DNAR-09. THE IMPACT OF MISMATCH REPAIR DEFICIENCY ON HIGH GRADE GLIOMAS IN CHILDREN, ADOLESCENTS AND YOUNG ADULTS; A REPORT FROM THE IRRDC AND THE GLIOMA TASKFORCE
Bibliographic record
Abstract
Abstract Mismatch repair deficiency (MMRD) is a pan-cancer mechanism resulting in universal hypermutation and aggressive cancers that are resistant to chemoradiation yet sensitive to immunotherapy. MMRD mutations can occur somatically or be inherited as a part of Lynch Syndrome or Constitutional Mismatch Repair Deficiency (CMMRD). Although MMRD affects children, adolescents and young adults (CAYA, ages 0-40) with gliomas, its prevalence and impact of germline inheritance is unknown. Given that high microsatellite instability (MSI) is a key characteristic of MMRD, we previously developed a robust low-coverage whole genome-based tool to quantify MSI, which allows for accurate MMRD detection. We are therefore performing a large-scale MMRD screen of CAYA high grade gliomas (HGGs) and utilizing data from the International Replication Repair Deficiency Consortium (IRRDC) to determine the impact of germline mutations in MMRD gliomas. Ongoing data on 346 HGGs from CAYA patients reveals that MMRD is identified in 6% of HGGs and is not present in tumors with pediatric type alterations. Moreover, of MMRD tumors with IDH1 mutations, none harbor 1p/19q co-deletions. Of patients with available information, all are diagnosed with Lynch Syndrome (69%) or CMMRD (31%), with all Lynch Syndrome diagnoses occurring in patients above 18 years of age. Complementary data from the IRRDC on 113 MMRD patients with gliomas reveal that the median age of glioma is 9.7 and 17.5 years in CMMRD and Lynch Syndrome, respectively (p < 0.001). Strikingly, CMMRD gliomas are enriched for secondary polymerase mutations (60%, p < 0.001) and exhibit ultra-hypermutation, while MMRD gliomas with Lynch Syndrome are enriched for IDH1 mutations (32%, p < 0.025) and harbor a lower mutational burden. Our data reveal a high prevalence of MMRD in CAYA HGGs with alarming impact of germline predisposition. These data can support universal screening for MMRD in high grade glioma diagnostics and identify patients for precision therapeutics.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".