Lung Cancer Explorer
Lung Cancer Explorer is an online tool developed by UT Southwestern Medical Center’s Quantitative Biomedical Research Center (QBRC) that lets you explore gene expression data from dozens of public lung cancer datasets online – for free.
The Lung Cancer Explorer aggregates more than 40 public clinically-annotated lung cancer gene expression studies, along with some private data from UT Southwestern, and presents a user-friendly, web-based interface to explore and analyze this data.
The database stores various information about patients, including demographics, histology, stage classifications, and clinical outcomes as well as probe-level mRNA expression information, allowing users to perform very rich analysis on the data.
Users need only log into the system and click a button to perform any of our current analysis functions:
- Survival Analysis – Test the association between the gene expression level and patients’ overall survival time in one study.
- Meta-survival Analysis – Summarize the association between the gene expression level and patients’ overall survival time across multiple studies.
- Comparative Analysis – Test the association between the gene expression level and patients’ characteristics such as gender, age, histology type, disease stage, etc.
- Tumor vs. Normal – Test whether the gene expression level differs significantly between tumor samples and normal samples.
- Co-expression Analysis – Calculate the correlations among a list of user-specific genes based on the gene expression levels.
The “Getting Started” video is recommended to get a feel for how to use the application.
This work was supported in part by CTSA grant UL1TR000451 from the National Center for Advancing Translational Sciences, National Institutes of Health.