![]() It’s important to understand these differences in biomarkers so that patients may derive the optimal benefit from more individualized therapy, Luke concludes. This article will discuss the difference between the two types of biomarkers and detail the significance of suPAR as a prognostic, as well as, predictive biomarker. An international team of authors reviews the traditional prognostic and predictive factors such as tumor grade, histologic subtype, and grade and then goes. Conversely, in lung cancer, EGFR mutations predict better prognosis and suggest that a patient is likely to respond to an EGFR inhibitor. Predictive factors reflect the tumor sensitivity or resistance to a particular treatment, and are defined as those factors that predict which patients are. The difference between the prognostic and predictive value of a biomarker can be highly useful in charting a treatment plan for patients and determining treatment outcomes. For example, in melanoma, BRAF mutations indicate poor prognosis but are also predictive of the treatment effect of a BRAF inhibitor, says Luke. As a noun prognostic is (raremedicine) prognosis. ![]() In some cases, biomarkers can be prognostic and predictive, Luke explains. As adjectives the difference between predictive and prognostic is that predictive is useful in predicting while prognostic is of, pertaining to or characterized by prognosis or prediction. The concept of biomarkers is important in all areas of oncology, but is especially relevant in the field of melanoma, explains Luke. Prognostic biomarkers can indicate how well a patient is going to do over time, whereas predictive biomarkers are commonly linked to an available therapeutic approach, Luke says. Luke, MD, FACP, an associate professor of medicine in the Division of Hematology/Oncology and director of the Cancer Immunotherapeutics Center Immunology and Immunotherapy Program at the University of Pittsburgh Medical Center Hillman Cancer Center, compares predictive and prognostic biomarkers in melanoma.
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