Neoadjuvant immunotherapy continues to rewrite our understanding of anticancer immunity
Integrating spatial profiling, single-cell technologies and blood-based correlates may help reveal why immunotherapy is effective in some tumours but not others
Exploring synergy to keep the immunotherapy flame alight
2025 ESMO Immuno-Oncology Awardee, Ignacio Melero, is confident that combinations and novel multispecific agents will result in synergistic strategies to ensure the continued success of cancer immunotherapy
Novel ADCs from Asia open new clinical opportunities
Phase I–II studies showcase the clinical potential of novel ADCs with enhanced targeting and/or payload strategies
Access to targeted treatments for patients with CUP is still an issue
Studies underline that a tumour-agnostic approach may help improve treatment options
177Lu-DOTATATE prolongs progression-free survival in previously treated advanced GEP-NETs
Impressive results from the Chinese LUMINET-1 phase III study confirm and extend previous findings in Western patients
Population diversity in cancer treatment – differences matter
Recognising diversity is essential to providing effective, well tolerated and accessible cancer care globally
A new claudin 18.2-targeting approach appears promising in gastric cancers
A triple combination investigated in a phase I trial adds to the growing therapeutic options directed at this emerging target
First-in-class p53 reactivator shows activity in advanced solid tumours
Initial results of a phase II trial with rezatapopt suggest real promise in an area that has eluded druggable targeting
Going beyond protocol is key for young people with cancer
For adolescents and young adults with cancer, individualised care that addresses their unique medical and psychosocial needs is essential to improving outcomes and quality of life
Bridging the interpretation gap in cancer genomics – the next frontier for ai in oncology
Can artificial intelligence finally unlock the full potential of cancer genomics? Discover how new digital tools are closing the gap between data and clinical action in oncology.