| Title | Serial ctDNA analysis predicts clinical progression in patients with advanced urothelial carcinoma. |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Shohdy KS, Villamar DM, Cao Y, Trieu J, Price KS, Nagy R, Tagawa ST, Molina AM, Sternberg CN, Nanus DM, Mosquera JMiguel, Elemento O, Sonpavde GP, Grivas P, Vogelzang NJ, Faltas BMorris |
| Journal | Br J Cancer |
| Volume | 126 |
| Issue | 3 |
| Pagination | 430-439 |
| Date Published | 2022 Feb |
| ISSN | 1532-1827 |
| Keywords | Adult, Aged, Aged, 80 and over, Biomarkers, Tumor, Carcinoma, Transitional Cell, Circulating Tumor DNA, Disease Progression, Female, High-Throughput Nucleotide Sequencing, Humans, Longitudinal Studies, Male, Middle Aged, Mutation, Precision Medicine, Prognosis, Survival Rate, Urinary Bladder Neoplasms |
| Abstract | BACKGROUND: Targeted sequencing of circulating tumour DNA (ctDNA) is a promising tool to monitor dynamic changes in the variant allele frequencies (VAF) of genomic alterations and predict clinical outcomes in patients with advanced urothelial carcinoma (UC). METHODS: We performed targeted sequencing of 182 serial ctDNA samples from 53 patients with advanced UC. RESULTS: Serial ctDNA-derived metrics predicted the clinical outcomes in patients with advanced UC. Combining serial ctDNA aggregate VAF (aVAF) values with clinical factors, including age, sex, and liver metastasis, improved the performance of prognostic models. An increase of the ctDNA aVAF by ≥1 in serial ctDNA samples predicted disease progression within 6 months in 90% of patients. The majority of patients with aVAFs ≤0.7 in three consecutive ctDNA samples achieved durable clinical responses (≥6 months). CONCLUSIONS: Serial ctDNA analysis predicts disease progression and enables dynamic monitoring to guide precision medicine in patients with advanced UC. |
| DOI | 10.1038/s41416-021-01648-8 |
| Alternate Journal | Br J Cancer |
| PubMed ID | 35046520 |
| PubMed Central ID | PMC8810988 |
| Grant List | T32 CA009566 / CA / NCI NIH HHS / United States |
Related Faculty:
Juan Miguel Mosquera, M.D.