Microsatellite instability in multifocal urothelial carcinoma and effect on BAX and AXIN2.
Bibliographic record
Abstract
OBJECTIVES: Urothelial carcinomas have a synchronous or metachronous multifocal pattern of occurrence, questioning their clonal origin. Genetic alterations such as microsatellite instability (MSI) affect various tumors including urothelial cancers. These alterations can affect repeat sequences and cause mutations in coding regions of genes involved in transformation, tumor suppression and apoptosis. Recently, the eight-guanine (G8) and the seven-guanine (G7) repeat sequences of the BAX and AXIN2 genes respectively, were shown altered in different cancers. Since BAX is involved in apoptosis while the AXIN2 is involved in beta-catenin metabolism, a protein involved in cell adhesion and DNA transcription, and due to the multifocal nature of urothelial cancer, we investigated these two genes for alterations in repeat sequences in patients with this cancer. PATIENTS AND METHODS: The eight microsatellites BAT25, BAT26, D2S123, D3S1029, D5S346, D17S588, D17S261, MYCL1 were used to screen 25 tumors from seven patients with eight upper and 17 lower urinary tract carcinomas and compare them to DNA from normal tissue. Regions spanning the G8 and G7 repeat sequences of BAX and AXIN2 were sequenced for mutations including expansion and deletion abnormalities. RESULTS: Six microsatellites were seen altered in one patient with kidney and bladder cancer affecting both tissues when compared to normal DNA albeit not similarly except for MYCL1. There was no change in the BAX G8 or AXIN2 G7 microsatellites. There was no MSI seen in any of the remaining six patients. CONCLUSION: MSI occurs in urothelial cancer, but was not seen to affect the BAX G8 or AXIN2 G7 repeats in this study. However, to determine if MSI affects these genes in these tumors will require a larger study. Moreover, our results suggest that these tumors may have a monoclonal origin with further genetic changes resulting in oligoclonality, or could suggest a similar initiating event leading to a similar initial genetic alteration at different sites with subsequent varying events due to a genetically unstable malignant phenotype.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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 | 0.000 |
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".