Abstract 1821: International Study of Embryonal Tumors
Bibliographic record
Abstract
Abstract Background The International Study on Embryonal Tumours (ISET) was initiated by epidemiologists and pediatric clinicians in 13 countries worldwide including 7 in Europe (UK, the Netherlands, Italy France, Serbia, Macedonia, Czech Republic), 3 in America (California USA, Canada, Brazil), and 3 in Asia / Oceania (India, Japan, and Australia), in collaboration with the International Agency for Research on Cancer. The study is focused on the etiology of non-CNS embryonal tumors which have been severely under-studied to date. Due to their rarity, past studies of these tumors have been underpowered and an international effort is required to accrue sufficient numbers of cases. The full study will include retinoblastoma, Wilms tumor, rhabdomyosarcoma, neuroblastoma and hepatoblastoma. Our main objective is to conduct a comprehensive study to investigate the effect of perinatal factors, molecular profiles and gene-environment interaction on the risk of these tumors. Methods This study is based on a case-control trio design, which has been shown to be a powerful design for genetic association and it is robust against the bias due to population stratification. For childhood cancer, the parent-child trio design is particularly appropriate as it can be used to study maternal-fetal effects and parent of origin such as imprinting. We collect information on parental environmental exposure history, medical and family history, as well as data on neonatal and infancy history of the index child by detailed interview with a standardized questionnaire. We obtain DNA samples from the trios. Tumor samples will also be collected in collaboration with clinical trials groups for disease characterization. We plan to investigate the effect of perinatal factors and incorporate molecular profiles of the trios such as epigenetic aberration, germline variation and DNA repair capacity, to conduct comprehensive investigations on gene-environment interactions. Results The pilot study of Wilms tumor and neuroblastoma has been launched in Australia, France, Czech Republic, Serbia, Macedonia and Canada in 2009 and 2010. The estimated number of patients to be recruited varies by study center and cancer site, with a total of approximately 1400 per year (including 640 Wilms tumor and 400 neuroblastoma). The participation rate for case trios is between 70-80%, and among the participating families, more than 95% are willing to provide biological samples. The results of the pilot study will be presented. The pilot results also indicate that the adjustment of study protocol and questionnaire to local requirement is necessary for multicenter study at international scale. Discussion ISET Investigators aim to improve the understanding of etiology and pathogenesis of these tumors, providing new tools for their prevention and control. Greater understanding of factors leading to the development of these tumors may improve surveillance, diagnosis, prognosis, and treatment of these childhood malignancies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1821.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".