The local recurrence rate of phyllodes tumors of the breast varies widely among different subtypes, and distant metastasis is associated with poor survival. This study aimed to identify factors that are predictive of local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and overall survival (OS) in patients with phyllodes tumors of the breast. Clinical data of all patients with a phyllodes tumor of the breast (n = 192) treated at Sun Yat-sen University Cancer Center between March 1997 and December 2012 were reviewed. The Pearson χ2 test was used to investigate the relationship between clinical features of patients and histotypes of tumors. Univariate and multivariate Cox regression analyses were performed to identify factors that are predictive of LRFS, DMFS, and OS. In total, 31 (16.1%) patients developed local recurrence, and 12 (6.3%) developed distant metastasis. For the patients who developed local recurrence, the median age at the diagnosis of primary tumor was 33 years (range, 17-56 years), and the median size of primary tumor was 6.0 cm (range, 0.8-18 cm). For patients who developed distant metastasis, the median age at the diagnosis of primary tumor was 46 years (range, 24-68 years), and the median size of primary tumor was 5.0 cm (range, 0.8-18 cm). In univariate analysis, age, size, hemorrhage, and margin status were found to be predictive factors for LRFS (P = 0.009, 0.024, 0.004, and 0.001, respectively), whereas histotype, epithelial hyperplasia, margin status, and local recurrence were predictors of DMFS (P = 0.001, 0.007, 0.007, and < 0.001, respectively). In multivariate analysis, independent prognostic factors for LRFS included age [hazard ratio (HR) = 3.045, P = 0.005], tumor size (HR = 2.668, P = 0.013), histotype (HR = 1.715, P = 0.017), and margin status (HR = 4.530, P< 0.001). Histotype (DMFS: HR = 4.409, P = 0.002; OS: HR = 4.194, P = 0.003) and margin status (DMFS: HR = 2.581, P = 0.013; OS: HR = 2.507, P = 0.020) were independent predictors of both DMFS and OS. In this cohort, younger age, a larger tumor size, a higher tumor grade, and positive margins were associated with lower rates of LRFS. Histotype and margin status were found to be independent predictors of DMFS and OS.
Breast cancer research and treatment by different subtypes is an inevitable trend. We investigated the clinicopathologic features and outcomes of different breast cancer subtypes in Southern China. A total of 5809 patients with invasive ductal carcinomas were identified. Immunohistochemical (IHC) markers for estrogen receptor (ER), progesterone receptor (PR), Her2/neu, and Ki-67 proliferation index were used to classify cases into five molecular subtypes. Clinicopathologic characteristics and survival rates were analyzed retrospectively. Of all patients, 31.1% were luminal A subtype, 30.4% luminal B (high Ki-67), 13.1% luminal B (Her2/neu+), 9.0% Her2/neu and 16.5% triple negative subtype. Luminal B (high Ki-67) presented primarily in premenopausal patients with the lowest average age (43.0 years). Her2/neu positive tumors were more closely associated with aggressive features including increased tumor size, positive lymph node status and lymphvascular invasion (LVI). Triple negative subtype was characterized by poorer histologic grade. Her2/neu positive cases had presented the worst 5-year disease-free survival (DFS) and overall survival (OS). Multivariate analyses of OS and DFS suggested that there were different negative prognostic factors for the five subtypes. The benefit of the cyclophosphamide, methotrexate, and 5-fluorouracil (5FU) (CMF) regimen was equal to that of anthracycline-based and Taxane-based regimens for patients with luminal A subtype and triple negative subtype, but inferior to anthracycline-based and Taxane-based regimens for those with two luminal B subtypes and Her2/neu subtype. The prognostic significance of traditional markers may differ among subtypes. This study revealed the distinct clinicopathologic characteristics, systemic therapy benefits, prognostic factors and survival rate among different breast cancer subtypes.
The aim of this study was to analyze the prognostic value of EGFR expression for patients with triple-negative breast cancer (TNBC). Clinical data of these patients were collected and analyzed, and immunohistochemical staining for EGFR was performed on tissue microarrays of operable breast cancer from 287 patients with TNBC, who were treated at Sun Yat-sen University Cancer Center from January 1995 to December 2008. EGFR expression was found in 36.2% of the cases with TNBC. A significant correlation was found between EGFR expression and disease-free survival (DFS). Univariated analysis indicated that EGFR expression had a significant prognostic value in TNBC patients, whereas multivariate analysis indicated that EGFR was a significant independent prognostic factor of DFS (P = 0.011) in all patients. Our results suggested that EGFR was an independent prognostic factor of DFS in patients with TNBC. Therefore, EGFR could become a good therapeutic target in the treatment of TNBC.
Bilateral cancer was associated with shorter disease-free survival and overall survival than unilateral cancer. The prognosis of metachronous bilateral cancer, especially those diagnosed within 2 years after the first cancer was significantly worse than synchronous bilateral cancer.
Liver fibrosis assessment by biopsy and conventional staining scores is based on histopathological criteria. Variations in sample preparation and the use of semi-quantitative histopathological methods commonly result in discrepancies between medical centers. Thus, minor changes in liver fibrosis might be overlooked in multi-center clinical trials, leading to statistically non-significant data. Here, we developed a computer-assisted, fully automated, staining-free method for hepatitis B-related liver fibrosis assessment. In total, 175 liver biopsies were divided into training (n = 105) and verification (n = 70) cohorts. Collagen was observed using second harmonic generation (SHG) microscopy without prior staining, and hepatocyte morphology was recorded using two-photon excitation fluorescence (TPEF) microscopy. The training cohort was utilized to establish a quantification algorithm. Eleven of 19 computer-recognizable SHG/TPEF microscopic morphological features were significantly correlated with the ISHAK fibrosis stages (P < 0.001). A biphasic scoring method was applied, combining support vector machine and multivariate generalized linear models to assess the early and late stages of fibrosis, respectively, based on these parameters. The verification cohort was used to verify the scoring method, and the area under the receiver operating characteristic curve was >0.82 for liver cirrhosis detection. Since no subjective gradings are needed, interobserver discrepancies could be avoided using this fully automated method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.