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Record W3124907493 · doi:10.1200/jco.20.01359

Clinical Outcomes and Patient-Matched Molecular Composition of Relapsed Medulloblastoma

2021· article· en· W3124907493 on OpenAlexafffund
Rahul Kumar, Kyle Smith, Maximilian Deng, Colt Terhune, Giles Robinson, Brent A. Orr, Anthony P. Y. Liu, Tong Lin, Catherine A. Billups, Murali Chintagumpala, Daniel C. Bowers, Tim Hassall, Jordan R. Hansford, Dong-Anh Khuong-Quang, John R. Crawford, Anne Bendel, Sridharan Gururangan, Kristin Schroeder, Éric Bouffet, Ute Bartels, Michael J. Fisher, Richard J. Cohn, Sonia Partap, Stewart J. Kellie, Geoffrey McCowage, Arnold C. Paulino, Stefan Rutkowski, Gudrun Fleischhack, Girish Dhall, Laura J. Klesse, Sarah Leary, Javad Nazarian, Marcel Kool, Pieter Wesseling, Marina Ryzhova, Olga Zheludkova, Andrey Golanov, Roger E. McLendon, Roger J. Packer, Christopher Dunham, Juliette Hukin, Maryam Fouladi, Cláudia C. Faria, José Pimentel, Andrew W. Walter, Nada Jabado, Yoon-Jae Cho, Sébastien Perreault, Sidney Croul, Michal Zápotocký, Cynthia Hawkins, Uri Tabori, Michael D. Taylor, Stefan M. Pfister, Paul Klimo, Frederick A. Boop, David W. Ellison, Thomas E. Merchant, Arzu Onar‐Thomas, Andrey Korshunov, David Jones, Amar Gajjar, Vijay Ramaswamy, Paul A. Northcott

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineMcGill University Health CentreDalhousie UniversityUniversity of TorontoBC Children's HospitalSickKids FoundationHospital for Sick Children
FundersNational Institute of Environmental Health SciencesCanadian Institutes of Health ResearchGenentechEli Lilly and Company
KeywordsMedulloblastomaMedicineOncologyInternal medicineSonic hedgehogRadiation therapyCohortVismodegibPathologyGeneGeneticsBiology

Abstract

fetched live from OpenAlex

PURPOSE We sought to investigate clinical outcomes of relapsed medulloblastoma and to compare molecular features between patient-matched diagnostic and relapsed tumors. METHODS Children and infants enrolled on either SJMB03 (NCT00085202) or SJYC07 (NCT00602667) trials who experienced medulloblastoma relapse were analyzed for clinical outcomes, including anatomic and temporal patterns of relapse and postrelapse survival. A largely independent, paired molecular cohort was analyzed by DNA methylation array and next-generation sequencing. RESULTS A total of 72 of 329 (22%) SJMB03 and 52 of 79 (66%) SJYC07 patients experienced relapse with significant representation of Group 3 and wingless tumors. Although most patients exhibited some distal disease (79%), 38% of patients with sonic hedgehog tumors experienced isolated local relapse. Time to relapse and postrelapse survival varied by molecular subgroup with longer latencies for patients with Group 4 tumors. Postrelapse radiation therapy among previously nonirradiated SJYC07 patients was associated with long-term survival. Reirradiation was only temporizing for SJMB03 patients. Among 127 patients with patient-matched tumor pairs, 9 (7%) experienced subsequent nonmedulloblastoma CNS malignancies. Subgroup (96%) and subtype (80%) stabilities were largely maintained among the remainder. Rare subgroup divergence was observed from Group 4 to Group 3 tumors, which is coincident with genetic alterations involving MYC, MYCN, and FBXW7. Subgroup-specific patterns of alteration were identified for driver genes and chromosome arms. CONCLUSION Clinical behavior of relapsed medulloblastoma must be contextualized in terms of up-front therapies and molecular classifications. Group 4 tumors exhibit slower biological progression. Utility of radiation at relapse is dependent on patient age and prior treatments. Degree and patterns of molecular conservation at relapse vary by subgroup. Relapse tissue enables verification of molecular targets and identification of occult secondary malignancies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.443
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations86
Published2021
Admission routes2
Has abstractyes

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