论文标题
部分可观测时空混沌系统的无模型预测
Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis
论文作者
论文摘要
患病状况是某些异常的结果，这些异常与影响各种器官的许多细胞和组织中有关。 EBV（爱泼斯坦 - 巴尔病毒）在引起影响B细胞和上皮细胞的感染性单核细胞增多症（IM）以及与EBV相关癌症的发展的共同作用一直是积极研究的领域。研究这种重要的相互作用可能有助于发现与某些EBV相关淋巴细胞增生性（伯基特的淋巴瘤和霍奇金的淋巴瘤）和非淋巴细胞增生性疾病（胃癌和鼻咽癌）的新治疗靶标。基于Disgenet（V7.0）数据集，我们构建了一个疾病 - 基因网络二手图，以识别与各种癌相关的基因，即胃癌（GC），鼻咽癌（NPC），Hodgkin的淋巴瘤（HL）和Burkitt's Lymphoma（BL）。使用社区检测算法（Louvain方法），我们确定了社区，然后使用过度代表分析方法进行功能富集。在这项研究中，我们确定了模块化群落，以探索这种常见的病原体（EBV）与GC，NPC，HL和BL等不同癌的关系。我们可以根据其分布程度确定前10个基因为CASP10，BRAF，NFKBIA，IFNA2，GSTP1，CSF3，GATA3，UBR5，AXIN2和POL。进一步的过度代表分析表明，在9个关键生物学过程中，有3个中有3个中的ABL1基因显着过多。结果，我们可以推断出EBV病原体在靶向关键途径时具有选择性，以引起细胞生长停滞/凋亡并干扰重要的生物学过程，包括TP53基因网络，从而导致对重要细胞活性的损害进一步增殖。
Diseased conditions are a consequence of some abnormality that are associated with clinical conditions in numerous cells and tissues affecting various organs. The common role of EBV (Epstein-Barr virus) in causing infectious mononucleosis (IM) affecting B-cells and epithelial cells and the development of EBV-associated cancers has been an area of active research. Investigating such significant interactions may help discover new therapeutic targets for certain EBV-associated lymphoproliferative (Burkitt's Lymphoma and Hodgkin's Lymphoma) and non-lymphoproliferative diseases (Gastric cancer and Nasopharyngeal cancer). Based on the DisGeNET (v7.0) data set, we constructed a disease-gene network bipartite graph to identify genes that are involved in various carcinomas namely, gastric cancer (GC), nasopharyngeal cancer (NPC), Hodgkin's lymphoma (HL) and Burkitt's lymphoma (BL). Using the community detection algorithm (Louvain method), we identified communities followed by functional enrichment using over-representation analysis methodology. In this study, we identified the modular communities to explore the relation of this common causative pathogen (EBV) with different carcinomas such as GC, NPC, HL and BL. We could identify the top 10 genes as CASP10, BRAF, NFKBIA, IFNA2, GSTP1, CSF3, GATA3, UBR5, AXIN2 and POLE based on their degree of distribution. Further over-representation analysis showed that the ABL1 gene was significantly over-represented in 3 out of 9 critical biological processes. As a result, we can infer that the EBV pathogen is selective in targeting critical pathways to bring about cellular growth arrest/apoptosis and interfering with vital biological processes, including the TP53 network of genes that leads to further proliferation of damage to vital cellular activities.
