Evidence map›Paper›PMID 22527498›Full record

ReviewRecent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer2012

Emerging technologies for CTC detection based on depletion of normal cells.

Maryam Lustberg, Kris R Jatana, Maciej Zborowski, Jeffrey J Chalmers

Abstract readReview
In one paragraph

Review in Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
43.3field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 66 citations in OpenAlex.

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  14. Circulating Hybrid Cells Join the Fray of Circulating Cellular Biomarkers.Cellular and molecular gastroenterology and hepatology · 2019
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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

4 authors at 2 institutions in 1 country.

Maryam LustbergInternal Medicine, Division of Medical Oncology, The Ohio State University, Columbus, OH 43210, USA.
Kris R Jatana
Maciej Zborowski
Jeffrey J Chalmers
The Ohio State University · USCleveland Clinic · US

Funding

University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
Magnetophoretic Cell Sorting and AnalysisR01CA062349 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI ZBOROWSKI, MACIEJ · 1994 to 2015
$5.5M
NCI NIH HHS R01 CA062349NCRR NIH HHS UL1 RR025755
6 · The paper itself

Abstract

Properly conducted, an enrichment step can improve selectivity, sensitivity, yield, and most importantly, significantly reduce the time needed to isolate rare circulating tumor cells (CTCs). The enrichment process can be broadly categorized as positive selection versus negative depletion, or in some cases, a combination of both. We have developed a negative depletion CTC enrichment strategy that relies on the removal of normal cells using immunomagnetic separation in the blood of cancer patients. This method is based on the combination of magnetic and fluid forces in an axial, laminar flow in long cylinders placed in quadrupole magnets. Using this technology, we have successfully isolated CTCs from patients with breast carcinoma and squamous cell carcinoma of the head and neck. In contrast to a positive selection methodology, this approach provides an unbiased characterization of these cells, including markers associated with epithelial mesenchymal transition.

Indexed as

Neoplastic Cells, CirculatingHumansImmunomagnetic SeparationNeoplasms

Identifiers

PMID22527498
PMCPMC3775349
OpenAlexW1553632592

What OpenQuestion holds

Textmetadata
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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.