Targeting Notch-Driven Cytokine Secretion: Novel Therapies for Triple Negative Breast Cancer
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
Compared with other breast cancer subtypes, triple negative breast cancer (TNBC) is an aggressive malignancy with a high recurrence rate and reduced overall survival. Immune checkpoint inhibition (ICI) has shown modest results in this subgroup, highlighting the need for improved targeted therapeutic options. Notch is a defining feature of TNBC and drives the expression of interleukin-1 beta (IL1β) and C-C motif chemokine ligand 2 (CCL2). These cytokines are involved in the recruitment of tumor-associated macrophages (TAMs) to the tumor, resulting in immune evasion and tumor progression. Targeting Notch, IL1β or CCL2 may reduce TAM recruitment and resistance to ICI, illuminating the potential of combination immunotherapy in TNBC.
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 | 0.000 | 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 | 0.001 | 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) | 0.003 | 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