Prognostic implication of GATA3 gene mutation on survival in invasive ductal carcinoma of the breast.
Bibliographic record
Abstract
e13114 Background: GATA3 encodes a transcription factor, which is involved in activation and suppression of genes involved in cell maturation. GATA3 is necessary in the adult mammary gland to maintain the integrity and function of the luminal epithelium. Methods: METABRIC project funded by cancer research UK, the British Columbia cancer foundation and the Canadian breast cancer foundation mapped 173 gene mutations and amplifications in 2,433 primary breast tumors. Retrospective analysis was done for patients with invasive ductal carcinoma of the breast in the age group 30-60; to study the effect of GATA3 mutation on survival. Median survival was obtained from Kaplan-Meier plot, and mortality between groups was compared by Odds ratio (OR). Results: A total of 1500 patients across all age groups had invasive ductal carcinoma. 650 were within the age group 30-60; of which 234 died due to the disease, 360 were alive and 55 died due to other causes. 398 patients (61.2%) tested positive for estrogen receptor (ER) and 521 patients (80.2%) were negative for HER2 (human epidermal growth factor receptor 2). TP53 (50%) and PIK3CA (36%) mutations were more prevalent. GATA3 mutation was found in 79 patients (12.34%); among which, all 79 patients tested positive for ER (100%) and 74 patients (94.9%) negative for HER2. 10 patients (12.7%) died due to the disease, 62 patients (78.5%) were alive and 7 patients (8.9%) died due to other causes. Hence, patients with GATA3 mutations were more likely to survive (OR 4.66; CI 2.33-9.29 p < 0.0001) than patients without the mutation. The median survival for patients with GATA3 mutation (300 months) was also greater than patients without the mutation (219 months). In addition, patients with GATA3 mutation were more likely to be ER positive and HER2 negative. Conclusions: In the mammary gland, GATA3 is required for luminal epithelial cell differentiation. Loss of GATA3 results in de-differentiation to stem cell phenotype. It is found that GATA3 mutation correlates with a better prognosis compared to more common TP53 and PIK3CA gene mutations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".