Evidence map›Paper›PMID 26497209›Full record

ArticleOncotarget2015

Characterization of novel biomarkers in selecting for subtype specific medulloblastoma phenotypes.

Lisa Liang, Christopher Aiken, Robyn McClelland, Ludivine Coudière Morrison, Nazanin Tatari, Marc Remke, Vijay Ramaswamy, Magimairajan Issaivanan, Timothy Ryken, Marc R Del Bigio and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Medulloblastoma: biology and immunotherapy.Frontiers in immunology · 2025
    Review
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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

12 authors at 6 institutions in 2 countries.

Lisa LiangRegenerative Medicine Program, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
Christopher AikenRegenerative Medicine Program, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
Robyn McClellandRegenerative Medicine Program, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
Ludivine Coudière MorrisonRegenerative Medicine Program, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
Nazanin TatariDepartment of Immunology, University of Manitoba, Winnipeg, Manitoba, Canada.
Marc RemkeArthur and Sonia Labatt Brain Tumour Research Centre and Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Vijay RamaswamyArthur and Sonia Labatt Brain Tumour Research Centre and Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Magimairajan IssaivananCancer Care Manitoba (CCMB), Winnipeg, Manitoba, Canada.
Timothy RykenDepartment of Neurosurgery, University of Kansas, Kansas City, Kansas, USA.
Marc R Del BigioDepartment of Pathology, University of Manitoba and Manitoba Institute of Child Health, Winnipeg, Manitoba, Canada.
Michael D TaylorArthur and Sonia Labatt Brain Tumour Research Centre and Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Tamra E Werbowetski-OgilvieRegenerative Medicine Program, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
University of Manitoba · CAHospital for Sick Children · CACancerCare Manitoba · CAChildren's Hospital Research Institute of Manitoba · CASickKids Foundation · CAUniversity of Kansas · US

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Major research efforts have focused on defining cell surface marker profiles for characterization and selection of brain tumor stem/progenitor cells. Medulloblastoma is the most common primary malignant pediatric brain cancer and consists of 4 molecular subgroups: WNT, SHH, Group 3 and Group 4. Given the heterogeneity within and between medulloblastoma variants, surface marker profiles may be subtype-specific. Here, we employed a high throughput flow cytometry screen to identify differentially expressed cell surface markers in self-renewing vs. non-self-renewing SHH medulloblastoma cells. The top 25 markers were reduced to 4, CD271/p75NTR/NGFR, CD106/VCAM1, EGFR and CD171/NCAM-L1, by evaluating transcript levels in SHH tumors relative to samples representing the other variants. However, only CD271/p75NTR/NGFR and CD171/NCAM-L1 maintain differential expression between variants at the protein level. Functional characterization of CD271, a low affinity neurotrophin receptor, in cell lines and primary cultures suggested that CD271 selects for lower self-renewing progenitors or stem cells. Moreover, CD271 levels were negatively correlated with expression of SHH pathway genes. Our study reveals a novel role for CD271 in SHH medulloblastoma and suggests that targeting CD271 pathways could lead to the design of more selective therapies that lessen the broad impact of current treatments on developing nervous systems.

Indexed as

Biomarkers, TumorBrain NeoplasmsFlow CytometryHumansMedulloblastomaPhenotypeBiomarkers, Tumorbiomarkershigh-throughput flow cytometrymedulloblastomaprogenitorsself-renewal

Identifiers

PMID26497209
PMCPMC4770744
OpenAlexW1876501820

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.