Most combinations of cancer drugs have additive, but not synergistic efficacy
A study describes an additivity model that can be used to predict the likelihood of success or failure of combination therapies in phase III trials
A study describes an additivity model that can be used to predict the likelihood of success or failure of combination therapies in phase III trials
Evidence is compelling, but utility may depend on the clinical context
After proof of efficacy in patients with melanoma in a clinical trial, major efforts are now directed to make the use of TILs easier and safer in clinical practice.
A study reports evidence of antitumour activity by combining a GDF-15 neutralising antibody with PD-1 inhibition in cancers that are refractory/relapsed to immune checkpoint inhibitors
Certain immunotherapy combinations that are effective in selected solid tumours may not be effective in lung cancer without targetable genetic alterations.
According to the 2023 ESMO Immuno-Oncology Awardee, Steven A. Rosenberg, the keys to progress are identifying the optimal characteristics of antitumour effector lymphocytes, cancer antigen identification and strategies for overcoming resistance mechanisms to enhance immune-cell function
A phase II trial opens up discussions on how to define success of chemoprevention studies
Personalisation of treatment could be a step closer by integrating several cancer characteristics, but consolidation of data from these tools is needed before their use in clinical practice
Well-designed real-world observational studies are hypothesis-generating and impact therapeutic decisions
Analysis from MARIPOSA-2 and FLAURA2 trials show a potential change of treatment paradigm in both first- and second-line settings
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