Evidence map›Paper›PMID 37300620›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Isolation of Cancer Cells from Liquid Biopsies Using 3D-Printed Affinity Devices.

Yijia Yang, Kitiara Griffin, Sarah Villareal, Dimitri Pappas

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2023. 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

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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

4 authors.

Yijia YangDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Kitiara GriffinDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Sarah VillarealDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Dimitri PappasDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA. d.pappas@ttu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsies are examination procedures for deciding the grouping of malignant growth cells tracked down in samples of blood and other body fluids. Liquid biopsies are likewise significantly less intrusive than tissue biopsies as they just require small amount of blood or body fluids from the patient. With the utilization of microfluidics, cancer cells can be isolated from the fluid biopsy and achieve early diagnosis. 3D printing is turning out to be progressively well known for microfluidic devices creation. 3D printing has shown multiple advantages compared to traditional microfluidic devices production, including effortless large-scale manufacturing of precise copies, the fuse of new materials, and execution of additional complicated or drawn-out plans that are hard to execute in conventional microfluidic devices. Combining 3D printing with microfluidics makes for a relatively inexpensive analysis of liquid biopsies with a chip that can be more advantageous to use over traditional microfluidic chips. In this chapter, a method for affinity-based separation of cancer cells in a liquid biopsy using a 3D microfluidic chip will be discussed, along with the rationale behind the method.

Indexed as

MicrofluidicsNeoplasmsHumansLab-On-A-Chip DevicesLiquid BiopsyPrinting, Three-Dimensional3D printingBioanalysisCancer isolationLiquid biopsiesMicrofluidics

Identifiers

What OpenQuestion holds

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Registered trials

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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.