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Record W4362593887 · doi:10.1158/1538-7445.am2023-4509

Abstract 4509: A pan-Canadian precision oncology program for children, adolescents and young adults with hard-to-cure cancer: The PRecision Oncology For Young peopLE (PROFYLE) Program

2023· article· en· W4362593887 on OpenAlexaffabout
Stephanie A. Grover, Lesleigh S. Abbott, Jason N. Berman, Guillaume Bourque, Jennifer A. Chan, Avram Denburg, Rebecca Deyell, Conrad V. Fernandez, Cynthia Hawkins, Jan‐Willem Henning, Meredith S. Irwin, Nada Jabado, Steven J.M. Jones, Philipp F. Lange, Paul Moorehead, Michael F. Moran, Daniel A. Morgenstern, Sapna Oberoi, Antonia Palmer, Shahrad R. Rassekh, Donna L. Senger, Adam Shlien, Daniel Sinnett, Caron Strahlendorf, Patrick J. Sullivan, Michael D. Taylor, Suzanne Vercauteren, Anita Villani, Stephanie Villeneuve, James A. Whitlock, David Malkin

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineOccupational Cancer Research CentreCancerCare ManitobaSpinal Cord Injury BCMcGill UniversityMcGill University Health CentreIzaak Walton Killam Health CentreBC Children's HospitalChildren's Hospital of Eastern OntarioUniversity of CalgaryBaker Hughes (Canada)Concordia UniversityCancer Care OntarioHospital for Sick Children
Fundersnot available
KeywordsMedicineCancerOncologyInternal medicinePrecision medicineDiseaseFamily medicinePathology

Abstract

fetched live from OpenAlex

Abstract Background: Over 4,300 children, adolescents, and young adults (CAYA) are diagnosed with cancer each year in Canada, 1/3 of whom have refractory/metastatic disease or will relapse. 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 in a clinically relevant timeframe for all CAYA with hard-to-cure cancers in Canada. Design: Building upon 3 pre-existing regional precision oncology programs, PROFYLE now includes >20 institutions and has united an interdisciplinary team of experts, leaders, research teams, end-users and advocates from across Canada. The program has 14 domain specific nodes that are unified by a shared governance structure, and has harmonized biobanking, genomics, bioinformatics and reporting procedures. PROFYLE includes genomic and transcriptomic sequencing of paired germline and cancer fresh/frozen samples, proteomic analysis, and cancer modelling. Inclusion criteria: ≤29y; treatment at a Canadian center; diagnosis of a hard-to-cure cancer. Profiling results are reviewed by multidisciplinary Molecular Tumor Boards. A report including a results/recommendations summary of actionable findings (therapeutic, diagnostic, prognostic, cancer predisposition), potential targeted therapy options including available clinical trials, clarification of diagnosis, and genetic counseling recommendations is provided to the treating oncologist. Results: >1,000 CAYA are included from all of the provinces. Cancer diagnoses: 34% sarcoma, 16% leukemia/lymphoma, 16% CNS tumor, 11% neuroblastoma, 23% other. 17% of participants had a cancer-predisposing pathogenic/likely pathogenic germline variant, 45% had ≥1 potentially actionable somatic alteration, 22.6% had a therapeutically targetable somatic alteration. The most frequent classes of therapeutic alterations were RAS/MAPK (15%), cell cycle (14%), epigenetic (13%), RTK (12%), PI3K/AKT/mTOR (11%), DNA repair (9%), immune checkpoint (8%). Of clinicians who reported the utility of results, 55% indicated the findings were useful for clinical management. Future Directions: Collaborations with other national and international initiatives and data from this interdisciplinary, multi-institutional research program will inform the development of a framework to innovatively link research, clinical and system considerations with Canadian values relevant to multi-omic profiling and drug access for CAYA. In addition, we believe that with a comprehensive molecular view of cancer, PROFYLE will transform our understanding of underlying disease mechanisms, facilitate and improve diagnostic and prognostic indicators, and identify new therapeutic strategies and targets for CAYA patients with cancer. Citation Format: Stephanie A. Grover, Lesleigh Abbott, Jason N. Berman, Guillaume Bourque, Jennifer A. Chan, Avram E. Denburg, Rebecca J. Deyell, Conrad V. Fernandez, Cynthia Hawkins, Jan-Willem Henning, Meredith S. Irwin, Nada Jabado, Steven J. Jones, Philipp F. Lange, Paul Moorehead, Michael F. Moran, Daniel A. Morgenstern, Sapna Oberoi, Antonia Palmer, Shahrad R. Rassekh, Donna L. Senger, Adam Shlien, Daniel Sinnett, Caron Strahlendorf, Patrick J. Sullivan, Michael D. Taylor, Suzanne Vercauteren, Anita Villani, Stephanie Villeneuve, James A. Whitlock, David Malkin, on behalf of the PROFYLE Consortium. A pan-Canadian precision oncology program for children, adolescents and young adults with hard-to-cure cancer: The PRecision Oncology For Young peopLE (PROFYLE) Program. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4509.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.971
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.000
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.004

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 head0.053
GPT teacher head0.436
Teacher spread0.383 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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