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Related Experiment Video

Updated: Dec 29, 2025

Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization
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Cancer transcriptomic profiling from rapidly enriched circulating tumor cells.

Gareth J Morrison1, Alexander T Cunha1, Nita Jojo1

  • 1Department of Medicine, University of Southern California (USC), Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), California, Los Angeles.

International Journal of Cancer
|February 11, 2020
PubMed
Summary

This study presents a novel, noninvasive method for analyzing circulating tumor cells (CTCs) in advanced prostate cancer (PC). The technique enhances CTC transcriptomic profiling, enabling the discovery of new therapeutic targets.

Keywords:
circulating tumor cellsexpression profilingliquid biopsyoncology

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Standard cancer biopsies are invasive and offer limited insights into metastatic disease.
  • Circulating tumor cell (CTC) profiling offers a noninvasive, systemic view of advanced cancers but is challenged by the high abundance of white blood cells (WBCs).
  • Existing CTC transcriptomic methods lack sensitivity, specificity, or scalability for large patient cohorts.

Purpose of the Study:

  • To develop and validate a scalable, noninvasive strategy for CTC transcriptomic profiling.
  • To overcome the challenge of WBC contamination in CTC analysis.
  • To identify novel therapeutic targets and understand disease mechanisms in advanced prostate cancer (PC).

Main Methods:

  • Utilized commercially available white blood cell (WBC) depletion techniques.
  • Employed microfluidic enrichment for circulating tumor cells (CTCs).
  • Performed RNA sequencing for transcriptomic profiling of enriched CTCs.

Main Results:

  • Enriched CTC transcriptomes from advanced prostate cancer (PC) patients clustered with cancer-positive controls.
  • Prostate-specific transcripts, previously undetectable, became readily measurable.
  • Gene set enrichment analysis identified known PC-associated pathways and novel signaling pathways for further investigation.

Conclusions:

  • The developed approach provides accessible and scalable cancer-specific transcriptomic data from noninvasive blood samples.
  • This method can be repeatedly applied to large patient cohorts for discovering new therapeutic targets in advanced cancers.
  • The strategy enhances the potential of CTC transcriptomic profiling for understanding cancer progression and developing novel therapies.