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Access for adolescents and young adults with hard-to-cure cancer to PROFYLE: The pan-Canadian precision oncology pipeline.

2024· article· en· W4399281323 on OpenAlexaffabout
Lesleigh S. Abbott, Stephanie A. Grover, Jan‐Willem Henning, Sapna Oberoi, David Malkin

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsCancerCare ManitobaHospital for Sick ChildrenChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineOncologyPrecision oncologyInternal medicinePrecision medicineCancerPipeline (software)Pathology

Abstract

fetched live from OpenAlex

10012 Background: Cancer is the most common cause of disease-related death in children, adolescents and young adults (CAYA). Approximately, 1.5% of patients with cancer in Canada are adolescents and young adults (AYAs) (age 15-29). AYAs often present with advanced disease and limited access to clinical trials including genomic testing. The PRecision Oncology For Young peopLE (PROFYLE) national, collaborative program, was created to provide equitable access to molecular profiling to identify novel targeted treatment options for CAYA with hard-to-cure cancers. The AYA node of PROFYLE aims to enhance the inclusion of AYAs across Canada at pediatric and adult centers while raising awareness of improving cancer outcomes of this underserved population. Methods: Building upon 3 pre-existing regional precision oncology programs, PROFYLE was implemented as the first pan-Canadian precision oncology pipeline. The PROFYLE study is multi-centred, non-randomized, interventional, and qualitative. Inclusion criteria: ≤29y; treatment at a Canadian center; diagnosis of a hard-to-cure cancer. It includes genomic and transcriptomic sequencing of paired germline and cancer fresh/frozen samples. Actionable findings, potential targeted therapy options including available clinical trials, clarification of diagnosis, and genetic counseling recommendations are provided to the clinical care team. Results: To date, > 1,200 CAYA are included from all provinces. Of these, 33% were AYAs. Cancer diagnoses included: 47% sarcoma, 15% leukemia/lymphoma, 13% CNS tumor, 25% other. Of the AYAs enrolled, 53% had ≥1 significant tumour profiling finding (48% specific mutations/fusions; 6% DNA repair defect signature, hypermutation, microsatellite instability, chromosomal instability; 3% predictors of therapeutic resistance; 5% outliers in gene expression). 71% had potentially useful findings (15% diagnostic; 9% prognostic; 59% therapeutic; 2% etiologic; 15% cancer predisposition; 2% secondary germline; 0.5% pharmacogenetic). 23% had a pathogenic/likely pathogenic germline variant. 60% had ≥1 potentially actionable somatic alteration. 64% of clinicians indicated that molecular findings impacted clinical management (12% diagnostic; 6% prognostic, 60% therapeutic; 16% germline genetic). 24% indicated a change in treatment planning in response to these findings. Conclusions: The goal of developing a national precision oncology pipeline that provides equitable access to molecular profiling in a clinically relevant timeframe has been realized through the establishment of PROFYLE. Findings demonstrate that the sequencing platform provided medically informative results in the majority of enrolled AYAs. The success of PROFYLE underscores the importance of the continuing efforts to increase the access to this precision oncology initiative for all AYAs with cancer in Canada.

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)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.137
GPT teacher head0.506
Teacher spread0.369 · 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 designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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