Evidence map›Paper›PMID 31088479›Full record

ReviewJournal of hematology & oncology2019

Technologies for circulating tumor cell separation from whole blood.

Petra Bankó, Sun Young Lee, Viola Nagygyörgy, Miklós Zrínyi, Chang Hoon Chae, Dong Hyu Cho, András Telekes

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05633680 (Detection of Folate Receptor-positive Circulating Tumor Cells as a Biomarker for Diagnosis), which is not on this map. Cited by 173 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05633680 unknown statusnot on this mapstarted 2020, after this paper: background citation

Detection of Folate Receptor-positive Circulating Tumor Cells as a Biomarker for Diagnosis

Typeobservational_patient_registrySponsorHandan First HospitalRan2020 to 2023Enrolled200ConditionsBreast Neoplasm, Neoplastic Cells, CirculatingArmsPeripheral blood sampling for circulating tumor cells
3 · Its place in the literature

Who cites it

173 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Circulating Tumor Cells: Emerging Frontiers in Cancer Technology.Expert reviews in molecular medicine · 2026
    Review
  11. Article
  12. Review
  13. Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

113 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Petra BankóDepartment of Biochemical Engineering, Budapest University of Technology and Economics, Budapest, Hungary.
Sun Young LeeDepartment of Radiation Oncology, Chonbuk National University Hospital, Jeonju, Republic of Korea.
Viola NagygyörgyCelldi Kft, Budapest, Hungary.
Miklós ZrínyiLaboratory of Nanochemistry, Department of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Chang Hoon ChaeLaboratory of Nanochemistry, Department of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Dong Hyu ChoResearch Institute of Clinical Medicine of Chonbuk National University-Biomedical, Research Institute of Chonbuk National University Hospital, Jeonju, Republic of Korea. obgyn2001@jbnu.ac.kr.
András TelekesDepartment of Oncology, St. Lazarus Hospital, Salgótarján, Hungary. prof.andras.telekes@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of early cancer diagnosis and improved cancer therapy has been clear for years and has initiated worldwide research towards new possibilities in the care strategy of patients with cancer using technological innovations. One of the key research fields involves the separation and detection of circulating tumor cells (CTC) because of their suggested important role in early cancer diagnosis and prognosis, namely, providing easy access by a liquid biopsy from blood to identify metastatic cells before clinically detectable metastasis occurs and to study the molecular and genetic profile of these metastatic cells. Provided the opportunity to further progress the development of technology for treating cancer, several CTC technologies have been proposed in recent years by various research groups and companies. Despite their potential role in cancer healthcare, CTC methods are currently mainly used for research purposes, and only a few methods have been accepted for clinical application because of the difficulties caused by CTC heterogeneity, CTC separation from the blood, and a lack of thorough clinical validation. Therefore, the standardization and clinical application of various developed CTC technologies remain important subsequent necessary steps. Because of their suggested future clinical benefits, we focus on describing technologies using whole blood samples without any pretreatment and discuss their advantages, use, and significance. Technologies using whole blood samples utilize size-based, immunoaffinity-based, and density-based methods or combinations of these methods as well as positive and negative enrichment during separation. Although current CTC technologies have not been truly implemented yet, they possess high potential as future clinical diagnostic techniques for the individualized therapy of patients with cancer. Thus, a detailed discussion of the clinical suitability of these new advanced technologies could help prepare clinicians for the future and can be a foundation for technologies that would be used to eliminate CTCs in vivo.

Indexed as

AnimalsCell SeparationHumansLab-On-A-Chip DevicesLiquid BiopsyNeoplasmsNeoplastic Cells, CirculatingCancerCirculatingCTCSeparationTumor cellWhole blood

Identifiers

PMID31088479
PMCPMC6518774

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.