Multistep ctDNA Monitoring of Minimal Residual Disease in Colorectal Cancer Liver Metastases: From Tissue NGS to Highly Sensitive Digital PCR Platforms
<b>Background/Objectives</b>: Colorectal cancer (CRC) liver metastases present a significant clinical challenge due to high recurrence risks post-resection. Traditional diagnostics often fail to detect early-stage minimal residual disease (MRD). This preliminary pilot study evaluated ctDNA dynamics in 10 patients with liver metastases using a personalized multistep approach. <b>Methods</b>: Following primary tumor Next-Generation Sequencing (NGS) to identify somatic mutations in <i>KRAS</i>, <i>NRAS</i>, <i>TP53</i>, <i>RET</i>, <i>APC</i>, and <i>WRN</i>, custom TaqMan assays were designed for longitudinal plasma analysis. Four methodologies were compared: HRM-PCR, PNA-enhanced qPCR, and two digital platforms (dPCR and ddPCR). <b>Results</b>: While HRM-PCR sensitivity was limited in plasma, digital platforms demonstrated 100% qualitative concordance. MRD-negative status (VAF 0.00%) was identified in 70% of cases (P01, P03, P06, P07, P08, P09, P10), while detectable ctDNA in patients P02, P04, and P05 strongly correlated with aggressive progression. Digital PCR enabled the ultra-low detection of Variant Allele Frequencies (VAFs), identifying high molecular burdens (e.g., P05, VAF 49%) correlating with rapid decline, and capturing early molecular residue in P04 (VAF 0.62%). <b>Conclusions</b>: Our preliminary findings confirm that personalized longitudinal VAF tracking via digital PCR provides superior prognostic value, serving as a robust tool for recurrence monitoring in personalized CRC therapy.
Authors
- Izabela Górzyńska
- Paweł Gaj (ORCID: https://orcid.org/0000-0002-5416-5412)
- Oskar Kornasiewicz
- Michał Świerniak (ORCID: https://orcid.org/0000-0003-0368-8077)
- Agata Konieczka
- Michał Grąt
- Tomasz Stokłosa
Institutions
- Medical University of Warsaw (PL)
- ID Genomics (United States) (US)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3390/diagnostics16050645
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00