Current evidences on XPC polymorphisms and gastric cancer susceptibility: a meta-analysis

BACKGROUND: Reduced DNA repair capacities due to inherited polymorphisms may increase the susceptibility to cancers including gastric cancer. Previous studies investigating the association between Xeroderma Pigmentosum group C (XPC) gene polymorphisms and gastric cancer risk reported inconsistent results. We performed a meta-analysis to summarize the possible association. METHODS: All studies published up to January 2014 on the association between XPC polymorphisms and gastric cancer risk were identified by searching electronic databases PubMed, EMBASE, Cochrane library, and Chinese Biomedical Literature database (CBM). The association between XPC polymorphisms and gastric cancer risk was assessed by odds ratios (ORs) together with their 95% confidence intervals (CIs). RESULTS: Six studies with 1,355 gastric cancer cases and 2,573 controls were finally included in the meta-analysis. With respect to Lys939Gln polymorphism, we did not observe a significant association when all studies were pooled into the meta-analysis. When stratified by ethnicity, source of control, and study quality, statistical significant association was not detected in all subgroups. With respect to Ala499Val and PAT−/+polymorphisms, we also did not observe any significant association with gastric cancer risk in the pooled analysis. CONCLUSIONS: This meta-analysis based on current evidences suggested that the XPC polymorphisms (Lys939Gln, Val499Arg, and PAT−/+) did not contribute to gastric cancer risk. Considering the limited sample size and ethnicity included in the meta-analysis, further larger scaled and well-designed studies are needed to confirm our results. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/148588031255506

Monoclonal antibody-related drugs for cancer therapy

Much progress has been made during the last few decades in the treatment of malignancies. Many types of cancer cells comprising the tumor mass carry molecular markers that are not expressed or are expressed at much lower levels in normal cells. These findings provide new leads to drug design and development of therapeutic strategies involving monoclonal antibodies (mAbs) or related antibody drugs to treat malignancies. This article reviews recent advances in this targeting approach with a focus on the evolution and current use of prospective antibody drugs as effective ways to treat cancer. Additionally, the development of prospective antibody-drug conjugates will also be briefly described

Assessment of temperature effect on childhood hand, foot and mouth disease incidence (0–5 years) and associated effect modifiers: a 17 cities study in Shandong Province, China, 2007–2012

Background: Previous studies examining temperature-disease associations of hand, foot and mouth disease (HFMD) mainly focused on a single city. The results demonstrated great heterogeneity. A multi-city study is necessary to better understand temperature risk on the childhood incidence of HFMD and the associated modified factors. Objective: To assess the effect of ambient temperature on childhood HFMD incidence and explore the potential associated effect modifiers in the study area. Methods: Daily morbidity data and meteorological variables of the 17 cities were collected for the period from 2007 to 2012. Distributed lag non-linear model (DLNM) was used to estimate city-specific effects of temperature on HFMD incidence. A multivariate meta-analysis was then applied to pool the estimated city-specific effect. Potential effect modifiers were included in the multivariate meta-regression as meta-predictors. Results: A total of 504,017 childhood HFMD cases were included in the study. The high-incidence period of HFMD was detected in late spring and early summer (April to June). The temperature-disease associations of the 17 cities demonstrated great heterogeneity and the pooled exposure-response curve was an approximately inverted V-shape. Regional indicator, numbers of healthcare institution and annual household income were considered as associated modifiers. Conclusion: Our findings can provide a practical reference for the early warning and intervention strategies of HFMD. Different temperature-disease associations among different regions should be considered when formulating and optimizing public health policy

The efficacy and safety of oral microecological agents as add‐on therapy for atopic dermatitis: A systematic review and meta‐analysis of randomized clinical trials

Abstract Background Atopic dermatitis (AD) is a common skin disease that is hard to completely cure in a short time. Guidelines recommend the use of topical corticosteroids (TCS) as first‐line anti‐inflammatory therapy for AD, but long‐term use has significant side effects. Microecological agents (MA), including probiotics, prebiotics and synbiotics, have been widely reported as a potential adjunctive therapy of AD, but whether MA can contribute to AD treatment is currently controversial. Therefore, we conducted a systematic review and meta‐analysis to investigate whether MA as an add‐on therapy for AD has synergistic and attenuated effects and to further understand the role of MA in clinical interventions for AD. Methods We systematically searched Medline, Embase, Web of Science, Cochrane Library and PsycINFO databases up to Apr 11, 2023, and bibliographies were also manually searched, for potentially relevant studies regarding MA as additional therapy of AD. The Cochrane Risk of Bias Tool for assessing risk of bias was used to assess the quality of randomized controlled trials (RCTs). Two reviewers screened studies, extracted data, and evaluated the risk of bias independently. The primary outcomes (SCORAD scores and the number of adverse events) and the secondary outcomes (pruritus scores, the quality of life and the frequency of TCS) were extracted from each article. The data were combined and analyzed to quantify the safety and efficacy of the treatment. R (V4.4.3) software was used for data synthesis. The certainty of the evidence was evaluated with the Grade of Recommendation, Assessment, Development and Evaluation (GRADE) system. We also performed a trial sequential analysis to assess the reliability of the evidence. Results A total of 21 studies, including 1230 individuals, were identified, 20 of which met the eligibility criteria for the meta‐analysis. Our pooled meta‐analyses showed that compared with controls, oral MA as an add‐on therapy was associated with significantly lower SCORAD scores (MD = −5.30, 95% CI −8.50, −1.55, p  0.05). Conclusions This meta‐analysis showed that MA plus TCS could be an effective and safe treatment for patients with AD to relieve relevant symptoms, which might be used as an add‐on therapy in the treatment of AD. However, due to the limited number of studies, results should be interpreted with caution. Further studies with a larger sample size are needed to explore the optimal protocol of MA plus TCS

Detecting the association between meteorological factors and hand, foot, and mouth disease using spatial panel data models

Objectives: The aim of this study was to quantify the relationship between meteorological factors and the occurrence of hand, foot, and mouth disease (HFMD) among children in Shandong Province, China, at a county level, using spatial panel data models. Methods: Descriptive analysis was applied to describe the epidemic characteristics of HFMD from January 2008 to December 2012, and then a global autocorrelation statistic (Moran's I) was used to detect the spatial autocorrelation of HFMD in each year. Finally, spatial panel data models were performed to explore the association between the incidence of HFMD and meteorological factors. Results: Moran's I at the county level were high, from 0.30 to 0.45 (p < 0.001), indicating the existence of a high spatial autocorrelation on HFMD. Spatial panel data models are more appropriate to describe the data. Results showed that the incidences of HFMD in Shandong Province, China were significantly associated with average temperature, relative humidity, vapor pressure, and wind speed. Conclusions: Spatial panel data models are useful when longitudinal data with multiple units are available and spatial autocorrelation exists. The association found between HFMD and meteorological factors makes a contribution towards advancing knowledge with respect to the causality of HFMD and has policy implications for HFMD prevention and control