Intratumoral Heterogeneity of HER2/neu in Breast Cancer?A Rare Event
Bibliographic record
Abstract
HER2/neu is overexpressed in about 20% of invasive breast carcinomas. Numerous studies have shown that there is high level of concordance between the HER2/neu status of the primary breast cancer and the metastases of a given patient. Recently, changes in HER2/neu status with tumor progression have been reported, suggesting the possibility of an emerging different tumor clone. Little is known about intratumoral heterogeneity with regard to HER2/neu oncoprotein overexpression. We identified nine cases of invasive ductal carcinoma that showed intratumoral variation in HER2/neu oncoprotein expression by immunohistochemistry. This was confirmed by the intratumoral variation in the amplification status of the HER2/neu gene by fluorescence in situ hybridization and by chromogenic in situ hybridization. The results of this study suggest that some cases of primary breast carcinoma are heterogeneous in regard to HER2/neu gene amplification or protein overexpression. Heterogeneity of HER2/neu status in a tumor may be a rare event or underestimated. This phenomenon should be examined as it may contribute to a better understanding of the variation in therapeutic responses and the conflicting data in studies about the prognostic and predictive role of HER2/neu status in subsets of breast cancer patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".