4.7 Article

Use of Circulating Tumour DNA (ctDNA) for Measurement of Therapy Predictive Biomarkers in Patients with Cancer

Journal

JOURNAL OF PERSONALIZED MEDICINE
Volume 12, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/jpm12010099

Keywords

biomarker; predictive; companion diagnostic; ctDNA; liquid biopsy; cancer

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Biomarkers that can predict patients' response to specific therapies are crucial for personalized cancer treatment. Tumor tissue is the gold standard for determining predictive biomarkers, but it is not always available or adequate for analysis. In contrast, circulating tumor DNA (ctDNA) in the blood can be obtained from almost all patients in a minimally invasive and safe manner. Blood-based biomarker testing has advantages such as shorter turnaround time and the ability to perform serial measurements. Although tissue remains the gold standard, blood-based predictive biomarkers can be used when tissue is unavailable.
Biomarkers that predict likely response or resistance to specific therapies are critical in personalising treatment for cancer patients. Such biomarkers are now available for an increasing number of anti-cancer therapies, especially targeted therapy and immunotherapy. The gold-standard method for determining predictive biomarkers requires tumour tissue. Obtaining tissue, however, is not always possible and even if possible, the amount or quality of tissue obtained may be inadequate for biomarker analysis. Tumour DNA, however, can be released into the bloodstream, giving rise to what is referred to as circulating tumour DNA (ctDNA). In contrast to tissue, blood can be obtained from effectively all patients in a minimally invasive and safe manner. Other advantages of blood over tissue for biomarker testing include a shorter turn-around time and an ability to perform serial measurements. Furthermore, blood should provide a more complete profile of mutations present in heterogeneous tumours than a single-needle tissue biopsy. A limitation of blood vis-a-vis tissue, however, is lower sensitivity and, thus, the possibility of missing an actionable mutation. Despite this limitation, blood-based predictive biomarkers, such as mutant EGFR for predicting response to EGFR tyrosine kinase inhibitors in advanced non-small-cell lung cancer and mutant PIK3CA for predicting response to alpelisib in combination with fulvestrant in advanced breast cancer, may be used when tissue is unavailable. Although tissue remains the gold standard for detecting predictive biomarkers, it is likely that several further blood-based assays will soon be validated and used when tissue is unavailable or unsuitable for analysis.

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