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Updated: Jun 18, 2026

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
Performance and pilot clinical validation of MALDITEC-CTC: a circulating tumor cell detection platform using
Santhasiri Orrapin1, Nutnicha Sirikaew2,3, Wararat Chiangjong4
1Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai, 50200, Thailand.
Background:
Osteosarcoma is a highly metastatic bone malignancy, with hematogenous spread as the leading cause of mortality. Circulating tumor cells (CTCs) offer a minimally invasive window to detect metastatic potential and real-time tumor dynamics. However, detecting osteosarcoma CTCs is challenging due to their rarity in the bloodstream and eligibility for positive-enrichment methods targeting epithelial markers.
Methods:
We developed MALDI Technology Enabling Classification of Circulating Tumor Cell (MALDITEC-CTC), a novel platform that combines negative-selection CTC enrichment with MALDI-TOF mass spectrometry for osteosarcoma CTC detection. A custom main spectrum profile (MSP) database was generated from normal cells, carcinoma and sarcoma cell lines, patient-derived osteosarcoma cells (PDCs), and peripheral blood mononuclear cells (PBMCs). Using the MALDI Biotyper, CTCs in blood samples were identified by log(score) matching against the MSP database. Diagnostic performance was evaluated in 12 osteosarcoma patients and 11 healthy donors.
Results:
CTC-enriched samples from patients showed high log(score) matches to their corresponding PDCs, supporting accurate identification. At the cut-off score of 1.625, MALDITEC-CTC achieved 67% sensitivity and 90.9% specificity with an area under the curve of 0.871 for distinguishing patients from healthy donors. Importantly, CTC-positive patients showed a higher tendency to develop metastasis than CTC-negative patients, indicating potential prognostic value.
Conclusions:
MALDITEC-CTC demonstrates the clinical feasibility of a rapid, label-free, proteomics-based approach for detecting osteosarcoma CTCs. This platform may enable early risk stratification for metastasis and non-invasive monitoring of tumor progression in osteosarcoma patients.
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