Data-driven identification and semi-automated quantification of molecular targets for tumour-imaging of colorectal liver metastases and primary colorectal tumours
- PMID: 41444844
- PMCID: PMC12847594
- DOI: 10.1186/s13550-025-01354-z
Data-driven identification and semi-automated quantification of molecular targets for tumour-imaging of colorectal liver metastases and primary colorectal tumours
Abstract
Background: Accurate pre- and intraoperative assessment of disease extent is crucial for curative treatment of colorectal liver metastases (CRLM) and primary colorectal cancer (pCRC). Tumour-targeted nuclear imaging can enhance pre- and postoperative tumour staging, while tumour-specific fluorescence-guided surgery can improve intraoperative visualization. However, validated targets remain limited, particularly for CRLM. This study aimed to identify and validate novel molecular targets for CRLM using a data-driven approach. Additional objectives included pCRC target expression and evaluating target expression in neoadjuvant-treated patients.
Results: Using a data-driven RNA-based discovery approach (Euretos), candidate targets for colorectal liver metastases were identified. Of these, the six highest-ranking targets-CEACAM5, EPCAM, CEACAM6, MUC13, FXYD3, and CDH17-were selected for validation through immunohistochemistry (IHC). Semi-automated image analysis quantified IHC staining intensity (0-100) for tumour epithelium and background on a per-pixel basis. A patient's staining pattern was regarded as positive if mean tumour epithelium scored positive (>25), background negative (<25) and tumour epithelium >25 points higher than background, referred to as relative positive expression. The proportion of CRLM samples showing relative positive expression was 79% for CEACAM5, 45% for EPCAM, 80% for CEACAM6, 24% for MUC13, 58% for FXYD3, and 22% for CDH17. CEACAM5/CEACAM6 combined positivity reached 90% (either one positive), showing that targeting both markers enables molecular imaging in nearly the entire population. Staining intensities were similar in pCRC epithelium (P >0.05). Neoadjuvant-treated CRLM exhibited higher expression for all targets.
Conclusion: Using a novel data-driven approach, six potential imaging targets were successfully identified and validated. CEACAM5 and CEACAM6 emerged as strong targets that, regardless of neoadjuvant therapy, covered nearly the entire CRLM population-supporting their further probe development and clinical translation.
Keywords: Colorectal cancer; Colorectal liver metastases; Fluorescence-guided surgery; Molecular imaging; Neoadjuvant treatment; Nuclear imaging.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Ethics approval and consent to participate: The study was approved by the Institutional Ethics Review Board at LUMC, Leiden, The Netherlands (reference number B20.052, 18-09-2020). Consent for publication: Not applicable. Competing interests: All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.
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