Validation of High-Throughput Large-Format Tissue Preprocessing for Lung and Colorectal Cancer

Condition(s) studied

Study summary

This project aims to employ a sample preprocessing system in conjunction with three-dimensional imaging techniques to generate morphologically more complete, high-resolution datasets for lung and colorectal cancers. Building on systematic experimental optimization of the preprocessing system, the investigators will establish tissue-clearing workflows and transparency assessment criteria specifically for lung and colorectal cancer specimens, and develop and validate an efficient 3D immunofluorescent iterative staining protocol adapted for these tumor types to achieve robust three-dimensional imaging. Successful implementation of this project will enable an in-depth characterization of the spatial morphological features of lung and colorectal cancer pathology, facilitate identification of more effective and precise interventional strategies, and ultimately contribute to improved overall survival for cancer patients. Additionally, the resulting datasets will support prospective validation of two-dimensional pathological models.

Eligibility

Primary outcome measure(s)

• Area under ROC curve (AUC) — Diagnostic evaluation will be performed within 1 week when the WSIs are obtained
  Area under the curve

Trial sites (1)

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