14-3-3 zeta as novel molecular target for cancer therapy
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
INTRODUCTION: 14-3-3ζ acts as a central hub in signaling networks, which promotes cell proliferation, adhesion and survival and inhibits apoptosis in multiple cancers. Development of inhibitors or agents that interfere with 14-3-3ζ-dependent signaling networks are likely to serve as novel molecular agents for targeted cancer therapy. AREAS COVERED: The role of 14-3-3ζ in cancer and its potential as a novel molecular target for therapy. The involvement of 14-3-3ζ in chemoresistance in multiple cancers provides a rationale for developing novel molecular therapies targeting this protein for more effective cancer management. The keywords used to conduct the literature search for this paper were '14-3-3/14-3-3zeta and cancer', '14-3-3 structure', '14-3-3 inhibitors', '14-3-3 cancer prognosis', '14-3-3 and cancer therapy', 'role/ functions of 14-3-3'. EXPERT OPINION: 14-3-3ζ is a central cellular hub protein regulating multiple signaling pathways involved in cancer development, progression and therapeutic resistance. Thus, 14-3-3ζ may serve as a novel molecular target for cancer therapy. New approaches including synthetic and/or natural inhibitors that interfere with 14-3-3ζ-client interactions need to be developed for effective cancer therapy.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it