Evidence map›Paper›PMID 29108279›Full record

ArticleOncotarget2017

Size-based detection of sarcoma circulating tumor cells and cell clusters.

Masanori Hayashi, Peixuan Zhu, Gregory McCarty, Christian F Meyer, Christine A Pratilas, Adam Levin, Carol D Morris, Catherine M Albert, Kyle W Jackson, Cha-Mei Tang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

43 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Single-Cell RNA Sequencing of Ewing Sarcoma Tumors Demonstrates Transcriptional Heterogeneity and Clonal Evolution.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  7. Minimal Residual Disease in Metastatic Soft Tissue Sarcoma.Current treatment options in oncology · 2025
    Review
  8. Isolation and Characterization of Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. CIRCUS: CIRCUlating tumour cells in soft tissue Sarcoma - a short report.Cancer drug resistance (Alhambra, Calif.) · 2024
    Article
  18. Article
  19. Article
  20. 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

11 authors at 5 institutions in 1 country.

Masanori HayashiSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Peixuan ZhuCreatv MicroTech, Inc., Rockville, MD, USA.
Gregory McCartySidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Christian F MeyerSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Christine A PratilasSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Adam LevinDepartment of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Carol D MorrisDepartment of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Catherine M AlbertSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Kyle W JacksonSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Cha-Mei TangCreatv MicroTech, Inc., Rockville, MD, USA.
David M LoebSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Sidney Kimmel Comprehensive Cancer Center · USJohns Hopkins University · USCreatv MicroTech (United States) · USJohns Hopkins Medicine · USSeattle Children's Hospital · US

Funding

Tissue and Pathology ResourcesU54CA168512 · NCI · SARC · PI BAKER, LAURENCE HOWARD, POLLOCK, RAPHAEL E. · 2012 to 2016
$11.0M
NCI NIH HHS U54 CA168512
6 · The paper itself

Abstract

Metastatic disease is the most important factor in determining the survival of sarcoma patients. Since sarcoma metastasis is predominantly hematogenous, we hypothesized that detection and quantification of circulating tumor cells (CTCs) could reflect response to therapy and risk of metastatic relapse. We evaluated the presence of CTCs using a novel animal model and in the blood of patients with high grade sarcomas utilizing the CellSieve™ size-based low pressure microfiltration system. Sarcoma CTCs were identified based on antibody staining patterns and nuclear morphology. Additionally, RNA was extracted from the CTCs for molecular analysis including demonstration of an EWS-FLI1 translocation, identification of a previously unrecognized p53 mutation in a patient with Ewing sarcoma, and single cell RNA sequencing of CTC from a child with alveolar rhabdomyosarcoma. In mouse xenograft models, the presence of CTC correlates with disease burden and with clinically silent metastases. In human patients, CTCs were readily detected at diagnosis, decreased with successful treatment, and were detectable in the blood of patients with no radiographic evidence of disease prior to the development of overt metastasis. Although evaluation of CTC is established in the care of patients with carcinomas, this technology has yet to be effectively applied to the evaluation and treatment of sarcoma patients. Our work demonstrates that the CellSieve™ microfiltration system can be used to study the biology of CTC in both mouse models and human sarcoma patients, with the potential for application to the monitoring of disease response and prediction of metastatic relapse.

Indexed as

animal modelsbiomarkercirculatingneoplastic cellsxenograft

Identifiers

PMID29108279
PMCPMC5668012
OpenAlexW2752418988

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.