Evidence map›Paper›PMID 28401190›Full record

ArticleMolecular & cellular oncology2017

Multigene profiling of single circulating tumor cells.

Seung-Min Park, Dawson J Wong, Chin Chun Ooi, Jared C Nesvet, Viswam S Nair, Shan X Wang, Sanjiv S Gambhir

Abstract read
In one paragraph

Article in Molecular & cellular oncology, 2017. 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

7 authors.

Seung-Min ParkDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Dawson J WongDepartment of Electrical Engineering, Stanford University , Stanford, CA, USA.
Chin Chun OoiDepartment of Chemical Engineering, Stanford University , Stanford, CA, USA.
Jared C NesvetDepartment of Chemistry, Stanford University , Stanford, CA, USA.
Viswam S NairDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA.
Shan X WangDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA; Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA.
Sanjiv S GambhirDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA.

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI SINCLAIR, ROBERT · 2015 to 2019
$9.6M
NCI NIH HHS U54 CA199075
6 · The paper itself

Abstract

Numerous techniques for isolating circulating tumor cells (CTCs) have been developed. Concurrently, single-cell techniques that can reveal molecular components of CTCs have become widely available. We discuss how the combination of isolation and multigene profiling of single CTCs in our platform can facilitate eventual translation to the clinic.

Indexed as

Circulating tumor cellsrare-cell sortingsingle-cell analysis

Identifiers

PMID28401190
PMCPMC5383366

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.