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Record W4388588373 · doi:10.1093/neuonc/noad179.0660

PATH-30. GLIOMAS WITH FGFR ONCOGENIC ALTERATIONS: CLINICO-PATHOLOGICAL FEATURES, MANAGEMENT AND OUTCOMES IN PEDIATRIC, ADOLESCENT AND YOUNG ADULT PATIENTS.

2023· article· en· W4388588373 on OpenAlexaff
Magimairajan Vanan, Saranya Kakumanu, Marshall Pitz, Craig Harlos, Colin Kazina, Patrick J. McDonald, Annie Drapeau, Anthony M. Kaufmann, Aoife O’Carroll, Qi Xu, Tina Drimes, Cathy Bourne, Jessica Streilein, Namita Sinha

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsChildren's Hospital of WinnipegUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsMedicineFibroblast growth factor receptorPathologicalAstrocytomaPilocytic astrocytomaFibroblast growth factor receptor 1GliomaPTPN11Internal medicineOncologyPathologyFibroblast growth factorCancerCancer researchReceptorKRASColorectal cancer

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION Fibroblast growth factor receptor (FGFR1-4) pathway alterations are rare in pediatric cancers (1-3%) but are enriched in certain specific subtypes of difficult to treat pediatric and AYA brain tumors. Some of the common oncogenic alterations include structural variants (fusions, duplications), mutations and amplifications. METHODS We describe here the clinico-pathological features and therapeutic outcomes of pediatric and AYA patients (ages 0-39yrs) with FGFR pathway altered gliomas diagnosed in the past 10yrs (2013-2023). Data was collected from review of patient charts. RESULTS We identified 13 patients with gliomas harboring an oncogenic FGFR alteration. Median age at diagnosis was 16yrs (range, 6-30yrs) and was more common in males (M: F-3:1). Seizures were the most common presenting symptom (N=5/13, 38%); all of these patients had cortical tumors, which were resected and seizures were adequately controlled. A biopsy only approach was done in more than half (N=7/13, 54%) of the patients. Pathological diagnosis included low grade glio-neuronal tumors in all but one of the patients, who had a high-grade glioma (Pilocytic astrocytoma N=6, Diffuse astrocytoma N=2, glio-neuronal tumors N=2, PLNTY N=2). FGFR alterations included oncogenic fusions (FGFR1-TACC1=1, FGFR2-TACC1=1, FGFR2-CTNNA3=2, FGFR3-TACC3=1), tandem duplications (FGFR1-TKD-ITD=3) and mutations (FGFR1- N546K=2, K654E=1, K656E=2). Co-occurring mutations were seen in 4 patients (H3.3-K27M=1, PIK3CA-E545K=1, PTPN11-G503V=1, PTPN11-E69K=1). Patients with symptomatic residual tumors (N=6, 46%) were treated with targeted therapies (Erdafitinib=3, Trametinib=1, Ponatinib / Everolimus=1, Dasatinib=1) and two patients received Radiation therapy. Erdafitinib was discontinued in one patient due to intra-tumoral bleed. Rest of the patients are tolerating the targeted therapy well and all of the patients are alive. CONCLUSION In summary, cortical tumors bearing FGFR alterations present with refractory seizures and are eminently treatable with surgical resection. Targeted therapy with FGFR specific inhibitors is tolerated well and updated response assessment of our patients will be presented in the meeting.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.014
GPT teacher head0.297
Teacher spread0.282 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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