Monitoring Circulating Tumor DNA During Surgical Treatment in Patients with Gastrointestinal Stromal Tumors.
Gustav JohanssonMarta BerndsenStefan LindskogTobias ÖsterlundHenrik FagmanAndreas MuthAnders StåhlbergPublished in: Molecular cancer therapeutics (2021)
The majority of patients diagnosed with advanced gastrointestinal stromal tumors (GISTs) are successfully treated with a combination of surgery and tyrosine kinase inhibitors (TKIs). However, it remains challenging to monitor treatment efficacy and identify relapse early. Here, we utilized a sequencing strategy based on molecular barcodes and developed a GIST-specific panel to monitor tumor-specific and TKI resistance mutations in cell-free DNA and applied the approach to patients undergoing surgical treatment. Thirty-two patients with GISTs were included, and 161 blood plasma samples were collected and analyzed at routine visits before and after surgery and at the beginning, during, and after surgery. Patients were included regardless of their risk category. Our GIST-specific sequencing approach allowed detection of tumor-specific mutations and TKI resistance mutations with mutant allele frequency < 0.1%. Circulating tumor DNA (ctDNA) was detected in at least one timepoint in nine of 32 patients, ranging from 0.04% to 93% in mutant allele frequency. High-risk patients were more often ctDNA positive than other risk groups (P < 0.05). Patients with detectable ctDNA also displayed higher tumor cell proliferation rates (P < 0.01) and larger tumor sizes (P < 0.01). All patients who were ctDNA positive during surgery became negative after surgery. Finally, in two patients who progressed on TKI treatment, we detected multiple resistance mutations. Our data show that ctDNA may become a clinically useful biomarker in monitoring treatment efficacy in patients with high-risk GISTs and can assist in treatment decision making.
Keyphrases
- circulating tumor
- end stage renal disease
- newly diagnosed
- ejection fraction
- patients undergoing
- peritoneal dialysis
- circulating tumor cells
- prognostic factors
- decision making
- machine learning
- patient reported outcomes
- single cell
- combination therapy
- coronary artery disease
- atrial fibrillation
- cell cycle
- advanced non small cell lung cancer
- acute coronary syndrome
- clinical practice
- coronary artery bypass
- pi k akt
- breast cancer risk