Evidence map›Paper›PMID 33240820›Full record

ArticleFrontiers in oncology2020

Short-Term Circulating Tumor Cell Dynamics in Mouse Xenograft Models and Implications for Liquid Biopsy.

Amber L Williams, Jessica E Fitzgerald, Fernando Ivich, Eduardo D Sontag, Mark Niedre

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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

27 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. The Pro-Metastatic Roles of ROS.Antioxidants (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Protein Marker-Dependent Drug Discovery Targeting Breast Cancer Stem Cells.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Two-color diffuseJournal of biomedical optics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Near-infrared diffuse in vivo flow cytometry.Journal of biomedical optics · 2022
    Article
  17. Review
  18. Review
  19. Review
  20. Article
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

5 authors at 2 institutions in 1 country.

Amber L WilliamsDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Jessica E FitzgeraldDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Fernando IvichDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Eduardo D SontagDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Mark NiedreDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Northeastern University · USHarvard University · US

Funding

Ultra-Rare Cell In Vivo Flow CytometryR01HL124315 · NHLBI · NORTHEASTERN UNIVERSITY · PI NIEDRE, MARK JONATHAN · 2015 to 2018
$1.5M
NHLBI NIH HHS R01 HL124315
6 · The paper itself

Abstract

motivationCirculating tumor cells (CTCs) are widely studied using liquid biopsy methods that analyze fractionally-small peripheral blood (PB) samples. However, little is known about natural fluctuations in CTC numbers that may occur over short timescales

methodsWe recently developed an optical instrument called "diffuse

resultsFor rare CTCs (fewer than 1 CTC per ml of blood), the use of short DiFC intervals (corresponding to small PB samples) frequently resulted in no detections. For more abundant CTCs, CTC numbers frequently varied by an order of magnitude or more over the time-scales considered. This variance in CTC detections far exceeded that expected by Poisson statistics or by instrument variability. Rather, the data were consistent with significant changes in mean numbers of CTCs on the timescales of minutes and hours.

conclusionsThe observed temporal changes can be explained by known properties of CTCs, namely, the continuous shedding of CTCs from tumors and the short half-life of CTCs in blood. It follows that the number of cells in a blood sample are strongly impacted by the timing of the draw. The issue is likely to be compounded for multicellular CTC clusters or specific CTC subtypes, which are even more rare than single CTCs. However, we show that enumeration can in principle be improved by averaging multiple samples, analysis of larger volumes, or development of methods for enumeration of CTCs directly

Indexed as

circulating tumor cellsdynamicsflow cytometryfluorescenceliquid biopsyoptical devices

Identifiers

PMID33240820
PMCPMC7677561
OpenAlexW3097032645

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.