Evidence map›Paper›PMID 25539263›Full record

Trial reportAJR. American journal of roentgenology2015

CT perfusion as an imaging biomarker in monitoring response to neoadjuvant bevacizumab and radiation in soft-tissue sarcomas: comparison with tumor morphology, circulating and tumor biomarkers, and gene expression.

Avinash Kambadakone, Sam S Yoon, Tae-Min Kim, Daniel L Karl, Dan G Duda, Thomas F DeLaney, Dushyant V Sahani

Open access · greenAbstract readClinical Trial, Phase IIComparative Study
In one paragraph

Trial report in AJR. American journal of roentgenology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
  2. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. HyperpolarizedJournal of Cancer · 2017
    Article
  8. Article
  9. Article
  10. Molecular Predictors of Radiotherapy Response in Sarcoma.Current treatment options in oncology · 2016
    Review
  11. Review
  12. 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

7 authors at 3 institutions in 1 country.

Avinash Kambadakone1 Division of Abdominal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit St, Boston, MA 02114.
Sam S Yoon
Tae-Min Kim
Daniel L Karl
Dan G Duda
Thomas F DeLaney
Dushyant V Sahani
Massachusetts General Hospital · USHarvard University · USMemorial Sloan Kettering Cancer Center · US

Funding

HIFs and VEGF in sarcoma progression, metastasis, and radiation responseR01CA158301 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SIMON, M. CELESTE, YOON, SAM SUNGHYUN · 2011 to 2021
$4.1M
Bevacizumab and radiation therapy for sarcomasR21CA117128 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI YOON, SAM SUNGHYUN · 2006 to 2007
$637k
NCI NIH HHS 1R01 CA158301-01NCI NIH HHS 1R21 CA117128-01NCI NIH HHS R01 CA158301NCI NIH HHS R21 CA117128
6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the role of CT perfusion in monitoring response to neoadjuvant antiangiogenic and radiation therapy in resectable soft-tissue sarcomas and correlate the findings with tumor size, circulating and tumor biomarkers, and gene expression. SUBJECTS AND

methodsThis phase II clinical trial included 20 patients (13 men and 7 women; mean age, 55 years) with soft-tissue sarcomas who were undergoing treatment with the antiangiogenic drug bevacizumab followed by bevacizumab, radiation, and surgical resection. The patients underwent CT perfusion and diagnostic contrast-enhanced CT at baseline, at 2 weeks after bevacizumab therapy, and after completion of bevacizumab and radiation therapy. Multiple CT perfusion parameters (blood flow, blood volume, mean transit time, and permeability) were correlated with tumor size, circulating and tumor biomarkers, and gene expression.

resultsTwo weeks after bevacizumab therapy, there was substantial fall in blood volume (31.9% reduction, p = 0.01) with more pronounced reduction in blood flow, blood volume, and permeability after treatment completion (53-64% reduction in blood flow, blood volume, and permeability; p = 0.001), whereas tumor size showed no significant change (p = 0.34). Tumors with higher baseline blood volume and lower baseline tumor size showed superior response to bevacizumab and radiation (p = 0.05). There was also an increase in median plasma vascular endothelial growth factor and placental-derived growth factor concentration after bevacizumab therapy paralleled by a decrease in tumor perfusion depicted by CT perfusion, although this was not statistically significant (p = 0.4). The baseline tumor microvessel density (MVD) correlated with blood flow (p = 0.04). At least 20 different genes were differentially expressed in tumors with higher and lower baseline perfusion.

conclusionCT perfusion is more sensitive than tumor size for monitoring early and late response to bevacizumab and radiation therapy. CT perfusion parameters correlate with MVD, and the gene expression levels of baseline tumors could potentially predict treatment response.

Indexed as

AdultAngiogenesis InhibitorsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabBiomarkers, TumorChemoradiotherapyFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoadjuvant TherapyNeoplastic Cells, CirculatingNeovascularization, PathologicPerfusion ImagingAngiogenesis InhibitorsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabBiomarkers, TumorbevacizumabCT perfusionradiation therapysoft-tissue sarcoma

Identifiers

PMID25539263
PMCPMC4479405
OpenAlexW2064847348

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.