Sialidase <i>NEU1</i> May Serve as a Potential Biomarker of Proliferation, Migration and Prognosis in Melanoma
Bibliographic record
Abstract
Background: Melanoma is a kind of malignant tumor with high mortality originating from melanocytes. It is urgent to find new molecular biomarkers for prognosis and new treatment methods for melanoma. As an important molecule of sialidase family, neuraminidase-1 ( NEU1 ) has been found to play an important role in regulating the occurrence and progression of tumors, but the role of NEU1 in melanoma is not sure. Methods: The expression level of NEU1 in melanoma and normal tissues was evaluated by analyzing the expression data from ONCOMINE, UALCAN and GEPIA database. The mutation, copy number alteration and gene correlation of NEU1 in melanoma were evaluated by analyzing the melanoma data from cBioPortal database The protein expression levels of NEU1 were further validated by immunohistochemical (IHC) staining data from The Human Protein Atlas database. The melanoma data in TIMER 2.0 database were used to analyze the correlation between NEU1 expression and immune cell infiltration. The proliferative and migratory abilities of melanoma cells were examined by cell proliferation and migration assay in vitro and nude mice. Results: We discovered that NEU1 was highly expressed in melanoma samples compared with normal samples. The alteration frequency of NEU1 in melanoma patients reached 18%, and most of them were “mutation” type. The expression of NEU1 was positively correlated with the overall survival of patients with melanoma. The expression of NEU1 was positively correlated with the expression of proliferation marker CDK2 and epithelial-mesenchymal transition marker CD44 and negatively correlated with the expression of apoptosis marker CASP3 and CASP8 . Moreover, the expression level of NEU1 was related to the infiltration of immune cells in melanoma. Knockdown of NEU1 attenuated the in vitro proliferative and migratory abilities of melanoma cells, as well as in vivo tumor progression of melanoma cells. Conclusions: These findings suggest that NEU1 may play a key role in the development of melanoma and may be used as a prognostic target of melanoma. World J Oncol. 2022;13(4):222-234 doi: https://doi.org/10.14740/wjon1509
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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 | 0.001 | 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".