New artificial intelligence-based biomarkers offer early insight into treatment response
Findings from four studies provide further evidence on the potential of AI-driven pathology, imaging and multiomic data to guide clinical decision-making
Findings from four studies provide further evidence on the potential of AI-driven pathology, imaging and multiomic data to guide clinical decision-making
Positive findings are presented for advanced Merkel-cell carcinoma plus phaeochromocytoma and paragangliomas, while negative findings are equally important to guide future research
Blocking GDF-15, an mRNA-based therapy and targeting VISTA have a strong mechanistic rationale, resulting in clinical benefit in heavily pre-treated patients
Preliminary results of NW-301V are promising, with a lack of severe adverse effects at all doses tested in patients with pancreatic cancer or colorectal cancer
TROP2-targeted ADCs, sacituzumab govitecan and datopotamab deruxtecan, meet their primary endpoints in phase III trials
Precision targeting, immune modulation and rational trial design are converging to improve patient outcomes
Despite the presentation of encouraging study findings with novel immunotherapy-based therapies, long-term outcomes are needed to better understand the magnitude of clinical benefit and many questions remain around off-target toxicity and the identification of patients most likely to respond to treatment
Longer follow-up from two studies supports neoadjuvant over adjuvant immune checkpoint inhibition in patients with resectable melanoma and clinically or radiologically detectable metastasis, plus useful insights gained from biomarker analyses will help refine treatment strategies
Although the phase III investigational study with IO102-IO103 plus pembrolizumab is negative, it offers precious insights to advance research in the field
While telisotuzumab adizutecan demonstrated early antitumour activity, only modest benefits were seen with VCN-01 added to standard care
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