Minimal 16q Genomic Loss Implicates <i>Cadherin-11</i> in Retinoblastoma
Bibliographic record
Abstract
Retinoblastoma is initiated by loss of both RB1 alleles. Previous studies have shown that retinoblastoma tumors also show further genomic gains and losses. We now define a 2.62 Mbp minimal region of genomic loss of chromosome 16q22, which is likely to contain tumor suppressor gene(s), in 76 retinoblastoma tumors, using loss of heterozygosity (30 of 76 tumors) and quantitative multiplex PCR (71 of 76 tumors). The sequence-tagged site WI-5835 within intron 2 of the cadherin-11 (CDH11) gene showed the highest frequency of loss (54%, 22 of 41 samples tested). A second hotspot for loss (39%, 9 of 23 samples tested) was detected within intron 2 of the cadherin-13 (CDH13) gene. Furthermore, deletion of the exons of CDH11 and/or WI-5835 was shown by quantitative multiplex PCR in 17 of 30 (57%) of previously untested tumors. Immunoblot analyses revealed that 91% (20 of 22) retinoblastoma exhibited either a complete loss or a decrease of the intact form of CDH11 and 8 of 13 showed a prevalent band suggestive of the variant form. Copy number of WI-5835 for these samples correlated with CDH11 protein expression. CDH11 staining was evident in the inner nuclear layer in early mouse retinal development and in small transgenic murine SV40 large T antigen-induced retinoblastoma tumors, but advanced tumors frequently showed loss of CDH11 expression by reverse transcription-PCR, suggestive of a role for CDH11 in tumor progression or metastasis. CDH13 protein and mRNA were consistently expressed in all human and murine retinoblastoma compared with normal adult human retina. Our analyses implicate CDH11, but not CDH13, as a potential tumor suppressor gene in retinoblastoma.
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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 | 0.000 |
| 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) | 0.002 | 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".