Association of ABO and Rh blood groups with breast cancer

ObjectivesThe aim of this study was to determine the association of “ABO” and “Rhesus” blood groups with incidence of breast cancer.MethodsIn this study, we identified 70 research documents from data based search engines including “PubMed”, “ISI-Web of Knowledge”, “Embase” and “Google Scholar”. The research papers were selected by using the primary key-terms including “ABO blood type”, “Rhesus” blood type and “breast cancer”. The research documents in which “ABO” and “Rhesus” blood types and breast cancer was debated were included. After screening, we reviewed 32 papers and finally we selected 25 research papers which met the inclusion criteria and remaining documents were excluded.ResultsBlood group “A” has high incidence of breast cancer (45.88%), blood group “O” has (31.69%); “B” (16.16%) and blood group “AB” has (6.27%) incidence of breast cancer. Blood group “A” has highest and blood group “AB” has least association with breast cancer. Furthermore, “Rhesus +ve” blood group has high incidence of breast cancer (88.31%) and “Rhesus –ve” blood group has least association with breast cancer (11.68%).ConclusionBlood group “A” and “Rhesus +ve” have high risk of breast cancer, while blood type “AB” and “Rhesus –ve” are at low peril of breast cancer. Physicians should carefully monitor the females with blood group “A” and “Rh +ve” as these females are more prone to develop breast cancer. To reduce breast cancer incidence and its burden, preventive and screening programs for breast cancer especially in young women are highly recommended.     

人桥本甲状腺炎甲状腺组织中miRNAs表达谱的差异性分析

目的：桥本甲状腺炎是一种自身免疫性甲状腺疾病，且其发病率呈逐年上升趋势，在医疗实践中，HT 被认为是原发性甲状腺 功能减退最常见的原因，同时较易发生甲状腺癌和淋巴瘤。另外，HT 缺乏早期诊断标准，临床上发病隐匿且表现多样，病人多不 易察觉而延误治疗。本文旨在应用microRNA 芯片技术系统筛查HT病变甲状腺组织，以此研究并揭示其HT 的miRNA 表达谱 变化。方法：本研究首先采用microRNA芯片技术，对正常甲状腺组织及桥本甲状腺炎甲状腺组织中microRNA 的表达进行比较， 筛选桥本甲状腺炎中差异性表达的miRNAs。结果：与正常甲状腺相比，在桥本甲状腺炎及其合并甲状腺乳头状癌的一侧桥本甲 状腺炎中分别有39 个和25 个miRNAs 分子发生了差异性表达（P<0.05），比较2 组中共有的miRNAs 发现，miR-142-3p、 miR-338-3p、miR-454、miR-146a、miR-29b-1*、miR-150、miR-223 表达上调，miR-654-5p、miR-601、miR-198、miR-1226* 表达下调 （log2 FC≥ 2，P＜0.05）；而miR-142-5p 在原发性桥本甲状腺炎中表达显著性升高近8 倍（log2 FC=7.959，P＜0.01）。结论：我们通 过microRNA芯片，首次直接系统筛查了桥本甲状腺炎病变组织相关miRNA 表达谱，总体上初步掌握了与正常甲状腺相比，桥 本甲状腺炎及合并甲状腺乳头状癌时其miRNA 表达谱的变化情况，为我们后续的研究提供了方向与基础。     

siRNA沉默整合素beta1 基因对子宫内膜癌细胞侵袭、转移的影响

目的：探讨siRNA 沉默整合素茁1 基因对子宫内膜癌细胞侵袭、转移的影响。方法：选取子宫内膜癌ECC-1细胞系(ER阳性) 和KLE细胞系(ER阴性)，分别转染Integrin beta1 siRNA 质粒(Integrin beta1 siRNA 组)、无义序列siRNA质粒(无义序列对照组)和空载 质粒(空载对照组)，利用实时荧光定量PCR 检测各组细胞中Integrin 茁1 mRNA的表达，Western blot 检测各组细胞中Integrin beta1、 beta-catenin 和C-Myc 蛋白的表达，Transwell 小室检测各组细胞迁移和侵袭能力，MTT 法检测各组细胞的增殖情况。结果：Integrin beta1 siRNA 组ECC-1 细胞和KLE 细胞中Integrin beta1 mRNA 和蛋白相对表达量均低于无义序列对照组和空载对照组(P<0.05)； Integrin beta 1 siRNA组ECC-1 细胞和KLE细胞中beta-catenin 蛋白和C-Myc 蛋白相对表达量均低于无义序列对照组和空载对照组， 差异均有统计学意义(P<0.05)；Integrin beta1 siRNA组ECC-1 细胞和KLE 细胞中迁移细胞数和侵袭细胞数均低于无义序列对照组 和空载对照组(P<0.05)；Integrin beta1 siRNA 组ECC-1细胞和KLE 细胞的A 值均低于无义序列对照组和空载对照组(P<0.05)。结 论：特异性抑制Integrin beta1 基因可抑制子宫内膜癌细胞迁移、侵袭和增殖，可能与抑制Wnt信号传导有关。     

~(131)I-Herceptin对HER2过表达乳腺癌细胞Bcl-xL表达的影响

目的:探讨131I-Herceptin对HER2过表达乳腺癌细胞Bcl-x L表达的影响。方法:采用Iodogen法制备131I-Herceptin,超滤法纯化后测定其标记率、放射化学纯度和免疫结合率。通过免疫荧光法检测乳腺癌细胞表面HER2表达水平。131I(4.625 MBq/m L)、Herceptin(125μg/m L)及131I-Herceptin(4.625 MBq/m L)干预乳腺癌BT474细胞后,Western blot检测细胞中Bcl-x L的表达。结果:131I-Herceptin的标记率、放射化学纯度和免疫结合率分别为(89.71±2.93)%、(91.80±1.43)%和(58.84±3.35)%。BT474细胞膜表面HER2表达水平明显高于MDA-MB-231细胞。Herceptin、131I-Herceptin组BT474细胞内Bcl-x L表达水平明显低于对照组及131I组(均P0.01),而Herceptin与131I-Herceptin组之间细胞内Bcl-x L含量差异无统计学意义(P0.05)。结论:131I-Herceptin保留Herceptin对HER2过表达乳腺癌细胞Bcl-x L表达的抑制作用并促进细胞凋亡,进而与131I产生协同作用,较Herceptin更有效地杀伤HER2过表达乳腺癌细胞。     

一个以前列腺特异抗原密度和穿刺评分为基础的中国人群中前列腺癌根治术后病理升级预测模型的建立

目的：分析前列腺癌根治术后病理得分较穿刺得分增加的原因，并建立一个可以预测中国人群中前列腺癌根治术后病理升 级的模型。方法：以2008 年8 月至2013 年12 月在我院泌尿科行前列腺癌根治性切除术的264例患者的临床资料为基础，根据 术前和术后患者病理得分的变化将其分为升级组和未升级组。运用单因素和多因素logistic 回归分析病理升级的原因，并通过多 因素回归系数建立预测病理升级的诺模图。结果：264 例患者中，共238 例最终纳入统计分析，多因素logistic 回归分析显示前列 腺特异抗原密度(0R=3.854，P=0.001 )和穿刺Gleason(≤ 6)评分是中国人群中前列腺癌根治术后病理升级的独立危险因素。前列腺 特异抗原密度和穿刺得分的ROC 最佳截断取值为0.37 ng/ml 2和8 分。运用上述两个变量建立了一个可用于预测病理升级的诺 模图。结论：前列腺特异抗原密度和穿刺Gleason 评分是预测中国人群中前列腺癌根治术后病理升级的独立危险因素，本研究所 得的诺模图可以很好地预测前列腺癌根治术后的病理升级。     

Focus: A Multifaceted Battle Against Cancer: Extracting Knowledge from Chemical Imaging Data Using Computational Algorithms for Digital Cancer Diagnosis

Fourier transform infrared (FTIR) spectroscopic imaging is an emerging microscopy modality for clinical histopathologic diagnoses as well as for biomedical research. Spectral data recorded in this modality are indicative of the underlying, spatially resolved biochemical composition but need computerized algorithms to digitally recognize and transform this information to a diagnostic tool to identify cancer or other physiologic conditions. Statistical pattern recognition forms the backbone of these recognition protocols and can be used for highly accurate results. Aided by biochemical correlations with normal and diseased states and the power of modern computer-aided pattern recognition, this approach is capable of combating many standing questions of traditional histology-based diagnosis models. For example, a simple diagnostic test can be developed to determine cell types in tissue. As a more advanced application, IR spectral data can be integrated with patient information to predict risk of cancer, providing a potential road to precision medicine and personalized care in cancer treatment. The IR imaging approach can be implemented to complement conventional diagnoses, as the samples remain unperturbed and are not destroyed. Despite high potential and utility of this approach, clinical implementation has not yet been achieved due to practical hurdles like speed of data acquisition and lack of optimized computational procedures for extracting clinically actionable information rapidly. The latter problem has been addressed by developing highly efficient ways to process IR imaging data but remains one that has considerable scope for progress. Here, we summarize the major issues and provide practical considerations in implementing a modified Bayesian classification protocol for digital molecular pathology. We hope to familiarize readers with analysis methods in IR imaging data and enable researchers to develop methods that can lead to the use of this promising technique for digital diagnosis of cancer.     

Tangential cell migration during layer formation of chick optic tectum

The laminated structure of the optic tectum is formed by radial and tangential cell migration during development. Studies of developing chick optic tectum have revealed two streams of tangential cell migration in the middle and superficial layers, which have distinctive origins, migratory paths, modes of migration, and destinations. We will review the process of the two types of tangential migrations, in order to elucidate their roles in the formation of the optic tectum layers.