Liquid biopsy in patients with metastatic pancreatic cancer using an optimized targeted sequencing approach: Data from the pancreatic cancer registry PanDaDETECT.

e16303 Background: Metastatic pancreatic ductal adenocarcinoma (PDAC) conveys a dismal prognosis, and biomarkers for clinical diagnostics and treatment monitoring are urgently needed. Detection of circulating tumor DNA (ctDNA) using liquid biopsy (LB) has been shown to correlate with treatment response in other tumor entities. Here, we evaluated the feasibility of LB by targeted next generation sequencing (NGS) in metastatic PDAC, using an NGS approach optimized for PDAC. Methods: Patients from our PanDaDETECT registry with metastatic PDAC were included. Plasma samples were collected at initial diagnosis and every three months during palliative treatment. Targeted NGS of plasma samples was performed using a small, custom-generated gene panel optimized for LB provided by Qiagen (QiaSeq Targeted DNA Panel), covering the four most frequently mutated genes in PDAC with full exon coverage (KRAS, TP53, SMAD4 and CDKN2A). Sequencing was performed on the Illumina NextSeq 550 platform. LB results were compared to matched tissue NGS data from tumor samples. Results were correlated with the serological biomarker Ca 19-9 and radiographic response data. All patients provided written informed consent. The responsible ethics committee approved the study. Results: From 2020 to 2022, 57 patients were included and underwent plasma NGS at least at initial diagnosis. For 52 of these patients a tissue NGS result was available, and in 49 patients (94,2%), at least one of the four genes covered by our LB panel was mutated in the tumor tissue. In 35 patients, our LB approach detected ctDNA in the plasma sample at initial diagnosis (61,4%). Comparing tissue and plasma sequencing data at initial diagnosis, our LB approach detected ctDNA in 32 out of 49 patients who had a known mutation in tissue NGS in at least one of the four genes covered by the LB panel (65,3%). For 22 patients with positive ctDNA detection in plasma NGS, follow-up plasma samples after three months of treatment were available. In this subgroup, detection of ctDNA showed a superior correlation with radiographic response assessed by RECIST criteria than the serological biomarker Ca 19-9. In patients with a partial response or stable disease as defined by RECIST, ctDNA levels decreased markedly, while remaining elevated in patients showing disease progression. For 11 patients, plasma NGS at 6 months of treatment or later was performed, the results at these later time points correlated well with clinical and radiographic response in 9 out of 11 patients. Conclusions: Our LB approach optimized for PDAC is feasible and shows a good correlation with serological and radiographic response. Our optimized NGS panel covering only four genes is able to detect ctDNA in a majority of PDAC patients. LB by targeted NGS has the potential to detect a broad spectrum of relevant mutations in PDAC in an automatable and cost-effective matter.