[Personalized medicine: evolution or revolution?]

Area of Science:

• Genomics
• Clinical Medicine
• Translational Science

Background:

• Personalized medicine leverages individual patient data for tailored prognosis and therapy.
• The integration of genetic and molecular information into clinical care is a key goal.
• Existing clinical data is routinely collected for patient management.

Purpose of the Study:

• To evaluate the impact of incorporating genetic and molecular data into clinical care.
• To assess whether personalized medicine approaches improve prognostic accuracy.
• To determine if genetic or molecular knowledge enhances therapeutic decision-making and clinical outcomes.

Main Methods:

• Review of current personalized medicine strategies.
• Analysis of studies integrating genetic/molecular data with clinical data.
• Assessment of prognostic improvements in various clinical conditions.
• Evaluation of clinical outcome data based on genetically guided therapies.

Main Results:

• Additional genetic and molecular information has not consistently improved prognostic ability across many conditions.
• Therapeutic decisions guided by genetic or molecular knowledge have not demonstrated improved clinical outcomes for most diseases.
• The added value of personalized medicine in enhancing patient prognosis and treatment efficacy remains limited in current practice.

Conclusions:

• The clinical utility of personalized medicine, particularly regarding improved prognosis and outcomes, requires further validation.
• Current integration of genetic and molecular data has not yet translated into significant clinical benefits for the majority of conditions.
• Future research should focus on identifying specific scenarios and biomarkers where personalized medicine demonstrably improves patient care.