Evidence map›Paper›PMID 29790741›Full record

ArticleAnalytical chemistry2018

Entrapment of Prostate Cancer Circulating Tumor Cells with a Sequential Size-Based Microfluidic Chip.

Xiang Ren, Brittni M Foster, Parham Ghassemi, Jeannine S Strobl, Bethany A Kerr, Masoud Agah

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Bioprinted research models of urological malignancy.Exploration (Beijing, China) · 2024
    Review
  4. Review
  5. Review
  6. The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023
    Review
  7. Biomarkers of Aggressive Prostate Cancer at Diagnosis.International journal of molecular sciences · 2023
    Review
  8. Review
  9. Review
  10. Application of Microfluidics in Detection of Circulating Tumor Cells.Frontiers in bioengineering and biotechnology · 2022
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
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

6 authors.

Xiang RenThe Bradley Department of Electrical and Computer Engineering , Virginia Tech , Blacksburg , Virginia 24061 , United States.ORCID 0000-0002-8882-6362
Brittni M FosterDepartment of Cancer Biology , Wake Forest University School of Medicine , Winston-Salem , North Carolina 27157 , United States.
Parham GhassemiThe Bradley Department of Electrical and Computer Engineering , Virginia Tech , Blacksburg , Virginia 24061 , United States.
Jeannine S StroblThe Bradley Department of Electrical and Computer Engineering , Virginia Tech , Blacksburg , Virginia 24061 , United States.
Bethany A KerrDepartment of Cancer Biology , Wake Forest University School of Medicine , Winston-Salem , North Carolina 27157 , United States.
Masoud AgahThe Bradley Department of Electrical and Computer Engineering , Virginia Tech , Blacksburg , Virginia 24061 , United States.

Funding

CD117 Signaling as a Mechanism of Prostate Cancer MetastasisR00CA175291 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KERR, BETHANY AMBER · 2016 to 2018
$722k
High Throughput Mechanical Modulatory Assay for Breast Cancer Drug TestingR21CA210126 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI AGAH, MASOUD · 2016 to 2017
$395k
NCI NIH HHS R00 CA175291NCI NIH HHS R21 CA210126
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are broadly accepted as an indicator for early cancer diagnosis and disease severity. However, there is currently no reliable method available to capture and enumerate all CTCs as most systems require either an initial CTC isolation or antibody-based capture for CTC enumeration. Many size-based CTC detection and isolation microfluidic platforms have been presented in the past few years. Here we describe a new size-based, multiple-row cancer cell entrapment device that captured LNCaP-C4-2 prostate cancer cells with >95% efficiency when in spiked mouse whole blood at ∼50 cells/mL. The capture ratio and capture limit on each row was optimized and it was determined that trapping chambers with five or six rows of micro constriction channels were needed to attain a capture ratio >95%. The device was operated under a constant pressure mode at the inlet for blood samples which created a uniform pressure differential across all the microchannels in this array. When the cancer cells deformed in the constriction channel, the blood flow temporarily slowed down. Once inside the trapping chamber, the cancer cells recovered their original shape after the deformation created by their passage through the constriction channel. The CTCs reached the cavity region of the trapping chamber, such that the blood flow in the constriction channel resumed. On the basis of this principle, the CTCs will be captured by this high-throughput entrapment chip (CTC-HTECH), thus confirming the potential for our CTC-HTECH to be used for early stage CTC enrichment and entrapment for clinical diagnosis using liquid biopsies.

Indexed as

Cell SeparationMicrofluidic Analytical TechniquesCell Line, TumorHumansMaleNeoplastic Cells, CirculatingProstatic Neoplasms

Identifiers

PMID29790741
PMCPMC6830444

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Registered trials

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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.