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Record W4388589064 · doi:10.1093/neuonc/noad179.0692

PATH-63. NEXT GENERATION SEQUENCING FOR CNS TUMORS IN CHILDREN; DOES IT ADD VALUE IN A MIDDLE-INCOME COUNTRY SETUP?

2023· article· en· W4388589064 on OpenAlexaff
Nisreen Amayiri, Maysa Al‐Hussaini, Bayan Maraqa, Qasem Alzoubi, Awni Musharbash, Ahmad Kh. Ibrahimi, Nasim Sarhan, Mouness Obeidat, Cynthia Hawkins, Éric Bouffet

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineTrametinibOncologyInternal medicineTargeted therapyDabrafenibGliomaSarcomaCancerPathologyCancer researchMAPK/ERK pathwayMetastatic melanomaKinase

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION Advances in molecular diagnostics led to improved targeted interventions in the treatment of pediatric CNS tumors. However, the capacity to do these diagnostics is limited in LMICs, and consequently their value is questionable. METHODS We reviewed our experience of Next Generation Sequencing (NGS) testing (TruSight RNA Pan-Cancer seq panel) for pediatric CNS tumors at KHCC/Jordan (March/2022- April/2023). Paraffin blocks’ scrolls were shipped to Sickkids laboratory based on local multidisciplinary team recommendations. We reviewed patients’ clinical characteristics, tumor types and the impact on treatment. RESULTS There were 16 boys and 16 girls; median age at time of testing was 9.5 years (range, 0.9- 21.9 years). Twenty samples were sent at diagnosis and twelve upon tumor progression. Main diagnoses were Low-grade glioma (15), High-grade glioma (10), and other tumors (7). Reasons for NGS testing were: to find a molecular target (20), and to characterize more tumor/behavior (12). The median time from shipping the samples to receive the NGS result was 22 days (range, 15-49 days) at a cost of US$1000. Twenty (63%) tumors had targetable alterations (MAPK/PI3K inhibitors (16), NTRK inhibitors (2), check point inhibitors (2)). Two rare BRAF mutations were identified (BRAFp.G469A, BRAFp.K601E). One tumor diagnosed initially as undifferentiated round-cell sarcoma found to have NAB2::STAT6 fusion and re-diagnosed as aggressive metastatic solitary fibrous tumor. Eight patients received targeted therapy; Dabrafenib/Trametinib (5), Pembrolizumab (2), Entrectinib (1), while radio-chemotherapy was used in the others. Three patients died from disease progression (one used Entrectinib). CONCLUSIONS Sent abroad NGS testing was feasible, however local capacity building is necessary. In this highly selected tumor cohort, high percentage of targetable alterations were identified. NGS was helpful to characterize tumors more and to offer alternative therapies. Nevertheless, interpretation of the significance of NGS results and access to those “new” therapies continues to be a challenge in LMICs

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)0.004
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.056
GPT teacher head0.304
Teacher spread0.248 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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