Trastuzumab-induced cardiac dysfunction: A 'dual-hit'.
Bibliographic record
Abstract
Trastuzumab (Trz) is a monoclonal antibody against the human epidermal growth factor receptor 2 that is found to be overexpressed in 25% to 30% of breast cancer patients. In spite of the therapeutic benefits of Trz, cardiotoxic side effects are still an issue. This effect is potentiated particularly when Trz is administered following doxorubicin (DOX) treatment. Among the various mechanisms that may account for DOX and Trz-induced cardiotoxicity, the role of oxidative stress has gained significant support. The present review discusses the evidence supporting the hypothesis that oxidative stress comes from multiple sources through an increase in the production of reactive oxygen species and/or a decrease in antioxidant defense systems. The adjuvant use of Trz can potentiate cardiomyocyte damage through a 'dual-hit' mechanism, which includes inhibition of the neuregulin-1 survival signalling pathway and angiotensin II-induced activation of NADPH oxidase, with the ability to further increase reactive oxygen species production. Preventive therapies for DOX- and Trz-induced cardiac dysfunction have eluded investigators, but may include the prophylactic use of angiotensin-converting enzyme inhibitors, beta-blockers and use of antioxidants. Thus, a better understanding of the mechanisms leading to this characteristic drug-induced cardiomyopathy, as well as potential cardioprotective strategies is required.
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 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 | 0.000 | 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) | 0.001 | 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".