Evidence map›Paper›PMID 38753142›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Microchip for Immunomagnetic Sorting of Circulating Tumor Cells (CTCs).

Lucie Descamps, Emmanuelle Laurenceau, Sophie Cavassila, Léa Payen, Damien Le Roy, Anne-Laure Deman

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lucie DescampsUniversité Claude Bernard Lyon 1, CNRS, INSA Lyon, Ecole Centrale de Lyon, CPE Lyon, INL, Villeurbanne, France.
Emmanuelle LaurenceauEcole Centrale de Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, CPE Lyon, CNRS, INL, Ecully, France.
Sophie CavassilaUniversité Claude Bernard Lyon 1, INSA Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS, Lyon, France.
Léa PayenLaboratoire de Biochimie et Biologie Moléculaire, CICLY UR3738, Groupe Hospitalier Sud, Hospices Civils de Lyon, Pierre Bénite, France.
Damien Le RoyUniversité Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, Villeurbanne, France.
Anne-Laure DemanUniversité Claude Bernard Lyon 1, CNRS, INSA Lyon, Ecole Centrale de Lyon, CPE Lyon, INL, Villeurbanne, France. anne-laure.deman-him@univ-lyon1.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) isolated directly from whole blood opens new perspectives for cancer monitoring and the development of personalized treatments. However, due to their rarity among the multitude of blood cells, it remains a challenge to recover them alive with high level of purity, i.e., with few remaining white blood cells, and in a time frame compatible with the clinical context. Microfluidic chips have emerged as promising tools to address these challenges. We propose a two-step workflow including a pre-enrichment step, performed by a size-based pre-enrichment system, and a purification step, performed by an immunomagnetic chip. Here, we describe the protocol for the fabrication of the immunomagnetic microchip, the preparation of the sample, and the procedure for injection into the microchip allowing the sorting of the CTCs.

Indexed as

Immunomagnetic SeparationLab-On-A-Chip DevicesNeoplastic Cells, CirculatingCell Line, TumorCell SeparationHumansMicrofluidic Analytical TechniquesNeoplasmsCirculating Tumor Cells (CTC)Composite polymerCTC recoveryImmunomagnetic sortingMicrofabricationMicrofluidic chipSample purification

Identifiers

PMID38753142

What OpenQuestion holds

Textmetadata
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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.