American Statistical Association
I will introduce our work in mining and integrating large-scale tumor molecular profiles to inform cancer immunology and immunotherapy. Tumor RNA sequencing has become cost effective over the years, and I will discuss three algorithms that we developed to extract useful insights from treatment naïve RNA-seq samples in The Cancer Genome Atlas. First, TIMER can estimate immune cell components in tumors, and a webserver has been created for users to explore immune infiltration across TCGA tumors and make inference on user-provided samples. Second, TRUST can assemble T cell receptor (TCR) and B cell receptor (BCR) complementarity-determining regions (CDR3s) from unselected bulk tumor RNA-seq data. Third, TIDE derived tumor immune dysfunction and tumor immune exclusion gene expression signatures from pretreatment tumors to predict patient response to anti-PD1 and anti-CTLA4 treatment. Our work indicates that tumor RNA-seq, even on treatment naïve tumors, is cost effective to inform tumor microenvironment and tumor immunity.
|Date:||Wednesday, June 5, 2019|
|Time:||2:00 - 3:00 P.M.|
Memorial Sloan Kettering Cancer Center
Zuckerman Research Center, Room 105
417 East 68th Street
(Between First & York Avenues)
New York, New York
**Outside visitors please email firstname.lastname@example.org for building access. You must be on the security list to enter the floor.