Lung Cancer Explorer (LCE): An open web portal to explore gene expression and clinical associations in lung cancer

Ling Cai, Shin Yi Lin, Yunyun Zhou, Lin Yang, Bo Ci, Qinbo Zhou, Danni Luo, Bo Yao, Hao Tang, Jeffrey Allen, Kenneth Huffman, Adi F Gazdar, John Heymach, Ignacio Wistuba, Guanghua Xiao, John Minna, Yang Xie

Research output: Contribution to journalArticlepeer-review

Abstract

We constructed a lung cancer-specific database housing expression data and clinical data from over 6,700 patients in 56 studies. Expression data from 23 “whole-genome” based platforms were carefully processed and quality controlled, whereas clinical data were standardized and rigorously curated. Empowered by this lung cancer database, we created an open access web resource – the Lung Cancer Explorer (LCE), which enables researchers and clinicians to explore these data and perform analyses. Users can perform meta-analyses on LCE to gain a quick overview of the results on tumor vs normal differential gene expression and expression-survival association. Individual dataset-based survival analysis, comparative analysis, and correlation analysis are also provided with flexible options to allow for customized analyses from the user.

Original languageEnglish (US)
JournalUnknown Journal
DOIs
StatePublished - Feb 24 2018

Keywords

  • clinical information
  • database
  • genomics
  • lung cancer
  • web application

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • Immunology and Microbiology(all)
  • Neuroscience(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

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