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Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization
Published on: May 15, 2018
Isolation and Genomic Analysis of Circulating Tumor Cell Clusters in Cancer Patients
Carolina Reduzzi1,2, Marta Vismara1, Thomas Schamberger3
1Biomarkers Unit, Fondazione IRCCS, Istituto Nazionale dei Tumori di Milano, Milan, Italy.
Methods in Molecular Biology (Clifton, N.J.)
|January 9, 2024
Summary
Circulating tumor cell (CTC) clusters are crucial in metastasis. This study introduces a new method to accurately estimate the tumor fraction within these clusters using genomic analysis.
Area of Science:
- Oncology
- Genomics
- Cell Biology
Background:
- Circulating tumor cell (CTC) clusters play a significant role in cancer metastasis.
- Heterotypic clusters, comprising tumor and normal cells, are common in solid tumors.
- Existing methods lack precision in quantifying tumor cell proportions within clusters.
Purpose of the Study:
- To develop and validate a novel method for accurately determining the tumor fraction in CTC clusters.
- To enable precise enumeration of tumor cells within both homotypic and heterotypic clusters.
Main Methods:
- Isolation and collection of individual CTC clusters.
- Low-pass whole genome sequencing for assessing copy number alterations within single clusters.
- Bioinformatic analysis pipeline for interpreting sequencing data and estimating tumor fraction.
Main Results:
- Successfully implemented a method for single-cluster isolation and genomic analysis.
- Demonstrated the capability to accurately estimate tumor cell fractions within CTC clusters.
- Established a foundation for improved understanding of cluster composition in metastasis.
Conclusions:
- The described method offers a significant advancement in analyzing CTC cluster heterogeneity.
- Accurate tumor fraction estimation is vital for understanding metastatic potential and guiding treatment.
- This technique facilitates deeper insights into the role of CTC clusters in cancer progression.
Keywords:
CTC clustersCopy number alterationGenomic analysisLow-pass whole genome sequencingMicromanipulationTumor fraction prediction
