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In this application, biomarkers act as stand-ins for the effects of a drug on cancer progression and survival. Ideally, the use of validated biomarkers would prevent patients from having to undergo tumor biopsies and lengthy clinical trials to determine if a new drug worked. In the current standard of care, the metric for determining a drug's ...
Other studies have shown that a combination of TMB and neoantigen load can be used as a biomarker to predict survival in patients with melanoma who received adaptive T cell transfer therapy. [10] Since TMB is a relatively new biomarker, there is still a need to perform more studies and many labs are being focused on different aspects of this ...
Drug resistance, where cancer cells develop resistance to BRAF inhibitors over time, remains a significant hurdle, leading to the need for combination therapies and next-generation inhibitors. Another dynamic shaping the BRAF inhibitor market is the competitive landscape, which has intensified with the entry of new drugs and combination therapies.
“AI and machine learning are becoming essential for identifying patients most likely to respond to new combination therapies, as they can uncover patterns where traditional biomarkers fall short.
It screens patients for microsatellite instability (MSI), which is a key genomic biomarker in colorectal cancer. [10] MSIntuit CRC is approved for use across the European Union. [ 11 ] It underwent a blind validation in 2023, made possibly partly by its availability within Medipath, the largest pathology lab network in France.
A predictive marker is a particular protein or gene that indicates sensitivity or resistance to a specific therapy.The use of predictive markers is becoming increasingly relevant in cancer therapy as it allows for better identification of patients who will respond positively to the therapy.
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