Use of transoral CO2 laser microsurgery for treatment of cancerous neoplasms of the larynx in Vietnam
Vimentin is not a reliable prognostic biomarker for cervical cancer
Correlation analysis between an IL-6 genetic polymorphism and non-small cell lung cancer prognosis
Prognostic significance of long non-coding RNA MALAT-1 in various human carcinomas: a meta-analysis
The long non-coding RNA MALAT-1 plays an important role in cancer prognosis. The present research aimed to elucidate its precise predictive value in various human carcinomas. A quantitative meta-analysis was performed by searching PubMed, Embase, Web of Science, and Cochrane Library (most recently, January 2015) databases, and extracting data from studies that investigated the association between MALAT-1 expression and survival outcomes in patients of various cancers. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated as a measure of generalized effect.
Interferon-α-2b as an adjuvant therapy prolongs survival of patients with previously resected oral muscosal melanoma
Two major subtypes of melanoma include cutaneous melanoma and mucosal melanoma. The latter type is rare and usually occurs in the head and neck region. High-dose interferon-α-2b (IFN-α-2b) has proven effective in the treatment of cutaneous melanoma. Recently, a regimen of temozolomide plus cisplatin was reported more likely to improve relapse-free survival and overall survival than high-dose IFN-α-2b for mucosal melanoma. We conducted this study to analyze the therapeutic effect of high-dose IFN-α-2b for patients with oral mucosal melanoma who had received prior chemotherapy.
Correlation of miR-494 expression with tumor progression and patient survival in pancreatic cancer
MicroRNA-494 (miR-494) expression is aberrant in various types of human cancer. However, the prognostic value of miR-494 in pancreatic cancer remains unclear. The level of miR-494 expression was determined in 99 pairs of primary pancreatic cancer and their corresponding, adjacent non-tumor tissues by using quantitative reverse transcriptase polymerase chain reaction. We also analyzed the associations between miR-494 expression and clinicopathological features. The survival correlations were analyzed by using the Kaplan-Meier method and Cox proportional hazards model.