Evidence map›Paper›PMID 26202682›Full record

ArticleJournal of the Royal Society, Interface2015

In silico analysis suggests differential response to bevacizumab and radiation combination therapy in newly diagnosed glioblastoma.

Andrea Hawkins-Daarud, Russell Rockne, David Corwin, Alexander R A Anderson, Paul Kinahan, Kristin R Swanson

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Digital twins in medicine.Nature computational science · 2024
    Review
  5. Article
  6. Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  7. Article
  8. Review
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

6 authors at 4 institutions in 1 country.

Andrea Hawkins-DaarudDepartment of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA.
Russell RockneDepartment of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA.
David CorwinDepartment of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA.
Alexander R A AndersonIntegrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA.
Paul KinahanDepartment of Radiology, University of Washington, Seattle, WA 98195-7987, USA.
Kristin R SwansonDepartment of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA kraeswanson@gmail.com.
Northwestern University · USMoffitt Cancer Center · USNeurological Surgery · USUniversity of Washington · US

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Patient-specific predictive modeling that integrates advanced cancer imagingR01CA164371 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., SWANSON, KRISTIN R · 2011 to 2015
$4.5M
NCI NIH HHS R01 CA 16437NCI NIH HHS R01 CA164371NCI NIH HHS U54 CA 143970
6 · The paper itself

Abstract

Recently, two phase III studies of bevacizumab, an anti-angiogenic, for newly diagnosed glioblastoma (GBM) patients were released. While they were unable to statistically significantly demonstrate that bevacizumab in combination with other therapies increases the overall survival of GBM patients, there remains a question of potential benefits for subpopulations of patients. We use a mathematical model of GBM growth to investigate differential benefits of combining surgical resection, radiation and bevacizumab across observed tumour growth kinetics. The differential hypoxic burden after gross total resection (GTR) was assessed along with the change in radiation cell kill from bevacizumab-induced tissue re-normalization when starting therapy for tumours at different diagnostic sizes. Depending on the tumour size at the time of treatment, our model predicted that GTR would remove a variable portion of the hypoxic burden ranging from 11% to 99.99%. Further, our model predicted that the combination of bevacizumab with radiation resulted in an additional cell kill ranging from 2.6×10(7) to 1.1×10(10) cells. By considering the outcomes given individual tumour kinetics, our results indicate that the subpopulation of patients who would receive the greatest benefit from bevacizumab and radiation combination therapy are those with large, aggressive tumours and who are not eligible for GTR.

Indexed as

ChemoradiotherapyComputer SimulationModels, BiologicalBevacizumabCell HypoxiaGlioblastomaHumansBevacizumabbevacizumabglioblastomahypoxiamathematical modelradiationsurgery

Identifiers

PMID26202682
PMCPMC4535409
OpenAlexW1750499427

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.