首页> 美国卫生研究院文献>Cancers >Systematic Analysis of Gene Expression in Lung Adenocarcinoma and Squamous Cell Carcinoma with a Case Study of FAM83A and FAM83B
【2h】

Systematic Analysis of Gene Expression in Lung Adenocarcinoma and Squamous Cell Carcinoma with a Case Study of FAM83A and FAM83B

机译:以FAM83A和FAM83B为例系统分析肺腺癌和鳞状细胞癌的基因表达

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Introduction: In our previous study, we constructed a Lung Cancer Explorer (LCE) database housing lung cancer-specific expression data and clinical data from over 6700 patients in 56 studies. Methods: Using this dataset of the largest collection of lung cancer gene expression along with our meta-analysis method, we systematically interrogated the association between gene expression and overall survival as well as the expression difference between tumor and normal (adjacent non-malignant tissue) samples in lung adenocarcinoma (ADC) and lung squamous cell carcinoma (SQCC). A case study for FAM83A and FAM83B was performed as a demonstration for hypothesis testing with our database. Results: We showed that the reproducibility of results across studies varied by histological subtype and analysis type. Genes and pathways unique or common to the two histological subtypes were identified and the results were integrated into LCE to facilitate user exploration. In our case study, we verified the findings from a previous study on FAM83A and FAM83B in non-small cell lung cancer. Conclusions: This study used gene expression data from a large cohort of patients to explore the molecular differences between lung ADC and SQCC.
机译:简介:在我们以前的研究中,我们构建了一个肺癌研究者(LCE)数据库,其中包含56个研究中来自6700多名患者的肺癌特异性表达数据和临床数据。方法:使用该数据库收集的肺癌基因表达量最大的数据集以及我们的荟萃分析方法,我们系统地询问了基因表达与总体存活率之间的关联以及肿瘤与正常组织(相邻的非恶性组织)之间的表达差异肺腺癌(ADC)和肺鳞状细胞癌(SQCC)中的样本。对FAM83A和FAM83B进行了案例研究,以对我们的数据库进行假设检验。结果:我们表明,整个研究结果的可重复性因组织学亚型和分析类型而异。确定了两种组织学亚型独特或共有的基因和途径,并将结果整合到LCE中以方便用户探索。在我们的案例研究中,我们验证了先前对非小细胞肺癌中FAM83A和FAM83B的研究结果。结论:本研究使用了一大批患者的基因表达数据来探讨肺ADC和SQCC之间的分子差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号