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. O

SUBMITTER: Warmerdam MI 

PROVIDER: S-EPMC12847594 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature