Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386694454> ?p ?o ?g. }
- W4386694454 abstract "Hepatocellular carcinoma (HCC) is one of the leading cancer types with increasing annual incidence and high mortality in the United States. MicroRNAs (miRNAs) have emerged as valuable prognostic indicators in cancer patients. To identify a miRNA signature predictive of survival in patients with HCC, we developed a machine learning-based HCC survival estimation method, HCCse, using the miRNA expression profiles of 122 patients with HCC. The HCCse method was designed using an optimal feature selection algorithm incorporated with support vector regression. HCCse identified a robust miRNA signature consisting of 32 miRNAs and obtained a mean correlation coefficient (R) and mean absolute error (MAE) of 0.87±0.02 and 0.73 years between the actual and estimated survival times of patients with HCC; and the Jack-knife test achieved an R and MAE of 0.73 and 0.97 years between actual and estimated survival times, respectively. The identified signature has seven prognostic miRNAs (hsa-miR-146a-3p, hsa-miR-200a-3p, hsa-miR-652-3p, hsa-miR-34a-3p, hsa-miR-132-5p, hsa-miR-1301-3p, and hsa-miR-374b-3p) and four diagnostic miRNAs (hsa-miR-1301-3p, hsa-miR-17-5p, hsa-miR-34a-3p, and hsa-miR-200a-3p). Notably, three of these miRNAs, hsa-miR-200a-3p, hsa-miR-1301-3p, and hsa-miR-17-5p, also displayed association with tumor stage, further emphasizing their clinical relevance. Furthermore, we performed pathway enrichment analysis and found that the target genes of the identified miRNA signature were significantly enriched in the hepatitis B pathway, suggesting its potential involvement in HCC pathogenesis." @default.
- W4386694454 created "2023-09-14" @default.
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- W4386694454 date "2023-09-13" @default.
- W4386694454 modified "2023-09-29" @default.
- W4386694454 title "Prognostic microRNA signature for estimating survival in patients with hepatocellular carcinoma" @default.
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- W4386694454 doi "https://doi.org/10.1093/carcin/bgad062" @default.
- W4386694454 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37701974" @default.
- W4386694454 hasPublicationYear "2023" @default.