Evidence map›Paper›PMID 10933067›Full record

ReviewNeoplasia (New York, N.Y.)

Use of reporter genes for optical measurements of neoplastic disease in vivo.

C H Contag, D Jenkins, P R Contag, R S Negrin

Open access · goldAbstract readReview
In one paragraph

Review in Neoplasia (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
11.2field-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

108 citing papers in PubMed, 367 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Molecular Imaging with Reporter Genes: Has Its Promise Been Delivered?Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Review
  10. Article
  11. Article
  12. QualitativeBio-protocol · 2018
    Article
  13. Anti-prostate cancer activity of 8-hydroxyquinoline-2-carboxaldehyde-thiosemicarbazide copper complexes in vivo by bioluminescence imaging.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Stem Cell Monitoring with a Direct or Indirect Labeling Method.Nuclear medicine and molecular imaging · 2016
    Review
  18. Article
  19. Review
  20. Article

48 more citing papers are in PubMed but not listed here.

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.

C H ContagDepartment of Pediatrics, Stanford University Medical Center, Stanford University, CA, USA. ccontag@cmgm.stanford.edu
D Jenkins
P R Contag
R S Negrin
Stanford University · USStanford Medicine · US

Funding

VISUALIZING TUMORS AND MECHANISMS OF THERAPY IN VIVOR01CA080006 · NCI · STANFORD UNIVERSITY · PI NEGRIN, ROBERT S · 1999 to 2007
$1.6M
NCI NIH HHS R01 CA080006NCI NIH HHS R01 CA80006
6 · The paper itself

Abstract

Revealing the cellular and molecular changes associated with cancer, as they occur in intact living animal models of human neoplastic disease, holds tremendous potential for understanding disease mechanisms and elucidating effective therapies. Since light is transmitted through mammalian tissues, at a low level, optical signatures conferred on tumor cells by expression of reporter genes encoding bioluminescent and fluorescent proteins can be detected externally using sensitive photon detection systems. Expression of reporter genes, such as the bioluminescent enzyme firefly luciferase (Luc) or variants of green fluorescent protein (GFP) in transformed cells, can effectively be used to reveal molecular and cellular features of neoplasia in vivo. Tumor cell growth and regression in response to various therapies have been evaluated non-invasively in living experimental animals using these reporter genes. Detection of Luc-labeled cells in vivo was extremely sensitive with signals over background from as few as 1000 human tumor cells distributed throughout the peritoneal cavity of a mouse with linear relationships between cell number and signal intensity over five logs. GFP offers the strength of high-resolution ex vivo analyses following in vivo localization of the tumor. The dynamic range of Luc detection allows the full disease course to be monitored since disease progression from small numbers of cells to extensive disease can be assessed. As such, therapies that target minimal disease as well as those designed for late stage disease can be readily evaluated in animal models. Real time spatiotemporal analyses of tumor cell growth can reveal the dynamics of neoplastic disease, and facilitate rapid optimization of effective treatment regimens. Thus, these methods improve the predictability of animal models of human disease as study groups can be followed over time, and can accelerate the development of therapeutic strategies.

Indexed as

Genes, ReporterAnimalsDiagnostic ImagingGreen Fluorescent ProteinsHumansLuciferasesLuminescent ProteinsNeoplasmsTime FactorsTumor Cells, CulturedGreen Fluorescent ProteinsLuciferasesLuminescent Proteins

Identifiers

PMID10933067
PMCPMC1550286
OpenAlexW2136018508

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.