Evidence map›Paper›PMID 32490373›Full record

ArticleMaterials today. Bio2020

A melt-electrowritten filter for capture and culture of circulating colon cancer cells.

M L Jørgensen, C Müller, M Sikkersoq, M Nadzieja, Z Zhang, Y Su, J Just, K-L Garm Spindler, M Chen

Open access · goldAbstract read
In one paragraph

Article in Materials today. Bio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Polymers for Melt Electrowriting.Advanced healthcare materials · 2021
    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

9 authors at 2 institutions in 1 country.

M L JørgensenDepartment of Engineering, Aarhus University, Aarhus, Denmark.
C MüllerDepartment of Engineering, Aarhus University, Aarhus, Denmark.
M SikkersoqDepartment of Engineering, Aarhus University, Aarhus, Denmark.
M NadziejaDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
Z ZhangInterdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark.
Y SuDepartment of Engineering, Aarhus University, Aarhus, Denmark.
J JustCenter of Functionally Integrative Neuroscience, Aarhus University, Denmark.
K-L Garm SpindlerDepartment of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.
M ChenDepartment of Engineering, Aarhus University, Aarhus, Denmark.
Aarhus University · DKAarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the major cause of death in cancer patients accounting for about 90% of the mortality. The detection and analysis of the hallmark of metastasis, circulating tumor cells (CTCs), have significant impact in cancer biology and clinical practice. However, the scarcity of CTCs in blood, particularly in that of colorectal cancer patients, is a serious bottleneck in the development of CTC-based precision medicine. Herein, the melt electrowriting (MEW) technology was used for reproductive fabrication of a biocompatible antibody-presenting polycaprolactone filter with tailored porous structure. It is demonstrated, for the first time, that such filter can be used not only to catch cancer cells spiked in whole blood but also to culture the cancer cells directly

Indexed as

BioconjugationCirculating tumor cellsColorectal cancerMelt electrospinning writingOn-site culturePolycaprolactone

Identifiers

PMID32490373
PMCPMC7256632
OpenAlexW3021519870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.