Amplified LncRNA PVT1 promotes lung cancer proliferation and metastasis by facilitating VEGFC expression
Bibliographic record
Abstract
Although the abundance of long non-coding RNA (lncRNA) plasmacytoma variant translocation 1 (PVT1) in lung cancer has been well researched, the underlying mechanisms behind its effects were unknown. Here we investigated the molecular events regulating PVT1 in lung cancer. The pro-proliferative property of PVT1 was examined using a xenograft tumor model. Transwell chambers were used to analyze the impact of PVT1 expression on cell invasiveness and migration. In vivo metastasis was examined by tail-vein-injection in mice. Direct binding of miR-128 to PVT1 was investigated using a probe pulldown assay. The relative expression levels of miR-128 and PVT1 were quantified by real-time polymerase chain reaction and Western blotting. We show here that when PVT1 is amplified, there is a poor survival prognosis for patients with lung cancer. Elevated levels of PVT1 promoted lung cancer cell proliferation and metastasis, both in vitro and in vivo. Mechanistically, we found that PVT1 competes endogenously with miR-128 in the regulation of vascular endothelial growth factor C (VEGFC) expression, which is significantly associated with an unfavorable prognosis in lung cancer. We identified that copy number amplification significantly contributes to the high level of PVT1 transcripts in lung cancer, which promotes cell proliferation and metastatic behavior via modulating VEGFC expression by endogenous competition with miR-128.
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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 | 0.000 | 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) | 0.000 | 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".