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Cell-Free DNA Genomic Profiling and Its Clinical Implementation in Advanced Prostate Cancer. | LitMetric

AI Article Synopsis

  • Many men diagnosed with prostate cancer (PCa) progress to more severe metastatic disease, and selecting the best treatment remains difficult due to a lack of clear biomarkers.
  • Researchers aimed to determine the effectiveness of using liquid biopsies and a targeted next-generation sequencing (NGS) panel on plasma DNA to personalize treatment.
  • They found that 71% of patients had detectable mutations in plasma samples, indicating that this NGS method is sensitive and specific for identifying important mutations in prostate cancer cases.

Article Abstract

Most men with prostate cancer (PCa), despite potentially curable localized disease at initial diagnosis, progress to metastatic disease. Despite numerous treatment options, choosing the optimal treatment for individual patients remains challenging. Biomarkers guiding treatment sequences in an advanced setting are lacking. To estimate the diagnostic potential of liquid biopsies in guiding personalized treatment of PCa, we evaluated the utility of a custom-targeted next-generation sequencing (NGS) panel based on the AmpliSeq HD Technology. Ultra-deep sequencing on plasma circulating free DNA (cfDNA) samples of 40 metastatic castration-resistant PCa (mCRPC) and 28 metastatic hormone-naive PCa (mCSPC) was performed. CfDNA somatic mutations were detected in 48/68 (71%) patients. Of those 68 patients, 42 had matched tumor and cfDNA samples. In 21/42 (50%) patients, mutations from the primary tumor tissue were detected in the plasma cfDNA. In 7/42 (17%) patients, mutations found in the primary tumor were not detected in the cfDNA. Mutations from primary tumors were detected in all tested mCRPC patients (17/17), but only in 4/11 with mCSPC. AR amplifications were detected in 12/39 (31%) mCRPC patients. These results indicate that our targeted NGS approach has high sensitivity and specificity for detecting clinically relevant mutations in PCa.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10778564PMC
http://dx.doi.org/10.3390/cancers16010045DOI Listing

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