PDF
Full
Outline
To explore the impact of necrotic apoptosis-related long non-coding RNA (lncRNA) on the prognosis of hepatocellular carcinoma (HCC) in high-risk populations.
LncRNAs were identified by co-expression analysis of immune genes with gene expression and clinical data from the cancer genome atlas program (TCGA) database. A risk model was established through univariate and multivariate cox proportional hazards regression model (Cox), as well as Lasso regression analysis. Patients were screened from TCGA database and divided into high-risk group and low-risk group. Combined with necrotic apoptosis-related lncRNA features, a highly predictive nomogram was created.
By analyzing data from the TCGA, a total of five lncRNAs (TMCC1-AS1, AC026412.3, AC026356.1, AC100872.2, and FOXD2-AS1) were identified as potential biomarkers. Nomogram was created, and its predictive efficiency was assessed using a calibration curve. Receiver operating characteristic (ROC) curve analysis showed that the area under curve (AUC) for predicting 1-year, 3-year, and 5-year survival rate were 0.781, 0.663, and 0.686, respectively (P<0.001).
Risk model constructed based on five necrotic apoptosis-related lncRNAs may predict prognosis in HCC patients.
PDF
144
32
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
