Integration of Distinct ShcA Signaling Complexes Promotes Breast Tumor Growth and Tyrosine Kinase Inhibitor Resistance
Bibliographic record
Abstract
Abstract The commonality between most phospho-tyrosine signaling networks is their shared use of adaptor proteins to transduce mitogenic signals. ShcA (SHC1) is one such adaptor protein that employs two phospho-tyrosine binding domains (PTB and SH2) and key phospho-tyrosine residues to promote mammary tumorigenesis. Receptor tyrosine kinases (RTK), such as ErbB2, bind the ShcA PTB domain to promote breast tumorigenesis by engaging Grb2 downstream of the ShcA tyrosine phosphorylation sites to activate AKT/mTOR signaling. However, breast tumors also rely on the ShcA PTB domain to bind numerous negative regulators that limit activation of secondary mitogenic signaling networks. This study examines the role of PTB-independent ShcA pools in controlling breast tumor growth and resistance to tyrosine kinase inhibitors. We demonstrate that PTB-independent ShcA complexes predominately rely on the ShcA SH2 domain to activate multiple Src family kinases (SFK), including Src and Fyn, in ErbB2-positive breast cancers. Using genetic and pharmacologic approaches, we show that PTB-independent ShcA complexes augment mammary tumorigenesis by increasing the activity of the Src and Fyn tyrosine kinases in an SH2-dependent manner. This bifurcation of signaling complexes from distinct ShcA pools transduces non-redundant signals that integrate the AKT/mTOR and SFK pathways to cooperatively increase breast tumor growth and resistance to tyrosine kinase inhibitors, including lapatinib and PP2. This study mechanistically dissects how the interplay between diverse intracellular ShcA complexes impacts the tyrosine kinome to affect breast tumorigenesis. Implications: The ShcA adaptor, within distinct signaling complexes, impacts tyrosine kinase signaling, breast tumor growth, and resistance to tyrosine kinase inhibitors. Mol Cancer Res; 16(5); 894–908. ©2018 AACR.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".