Reliable on-treatment prognostication and target identification with a customized assay for circulating tumor DNA in patients with newly diagnosed pancreatic cancer

The vast majority of patients with pancreatic cancer present with unresectable disease and precision medicine is lagging behind. Circulating tumor DNA (ctDNA) has emerged as a promising tool, both as a proxy for tumor burden and for capturing tumor heterogeneity, but optimal gene panels and prognostic cutoffs remain to be determined. Herein, we applied ultra-deep ctDNA sequencing using a customized panel targeting 23 genes and six frequently altered chromosomes on plasma samples obtained before, during and after chemotherapy from 60 patients enrolled in a prospective clinical study. At baseline, positive versus negative ctDNA was not prognostic, neither in the adjuvant nor in the palliative setting, but in palliative patients, an independent prognostic cutoff could be calculated from the absolute number of mutated DNA molecules. Median overall survival was 3.7 months in the ctDNA<sup>high</sup> compared to 11.9 months in the ctDNA<sup>low</sup> group (p < 0.0001), and the cutoff remained prognostic at one and three months. Moreover, relevant genetic alterations were highly concordant in ctDNA and paired tumor tissue. These findings demonstrate the potential clinical utility of a customized and focused gene panel for prognostication and target identification over time in patients with newly diagnosed pancreatic cancer, in particular in the palliative setting.ClinicalTrials.gov number: NCT03724994.

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Publication Details

Journal
Scientific Reports
Published
2025-10-03
DOI
https://doi.org/10.1038/s41598-025-22369-5
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

Reliable on-treatment prognostication and target identification with a customized assay for circulating tumor DNA in patients with newly diagnosed pancreatic cancer

Maja Svensson, Alexandra Petersson, Rebecka Bergström, David Gisselsson et al.
Scientific Reports
Cancer Genomics and Diagnostics
article

Reliable on-treatment prognostication and target identification with a customized assay for circulating tumor DNA in patients with newly diagnosed pancreatic cancer

Maja Svensson, Alexandra Petersson, Rebecka Bergström, David Gisselsson, Karin Jirström, Johan Lindberg, Karin Leandersson, Sofie Olsson Hau, Markus Mayrhofer, Subhayan Chattopadhyay, Markus Heidenblad, Jakob Eberhard
article en

Abstract

The vast majority of patients with pancreatic cancer present with unresectable disease and precision medicine is lagging behind. Circulating tumor DNA (ctDNA) has emerged as a promising tool, both as a proxy for tumor burden and for capturing tumor heterogeneity, but optimal gene panels and prognostic cutoffs remain to be determined. Herein, we applied ultra-deep ctDNA sequencing using a customized panel targeting 23 genes and six frequently altered chromosomes on plasma samples obtained before, during and after chemotherapy from 60 patients enrolled in a prospective clinical study. At baseline, positive versus negative ctDNA was not prognostic, neither in the adjuvant nor in the palliative setting, but in palliative patients, an independent prognostic cutoff could be calculated from the absolute number of mutated DNA molecules. Median overall survival was 3.7 months in the ctDNA<sup>high</sup> compared to 11.9 months in the ctDNA<sup>low</sup> group (p < 0.0001), and the cutoff remained prognostic at one and three months. Moreover, relevant genetic alterations were highly concordant in ctDNA and paired tumor tissue. These findings demonstrate the potential clinical utility of a customized and focused gene panel for prognostication and target identification over time in patients with newly diagnosed pancreatic cancer, in particular in the palliative setting.ClinicalTrials.gov number: NCT03724994.

Scientific ReportsVol. 15(1)
Lund University (SE), Science for Life Laboratory (SE), Karolinska Institutet (SE), Skåne University Hospital (SE)
Openalex Percentile: Top 66%
Cancer Genomics and Diagnostics
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