The ShcA adaptor protein is a critical regulator of breast cancer progression
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
Breast cancer affects 1 in 8 North American women throughout their lifetime and is the second leading cause of cancer-related deaths. Breast cancer is a heterogeneous disease whose progression from hyperplasia to ductal carcinoma in situ and invasive carcinoma is regulated by the aberrant expression of multiple mediators; including growth factors, cytokines, chemokines and proteases that are produced both by the mammary tumor itself and the adjacent reactive stroma. These signals promote tumor cell proliferation, survival, establishment of a tumor vasculature, invasion and ultimately metastasis to secondary organs. Moreover, the ability of the tumor to create a state of local immune suppression allows tumor cells to evade clearance by the immune system. ShcA is an adaptor protein that relays extracellular signals downstream of receptor tyrosine kinases. Clinical studies suggest that activation of the ShcA signaling pathway is associated with poor patient prognosis. Moreover, recent studies with transgenic mouse models have clearly demonstrated the importance of tumor autonomous ShcA signaling, as well as signaling in cells comprising the tumor microenvironment, for the regulation of these biological processes, which contribute to breast cancer development and metastasis.
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) | 0.001 | 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) | 0.000 | 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