clinical factors were associated with DM in univariate analysis, including the type of primary surgery (p=0.026), tumor size (p=0.005), nodal status (p=0.011), and administration of initial adjuvant chemotherapy (p=0.001). In addition, regional rather than local recurrence and a disease-free interval (DFI; duration between primary surgery and LRR) < or =30 months were also significant (p<0.001 for both). However, only a shorter DFI reached significance in multiple logistic regression analysis. Cox regression analysis of DM-free survival showed that both a shorter DFI and regional recurrence were significant factors with hazard ratios of 2.1 (95% confidence interval [CI], 1.21-3.65) and 1.85 (95% CI, 1.04-3.28), respectively. CONCLUSION: DFI was the most important factor associated with subsequent DM in patients with LRR as a first event of failure.
Breast Neoplasms* ; Chemotherapy, Adjuvant ; Humans ; Logistic Models ; Neoplasm Metastasis* ; Neoplasm Recurrence, Local ; Prognosis ; Recurrence* ; Risk Factors*

PURPOSE: Previous studies examining the relationship between time to treatment and survival outcome in breast cancer have shown inconsistent results. The aim of this study was to analyze the overall impact of delay of treatment initiation on patient survival and to determine whether certain subgroups require more prompt initiation of treatment. MATERIALS AND METHODS: This study is a retrospective analysis of stage I-III patients who were treated in a single tertiary institution between 2005 and 2008. Kaplan-Meier survival analysis and Cox proportional hazards regression model were used to evaluate the impact of interval between diagnosis and treatment initiation in breast cancer and various subgroups. RESULTS: A total of 1,702 patients were included. Factors associated with longer delay of treatment initiation were diagnosis at another hospital, medical comorbidities, and procedures performed before admission for surgery. An interval between diagnosis and treatment initiation as a continuous variable or with a cutoff value of 15, 30, 45, and 60 days had no impact on disease-free survival (DFS). Subgroup analyses for hormone-responsiveness, triple-negative breast cancer, young age, clinical stage, and type of initial treatment showed no significant association between longer delay of treatment initiation and DFS. CONCLUSION: Our results show that an interval between diagnosis and treatment initiation of 60 days or shorter does not appear to adversely affect DFS in breast cancer.
Breast Neoplasms* ; Breast* ; Comorbidity ; Diagnosis ; Disease-Free Survival ; Humans ; Retrospective Studies ; Survival Rate ; Time-to-Treatment ; Triple Negative Breast Neoplasms

PURPOSE: An association between endocrine treatment-related symptoms and breast cancer recurrence has been suggested previously; however, conflicting results have been reported. We performed a meta-analysis of published studies to clarify this relationship. METHODS: We systematically searched PubMed, Embase, Scopus, and the Cochrane database for studies investigating the association between endocrine treatment-related symptoms and patient survival. Random-effects meta-analysis was conducted with recurrence rate as the primary outcome. RESULTS: Out of 7,713 retrieved articles, six studies were included. In patients who received endocrine treatment, the presence of any endocrine treatment-related symptom was found to be associated with a lower recurrence rate in comparison to an absence of any symptoms (hazard ratio [HR], 0.76; 95% confidence interval [CI], 0.66–0.87). This relationship persisted in patients presenting with only vasomotor or only musculoskeletal symptoms (HR, 0.74, 95% CI, 0.63–0.87; HR, 0.69, 95% CI, 0.55–0.86, respectively). At both time-points of symptom evaluation (3 months and 12 months), patients with endocrine treatment-related symptoms had a lower recurrence rate (HR, 0.74, 95% CI, 0.66–0.84; HR, 0.79, 95% CI, 0.69–0.90, respectively). This association was also significant in pooled studies including patients with and without baseline symptoms (HR, 0.73, 95% CI, 0.54–0.99; HR, 0.76, 95% CI, 0.69–0.85, respectively). CONCLUSION: Endocrine treatment-related symptoms are significantly predictive of lower recurrence rate in breast cancer patients, regardless of the type of symptoms, time-point of evaluation, or inclusion of baseline symptoms. These symptoms could be biomarkers for the prediction of long-term responses to endocrine treatment in patients with breast cancer.
Biomarkers ; Breast Neoplasms* ; Breast* ; Disease-Free Survival ; Drug-Related Side Effects and Adverse Reactions ; Humans ; Recurrence ; Symptom Assessment

PURPOSE: The American College of Surgeons Oncology Group Z0011 trial reported that complete dissection of axillary lymph nodes (ALNs) may not be warranted in women with clinical T1-T2 tumors and one or two involved ALNs who were undergoing lumpectomy plus radiation followed by systemic therapy. The present study was conducted to identify preoperative imaging predictors of ≥ 3 ALNs. MATERIALS AND METHODS: The training set consisted of 1,917 patients with clinical T1-T2 and node negative invasive breast cancer. Factors associated with ≥ 3 involved ALNs were evaluated by logistic regression analysis. The validation set consisted of 378 independent patients. The nomogram was applied prospectively to 512 patients who met the Z0011 criteria. RESULTS: Of the 1,917 patients, 204 (10.6%) had ≥ 3 positive nodes. Multivariate analysis showed that involvement of ≥ 3 nodes was significantly associated with ultrasonographic and chest computed tomography findings of suspicious ALNs (p < 0.001 each). These two imaging criteria, plus patient age, were used to develop a nomogram calculating the probability of involvement of ≥ 3 ALNs. The areas under the receiver operating characteristic curve of the nomogram were 0.852 (95% confidence interval [CI], 0.820 to 0.883) for the training set and 0.896 (95% CI, 0.836 to 0.957) for the validation set. Prospective application of the nomogram showed that 60 of 512 patients (11.7%) had scores above the cut-off. Application of the nomogram reduced operation time and cost, with a very low re-operation rate (1.6%). CONCLUSION: Patients likely to have ≥ 3 positive ALNs could be identified by preoperative imaging. The nomogram was helpful in selective intraoperative examination of sentinel lymph nodes.
Breast Neoplasms* ; Breast* ; Female ; Humans ; Logistic Models ; Lymph Nodes* ; Mastectomy, Segmental ; Multivariate Analysis ; Nomograms* ; Prospective Studies ; ROC Curve ; Surgeons ; Thorax