Evidence map›Paper›PMID 29235051›Full record

ArticleJournal of neuro-oncology2018

Development of the CNS TAP tool for the selection of precision medicine therapies in neuro-oncology.

Joseph R Linzey, Bernard L Marini, Amy Pasternak, Cory Smith, Zac Miklja, Lili Zhao, Chandan Kumar-Sinha, Alyssa Paul, Nicholas Harris, Patricia L Robertson and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Precision diagnostics in children.Cambridge prisms. Precision medicine · 2023
    Review
  5. Upfront Biology-Guided Therapy in Diffuse Intrinsic Pontine Glioma: Therapeutic, Molecular, and Biomarker Outcomes from PNOC003.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Successful treatment of aBMJ case reports · 2019
    Article
  10. 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

14 authors at 2 institutions in 1 country.

Joseph R LinzeyDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA.
Bernard L MariniDepartment of Pharmacy Services, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Amy PasternakDepartment of Pharmacy Services, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Cory SmithDepartment of Pharmacy Services, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Zac MikljaDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA.
Lili ZhaoDepartment of Biostatistics, School of Public Heath, University of Michigan, Ann Arbor, MI, USA.
Chandan Kumar-SinhaDepartment of Pathology, Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Alyssa PaulDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA.
Nicholas HarrisDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA.
Patricia L RobertsonDivision of Neurology, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Lindsey M HoffmanUniversity of Colorado Denver School of Medicine, Denver, CO, 80045, USA.
Arul ChinnaiyanDepartment of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Rajen ModyDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA.
Carl KoschmannDivision of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan Medical School, 3520 D MSRB 1, 1150 W Medical Center Dr., Ann Arbor, MI, 48109, USA. ckoschma@med.umich.edu.ORCID http://orcid.org/0000-0002-0825-7615
University of Michigan · USUniversity of Colorado Denver · US

Funding

Sequencing, Analysis, and Interpretation of SequencingUM1HG006508 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROBERTS, SCOTT · 2013 to 2016
$7.8M
Targeting ATRX-Deficient Pediatric GBMK08NS099427 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOSCHMANN, CARL J · 2017 to 2021
$811k
National Institute of Neurological Disorders and Stroke K08-NS099427-01National Institutes of Health 1UM1HG006508NHGRI NIH HHS UM1 HG006508NINDS NIH HHS K08 NS099427
6 · The paper itself

Abstract

The number of targeted therapies utilized in precision medicine are rapidly increasing. Neuro-oncology offers a unique challenge due to the varying blood brain barrier (BBB) penetration of each agent. Neuro-oncologists face a difficult task weighing the growing number of potential targeted therapies and their likelihood of BBB penetration. We developed the CNS TAP Working Group and performed an extensive literature review for the evidence-based creation of the CNS TAP tool, which was retrospectively validated by analyzing brain tumor patients who underwent therapy targeted based on genomic results from an academic sequencing study (MiOncoseq, n = 17) or private molecular profiling (Foundation One, n = 7). The CNS TAP tool scores relevant targeted agents by applying multiple variables (i.e., pre-clinical data, clinical data, BBB permeability) to patient specific genomic information and clinical trial availability. In the Michigan cohort, the CNS TAP tool predicted the selected agent 85.7% of the time. The CNS TAP tool predicted the agent independently selected by pediatric neuro-oncologists in the Colorado cohort 50% of the time. Patients with recurrent brain tumors treated with agents predicted by the CNS TAP tool demonstrated a median progression-free survival of 4 months and four patients with recurrent high-grade glioma maintained ongoing partial responses of at least 6 months. The CNS TAP tool is a formalized algorithm to assist clinicians select the optimal targeted therapy for neuro-oncology patients. The CNS TAP tool has relatively high concordance with selected therapies and clinical outcomes in patients receiving targeted therapy in this heterogeneous retrospective cohort were promising.

Indexed as

AdolescentAdultAlgorithmsAntineoplastic AgentsBlood-Brain BarrierBrain NeoplasmsChildChild, PreschoolClinical Decision-MakingHumansInfantMedical OncologyPrecision MedicineRetrospective StudiesAntineoplastic AgentsAlgorithmNeuro-oncologyPrecision medicineTargeted therapy

Identifiers

PMID29235051
PMCPMC5823756
OpenAlexW2773350863

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.