Src Stimulates Fibroblast Growth Factor Receptor-2 Shedding by an ADAM15 Splice Variant Linked to Breast Cancer
Bibliographic record
Abstract
ADAMs (a disintegrin and metalloproteinase) have important roles in development and diseases such as cancer. Previously, an ADAM15 splice variant (ADAM15B), which contains an inserted cytoplasmic Src-binding site, was linked to clinical aggressiveness in breast cancer, yet little was known about how this splice variant affects the function of ADAM15. Here, we show that ADAM15B has enhanced catalytic activity in cell-based assays compared with ADAM15A, which lacks a Src-binding site, using shedding of fibroblast growth factor receptor 2iiib variant as an assay for catalytic activity. Moreover, the enhanced activity of ADAM15B compared with ADAM15A depends on Src because it is abolished by Src-kinase inhibitors and in Src(-/-) cells, but not in Src(-/-) cells rescued with Src. These findings provide insights into the mechanism of how a splice variant linked to clinical agressiveness in breast cancer causes increased activity of ADAM15B, and suggest that inhibitors of the ADAM15 protease activity or of the interaction of ADAM15B with Src could be useful to treat breast cancer in patients with dysregulated ADAM15B.
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) | 0.002 | 0.001 |
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".