Constitutive deficiency in DNA mismatch repair: is it time for Lynch III?
Bibliographic record
Abstract
Hereditary non-polyposis colorectal cancer (HNPCC), also known as Lynch syndrome types I and II, and the related subtypes Turcot and Muir-Torre syndrome, have all been associated with inheritance of germ line mutations in the DNA mismatch repair (MMR) genes. Fifty individuals have recently been identified with an early onset of a different spectrum of cancers associated with inheritance of two MMR mutations--resulting either in a constitutive loss of MMR function, or greatly impaired MMR function. In contrast to Lynch I and II individuals, individuals with inheritance of homozygous or compound heterozygous mutations in the MMR genes that result in a complete lack of protein, present with hematological and brain malignancies in the first decade of life. Biallelic mutations with compromised but residual protein function present with a broader spectrum of cancers (brain, hematological or gastrointestinal) in the second to fourth decades of life. We propose that inheritance of two MMR mutations in an individual and the unique tumor spectrum that occurs with an early onset should be defined separately from Lynch syndrome I and II, or the subtypes Turcot and Muir-Torre. We suggest Lynch III as an appropriate name for identifying individuals with constitutively compromised MMR associated with biallelic mutations.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".