Significados de prognostic signature en inglés

Results: Five lncRNAs were identified and used to construct the prognostic signature.

Conclusion: Our study constructed and validated an m6A RNA methylation regulators-based prognostic signature.

Results: We established a seven-gene prognostic signature using dChip and gene set enrichment analyses.

Genes in our prognostic signature were strongly enriched for genes associated with immune response.

The resultant prognostic signature was then tested on an independent validation set for confirmation.

Cox regression analysis was performed to develop a prognostic signature, which was independently validated.

Then, stepwise Cox regression analysis was applied to identify survival-related splicing events and construct prognostic signature.

We also verified the clinical value of prognostic signature under the influence of different clinical parameters.

The present study aims to establish a novel, autophagy-related prognostic signature for prediction of AML prognosis.

For deeper analysis, we evaluated the correlation between prognostic signature and infiltrating immune cells by CIBERSORT.

Conclusions: The robust novel TME-related immune prognostic signature effectively predicted the prognosis of patients with lung adenocarcinoma.

LASSO Cox regression analysis was used to generate a prognostic signature based on m6A RNA methylation regulators expression.

Differentially expressed genes in normal and cancerous samples were analysed, followed by the identification of prognostic signature genes.

We then used MMNet to discover novel genes associated with high-risk myeloma and identified a novel four-gene prognostic signature.

A total of 13 CpG sites were identified and validated as the optimal diagnostic and prognostic signature for overall survival.

A prognostic signature which was insensitive to the cellular composition of macro-dissected tissues was developed and validated for ER+ breast patients.