Biomarkers are important for understanding how cancer patients will do, but they come with some challenges. Let's break it down:
Variability: Not all patients show the same levels of biomarkers. This makes it hard to understand what the results really mean.
False Positives/Negatives: Some biomarkers can give wrong signals about a patient’s outlook. This can affect the choices doctors make for treatment.
Even with these challenges, researchers are working hard. They are studying large and diverse groups of patients and using better statistical methods. This will help make biomarkers more useful and improve how well we can predict outcomes. In turn, this could lead to better survival rates for patients.
Biomarkers are important for understanding how cancer patients will do, but they come with some challenges. Let's break it down:
Variability: Not all patients show the same levels of biomarkers. This makes it hard to understand what the results really mean.
False Positives/Negatives: Some biomarkers can give wrong signals about a patient’s outlook. This can affect the choices doctors make for treatment.
Even with these challenges, researchers are working hard. They are studying large and diverse groups of patients and using better statistical methods. This will help make biomarkers more useful and improve how well we can predict outcomes. In turn, this could lead to better survival rates for patients.