A1 Refereed original research article in a scientific journal
Circulating tumor DNA-based copy-number profiles enable monitoring treatment effects during therapy in high-grade serous carcinoma
Authors: Nguyen Mai TN, Rajavuori Anna, Huhtinen Kaisa, Hietanen Sakari, Hynninen Johanna, Oikkonen Jaana, Hautaniemi Sampsa
Publisher: Elsevier Masson
Publication year: 2023
Journal: Biomedicine and Pharmacotherapy
Journal name in source: Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Journal acronym: Biomed Pharmacother
Article number: 115630
Volume: 168
ISSN: 0753-3322
eISSN: 1950-6007
DOI: https://doi.org/10.1016/j.biopha.2023.115630
Web address : https://doi.org/10.1016/j.biopha.2023.115630
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/181463966
Circulating tumor DNA (ctDNA) analysis has emerged as a promising tool for detecting and profiling longitudinal genomics changes in cancer. While copy-number alterations (CNAs) play a major role in cancers, treatment effect monitoring using copy-number profiles has received limited attention as compared to mutations. A major reason for this is the insensitivity of CNA analysis for the real-life tumor-fraction ctDNA samples. We performed copy-number analysis on 152 plasma samples obtained from 29 patients with high-grade serous ovarian cancer (HGSC) using a sequencing panel targeting over 500 genes. Twenty-one patients had temporally matched tissue and plasma sample pairs, which enabled assessing concordance with tissues sequenced with the same panel or whole-genome sequencing and to evaluate sensitivity. Our approach could detect concordant CNA profiles in most plasma samples with as low as 5% tumor content and highly amplified regions in samples with ∼1% of tumor content. Longitudinal profiles showed changes in the CNA profiles in seven out of 11 patients with high tumor-content plasma samples at relapse. These changes included focal acquired or lost copy-numbers, even though most of the genome remained stable. Two patients displayed major copy-number profile changes during therapy. Our analysis revealed ctDNA-detectable subclonal selection resulting from both surgical operations and chemotherapy. Overall, longitudinal ctDNA data showed acquired and diminished CNAs at relapse when compared to pre-treatment samples. These results highlight the importance of genomic profiling during treatment as well as underline the usability of ctDNA.
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