Evidence map›Paper›PMID 34562902›Full record

ArticleBiosensors2021

Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate.

Astrid Lux, Hannah Bott, Nisar Peter Malek, Roland Zengerle, Tanja Maucher, Jochen Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Astrid LuxRobert Bosch GmbH, Corporate Sector Research and Advanced Engineering, Robert-Bosch-Campus 1, 71272 Renningen, Germany.ORCID 0000-0001-6141-4192
Hannah BottRobert Bosch GmbH, Corporate Sector Research and Advanced Engineering, Robert-Bosch-Campus 1, 71272 Renningen, Germany.
Nisar Peter MalekDepartment of Internal Medicine, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Roland ZengerleLaboratory for MEMS Applications, Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
Tanja MaucherRobert Bosch GmbH, Corporate Sector Research and Advanced Engineering, Robert-Bosch-Campus 1, 71272 Renningen, Germany.
Jochen HoffmannRobert Bosch GmbH, Corporate Sector Research and Advanced Engineering, Robert-Bosch-Campus 1, 71272 Renningen, Germany.
Robert Bosch (Germany) · DEUniversity of Freiburg · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) that enter the bloodstream play an important role in the formation of metastases. The prognostic significance of CTCs as biomarkers obtained from liquid biopsies is intensively investigated and requires accurate methods for quantification. The purpose of this study was the capture of CTCs on an optically accessible surface for real-time quantification. A filtration device was fabricated from a transparent material so that capturing of cells could be observed microscopically. Blood samples were spiked with stained tumor cells and the sample was filtrated using a porous structure with pore sizes of 7.4 µm. The possible removal of lysed erythrocytes and the retention of CTCs were assessed. The filtration process was observed in real-time using fluorescence microscopy, whereby arriving cells were counted in order to determine the number of CTCs present in the blood. Through optimization of the microfluidic channel design, the cell retention rate could be increased by 13% (from 76% ± 7% to 89% ± 5%). Providing the possibility for real-time detection significantly improved quantification efficiency even for the smallest cells evaluated. While end-point evaluation resulted in a detection rate of 63% ± 3% of the spiked cells, real-time evaluation led to an increase of 21% to 84% ± 4%. The established protocol provides an advantageous and efficient method for integration of fully automated sample preparation and CTC quantification into a lab-on-a-chip system.

Indexed as

Neoplastic Cells, CirculatingCell CountCell Line, TumorCell SeparationHumansLab-On-A-Chip DevicesMicrofluidicscirculating tumor cellsfiltrationimmunocytochemistrylab-on-a-chipliquid biopsyreal-time detectionsize-based enrichment

Identifiers

PMID34562902
PMCPMC8472380
OpenAlexW3198502390

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.