Clinical Management and Tumor Surveillance Recommendations of Inherited Mismatch Repair Deficiency in Childhood
Bibliographic record
Abstract
Abstract Replication proofreading is crucial to avoid mutation accumulation in dividing cells. In humans, proofreading and replication repair is maintained by the exonuclease domains of DNA polymerases and the mismatch repair system. Individuals harboring germline mutations in genes involved in this process are at increased risk of early cancers from multiple organs. Biallelic mutations in any of the four mismatch repair genes MSH2, MSH6, MLH1, and PMS2 result in one of the most aggressive childhood cancer predisposition syndromes, termed constitutional mismatch repair deficiency or constitutional mismatch repair deficiency syndrome (CMMRD). Data gathered in the last decade allow us to better define the clinical manifestations, tumor spectrum, and diagnostic algorithms for CMMRD. In this article, we summarize this information and present a comprehensive consensus surveillance protocol for these individuals. Ongoing research will allow for further definition of replication repair–deficient cancer syndromes, assessing the cost-effectiveness of such surveillance protocols and potential therapeutic interventions for these children and families. Clin Cancer Res; 23(11); e32–e37. ©2017 AACR. See all articles in the online-only CCR Pediatric Oncology Series.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".