Machine learning models improve prediction of immunotherapy outcomes across multiple cancer types
Machine learning models improve prediction of immunotherapy outcomes across multiple cancer types
Denikitug shows immune activation and early anti-tumour activity in advanced solid tumour
Zedoresertib plus lunresertib shows promising tumour shrinkage in CCNE1-amplified and FBXW7-mutant cancers
Dual integrin inhibitor plus pembrolizumab shows durable responses in ICI-resistant solid tumours
Oral molecular glue degrader with or without spartalizumab shows immune activation and tumour control in solid tumours
ctDNA positivity predicts poor response and recurrence risk in triple-negative breast cancer
Daraxonrasib plus chemotherapy shows promising first-line activity in RAS-mutant metastatic pancreatic cancer
ZL-1310 shows promising activity in DLL3-positive neuroendocrine carcinomas
DLL3 expression in circulating tumour cells predicts response to tarlatamab in small cell lung cancer
Oncolytic adenovirus VCN-01 plus chemo shows promising survival benefit in metastatic pancreatic cancer
Trastuzumab and tucatinib enable organ preservation in HER2-positive rectal cancer
Rilvegostomig clears ctDNA and delays recurrence in high-risk head and neck cancer