Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Comparative analysis of capture methods for genomic profiling of circulating tumor cells in colorectal cancer

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2022

Comparative analysis of capture methods for genomic profiling of circulating tumor cells in colorectal cancer

0 Datasets

0 Files

en
2022
DOI: 10.1101/2022.06.02.22275905

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
David Posada
David Posada

Universidade de Vigo

Verified
João M. Alves
Nuria Estévez‐Gómez
Monica Valecha
+11 more

Abstract

Abstract The genomic profiling of circulating tumor cells (CTCs) in the bloodstream should provide clinically relevant information on therapeutic efficacy and help predict cancer survival. However, the molecular characterization of CTCs has so far proven extremely difficult. A variety of technologies have been developed for CTC isolation, but so far the impact on the genomic assessment of CTCs has not been fully evaluated. To fill this gap, here we contrasted the genomic profiles of CTC pools recovered from blood samples obtained from four metastatic colorectal cancer (mCRC) patients using three different enrichment strategies (CellSearch, Parsortix, and FACS). Our results suggest clear differences in the mutational burden of CTC pools depending on the enrichment method used, with all evaluated methods returning a somewhat limited representation of the mutational spectrum of individual tumors, potentially due to allelic dropout during whole-genome amplification. Nevertheless, the CTC pools from Parsortix, and in part, CellSearch, showed diversity estimates, mutational signatures and drug-suitability scores remarkably close to the ones found in matching primary tumor samples. In contrast, FACS CTC pools were substantially enriched in apparent sequencing artifacts, which led to much higher estimates of genomic diversity. Although CTC genomics still faces technical challenges, our results suggest that CTC-derived metrics can reflect the diversity scores seen in primary tumor lesions thus highlighting the utility of CTCs to assess the heterogeneity status of individual tumors, and to help clinicians prioritize drugs in mCRC.

How to cite this publication

João M. Alves, Nuria Estévez‐Gómez, Monica Valecha, Sonia Prado‐Lòpez, Laura Tomás, Pilar Alvariño, Roberto Piñeiro, Laura Muinelo‐Romay, Patricia Mondelo‐Macía, Mercedes Salgado, Agueda Iglesias‐Gómez, Laura Codesido, Joaquín Cubiella, David Posada (2022). Comparative analysis of capture methods for genomic profiling of circulating tumor cells in colorectal cancer. , DOI: https://doi.org/10.1101/2022.06.02.22275905.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2022

Authors

14

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2022.06.02.22275905

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access