Artificial intelligence is enabling a new class of biomarkers by integrating histology, molecular data, imaging, and clinical records to generate scalable, biologically grounded insights for precision oncology.
Integrating digital pathology with genomic and clinical data may enhance prediction of late recurrence and refine selection for adjuvant treatment intensification in HR-positive, HER2-negative disease
In light of recent evidence from the ATOMIC trial, balancing adjuvant and neoadjuvant immunotherapy approaches continues to challenge clinical decision-making.
Patient-reported outcomes show that datopotamab deruxtecan also improved patient functioning and symptom control compared to chemotherapy
At a senior stage of her career in oncology, Prof. Martine Piccart remains deeply committed in supporting young oncologists in cancer research
The first prospective phase II trials evaluating TOPO1 ADC after prior TOPO1 ADC therapy confirm the emergence of cross-resistance
Gaps still exist in care and communication for AYA, with failure to address their unique needs
Data from two novel studies further support the feasibility of this approach, although its clinical utility has yet to be determined
Recent studies support treatment optimisation for improving patients’ quality of life, but its implementation in clinical practice remains limited
A pathological complete response-guided approach enables treatment optimisation in a selected population with HER2-positive breast cancer in the PHERGain-2 study
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