Evidence map›Paper›PMID 17032496›Full record

ArticleNeoplasia (New York, N.Y.)2006

Noninvasive optical tracking of red fluorescent protein-expressing cancer cells in a model of metastatic breast cancer.

Paul T Winnard, Jessica B Kluth, Venu Raman

Erratum issuedOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in Neoplasia (New York, N.Y.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Paul T WinnardDepartment of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Jessica B Kluth
Venu Raman
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Theranostic Imaging of Metastatic Prostate CancerP50CA103175 · NCI · JOHNS HOPKINS UNIVERSITY · PI BARKER, PETER B · 2003 to 2015
$17.9M
NCI NIH HHS P50 CA103175
6 · The paper itself

Abstract

We have evaluated the use of the Xenogen IVIS 200 imaging system for real-time fluorescence protein-based optical imaging of metastatic progression in live animals. We found that green fluorescent protein-expressing cells (100 x 10(6)) were not detectable in a mouse cadaver phantom experiment. However, a 10-fold lower number of tdTomato-expressing cells were easily detected. Mammary fat pad xenografts of stable MDA-MB-231-tdTomato cells were generated for the imaging of metastatic progression. At 2 weeks postinjection, barely palpable tumor burdens were easily detected at the sites of injection. At 8 weeks, a small contralateral mammary fat pad metastasis was imaged and, by 13 weeks, metastases to lymph nodes were detectable. Metastases with nodular composition were detectable within the rib cage region at 15 weeks. 3-D image reconstructions indicated that the detection of fluorescence extended to approximately 1 cm below the surface. A combination of intense tdTomato fluorescence, imaging at > or = 620 nm (where autofluorescence is minimized), and the sensitivity of the Xenogen imager made this possible. This study demonstrates the utility of the noninvasive optical tracking of cancer cells during metastatic progression with endogenously expressed fluorescence protein reporters using detection wavelengths of > or = 620 nm.

Indexed as

AnimalsBreast NeoplasmsCell MovementDisease ProgressionFemaleHumansLuminescent ProteinsMammary Neoplasms, AnimalMiceMicroscopy, FluorescenceNeoplasm MetastasisOptics and PhotonicsRed Fluorescent ProteinTransplantation, HeterologousLuminescent ProteinsRed Fluorescent Protein

Identifiers

PMID17032496
PMCPMC1715931
OpenAlexW2146662450

What OpenQuestion holds

Textmetadata
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.