Finally, thanks to all my colleagues, family and friends who helped and supported me along the way.
After this amazing journey at @KU_Leuven@Onco_KULeuven, excited for my final 2 years of medical oncology training at @UZLeuven!
#PhDone! 👩🎓
Last week, I successfully defended my PhD on response prediction for systemic therapies in clear-cell RCC.
Incredibly grateful for the support of my supervisors professors Benoit Beuselinck, @AbhishekDGarg and @MaartenAlbersen!
Thanks as well to my jury members professors Els Wauters @ewauters, Jeroen Dekervel @JDekervel, Yann Vano and Henrik Heiland @MILOLab2, for their constructive feedback and insightful questions!
🚨Read @CD_AACR#ResearchWatch snippet on our recent work!
"A Multiomics-Informed HLA Signature Predicts Immunotherapy Response"
🗞️Read full paper here: https://t.co/allKa3xTvE
GU Research Digest for the week of May 18 - 25: a selection of publications about GU cancers in high-impact journals. Search the PMIDs on https://t.co/F03S8cX7Rn to read!
This paper by @AbhishekDGarg and colleagues addresses some key questions in ccRCC, including some key features of responders to immunotherapy. Extremely useful read. Congratulations to all involved, wonderful work!
https://t.co/cGJXHG38NK
Multiomics & spatial mapping of tumor samples from patients with advanced #RenalCellCarcinoma, as well as integration of transcriptomic and HLA genotyping data provides a machine learning-derived signature of response to #immune#CheckpointBlockade.
https://t.co/7a9LuV2txp