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Updated: Dec 2, 2025

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
Whole-slide laser microdissection for tumour enrichment
Robin Jn Coope1, Colin Schlosser1, Richard D Corbett1
1Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada.
This study introduces a semi-automated laser microdissection method for processing formalin-fixed tissues. This technique efficiently enriches tumor cells for genome-scale sequencing in precision oncology.
Area of Science:
- Oncology
- Genomics
- Pathology
Background:
- Precision oncology requires robust tissue processing for genome-scale analysis.
- Clinical implementation of tumor sequencing faces challenges with fresh tissue acquisition.
- Formalin-fixed, paraffin-embedded tissues offer a viable alternative for molecular profiling.
Purpose of the Study:
- To develop a flexible tissue processing strategy for precision oncology.
- To enable differential selection of tumor and normal cells from FFPE tissues.
- To facilitate whole genome and transcriptome sequencing from clinical samples.
Main Methods:
- A semi-automated laser microdissection method was developed.
- The method processes entire slide-mounted tissue sections.
- High-quality nucleic acids were extracted from small amounts of FFPE tissue.
Main Results:
- Tumor material enrichment from mixed samples reached up to 67%.
- Sufficient nucleic acid yield was achieved for whole genome and transcriptome sequencing.
- Sequence data quality was adequate for clinical programs like Personalized OncoGenomics (POG).
Conclusions:
- The developed method provides a practical solution for tumor cell enrichment from FFPE tissues.
- This approach supports the clinical application of genome-scale technologies in precision oncology.
- The technique enables comprehensive genomic profiling from routinely collected clinical samples.
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