Evidence map›Paper›PMID 33415568›Full record

ArticleClinical & experimental metastasis2021

EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis.

Jenna Kitz, David Goodale, Carl Postenka, Lori E Lowes, Alison L Allan

Open access · hybridAbstract read
In one paragraph

Article in Clinical & experimental metastasis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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  16. Recent Advances in Methods for Circulating Tumor Cell Detection.International journal of molecular sciences · 2023
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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

5 authors at 2 institutions in 1 country.

Jenna KitzLondon Regional Cancer Program, London Health Sciences Centre, London, Canada.
David GoodaleLondon Regional Cancer Program, London Health Sciences Centre, London, Canada.
Carl PostenkaLondon Regional Cancer Program, London Health Sciences Centre, London, Canada.
Lori E LowesFlow Cytometry, London Health Sciences Centre, London, Canada.
Alison L AllanLondon Regional Cancer Program, London Health Sciences Centre, London, Canada. alison.allan@lhsc.on.ca.
London Health Sciences Centre · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) present an opportunity to detect/monitor metastasis throughout disease progression. The CellSearch® is currently the only FDA-approved technology for CTC detection in patients. The main limitation of this system is its reliance on epithelial markers for CTC isolation/enumeration, which reduces its ability to detect more aggressive mesenchymal CTCs that are generated during metastasis via epithelial-to-mesenchymal transition (EMT). This Technical Note describes and validates two EMT-independent CTC analysis protocols; one for human samples using Parsortix® and one for mouse samples using VyCap. Parsortix® identifies significantly more mesenchymal human CTCs compared to the clinical CellSearch® test, and VyCap identifies significantly more CTCs compared to our mouse CellSearch® protocol regardless of EMT status. Recovery and downstream molecular characterization of CTCs is highly feasible using both Parsortix® and VyCap. The described CTC protocols can be used by investigators to study CTC generation, EMT and metastasis in both pre-clinical models and clinical samples.

Indexed as

Epithelial-Mesenchymal TransitionAnimalsApoptosisBreast NeoplasmsCell ProliferationDisease ProgressionFemaleHumansMaleMiceMice, NudeNeoplasm MetastasisNeoplastic Cells, CirculatingProstatic NeoplasmsTumor Cells, CulturedXenograft Model Antitumor AssaysCellSearch®Circulating tumor cellsEpithelial-to-mesenchymal transitionMetastasisParsortix®VyCap

Identifiers

PMID33415568
PMCPMC7882592
OpenAlexW3119328667

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.