HER-2 and Topoisomerase II As Predictors of Response to Chemotherapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
HER2 overexpression or amplification has been shown to be associated with a poor prognostic effect in women with breast cancer. At least eight analyses based on randomized trials have examined the relationship between HER2 and the differential effect of anthracycline compared with non-anthracycline-containing regimens. Only three of these studies were sufficiently powered to show a significant interaction between HER2 and anthracycline- versus non-anthracycline-containing treatments, but because all of the study results tended to be in the same direction, it is not surprising that three recent meta-analyses of published data have suggested that anthracycline-containing regimens provide more benefit than non-anthracycline-containing regimens in women whose tumors are overexpressed or amplified (positive) for HER2. Since topoisomerase II is a known target of the anthracyclines, it has been postulated that this relationship is actually based on the proximity of HER2 to the topoisomerase II alpha gene (TOP2A) in the 17q chromosome. At least four recent studies have suggested that deletion and amplification of the TOP2A gene are associated with poor prognosis and are predictive of greater response to anthracycline-containing than to non-anthracycline-containing regimens. However, in at least one of those studies, HER2 positivity was as or more predictive. Although it has been suggested that HER2 positivity is predictive of better response to higher-dose anthracycline-containing regimens compared with standard anthracycline-containing regimens and to taxane- compared with non-taxane-containing regimens, these relationships have not been robust or consistent. Additional studies will be required to clarify these relationships.
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.
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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it