Background:Non-Hodgkin lymphoma is the fourth most common malignant tumors in children, Burkitt lymphoma (BL) accounts for 30–50% of all pediatric lymphomas. The aim of this study was to investigate the clinicopathologic features, immunophenotype, Epstein-Barr virus (EBV) infection and c-myc gene rearrangement of sporadic BL in children.Methods:Ninety-two cases of pediatric BL were retrospectively analyzed for clinical features, immunohistochemistry, EBV-encoded RNA (EBER) status by in situ hybridization and c-myc gene rearrangement by fluorescence in situ hybridization.Results:In the 92 cases, male is predominant in sex distribution (M: F = 3.38:1). The average age at diagnosis was 4.97 years. Polypoid BL showed a lower clinical stage (P = 0.002), and advanced clinical stage and low serum albumin level at diagnosis were associated with poor outcome (P = 0.024 and 0.053, respectively). The positive expression of CDl0, B-cell lymphoma-6, MUMl and EBER were 95.7% (88 cases), 92.4% (85 cases), 22.8% (21 cases), 41.3% (38 cases), respectively. The expression of MUM1 were not associated with EBV infection status (P = 1.000). c-myc gene rearrangement was detected in 94.6% (87/92). Clinical treatment information for 54 cases was collected, 21 patients died of tumor after surgery alone, 33 patients received surgery and chemotherapy, and of which six patients died shortly afterwords (MUM1 positive expression in 3 cases, P = 0.076).Conclusions:The anatomical location, growth pattern and serum albumin level of BL were associated with biological behavior. MUM1 may be a potential adverse prognostic marker, and not associated with EBV infection status.
Objective: To investigate clinical evidence for defining the indications of prophylactic level IB radiotherapy in nasopharyngeal carcinoma (NPC).
Methods: We conducted a phase 2 prospective study in 116 newly diagnosed patients with NPC treated by intensity-modulated radiotherapy (IMRT). Whether level IB was irradiated based on the risk score model (RSM). Two groups based on RSM were obtained: low risk and high risk. Omission of level IB irradiation was conducted in low risk group, otherwise level IB was contoured as part of the treatment target. Grade 2 or worse xerostomia at 12 months was assessed by the European Organization for Research and Treatment of Cancer (EORTC) QLQ-H&N35 questionnaire.
Results: At a median follow-up of 16months (range, 1-26 months). None patients developed failures at level IB. The 1-year overall survival (OS), locoregional recurrence-free survival (LRRFS) and distant metastasis-free survival (DMFS) rates were 98.3%, 97.2% and 95.8%, respectively. At 12 months xerostomia side-effects were reported 90 of 126 alive patients, grade 2 or worse xerostomia at 12 months was significantly lower in the low risk group than in the high risk group.
Conclusion: Omission of level IB irradiation was feasible for patients with low-risk IB lymph nodes metastasis.
The early symptoms of lung adenocarcinoma patients are inapparent, and the clinical diagnosis of lung adenocarcinoma is primarily through X-ray examination and pathological section examination, whereas the discovery of biomarkers points out another direction for the diagnosis of lung adenocarcinoma with the development of bioinformatics technology. However, it is not accurate and trustworthy to diagnose lung adenocarcinoma due to omics data with high-dimension and low-sample size (HDLSS) features or biomarkers produced by utilizing only single omics data. To address the above problems, the feature selection methods of biological analysis are used to reduce the dimension of gene expression data (GSE19188) and DNA methylation data (GSE139032, GSE49996). In addition, the Cartesian product method is used to expand the sample set and integrate gene expression data and DNA methylation data. The classification is built by using a deep neural network and is evaluated on K-fold cross validation. Moreover, gene ontology analysis and literature retrieving are used to analyze the biological relevance of selected genes, TCGA database is used for survival analysis of these potential genes through Kaplan-Meier estimates to discover the detailed molecular mechanism of lung adenocarcinoma. Survival analysis shows that COL5A2 and SERPINB5 are significant for identifying lung adenocarcinoma and are considered biomarkers of lung adenocarcinoma.
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