E-cadherin在涎腺粘液表皮样癌的表达及其与浸润转移的关系

目的:细胞粘附功能下降是恶性肿瘤发展的关键因素,为探讨E-cadherin在涎腺粘液表皮样癌发病机制中的作用,我们研究了E-cadherin在涎腺粘液表皮样癌的表达情况,并分析其与临床病理特征的关系。方法:采用免疫组织化学S-P法对46例涎腺粘液表皮样癌进行E-cadherin的检测。结果:E-cadherin在涎腺粘液表皮样癌中的表达强弱与癌组织的分化程度及淋巴结转移有关(P<0.05),而与患者的性别、年龄无关(P>0.05)。结论:E-cadherin表达与涎腺粘液表皮样癌的浸润转移有关,可作为一种新的肿瘤标志物,其表达对判断预后有一定的价值。     

Knockdown of OLA1, a regulator of oxidative stress response, inhibits motility and invasion of breast cancer cells

To explore the role of a novel Obg-like ATPase 1 (OLA1) in cancer metastasis, small interference RNA (siRNA) was used to knockdown the protein, and the cells were subjected to in vitro cell migration and invasion assays. Knockdown of OLA1 significantly inhibited cell migration and invasion in breast cancer cell line MDA-MB-231. The knockdown caused no changes in cell growth but affected ROS production. In wound-healing assays, decreased ROS in OLA1-knockdown cells were in situ asso-ciated with the cells' decreased motile morphology. Further, treatment of N-acetylcysteine, a general ROS scavenger, blunted the motility and invasiveness of MDA-MB-231 cells, similar to the effect of OLA1-knockdown. These results suggest that knock-down of OLA1 inhibits breast cancer cell migration and invasion through a mechanism that involves the modulation of intracel-lular ROS levels.     

Communication Efficacy and Couples' Cancer Management: Applying a Dyadic Appraisal Model

The purpose of the present study was to apply Berg and Upchurch's (2007) developmental-conceptual model to understand better how couples cope with cancer. Specifically, we hypothesized a dyadic appraisal model in which proximal factors (relational quality), dyadic appraisal (prognosis uncertainty), and dyadic coping (communication efficacy) predicted adjustment (cancer management). The study was cross-sectional and included 83 dyads in which one partner had been diagnosed with and/or treated for cancer. For both patients and partners, multilevel analyses using the actor-partner interdependence model (APIM) indicated that proximal contextual factors predicted dyadic appraisal and dyadic coping. Dyadic appraisal predicted dyadic coping, which then predicted dyadic adjustment. Patients' confidence in their ability to talk about the cancer predicted their own cancer management. Partners' confidence predicted their own and the patient's ability to cope with cancer, which then predicted patients' perceptions of their general health. Implications and future research are discussed.     

Social support within an on-line cancer community: an assessment of emotional support,perceptions of advantages and disadvantages,and motives for using the community from a communication perspective

This study investigated an on-line cancer support community emphasizing communication concerns important to the community administrators. The researcher conducted an on-line survey of participants (N v = v 103) focused on their on-line communication activities and social support. The results indicate a modest negative correlation between emotional support received on-line and perceived stress, differences in emotional support scores based on perceptions of disadvantages of on-line support groups, and different motives for using the community between people with cancer and family members. The study also describes suggestions based on the results that were made to community administrators and which could be used by other on-line support communities.     

Young Breast Cancer Survivors’ Experiences of Uncertainty

Evidence indicates recent increases in breast cancer diagnoses among young women. Research also suggests that younger women diagnosed with breast cancer may experience more psychological distress than older women. In-depth interviews with 25 breast cancer survivors age 40 and under were conducted to explore the uncertainties young women face throughout survivorship. Results indicate that young women experience unique sources of uncertainty and that communication may facilitate or hinder the management of uncertainty across the survivorship trajectory. Implications of these findings for theorizing on uncertainty, healthcare providers’ interactions with young women, and social networks’ communication with survivors are discussed. These data also have important implications for the practical treatment of young breast cancer survivors and applied, communicative recommendations for providers are proposed.     

Disclosure of a Cancer Diagnosis in Organizational Peer Relationships

The purpose of this study was to explore types of message content received by peers of cancer survivors (N = 126) during cancer disclosure in the workplace. Coworkers reported cancer disclosure interactions with female (65.5%) and male (34.5%) cancer patients. Based on organizational peer types reported in the literature, coworkers reported differences in specific message content received by informational (36.5%), collegial (52.3%), and special peers (11.1%). Coworker relationships were also examined for perceived interpersonal solidarity based on peer type. Results reveal that messages with a treatment focus were most common with all peer types, followed by nondisclosure. Nondisclosure of a cancer diagnosis between coworkers reinforces cancer patients' needs for privacy boundaries, even within close workplace relationships. Of the three peer types, special peers had the most perceived interpersonal solidarity after a cancer disclosure.     

Genetic Variant XRCC1 rs1799782 (C194T) and Risk of Cancer Susceptibility in Indian Population: A Meta-analysis of Case–Control Studies

X-ray repair cross-complementing group 1 (XRCC1) plays a key role in the base excision repair pathway, as a scaffold protein that brings together proteins of the DNA repair complex. Several studies have reported contradictory results for XRCC1 exon 6 C>T (rs1799782) gene polymorphism and cancer risk in Indian population has provided inconsistent results. Therefore, we have performed this meta-analysis to evaluate the relationship between XRCC1 exon 6 C>T gene polymorphism and risk of cancer by published studies. We searched PubMed and Google scholar web databases to cover all studies published on association between XRCC1 exon 6 C>T gene polymorphism and cancer risk. The meta-analysis was carried out and pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to appraise the strength of association. In order to derive a more precise estimation of the association, A total of 3197 confirmed cancer cases and 3819 controls were included from eligible seventeen case-controls studies. Results from overall pooled analysis demonstrated suggested that that variant allele (T vs. C: OR 1.301, 95% CI 1.003–1.688, p = 0.047) was associated with the risk of overall cancer. Other genetic models; heterozygous (TC vs. CC: OR 1.108, 95% CI 0.827–1.485, p = 0.491), homozygous (TT vs. CC: OR 1.479, 95% CI 0.877–2.493, p = 0.142), dominant (TT+TC vs. CC: OR 1.228, 95% CI 0.899–1.677, p = 0.196) and recessive (TT vs. TC+CC: OR 1.436, 95% CI 0.970–2.125, p = 0.071) did not reveal statistical association. Publication bias observation was also considered and none was detected during the analysis. The present meta-analysis suggested that the variant allele T of XRCC1 exon 6 gene polymorphism was associated with the risk of cancer. It is therefore pertinent to confirm this finding in a large sample size to divulge the mechanism of this polymorphism and cancer risk in Indian population.     

腹腔镜辅助进展期胃癌根治术的临床体会

目的：探讨进展期胃癌行腹腔镜辅助手术的安全性和可行性并评价临床近期疗效。方法：选择2011年1月至2013年6月30例进展期胃癌患者行腹腔镜辅助胃癌根治术患者（腹腔镜组）,与同期28例行传统开腹胃癌根治手术的患者（开腹组）比较两组患者的手术时间、出血量、清扫淋巴结数目、术后胃肠道功能恢复情况、并发症发生率、住院平均时间等情况。结果：腹腔镜组手术时间长于开腹组,两组间差异有统计学意义（t=4.635,P〈0.05）;腹腔镜组术中出血量、肛门首次排气时间、术后住院时间明显优于开腹组;腹腔镜组淋巴结清扫数量为（25.5±8.5）枚,开腹组为（20.6±7.8）枚,两组比较差异无统计学意义（P〉0.05）。腹腔镜组术后并发症发生率（6.7%）及死亡率（0）均低于开腹组,但差异无统计学意义。患者随访时间6个月,两组患者总体生存率差异无统计学意义（P〉0.05）。结论：腹腔镜辅助进展期胃癌根治术不仅创伤小,恢复快,具有安全性,而且能够达到与开腹手术相同的根治水平,其近期生存率与传统开腹手术无差别。     

Mechanisms of inherited cancer susceptibility

A small proportion of many cancers are due to inherited mutations in genes, which result in a high risk to the individual of developing specific cancers. There are several classes of genes that may be involved: tumour suppressor genes, oncogenes, genes encoding proteins involved in DNA repair and cell cycle control, and genes involved in stimulating the angiogenic pathway. Alterations in susceptibility to cancer may also be due to variations in genes involved in carcinogen metabolism. This review discusses examples of some of these genes and the associated clinical conditions caused by the inheritance of mutations in such genes.     

A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform

Objective: To develop a new bioinformatic tool based on a data-mining approach for extraction of the most infor-mative proteins that could be used to fred the potential biomarkers for the detection of cancer. Methods: Two independent datasets from serum samples of 253 ovarian cancer and 167 breast cancer patients were used. The samples were examined by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The datasets were used to extract the informative proteins using a data-mining method in the discrete stationary wavelet transform domain. As a dimensionality re-duction procedure, the hard threshoiding method was applied to reduce the number of wavelet coefficients. Also, a distance measure was used to select the most discriminative coefficients. To find the potential biomarkers using the selected wavelet coefficients, we applied the inverse discrete stationary wavelet transform combined with a two-sided t-test. Results: From the ovarian cancer dataset, a set of five proteins were detected as potential biomarkers that could be used to identify the cancer patients from the healthy cases with accuracy, sensitivity, and specificity of 100%. Also, from the breast cancer dataset, a set of eight proteins were found as the potential biomarkers that could separate the healthy cases from the cancer patients with accuracy of 98.26%, sensitivity of 100%, and specificity of 95.6%. Conclusion: The results have shown that the new bioinformatic tool can be used in combination with the high-throughput proteomic data such as SELDI-TOF MS to find the potential biomarkers with high discriminative power.