MAGE‐A9 mRNA and protein expression in bladder cancer
Bibliographic record
Abstract
In a previous analysis, we showed that MAGE-As were the most frequently expressed cancer-testis antigens in human bladder tumours. Here, we further characterized by RT-PCR the expression of this family of genes by analyzing specifically MAGE-A3, -A4, -A8 and -A9 mRNAs in 46 bladder tumours and 10 normal urothelia. We found that they were expressed in 30, 33, 56 and 54% of tumours, respectively. Although MAGE-A8 was the most frequent, its expression was low and was also found in most normal urothelia. The other MAGE-A mRNAs were all tumour-specific but MAGE-A9 mRNA was expressed at a higher level and was two times more frequent in superficial than in invasive tumours. To study the expression of the protein, we produced 2 MAGE-A9-specific monoclonal antibodies (mAbs) presenting no cross-reactivity with other MAGE-A proteins. MAb 14A11, was used to analyse the expression of the antigen in testis and tumour samples by immunohistochemistry. In testis, MAGE-A9 expression was restricted to primary spermatocytes. Most bladder tumours that expressed the MAGE-A9 transcript were positive with mAb 14A11. Staining was heterogeneous but half of the tumours showed over 75% positive cells. Finally, we showed that treatment of bladder cancer cells with the methylation inhibitor, 5-aza-2'-deoxycytidine, alone or in combination with the histone deacetylase inhibitors MS-275 and 4-phenylbutyrate could strongly induce the expression of MAGE-A9. These results show that MAGE-A9 is frequently expressed in superficial bladder cancer and could be a relevant target for immunotherapy or chemoimmunotherapy because its expression can be induced by chemotherapeutic drugs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".