FROM THE ESMO IMMUNO ONCOLOGY CONGRESS 2025
Next-generation PRAME-directed TCR T-cell therapy shows early activity in solid tumours
Tumour reduction was observed with IMA203CD8 across different PRAME-expressing cancers in a phase I trial
Novel combination shows survival benefits in high-risk gastric/gastro-oesophageal junction cancer
Encouraging data were reported for SHR-1701 added to first-line CAPOX in a post-hoc analysis of patients with high-risk features from a Chinese study
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
FROM THE ESMO ASIA CONGRESS 2025
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
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
Access to targeted treatments for patients with CUP is still an issue
Studies underline that a tumour-agnostic approach may help improve treatment options
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
Population diversity in cancer treatment – differences matter
Recognising diversity is essential to providing effective, well tolerated and accessible cancer care globally
AI & DIGITAL ONCOLOGY
The first ESMO guidance for AI-based biomarkers
In a newly released framework paper, ESMO defines criteria for assessing and implementing AI-based biomarkers in oncology
Harnessing Large Language Models in oncology: ESMO’s framework for integration in the clinic
The ELCAP statements, developed by a group of international experts, help oncology stakeholders recognise the opportunities and the risks of these artificial intelligence systems by categorising them into three types
How AI is expediting clinical research: the use of synthetic real-world data
While synthetic real-world data may help overcome current challenges in clinical trials, it also introduces new complexities
Sine Reker Hadrup
Eileen Poon
Faisal Mahmood
Shekoofeh Azizi