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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
Circulating Tumor DNA for Prediction of Complete Pathological Response to Neoadjuvant Radiochemotherapy in Locally
Tatiana Mögele1,2, Michael Höck3, Florian Sommer4
1Pathology, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany.
Monitoring circulating tumor DNA (ctDNA) during neoadjuvant chemoradiotherapy (nCRT) for rectal cancer is feasible. However, ctDNA alone does not reliably predict complete pathologic remission (pCR) for watch and wait strategies.
Area of Science:
- Oncology
- Molecular Diagnostics
- Rectal Cancer Research
Background:
- Locally advanced rectal cancer treatment involves neoadjuvant chemoradiotherapy (nCRT) followed by surgery.
- Complete pathologic remission (pCR) occurs in ~30% of patients, prompting investigation into non-surgical options like 'watch and wait' (W&W).
- Predictive biomarkers for pCR are needed to guide treatment decisions and personalize care.
Purpose of the Study:
- To investigate the potential of monitoring circulating tumor DNA (ctDNA) changes during nCRT for predicting pCR in rectal cancer.
- To assess if ctDNA dynamics can identify patients achieving pCR and guide W&W strategies.
Main Methods:
- Prospective single-center NEORECT trial involving 40 rectal cancer patients.
- Plasma ctDNA collected before, during, and after nCRT, and before surgery.
- Next-generation sequencing (NGS) identified mutations in tissue; digital PCR (dPCR) quantified ctDNA.
Main Results:
- Identified three ctDNA patterns: increase, decrease, and absence.
- Undetectable ctDNA correlated with good response; tenfold increase linked to new metastases.
- ctDNA alone showed low specificity for pCR prediction and no significant correlation with long-term prognosis.
Conclusions:
- The NEORECT trial demonstrated the feasibility of ctDNA-based monitoring in rectal cancer patients undergoing nCRT.
- ctDNA's utility in predicting pCR for W&W strategies requires further research.
- Larger studies with multi-gene analysis and expanded clinical data are needed for improved prediction.
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