Evidence map›Paper›PMID 22425376›Full record

ArticleUltrasound in medicine & biology2012

Contrast ultrasound imaging for identification of early responder tumor models to anti-angiogenic therapy.

Shashank R Sirsi, Molly L Flexman, Fotois Vlachos, Jianzhong Huang, Sonia L Hernandez, Hyun Keol Kim, Tessa B Johung, Jeffrey W Gander, Ari R Reichstein, Brooke S Lampl and 5 more

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Journal of nanobiotechnology · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A novel method for quantitative myocardial contrast echocardiography in mice.American journal of physiology. Heart and circulatory physiology · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Biomarkers in preclinical cancer imaging.European journal of nuclear medicine and molecular imaging · 2015
    Review
  18. Article
  19. Article
  20. Article
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

15 authors at 2 institutions in 1 country.

Shashank R SirsiDepartment of Mechanical Engineering, University of Colorado, Boulder, CO 80309, USA.
Molly L Flexman
Fotois Vlachos
Jianzhong Huang
Sonia L Hernandez
Hyun Keol Kim
Tessa B Johung
Jeffrey W Gander
Ari R Reichstein
Brooke S Lampl
Antai Wang
Andreas H Hielscher
Jessica J Kandel
Darrell J Yamashiro
Mark A Borden
Columbia University · USUniversity of Colorado Boulder · US

Funding

The Role of Inflammation and Stroma in Digestive CancerU54CA126513 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID A. · 2006 to 2010
$5.1M
VEGF blockade and alternative angiogenic pathways in neuroblastomaR01CA124644 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YAMASHIRO, DARRELL J · 2008 to 2012
$2.0M
Immune-Shielded, Ultrasound-Stimulated Contrast Agents for Molecular ImagingR01EB009066 · NIBIB · UNIVERSITY OF COLORADO · PI BORDEN, MARK ANDREW, DAYTON, PAUL A · 2008 to 2011
$1.2M
Small Animal Tomography System for Green Fluorescent Protein ImagingR33CA118666 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HIELSCHER, ANDREAS H · 2008 to 2011
$1.1M
COMBINED ULTRASOUND/MOLECULAR ANALYSIS OF TUMOR RESPONSE TO VEGF BLOCKADER21CA139173 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BORDEN, MARK ANDREW, KANDEL, JESSICA J · 2009 to 2010
$420k
NCI NIH HHS 5R01CA124644NCI NIH HHS 5U54CA126513-039001NCI NIH HHS R21 CA139173NCI NIH HHS R21CA139173NCI NIH HHS R33CA118666NIBIB NIH HHS R01 EB009066NIBIB NIH HHS R01EB009066
6 · The paper itself

Abstract

Agents targeting vascular endothelial growth factor (VEGF) have been validated as cancer therapeutics, yet efficacy can differ widely between tumor types and individual patients. In addition, such agents are costly and can have significant toxicities. Rapid noninvasive determination of response could provide significant benefits. We tested if response to the anti-VEGF antibody bevacizumab (BV) could be detected using contrast-enhanced ultrasound imaging (CEUS). We used two xenograft model systems with previously well-characterized responses to VEGF inhibition, a responder (SK-NEP-1) and a non-responder (NGP), and examined perfusion-related parameters. CEUS demonstrated that BV treatment arrested the increase in blood volume in the SK-NEP-1 tumor group only. Molecular imaging of α(V)β(3) with targeted microbubbles was a more sensitive prognostic indicator of BV efficacy. CEUS using RGD-labeled microbubbles showed a robust decrease in α(V)β(3) vasculature following BV treatment in SK-NEP-1 tumors. Paralleling these findings, lectin perfusion assays detected a disproportionate pruning of smaller, branch vessels. Therefore, we conclude that the response to BV can be identified soon after initiation of treatment, often within 3 days, by use of CEUS molecular imaging techniques. The use of a noninvasive ultrasound approach may allow for earlier and more effective determination of efficacy of antiangiogenic therapy.

Indexed as

Angiogenesis InhibitorsAnimalsAntibodies, Monoclonal, HumanizedBevacizumabBlood VolumeContrast MediaDisease ProgressionMiceMice, NudeMicrobubblesNeovascularization, PathologicNeuroblastomaPrognosisRegression AnalysisSarcoma, EwingUltrasonographyAngiogenesis InhibitorsAntibodies, Monoclonal, HumanizedBevacizumabContrast MediaVascular Endothelial Growth Factor A

Identifiers

PMID22425376
PMCPMC3348332
OpenAlexW2013515958

What OpenQuestion holds

Textmetadata
LicenceTDM
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.