Abstract A015: Retinoblastoma points to solutions for Early-Onset Cancers
Bibliographic record
Abstract
Abstract Retinoblastoma exists in two starkly different worlds. In our high-income world, >95% of children survive useful vision. In the darker low- and middle-income countries (LMICs), 30% survive with often poor or no vision. Retinoblastoma is the same nasty cancer of infant retina where ever the child lives. The World Health Organization Global Initiative for Childhood Cancer prioritized retinoblastoma as a key indicator because of profound inequity in survival, depending on where the child lives. The 2017 cancer stage includes “H1” for persons with a damaged tumor suppressor RB1 gene, which carries a high risk of retinoblastoma and subsequent malignant neoplasms (SMN). Canadian familial H1 infants are delivered early term, when 30% already have retinal tumors that can be cured with simple therapy, saving vision, eyes, and life. Early identification of H1 persons with other cancer predisposition syndromes will contribute to appropriate monitoring and early low morbidity treatment, but also increase the incidence of early onset cancers. The eCancerCareRB database (only inside SickKids) includes a timeline displaying all treatment events, a key tool in patient care. A potentially “game-changing” clinical trial of Chemoplaque (sustained release 6 weeks of topotecan to the eye only) used our novel SwimmerMatch analysis tool to compare Chemoplaque participants to propensity-matched eCancerCareRB patients, showing improved recurrence-free eye survival (p-value 0.0002, log rank test). Since eCancerCareRB is ONLY inside SickKids, we built cloud-based DEPICT HEALTH (DEPICT) to connect global retinoblastoma care centers worldwide. Families view their DEPICT data. Real-time DEPICT access to clinical data and treatments empowers active family participation in care, a full view for life. Regions/countries will have point-of-care DEPICT data in support of transformative National Guidelines relevant to their financial and technical realities, for them to be ready for the demonstrated increase in incidence of early onset cancers. The World Health Organization's prioritization of retinoblastoma as a key indicator is achieving global cooperation that will be assisted by DEPICT HEALTH. Just as rare retinoblastoma first pointed out that cancer is a genomic disease, these novel clinical trial global data of DEPICT and its analysis tools can be a prototype for any cancer worldwide. Citation Format: Brenda Gallie, Kaitlyn Flegg, Kelvin Chau. Retinoblastoma points to solutions for Early-Onset Cancers [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr A015.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".