five

Exon Level Expression Profiling analysis of early stage NSCLC suffering rapidly relapse

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE121841
下载链接
链接失效反馈
官方服务:
资源简介:
Postoperative recurrence is the main cause of poor prognosis in early stage lung adenocarcinoma (LUAD). Factors that can predict recurrence risk are critically needed.we designed a screening procedure based on gene profile data.The differentially expressed genes (DEGs) between patients with recurrence-free survival (RFS)<1 year and RFS>3 years were found.Cox proportional hazards model, IHC and Kaplan-Meier survival analysis were preformed to validate these biomarkers in TCGA and Daping validation sets. To identify DEGs between the RFS<1 year (n=7)and >3year(n=7) subgroups in the Daping discovery set, transcriptome analysis was performed. Tissue cores with >70% tumor content was obtained from formalin-fixed and paraffin-embedded (FFPE) tissue. RNA was extracted from deparaffinized and proteinase K–treated FFPE tissue (20–40 mg) using the RNA prep Pure FFPE Kit (QIAGEN, Valencia, CA) according to the manufacturer’s instructions. RNA concentration and quality were assessed by absorbance spectrometry on a NanoDrop (Thermo Fisher Scientific, Wilmington, DE). We performed gene expression profiling of the 14 FFPE-derived LUAD tissues using a GeneChip® Human Transcriptome Array 2.0 (Affymetrix, Santa Clara, CA). The total RNA input was 500 pg–10 µg. Data were processed by Affymetrix® Transcriptome Analysis Console software 3.0.
创建时间:
2019-06-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作