Down-regulation of NTSR3 inhibits cell growth and metastasis, as well as the PI3K–AKT and MAPK signaling pathways in colorectal cancer
Bibliographic record
Abstract
Colorectal cancer is a common malignancy. NTS receptor 3 (NTSR3) is known to play an important role in several cancers. This study examined the effects of NTSR3 on cell growth and metastasis in colorectal cancer. Western blot analysis, real-time PCR, immunofluorescence staining, MTT, cell cycle assay, cell apoptosis assay, Hoechst staining, caspase-3 and caspase-9 activity assays, cell adhesion assay, wound healing assay, and a Transwell assay were used in this study. We found that NTSR3 was expressed at relatively high levels in the colorectal cancer cell lines SW620 and SW480. NTSR3 knockdown suppressed cell growth and promoted cell apoptosis. Meanwhile, the protein expression levels of cyclinD1, cyclinE1, CDK4, and p-RB were reduced, and the levels of p-P27, P15, P21, cleaved caspase-3, and cleaved caspase-9 protein were increased. Cell invasiveness and cell migration were reduced with knockdown of NTSR3. In addition, our rescue experiments demonstrated that overexpression of the siRNA-resistant alleles of NTSR3 abrogated the NTSR3-siRNA-mediated effects on cell function. Further, down-regulation of NTSR3 inactivated the PI3K-AKT and MAPK signaling pathways. Collectively, these data demonstrate that knockdown of NTSR3 inhibits cell growth and metastasis, as well as the PI3K-AKT and MAPK signaling pathways in colorectal cancer. Thus, our results indicate that NTSR3 is a potential therapeutic target for treating colorectal cancer.
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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".