Evidence map›Paper›PMID 23125011›Full record

ReviewCurrent oncology reports2013

Incorporation of prognostic and predictive factors into glioma clinical trials.

Derek R Johnson, Evanthia Galanis

Abstract readReview
In one paragraph

Review in Current oncology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Long noncoding RNA MALAT1 associates with the malignant status and poor prognosis in glioma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  11. Prognostic value of long noncoding RNA MALAT1 in digestive system malignancies.International journal of clinical and experimental medicine · 2015
    Article
  12. Article
  13. Article
  14. Article
  15. Glioblastoma extracellular vesicles: reservoirs of potential biomarkers.Pharmacogenomics and personalized medicine · 2014
    Review
  16. Review
  17. 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

2 authors.

Derek R JohnsonDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA. johnson.derek1@mayo.edu
Evanthia Galanis

Funding

Targeted MV-CEA as a Potent Antitumor Agent against GBMP50CA108961 · NCI · MAYO CLINIC ROCHESTER · PI O'NEILL, BRIAN PATRICK · 2004 to 2015
$22.5M
Measles Virotherapy and radiovirotherapy in the Treatment of recurrent gliomasR01CA154348 · NCI · MAYO CLINIC ROCHESTER · PI GALANIS, EVANTHIA · 2011 to 2014
$1.3M
NCI NIH HHS P50 CA108961NCI NIH HHS R01 CA154348
6 · The paper itself

Abstract

Treatment of brain tumors is increasingly informed by biomarkers that predict patient prognosis and response to therapy. While this progress represents a great opportunity for the field of neuro-oncology, it also presents significant challenges. Biomarkers are not straightforward to identify, and previously used clinical trial paradigms are poorly suited to the task of identifying treatments effective only in selected subsets of patients. Unless investigators adapt new tools and procedures that better account for the biological diversity of gliomas, future clinical trials run the dual risk of missing important treatment effects and exposing patients to interventions destined to prove ineffective for their tumors. In this article, we will review the progress made in the past decade with respect to biomarkers in neuro-oncology, address barriers to ongoing progress, and discuss clinical trial designs that may prove useful in moving neuro-oncology fully into the era of personalized medicine.

Indexed as

Brain NeoplasmsGliomaBiomarkers, TumorClinical Trials as TopicHumansPredictive Value of TestsBiomarkers, Tumor

Identifiers

PMID23125011
PMCPMC3869572

What OpenQuestion holds

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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.