Predictive and prognostic biomarkers in cancer: towards the precision medicine era
2024
Predictive and prognostic biomarkers in cancer
Editorial
Evidence: high
Author Information
Author(s): Marletta Stefano, Rizzo Antonio, Spoto Graziana, Falzone Luca, Corte Carminia Maria Della
Primary Institution: University of Campania “Luigi Vanvitelli”, Italy
Conclusion
The integration of predictive and prognostic biomarkers into clinical practice is essential for improving patient outcomes in cancer treatment.
Supporting Evidence
- Predictive biomarkers help identify patients likely to respond to specific treatments.
- Prognostic biomarkers provide insights into disease progression regardless of treatment.
- Technological advancements have improved the discovery of biomarkers.
- Liquid biopsy offers a non-invasive method for monitoring cancer.
- AI is increasingly used to analyze complex biological data for biomarker discovery.
Takeaway
Scientists are finding special markers in cancer that help doctors choose the best treatments for patients, making sure they get the right care.
Limitations
Challenges include the variability in biomarker expression among patients and the lack of standard procedures for biomarker detection.
Digital Object Identifier (DOI)
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