In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 2 ( 2022-2-7), p. e0262770-
Kurzfassung:
The present prospective study aimed at determining the impact of cell-free tumor DNA (ct-DNA), CA125 and HE4 from blood and ascites for quantification of tumor burden in patients with advanced high-grade serous epithelial ovarian cancer (EOC). Methods Genomic DNA was extracted from tumor FFPE and ct-DNA from plasma before surgery and on subsequent post-surgical days. Extracted DNA was subjected to hybrid-capture based next generation sequencing. Blood and ascites were sampled before surgery and on subsequent post-surgical days. 20 patients (10 undergoing complete resection (TR0), 10 undergoing incomplete resection (TR 〉 0)) were included. Results The minor allele frequency (MAF) of TP53 mutations in ct-DNA of all patients with TR0 decreased significantly, compared to only one patient with TR 〉 0. It was not possible to distinguish between patients with TR0 and patients with TR 〉 0, using CA125 and HE4 from blood and ascites. Conclusions Based upon the present findings, ct-DNA assessment in patients with high-grade serous EOC might help to better determine disease burden compared to standard tumor markers. Further studies should prospectively evaluate whether this enhancement of accuracy can help to optimize management of patients with EOC.
Materialart:
Online-Ressource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0262770
DOI:
10.1371/journal.pone.0262770.g001
DOI:
10.1371/journal.pone.0262770.g002
DOI:
10.1371/journal.pone.0262770.g003
DOI:
10.1371/journal.pone.0262770.g004
DOI:
10.1371/journal.pone.0262770.t001
DOI:
10.1371/journal.pone.0262770.s001
DOI:
10.1371/journal.pone.0262770.s002
DOI:
10.1371/journal.pone.0262770.s003
DOI:
10.1371/journal.pone.0262770.s004
DOI:
10.1371/journal.pone.0262770.s005
DOI:
10.1371/journal.pone.0262770.s006
DOI:
10.1371/journal.pone.0262770.r001
DOI:
10.1371/journal.pone.0262770.r002
DOI:
10.1371/journal.pone.0262770.r003
DOI:
10.1371/journal.pone.0262770.r004
Sprache:
Englisch
Verlag:
Public Library of Science (PLoS)
Publikationsdatum:
2022
ZDB Id:
2267670-3
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