Cai Ling, Luo Danni, Yao Bo, Yang Donghan M, Lin ShinYi, Girard Luc, DeBerardinis Ralph J, Minna John D, Xie Yang, Xiao Guanghua
Quantitative Biomedical Research Center, Department of Population and Data Sciences, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA.
Howard Hughes Medical Institute and Children's Medical Center Research Institute, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA.
Cancers (Basel). 2019 Jun 25;11(6):886. doi: 10.3390/cancers11060886.
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.
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 and was performed as a demonstration for hypothesis testing with our database.
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 and in non-small cell lung cancer.
This study used gene expression data from a large cohort of patients to explore the molecular differences between lung ADC and SQCC.
在我们之前的研究中，我们构建了一个肺癌探索者（LCE）数据库，其中包含来自56项研究的6700多名患者的肺癌特异性表达数据和临床数据。
利用这个最大规模肺癌基因表达数据集以及我们的荟萃分析方法，我们系统地研究了基因表达与总生存期之间的关联，以及肺腺癌（ADC）和肺鳞状细胞癌（SQCC）中肿瘤与正常（相邻非恶性组织）样本之间的表达差异。对[具体内容]进行了案例研究，作为使用我们数据库进行假设检验的示范。
我们表明，不同组织学亚型和分析类型的研究结果可重复性存在差异。确定了两种组织学亚型特有的或共有的基因和通路，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，我们验证了之前一项关于非小细胞肺癌中[具体内容]的研究结果。
本研究使用大量患者的基因表达数据来探索肺ADC和SQCC之间的分子差异。
