基于TCGA 数据库卵巢癌患者的miR-301b 表达量与生存状况生物信息学分析

目的 研究肿瘤基因图谱（the cancer genome atlas，TCGA）数据库中microRNA-301b（miR-301b）在478 例卵巢癌患者中的表达量与卵巢癌患者生存状况的关系。方法 对TCGA 数据库中478 例卵巢癌患者的miR-301b 表达量与生存状况进行分析，预测其靶基因及生物学活性。结果 miR-301b 高表达患者具有更长的生存时间, 是卵巢癌患者预后的保护因素（OS:P<0.001, DFS:P<0.05），综合3 个靶基因数据库的预测结果得到12 个靶基因，编码的蛋白多数与肿瘤的发生发展有关，其中靶基因TEA 结构域家族成员1（TEA domain family member 1，TEAD1） 与胞质多糖基化元件结合蛋白4(cytoplasmic polyadenylation element binding protein 4, CPEB4)的表达量与卵巢癌患者的预后相关（TEAD1:P<0.05，CPEB4:P<0.05）。结论 miR-301b 表达对卵巢癌患者的预后具有重要的意义，表现出抑癌因子的作用，对卵巢癌的预后评估和治疗具有重要的指导意义。     

山东济宁某医院门诊患者幽门螺杆菌感染检测分析

目的探讨分析山东济宁地区自然人群幽门螺杆菌的流行病学特征,为防治提供参考。方法于2012-05/2013-05采集山东济宁市第一人民医院胃镜室就诊患者580例,采用14C-UBT检测法与血清幽门螺杆菌Ig G抗体ELISA法对所有研究对象的幽门螺杆菌感染情况进行检测,并结合相关问卷调查,分析其流行病学特征。结果该医院门诊患者幽门螺杆菌总感染率45.2%,其中男性感染率59.5%,女性感染率40.5%,不同性别感染幽门螺杆菌感染阳性率差异比较无统计学意义(P0.05);各年龄段幽门螺杆菌的感染率从31.4%~53.1%不等,农民、商人及工人幽门螺杆菌感染率分别为78.6%、70.7%、68.8%,高于其他职业,差异有统计学意义(P0.05),但各年龄段间幽门螺杆菌感染率的差异比较无统计学意义(P0.05)。幽门螺杆菌感染与吸烟、饮酒、家庭收入无关,差异无统计学意义(均P0.05),与个人饮食卫生习惯、家庭教育程度及职业有关,差异有统计学意义(P0.05)。结论山东济宁市某医院门诊患者幽门螺杆菌总感染率较高,其感染率与职业、个人及家庭生活习惯等有关。     

The primary health care physician and the cancer patient: tips and strategies for managing sexual health

There is a large and growing population of long-term cancer survivors. Primary care physicians (PCPs) are playing an increasingly greater role in the care of these patients across the continuum of cancer survivorship. In this role, PCPs are faced with the responsibility of managing a range of medical and psychosocial late effects of cancer treatment. In particular, the sexual side effects of treatment which are common and have significant impact on quality of life for the cancer survivor, often go unaddressed. This is an area of clinical care and research that has received increasing attention, highlighted by the presentation of this special issue on Cancer and Sexual Health. The aims of this review are 3-fold. First, we seek to overview common presentations of sexual dysfunction related to major cancer diagnoses in order to give the PCP a sense of the medical issues that the survivor may present with. Barriers to communication about sexual health issues between patient/PCPs in order are also described in order to emphasize the importance of PCPs initiating this important conversation. Next, we provide strategies and resources to help guide the PCP in the management of sexual dysfunction in cancer survivors. Finally, we discuss case examples of survivorship sexual health issues and highlight the role that a PCP can play in each of these case examples.     

Binding mode of conformations and structure-based pharmacophore development for farnesyltransferase inhibitors

Farnesyltransferase (FTase) is one of the prenyltransferase family enzymes that catalyse the transfer of 15-membered isoprenoid (farnesyl) moiety to the cysteine of CAAX motif-containing proteins including Rho and Ras family of G proteins. Inhibitors of FTase act as drugs for cancer, malaria, progeria and other diseases. In the present investigation, we have developed two structure-based pharmacophore models from protein–ligand complex (3E33 and 3E37) obtained from the protein data bank. Molecular dynamics (MD) simulations were performed on the complexes, and different conformers of the same complex were generated. These conformers were undergone protein–ligand interaction fingerprint (PLIF) analysis, and the fingerprint bits have been used for structure-based pharmacophore model development. The PLIF results showed that Lys164, Tyr166, TrpB106 and TyrB361 are the major interacting residues in both the complexes. The RMSD and RMSF analyses on the MD-simulated systems showed that the absence of FPP in the complex 3E37 has significant effect in the conformational changes of the ligands. During this conformational change, some interactions between the protein and the ligands are lost, but regained after some simulations (after 2 ns). The structure-based pharmacophore models showed that the hydrophobic and acceptor contours are predominantly present in the models. The pharmacophore models were validated using reference compounds, which significantly identified as HITs with smaller RMSD values. The developed structure-based pharmacophore models are significant, and the methodology used in this study is novel from the existing methods (the original X-ray crystallographic coordination of the ligands is used for the model building). In our study, along with the original coordination of the ligand, different conformers of the same complex (protein–ligand) are used. It concluded that the developed methodology is significant for the virtual screening of novel molecules on different targets.