Congratulations @NeehaZaidi@DanielHaldarMD@DrLizJaffee and team! This is the 1st study to demonstrate the feasibility of mutant KRAS targeted vaccine - not in established #PancreaticCancer - but in HIGH RISK individuals, with persistent T cells ~2years!
https://t.co/ggsZsQUIFu
Our lab is looking for a laboratory technician to work on a next generation cancer vaccine. Come join our great group! Link to apply:
https://t.co/dJT0Uy5mfM
@NeehaZaidi@DrLizJaffee@AmandaHuffPhD
A large, publicly available dataset integrating RNA, whole-exome, T cell receptor and 16S rRNA sequencing from patients with #ColonCancer enables the discovery of a #PrognosticScore consisting of tumor, immune and microbial features. #Microbiome#Tcell https://t.co/wAFGqIs1Mr
Breaking News: A pancreatic cancer vaccine provoked an immune response in half of the patients treated in a small trial, a finding that experts described as very promising. https://t.co/Ofdbh8dsdM
Vaccine boosts T cells that target pancreatic tumours. Read about this clinical trial in a super N&V by @AmandaHuffPhD & @NeehaZaidi https://t.co/zDlgJketuf
A #DeepLearning algorithm using electronic health records from two large cohorts of patients predicts the risk of #PancreaticCancer from pre-cancer disease trajectories up to 3 years in advance, w/ promising performance. https://t.co/PFi0BmUqjO @sandercbio@TheBrunakLab
Excited to share STAPLER, a language model to predict TCR – pMHC reactivity that outperforms prior models.
And for ML aficionados: Description of a new data leakage problem inherent to a common negative data generation strategy.
https://t.co/dsLeYJoT7v
🧵👇
Rudensky and colleagues find that Treg depletion in a PD-1 resistant cancer model vastly alters the TME and Treg dependent programs were identified, such as the VEGF pathway. Treg depletion and VEGF blockade improved tumor control https://t.co/I7VMfs4kQJ
https://t.co/pAz8yNEAbd
Neoadjuvant #nivolumab, #ipilimumab and chemotherapy showed promising efficacy for resectable #NSCLC, with higher tumor immune cell infiltration and tertiary lymphoid structures post-treatment compared to nivolumab plus chemotherapy @MDAndersonNews
https://t.co/V5Kq4vEf3p
A #machinelearning model that utilizes longitudinal #ctDNA metrics robustly predicts survival in two phase 3 trials of patients with metastatic #NSCLC, which may improve therapy selection and risk stratification. @genentech
https://t.co/maVoyEEyiV