Analysis of gene expression in ductal carcinoma in situ of the breast.
Bibliographic record
Abstract
PURPOSE: The risk of recurrence and progression of ductal carcinoma in situ (DCIS) of the breast is best designated by morphological indicators, including the presence of necrosis. Our purpose was to identify molecular alterations underlying progression of DCIS. EXPERIMENTAL DESIGN: We have compared gene expression within a cohort of six cases of DCIS with necrosis (DCIS(necrosis+)) and four cases without necrosis (DCIS(necrosis-)) using microdissection and cDNA microarray. RESULTS: A set of 69 cDNAs from a group of 1,181 was identified that were consistently differentially expressed. Among this set, the mRNA for angio-associated migratory cell protein and a serine threonine protein kinase, nuclear Dbf2 related, were consistently higher in DCIS(necrosis+) and were also found to be overexpressed in the T47D breast cancer cell line subjected to hypoxia. Further study of angio-associated migratory cell protein by quantitative reverse transcriptase-PCR and in situ hybridization analysis of 37 cases of DCIS confirmed higher mRNA expression in DCIS(necrosis+) (P = 0.0095). CONCLUSIONS: This study shows that although levels of gene expression are mostly similar between morphologically different DCIS, consistent differences in expression of a subset of genes can be identified between DCIS with and without necrosis.
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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) | 0.000 | 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".