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Detection of metastases using circulating tumour DNA in uveal melanoma.

Authors :
Beasley, Aaron B.
de Bruyn, Daniël P.
Calapre, Leslie
Al-Ogaili, Zeyad
Isaacs, Timothy W.
Bentel, Jacqueline
Reid, Anna L.
Dwarkasing, Roy S.
Pereira, Michelle R.
Khattak, Muhammad A.
Meniawy, Tarek M.
Millward, Michael
Brosens, Erwin
de Klein, Annelies
Chen, Fred K.
Kiliҫ, Emine
Gray, Elin S.
Source :
Journal of Cancer Research & Clinical Oncology; Nov2023, Vol. 149 Issue 16, p14953-14963, 11p
Publication Year :
2023

Abstract

Background: Approximately 50% of uveal melanoma (UM) patients will develop metastatic disease depending on the genetic features of the primary tumour. Patients need 3–12 monthly scans, depending on their prognosis, which is costly and often non-specific. Circulating tumour DNA (ctDNA) quantification could serve as a test to detect and monitor patients for early signs of metastasis and therapeutic response. Methods: We assessed ctDNA as a biomarker in three distinct UM cohorts using droplet-digital PCR: (A) a retrospective analysis of primary UM patients to predict metastases; (B) a prospective analysis of UM patients after resolution of their primary tumour for early detection of metastases; and (C) monitoring treatment response in metastatic UM patients. Results: Cohort A: ctDNA levels were not associated with the development of metastases. Cohort B: ctDNA was detected in 17/25 (68%) with radiological diagnosis of metastases. ctDNA was the strongest predictor of overall survival in a multivariate analysis (HR = 15.8, 95% CI 1.7–151.2, p = 0.017). Cohort C: ctDNA monitoring of patients undergoing immunotherapy revealed a reduction in the levels of ctDNA in patients with combination immunotherapy. Conclusions: Our proof-of-concept study shows the biomarker feasibility potential of ctDNA monitoring in for the clinical management of uveal melanoma patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01715216
Volume :
149
Issue :
16
Database :
Complementary Index
Journal :
Journal of Cancer Research & Clinical Oncology
Publication Type :
Academic Journal
Accession number :
173237571
Full Text :
https://doi.org/10.1007/s00432-023-05271-3