Evidence map›Paper›PMID 29660005›Full record

Trial reportNeuro-oncology2018

Volumetric response quantified using T1 subtraction predicts long-term survival benefit from cabozantinib monotherapy in recurrent glioblastoma.

Benjamin M Ellingson, Dana T Aftab, Gisela M Schwab, Colin Hessel, Robert J Harris, Davis C Woodworth, Kevin Leu, Ararat Chakhoyan, Catalina Raymond, Jan Drappatz and 12 more

Registry-linked trialOpen access · bronzeAbstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00704288 (A Phase 2 Study of XL184 in Subjects With Progressive or Recurrent Glioblastoma Multiforme in First or Second Relapse), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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.

NCT00704288 phase2completednot on this map

A Phase 2 Study of XL184 in Subjects With Progressive or Recurrent Glioblastoma Multiforme in First or Second Relapse

TypeinterventionalSponsorExelixisRan2008 to 2012Enrolled222ConditionsGlioblastoma MultiformeArmsXL184
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Depth of Radiographic Response and Time to Tumor Regrowth Predicts Overall Survival Following Anti-VEGF Therapy in Recurrent Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Cabozantinib for the treatment of solid tumors: a systematic review.Therapeutic advances in medical oncology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Multiparametric MR-PET Imaging Predicts Pharmacokinetics and Clinical Response to GDC-0084 in Patients with Recurrent High-Grade Glioma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    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

22 authors at 10 institutions in 1 country.

Benjamin M EllingsonUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Dana T AftabExelixis, South San Francisco, California.
Gisela M SchwabExelixis, South San Francisco, California.
Colin HesselExelixis, South San Francisco, California.
Robert J HarrisUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Davis C WoodworthUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Kevin LeuUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Ararat ChakhoyanUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Catalina RaymondUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Jan DrappatzDepartment of Neurology and Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
John de GrootDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Michael D PradosDepartment of Neurosurgery, University of California San Francisco (UCSF), San Francisco, California.
David A ReardonCenter for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
David SchiffNeuro-Oncology Center, University of Virginia Health System, Charlottesville, Virginia.
Marc ChamberlainDepartment of Neurology, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Tom MikkelsenHenry Ford Health System, Detroit, Michigan.
Annick DesjardinsDepartment of Neurosurgery, Duke University Medical Center, Durham, North Carolina.
Jaymes HollandExelixis, South San Francisco, California.
Jerry PingExelixis, South San Francisco, California.
Ron WeitzmanExelixis, South San Francisco, California.
Patrick Y WenCenter for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Timothy F CloughesyUCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
University of California, Los Angeles · USExelixis (United States) · USCenter for Neuro-Oncology · USDuke Medical Center · USHenry Ford Health System · USThe University of Texas MD Anderson Cancer Center · USUniversity of California, San Francisco · USUniversity of Pittsburgh Medical Center · USUniversity of Virginia Health System · USUniversity of Washington · US

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

Background: To overcome challenges with traditional response assessment in anti-angiogenic agents, the current study uses T1 subtraction maps to quantify volumetric radiographic response in monotherapy with cabozantinib, an orally bioavailable tyrosine kinase inhibitor with activity against vascular endothelial growth factor receptor 2 (VEGFR2), hepatocyte growth factor receptor (MET), and AXL, in an open-label, phase II trial in patients with recurrent glioblastoma (GBM) (NCT00704288). Methods: A total of 108 patients with adequate imaging data and confirmed recurrent GBM were included in this retrospective study from a phase II multicenter trial of cabozantinib monotherapy (XL184-201) at either 100 mg (N = 87) or 140 mg (N = 21) per day. Contrast enhanced T1-weighted digital subtraction maps were used to define volume of contrast-enhancing tumor at baseline and subsequent follow-up time points. Volumetric radiographic response (>65% reduction in contrast-enhancing tumor volume from pretreatment baseline tumor volume sustained for more than 4 wk) was tested as an independent predictor of overall survival (OS). Results: Volumetric response rate for all therapeutic doses was 38.9% (41.4% and 28.6% for 100 mg and 140 mg doses, respectively). A log-linear association between baseline tumor volume and OS (P = 0.0006) and a linear correlation between initial change in tumor volume and OS (P = 0.0256) were observed. A significant difference in OS was observed between responders (median OS = 20.6 mo) and nonresponders (median OS = 8.0 mo) (hazard ratio [HR] = 0.3050, P < 0.0001). Multivariable analyses showed that continuous measures of baseline tumor volume (HR = 1.0233, P < 0.0001) and volumetric response (HR = 0.2240, P < 0.0001) were independent predictors of OS. Conclusions: T1 subtraction maps provide value in determining response in recurrent GBM treated with cabozantinib and correlated with survival benefit.

Indexed as

Contrast MediaAdultAgedAnilidesBrain NeoplasmsFemaleFollow-Up StudiesGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisProtein Kinase InhibitorsPyridinesAnilidescabozantinibContrast MediaProtein Kinase InhibitorsPyridines

Identifiers

PMID29660005
PMCPMC6120362
OpenAlexW2796029155

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.