Evidence map›Paper›PMID 26420814›Full record

Trial reportOncotarget2015

Biomarker-driven stratification of disease-risk in non-metastatic medulloblastoma: Results from the multi-center HIT-SIOP-PNET4 clinical trial.

Steven C Clifford, Birgitta Lannering, Ed C Schwalbe, Debbie Hicks, Kieran O'Toole, Sarah Leigh Nicholson, Tobias Goschzik, Anja Zur Mühlen, Dominique Figarella-Branger, François Doz and 4 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

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  16. Article
  17. Medulloblastoma genomics in the modern molecular era.Brain pathology (Zurich, Switzerland) · 2020
    Review
  18. Review
  19. Article
  20. Updates on Management of Adult Medulloblastoma.Current treatment options in oncology · 2019
    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

14 authors.

Steven C CliffordNorthern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Birgitta LanneringDepartment of Pediatrics, University of Gothenburg and The Queen Silvia Children's Hospital, Gothenburg, Sweden.
Ed C SchwalbeNorthern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Debbie HicksNorthern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Kieran O'TooleNorthern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Sarah Leigh NicholsonNorthern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
Tobias GoschzikDepartment of Neuropathology, University of Bonn, Bonn, Germany.
Anja Zur MühlenDepartment of Neuropathology, University of Bonn, Bonn, Germany.
Dominique Figarella-BrangerDepartment of Pathology and Neuropathology, Assistance Publique Hôpitaux de Marseille, Aix Marseille University, Marseille, France.
François DozInstitut Curie and University Paris Descartes, Paris, France.
Stefan RutkowskiUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Göran GustafssonKarolinska Institute, Stockholm, Sweden.
Torsten PietschDepartment of Neuropathology, University of Bonn, Bonn, Germany.
SIOP-Europe PNET Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo improve stratification of risk-adapted treatment for non-metastatic (M0), standard-risk medulloblastoma patients by prospective evaluation of biomarkers of reported biological or prognostic significance, alongside clinico-pathological variables, within the multi-center HIT-SIOP-PNET4 trial.

methodsFormalin-fixed paraffin-embedded tumor tissues were collected from 338 M0 patients (>4.0 years at diagnosis) for pathology review and assessment of the WNT subgroup (MBWNT) and genomic copy-number defects (chromosome 17, MYC/MYCN, 9q22 (PTCH1) and DNA ploidy). Clinical characteristics were reviewed centrally.

resultsThe favorable prognosis of MBWNT was confirmed, however better outcomes were observed for non-MBWNT tumors in this clinical risk-defined cohort compared to previous disease-wide clinical trials. Chromosome 17p/q defects were heterogeneous when assessed at the cellular copy-number level, and predicted poor prognosis when they occurred against a diploid (ch17(im)/diploid(cen)), but not polyploid, genetic background. These factors, together with post-surgical tumor residuum (R+) and radiotherapy delay, were supported as independent prognostic markers in multivariate testing. Notably, MYC and MYCN amplification were not associated with adverse outcome. In cross-validated survival models derived for the clinical standard-risk (M0/R0) disease group, (ch17(im)/diploid(cen); 14% of patients) predicted high disease-risk, while the outcomes of patients without (ch17(im)/diploid(cen)) did not differ significantly from MBWNT, allowing re-classification of 86% as favorable-risk.

conclusionsBiomarkers, established previously in disease-wide studies, behave differently in clinically-defined standard-risk disease. Distinct biomarkers are required to assess disease-risk in this group, and define improved risk-stratification models. Routine testing for specific patterns of chromosome 17 imbalance at the cellular level, and MBWNT, provides a strong basis for incorporation into future trials.

Indexed as

AdolescentAdultBiomarkers, TumorCerebellar NeoplasmsChildChild, PreschoolChromosomes, Human, Pair 17Cohort StudiesFemaleFormaldehydeHumansMaleMedulloblastomaParaffin EmbeddingPrognosisRisk FactorsBiomarkers, TumorFormaldehydebiomarkerclinical trialmedulloblastomastratification

Identifiers

PMID26420814
PMCPMC4770740

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.