2022
DOI: 10.3390/cancers14184417
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Circulating Tumor DNA-Based Disease Monitoring of Patients with Locally Advanced Esophageal Cancer

Abstract: Patients diagnosed with locally advanced esophageal cancer are often treated with neoadjuvant chemoradiotherapy followed by surgery. This study explored whether detection of circulating tumor DNA (ctDNA) in plasma can be used to predict residual disease during treatment. Diagnostic tissue biopsies from patients with esophageal cancer receiving neoadjuvant chemoradiotherapy and surgery were analyzed for tumor-specific mutations. These tumor-informed mutations were used to measure the presence of ctDNA in serial… Show more

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Cited by 9 publications
(13 citation statements)
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“…Prediction of CR was not possible by baseline ctDNA profiling due to the fact that responders also shed ctDNA before the start of neoadjuvant treatment. In a tissue informed panel-based EAC sequencing study (n = 78), several complete responders were also positive at baseline, in line with our findings [8]. Several studies have found that ctDNA dynamics of EAC patients predicts pathological response to neoadjuvant therapy [10,11,27].…”
Section: Discussionsupporting
confidence: 90%
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“…Prediction of CR was not possible by baseline ctDNA profiling due to the fact that responders also shed ctDNA before the start of neoadjuvant treatment. In a tissue informed panel-based EAC sequencing study (n = 78), several complete responders were also positive at baseline, in line with our findings [8]. Several studies have found that ctDNA dynamics of EAC patients predicts pathological response to neoadjuvant therapy [10,11,27].…”
Section: Discussionsupporting
confidence: 90%
“…By combining these two approaches mentioned above, we were able to classify 50.5% of baseline samples as ctDNA-positive. This is comparable to previously published studies with baseline detection rates of between 36% and 56% with panel-based sequencing and 30% with ichorCNA in an advanced-stage cohort [6,8,11,14]. For the future development of ctDNA assays, combining multiple metrics may thus improve detection.…”
Section: Discussionsupporting
confidence: 86%
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