Simultaneous Bilateral Breast Carcinomas: A Category with Frequent Coexpression of HER-2 and ER-α, High Ki-67 and bcl-2, and Low p53
Bibliographic record
Abstract
The aim of this study was to evaluate clinicopathological characteristics and immunophenotypes of simultaneous bilateral adenocarcinomas of the breast and their axillary metastases. Immunohistochemical analysis and in situ hybridization were performed using formalin-fixed/paraffin-embedded tissues. In total, 15 primary and 9 metastatic tumors from 8 patients were evaluated. The expression of estrogen receptor-alpha (ER-alpha), progesterone receptor (PR), Ki 67, p53, bcl-2, and bax were evaluated by immunohistochemistry. Her2 gene amplification was evaluated by chromogenic in situ hybridization (CISH). Four patients were younger that 40 years of age (mean 47 years). Six patients had pleomorphic lobular carcinoma in 1 breast. Four of these had invasive ductal carcinoma in the contralateral breast. One patient had atypical medullary carcinoma in both breasts and 1 patient had atypical medullary carcinoma in 1 breast and pleomorphic lobular carcinoma in the other. The phenotype of the primary tumors and corresponding metastatic tumors was similar for the expression of ER-alpha (p=0.001), PR (p=0.03), and HER-2 (p=0.018). While strong coexpression of HER-2 and ER-alpha is exceptional in hereditary breast carcinoma and sporadic breast carcinoma, 6/8 (75%) patients in this study had tumors with strong coexpression of HER-2 and ER-alpha. P53 protein expression was found in only 2/15 (13%) primary tumors, which is in contrast to BRCA1-related hereditary bilateral breast carcinomas, which often express p53 protein. Most of the patients presented with axillary metastases and had very aggressive course. Characteristically, the tumors showed high levels of expression of ER-alpha and Her2 amplification, were bcl-2 positive, and had high Ki-67 fraction. However, in patients with atypical medullary carcinoma there was no expression of ER-alpha or amplification of Her-2.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".