04.06.2016 Views

UCSF HELEN DILLER FAMILY COMPREHENSIVE CANCER CENTER

kmUU300MXic

kmUU300MXic

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Presentations<br />

PD-L1 expression, Cancer Genome Atlas (TCGA) subtype, and<br />

mutational load as independent predictors of response to<br />

atezolizumab (atezo) in metastatic urothelial carcinoma (mUC;<br />

IMvigor210).<br />

Authors*: Jonathan E. Rosenberg, Daniel Peter Petrylak, Michiel Simon Van Der Heijden, Andrea Necchi,<br />

Peter H. O’Donnell, Yohann Loriot, Margitta Retz, Jose Luis Perez-Gracia, Joaquim Bellmunt, Petros Grivas,<br />

Richard Wayne Joseph, Lawrence Fong, Edward E. Kadel, Zachary Boyd, Dorothee Nickles,<br />

Garrett Michael Frampton, Richard Bourgon, Priti S. Hegde, Sanjeev Mariathasan, Thomas Powles<br />

Abstract #: 104<br />

Presentation Date/Time: Sunday, June 5: 9:45 - 11:15 AM<br />

Location: Hall D1<br />

Session: Immunotherapy: Now We’re Getting Personal - Using Genomics and Biomarkers to Predict Response<br />

Citation: J Clin Oncol 34, 2016 (suppl; abstr 104)<br />

Fong Research Interests: My lab focuses on how the immune system interacts with cancer as well as exploring<br />

tumor immunotherapies in mouse models and in patients. Our primary focus is in cancer immunotherapy.<br />

We investigate how immunotherapies such as immune checkpoint inhibitors and cancer vaccines can<br />

enhance anti-tumor immunity both systemically and in the tumor microenvironment. Performing neoadjuvant<br />

immunotherapy trials, we determine how specific therapies can recruit immune effectors in cancer patients.<br />

Moreover, we have studied how clinical responders may differ from clinical non-responders. We are applying<br />

unbiased approaches to studying antigen-specific responses that are modulated in these patients and are<br />

currently developing biomarkers that may be redictive of clinical efficacy.<br />

http://hemonc.ucsf.edu/fonglab/<br />

*<strong>UCSF</strong> authors in bold<br />

63

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!