Tailored combinations of tools are the way forward to assess quality of life in rare cancers
Recent studies emphasise that the current approach does not fully capture the needs and experiences of patients with rare tumours
Why clinical practice guidelines matter even more in rare cancers
A recent EURACAN survey highlights a high uptake of recommendations from medical oncologists, potentially leading to improved patients’ survival
How to close the age gap in clinical cancer research?
From geriatric assessment to artificial intelligence, an ESMO/SIOG paper highlights effective strategies to improve the representation of older patients in clinical trials
Research unlocks insights into lung cancer evolution from electronic medical records
A domain-specific natural language processing (NPL) pipeline showed strong performance in extracting clinically meaningful information from diverse clinical documents of patients with non-small cell lung cancer
RAS inhibition: a game changer in pancreatic cancer?
The hope for innovative and effective RAS-inhibitors is high for this tumour type, but research in this area is challenging
Structured exercise enters ESMO guidelines for colon cancer as recommended treatment
The update reflects survival benefits of post-diagnosis exercise in stage II–III colon cancer as recently reported in the CHALLENGE study
Study supports radiomics in predicting immunotherapy effectiveness in advanced NSCLC
In a real-world study, multimodal artificial intelligence models outperform PD-L1 across key endpoints
Next-generation KRAS G12C inhibitor shows promising activity in advanced colorectal cancer
Manageable safety and encouraging antitumour responses were presented with MK-1084 monotherapy and combination regimens
Study provides prospective validation of an alternative biopsy technique
Data shows that index lesion-focused ipsilateral systematic biopsy is not inferior to standard systematic biopsy
AI model boosts survival prediction accuracy after neoadjuvant chemotherapy in breast cancer
A study compared the performance of different models using routinely collected clinicopathological data from women with HR-positive/HER2-negative breast cancer