Online Now: Dissecting genetic and immune drivers of heterogeneous responses to neoadjuvant immunochemotherapy in gastric cancer https://t.co/r0bGnjJRwq
@Annals_Oncology@YanceyChen_lol Final analysis of Jupiter-06 study showed the EGIC
model is effective in predicting the long term survival. Potential combination strategies are provided.
🆕article in press: Final overall survival analysis and exploratory biomarker study from JUPITER-06: a randomized phase 3 trial of toripalimab plus chemotherapy in advanced esophageal squamous cell carcinoma @FengWan25720657@YanceyChen_lol https://t.co/Nn9PLWzSdP
“The striking cover image showcases the dramatic meeting of the Tao River and the Yellow River in Gansu Province, China, where two distinct currents join to form a powerful, unified flow. This visual spectacle mirrors the findings of the Neoshot 1b study by Wang et al.,
Now at #ASCO24: In the phase 3 FRUTIGA trial, the multi anti-VEGFR inhibitor #fruquintinib + chemotherapy significantly extended progression-free survival, but not overall survival, as 2L therapy in patients with advanced #GastricCancer or #GEJCancer https://t.co/i64ljYnQ4N
Thanks to Cell for inviting us to write this commentary. Challenges and opportunities in oncology drug development and clinical research in China: Cell https://t.co/rt2UIl6cIc @CellCellPress
In a phase 2 trial comparing anti-PD-1 + anti-VEGF + HDAC inhibitor vs. anti-PD-1 + HDAC inhibitor in patients with MSS/pMMR #ColorectalCancer, the triplet combo leads to better 18 week progression-free survival. #ColorectalCancerAwarenessMonth
https://t.co/KzLX7HX75k
The Capability-01 trial was just published. The combination of HADCi, anti-PD-1 and anti-VEGF achieved an ORR of 44% with a mPFS 7.3 mos in MSS mCRC patients. Thanks to the study team, all patients and family. #colorectalcancer#Immunology#Cancer@NatureMedicine
Excited to share my recent work published in Nature Communications with the title "Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer." https://t.co/u1LtQdAy4t #MachineLearning#CancerGenomics 📚🔬