The prognostic value of pretreatment tumor apparent diffusion coefficient values in nasopharyngeal carcinoma.

BACKGROUND: Diffusion-weighted MR imaging (DWI) has increasingly contributed to the management of nasopharyngeal carcinoma (NPC) patients. The objective of this paper was to explore the prognostic significance of apparent diffusion coefficient (ADC) values in 93 NPC patients. METHODS: This retrospective study included 93 newly diagnosed NPC patients. Pretreatment ADC values were determined and compared with patients' age, gender, alcohol intake, smoking, tumor volume, pathological type, tumor stage, and nodal stage. Using the Kaplan-Meier method, overall survival (OS), local relapse-free survival (LRFS), and distant metastasis-free survival (DMFS) were calculated and the values compared between the low and high ADC groups. Multivariate analysis of ADC values and other 9 clinical parameters was performed using a Cox proportional hazards model to test the independent significance for OS, LRFS and DMFS. RESULTS: The mean ADC value for the initial nasopharyngeal tumors was 0.72 × 10-3 mm2/s (range: 0.48-0.97 × 10-3 mm2/s). There was no significant difference between pretreatment ADCs and patient' gender, age, smoking, alcohol intake, or tumor stage. A significant difference in the ADCs for different N stages (P = 0.022) and correlation with initial tumor volume (r = -0.26, P = 0.012) were observed. In comparison, the ADC value for undifferentiated carcinoma was lower than that for other 3 pathological types. With a median follow-up period of 50 months, the 3-year and 5-year OS rates were 88.2% and 83.3%, respectively, 3-year and 5-year LRFS rates were 93.5% and 93.3%, respectively, and 3-year and 5-year DMFS rates were 83.9% and 83.3%, respectively. Patients with tumor ADC values ≥0.72 × 10-3 mm2/s exhibited longer OS and LRFS periods compared with tumor ADC values <0.72 × 10-3 mm2/s, with P values 0.036 and 0.018, respectively. In addition, patients with deaths or recurrences or distant metastasis had significant lower ADC values than those without disease failures. According to a multivariate analysis using the Cox proportional hazard test, ADC values showed a significant correlation with OS (P = 0.0004), LRFS (P = 0.0009), and DMFS (P < 0.0001), respectively. CONCLUSIONS: Pretreatment tumor ADC values supposed to be a noninvasive important prognostic parameter for NPC.

Association between ERCC2 polymorphisms and glioma risk: a meta-analysis.

ERCC2 is an essential component of the nucleotide excision repair pathway which is involved in the effective maintenance of genome integrity. Association studies on ERCC2 polymorphisms and glioma risk have yielded inconclusive results. This meta-analysis was performed to gain a better insight into the relationship between ERCC2 polymorphisms and glioma risk. A systematic literature search updated to December 2, 2013 was performed in the Pubmed and EMBASE databases. Crude pooled odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were used to estimate the association between ERCC2 polymorphisms and glioma risk under a suitable effect model according to heterogeneity. All analyses were performed using Review Manager 5 (version 5.2) and STATA (version 12.0). The combined results demonstrated rs13181 to be significantly associated with glioma risk (G allele versus T allele: OR=1.15, 95% CI=1.05-1.26, P=0.002; dominant model: OR=1.22, 95% CI=1.07-1.39, P=0.002; recessive model: OR=1.18, 95% CI=0.98-1.41, P=0.070). We also found that rs13181 acts in an allele dose-dependent manner (GG versus TT: OR=1.30, 95% CI=1.07-1.57, P=0.009; TG versus TT: OR=1.20, 95%=CI 1.05-1.37, P=0.009; trend test, P=0.004). However, no evidence was found in analyses for the association between other 3 ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) and susceptibility to glioma development. Our meta-analysis suggests that rs13181 is significantly associated with glioma risk in an allele dose-dependent manner, whereas, 3 other ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) may have no influence.

Association between the TP53 polymorphisms and lung cancer risk: a meta-analysis.

The previous published data on the association between TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk remained controversial. This meta-analysis of literatures was performed to derive a more precise estimation of the relationship. 38 publications with 51 studies were selected for this meta-analysis, including 17,337 cases and 16,127 controls for TP53 codon 72 (from 43 studies), 2,201 cases and 2,399 controls for TP53 intron 6 (from four studies), and 4,322 cases and 4,558 controls for TP53 intron 3 16 bp (from four studies). When all the eligible studies were pooled into the meta-analysis of codon 72 polymorphism, there was significant association between lung cancer risk and codon 72 polymorphism in any genetic model (dominant model: OR = 1.13, 95 % CI 1.05-1.21; recessive model: OR = 1.14, 95 % CI 1.02-1.27; additive model: OR = 1.19, 95 % CI 1.05-1.33). In the subgroup analysis by ethnicity, histological type, source of control, and smoking status, significantly increased risks were observed in subgroups such as Asians, Caucasians, lung squamous cell carcinoma patients for Asians, population-based study, hospital-based study, non-smokers, and smokers. When all the eligible studies were pooled into the meta-analysis of intron 6 polymorphism, there was significant association between lung cancer risk and intron 6 polymorphism in dominant model (OR = 1.27, 95 % CI 1.11-1.44). When all the eligible studies were pooled into the meta-analysis of intron 3 16 bp polymorphism, there was significant association between lung cancer risk and intron 3 16 bp polymorphism in dominant model (OR = 1.12, 95 % CI 1.02-1.23) and additive model (OR = 1.41, 95 % CI 1.04-1.90). Additionally, when one study was deleted in the sensitive analysis, the results of TP53 intron 3 16 bp duplication polymorphism were changed in the dominant model (OR = 1.11, 95 % CI 0.87-1.42) and additive model (OR = 1.01, 95 % CI 0.65-1.56). In summary, this meta-analysis indicates that codon 72 and intron 6 polymorphisms show an increased lung cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk.

Hemorrhage of brain metastasis from non-small cell lung cancer post gefitinib therapy: two case reports and review of the literature.

BACKGROUND: Gefitinib is one of the small molecule inhibitors of epidermal growth factor receptor tyrosine kinase (EGFR TKIs). Clinical trials have demonstrated it is effective for treatment of a subset of patients with advanced non-small cell lung cancer (NSCLC). Gefitinib has been generally considered to be a relatively safe agent. Besides a small proportion of fatal interstitial pneumonia, the common adverse drug reactions of gefitinib include diarrhea and skin rash, which are generally mild and reversible. Herein, we report the first two cases of brain metastasis hemorrhage that might be involved with the use of gefitinib. CASE PRESENTATION: Two patients with brain metastasis from NSCLC developed brain hemorrhage after gefitinib therapy. The hemorrhage in one case occurred one month after gefitinib combined with whole brain radiation therapy (WBRT), and in the another case hemorrhage developed slowly within brain metastases eight months post gefitinib monotherapy for diffuse pulmonary metastasis from a lung cancer undergone surgical removal previously. CONCLUSION: We speculate brain hemorrhage could be one of the adverse drug reactions of gefitinib treatment for NSCLC and suggest clinicians be aware of this possible rare entity. More data are needed to confirm our findings, especially when gefitinib is used in the settings of brain metastases from NSCLC or other origins.