Evidence map›Paper›PMID 20663903›Full record

ArticleCancer research2010

A cancer detection platform which measures telomerase activity from live circulating tumor cells captured on a microfilter.

Tong Xu, Bo Lu, Yu-Chong Tai, Amir Goldkorn

Abstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  15. Blood-based biopsies-clinical utility beyond circulating tumor cells.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
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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.

Tong XuDivision of Medical Oncology, Department of Internal Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Bo Lu
Yu-Chong Tai
Amir Goldkorn

Funding

Targeting Cancer with Telomerase InterferenceK08CA126983 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOLDKORN, AMIR · 2007 to 2011
$760k
NCI NIH HHS K08 CA126983NCI NIH HHS K08 CA126983-01
6 · The paper itself

Abstract

Circulating tumor cells (CTC) quantified in cancer patients' blood can predict disease outcome and response to therapy. However, the CTC analysis platforms commonly used cannot capture live CTCs and only apply to tumors of epithelial origin. To address these limitations, we have developed a novel cancer detection platform which measures telomerase activity from live CTCs captured on a parylene-C slot microfilter. Using a constant low-pressure delivery system, the new microfilter platform was capable of cell capture from 1 mL of whole blood in less than 5 minutes, achieving 90% capture efficiency, 90% cell viability, and 200-fold sample enrichment. Importantly, the captured cells retained normal morphology by scanning electron microscopy and could be readily manipulated, further analyzed, or expanded on- or off-filter. Telomerase activity--a well-recognized universal cancer marker--was reliably detected by quantitative PCR from as few as 25 cancer cells added into 7.5 mL of whole blood and captured on the microfilter. Moreover, significant telomerase activity elevation was also measured from patients' blood samples and from single cancer cells lifted off of the microfilter. Live CTC capture and analysis is fast and simple yet highly quantitative, versatile, and applicable to nearly all solid tumor types, making this a highly promising new strategy for cancer detection and characterization.

Indexed as

Case-Control StudiesCell Line, TumorCell SeparationHumansMaleMicrofluidic Analytical TechniquesNeoplastic Cells, CirculatingPolymersProstatic NeoplasmsTelomeraseXylenesparylenePolymersTelomeraseXylenes

Identifiers

PMID20663903
PMCPMC2922429

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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.