Performance and pilot clinical validation of MALDITEC-CTC: a circulating tumor cell detection platform using whole-cell MALDI-TOF MS fingerprinting in osteosarcoma

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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Journal
Cancer Cell International
Published
2026-06-16
DOI
https://doi.org/10.1186/s12935-026-04386-0
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance and pilot clinical validation of MALDITEC-CTC: a circulating tumor cell detection platform using whole-cell MALDI-TOF MS fingerprinting in osteosarcoma

Pathacha Suksakit, Wararat Chiangjong, Areerak Phanphaisarn, Nutnicha Sirikaew et al.
Cancer Cell International
Mass Spectrometry Techniques and Applications
article

Performance and pilot clinical validation of MALDITEC-CTC: a circulating tumor cell detection platform using whole-cell MALDI-TOF MS fingerprinting in osteosarcoma

Pathacha Suksakit, Wararat Chiangjong, Areerak Phanphaisarn, Nutnicha Sirikaew, Petlada Yongpitakwattana, Somchai Chutipongtanate, Arnat Pasena, Pimpisa Teeyakasem, Santhasiri Orrapin, Parunya Chaiyawat, Jisnuson Svasti, Sutpirat Moonmuang, Voraratt Champattanachai, Jongkolnee Settakorn, Songphon Sutthitthasakul, Sasimol Udomruk, Dumnoensun Pruksakorn, Ratikorn Kamngoen
article en

Abstract

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.

Cancer Cell International
Mahidol University (TH), Chulabhorn Graduate Institute (TH), Chulabhorn Research Institute (TH), Ramathibodi Hospital (TH), Chiang Mai University (TH), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Health Systems Research Institute
Good health and well-being
Openalex Percentile: Top 12%
Mass Spectrometry Techniques and Applications
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