Developing Personalised Medicine for Malignant Melanoma.
In plain English
AI plain-English summaryHalf of all melanomas carry a specific mutation in the BRAF gene, and while drugs that block BRAF or its partner MEK can shrink these tumours, most patients relapse within six to eight months. This matters because melanoma is a potentially deadly skin cancer, and the current targeted treatments—though a breakthrough in personalised medicine—fail about 20 to 40 percent of patients from the start (intrinsic resistance), and the majority of those who do respond eventually stop responding (acquired resistance). Only around 5 percent of patients achieve long-term remission. The problem is that doctors cannot predict which patients will resist treatment, nor can they track how the cancer evolves to evade the drugs. If this research succeeds, it will give clinicians a practical monitoring system. By using next-generation DNA sequencing and mass spectrometry to analyse tumour samples from late-stage patients on BRAF or MEK inhibitors, the team aims to identify the molecular mechanisms driving resistance. They will then draw up guidelines to stratify early-stage patients by their likelihood of response and predict which resistance pathways are most probable. The ultimate goal is a real-time monitoring process that allows doctors to adjust treatment as the disease changes—for example, promptly switching a patient to a second-line therapy or a clinical trial the moment first-line treatment begins to fail. This would turn melanoma care from a one-shot approach into a genuinely adaptive, personalised strategy.
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