Faculty Opinions recommendation of LASP1 promotes nasopharyngeal carcinoma progression through negatively regulation of the tumor suppressor PTEN.
Bibliographic record
Abstract
LIM and SH3 protein 1 (LASP1) enhances tumor growth and metastasis in various cancers, but its role in nasopharyngeal carcinoma (NPC) remains unclear.Herein, we investigated the role of LASP1 in NPC and explored the underlying mechanisms in NPC.Clinically, overexpression of LASP1 is associated with tumor metastasis and poor prognosis of NPC patients.Gain-of-function and loss-of-function assays showed that LASP1 promoted NPC cell proliferation, metastasis, and invasion in vitro and in vivo.Mechanistically, we observed clear co-localization between LASP1 and PTEN in NPC cells.LASP1 interacted with PTEN and decreased the expression of PTEN in NPC.The ubiquitination assay indicated that LASP1 overexpression increased PTEN ubiquitination.PTEN was known as a tumor suppressor by negatively regulating phosphoinositide 3-kinase/AKT signaling pathway.Rescue experiments showed that PTEN weakened LASP1-mediated cell proliferation, migration, and invasive abilities and decreased the phosphorylation of AKT in NPC cells.Our findings suggest that LASP1 has a crucial role in NPC progression via LASP1/ PTEN/AKT axis, highlighting LASP1 as a therapeutic target for NPC.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.094 | 0.051 |
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".