Low‐Density Lipoprotein Receptor‐Related Protein 11 Promotes Proliferation in Lung Adenocarcinoma
Bibliographic record
Abstract
Low-density lipoprotein receptor-related protein 11 (LRP11) is reported to be overexpressed in various cancers; however, its functional role in lung adenocarcinoma remains poorly understood. This study aimed to elucidate the tumor-promoting function of LRP11 in lung adenocarcinoma. We assessed the expression and function of LRP11 in lung adenocarcinoma cell lines through both silencing and overexpression experiments. RNA sequencing was performed to identify genes associated with LRP11 expression. The clinical relevance was evaluated using public datasets (The Cancer Genome Atlas and the Singapore Oncology Data Portal). LRP11 was overexpressed in lung adenocarcinoma cells and promoted their proliferation in vitro. RNA sequencing identified multiple genes negatively correlated with LRP11, all of which contained predicted C/EBPβ binding motifs in their promoter regions. Clinically, high LRP11 expression was associated with poor prognosis in patients with lung adenocarcinoma. In conclusion, LRP11 promotes lung adenocarcinoma progression by enhancing cell proliferation and modulating transcriptional activity. These findings suggest that LRP11 may serve as a potential therapeutic target and prognostic biomarker in lung adenocarcinoma.
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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 | 0.000 | 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) | 0.001 | 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 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".