Description
Mappings of tumor-infiltrating lymphocytes (TILs), based on H&E images from 13 TCGA tumor types are available here. These TIL maps are derived through computational staining, using a convolutional neural network trained to classify patches of images. In addition to the TIL Maps, the analysis codes and the software used to extract TILs are also available. The accompanying paper contains detailed information about our methods and our findings.
TCGA Tumor Types Used in this Study
BLCA Bladder urothelial carcinoma
BRCA Breast invasive carcinoma
CESC Cervical squamous cell carcinoma and endocervical adenocarcinoma
COAD Colon adenocarcinoma
LUAD Lung adenocarcinoma
LUSC Lung squamous cell carcinoma
PAAD Pancreatic adenocarcinoma
PRAD Prostate adenocarcinoma
READ Rectum adenocarcinoma
SKCM Skin Cutaneous Melanoma
STAD Stomach adenocarcinoma
UCEC Uterine Corpus Endometrial Carcinoma
UVM Uveal Melanoma
Data Access
Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever
Note: Please contact help@cancerimagingarchive.net with any questions regarding usage.
Detailed Description
Citations & Data Usage Policy
These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
Data Citation
Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., … Thorsson, V. (2018). Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2018.y75f9w1
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)
In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:
Publication Citation
Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., . . . Thorsson, V. Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images. Cell Reports, 23(1), 181-193.e187. https://doi.org/10.1016/j.celrep.2018.03.086
Other Publications Using This Data
TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.