Human nuclear receptors (NRs) genes have prognostic significance in hepatocellular carcinoma patients

Abstract

Background Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality in the world. Method We downloaded the mRNA profiles and clinical information of 371 HCC patients from The Cancer Genome Atlas (TCGA) database. The consensus clustering analysis with the mRNA levels of 48 nuclear receptors (NRs) was performed by the “ConsensusClusterPlus.” The univariate Cox regression analysis was performed to predict the prognostic significance of NRs on HCC. The risk score was calculated by the prognostic model constructed based on eight optimal NRs. Then multivariate Cox regression analysis was performed to determine whether the risk score is an independent prognostic signature. Finally, the nomogram based on multiple independent prognostic factors was used to predict the long-term survival of HCC patients. Results The prognostic model constructed based on the eight optimal NRs (NR1H3, ESR1, NR1I2, NR2C1, NR6A1, PPARD, PPARG, and VDR) could effectively predict the prognosis of HCC patients as an independent prognostic signature. Moreover, the nomogram was constructed based on multiple independent prognostic factors including risk score and tumor node metastasis (TNM) stage and could better predict the long-term survival for 3- and 5-year of HCC patients. Conclusion Our results provided novel evidences that NRs could act as the potential prognostic signatures for HCC patients.

Identification, Verification and Pathway Enrichment Analysis of Prognosis-Related Immune Genes in Patients With Hepatocellular Carcinoma

“…Although there are few related studies on Nuclear Receptor Subfamily 6 Group A Member 1 ( NR6A1 ), the results of SunGD et al. confirmed that NR6A1 plays an important role in the prognosis of patients with hepatocellular carcinoma ( 33 ).…”

Identification of Immune-Related Genes for Establishment of Prognostic Index in Hepatocellular Carcinoma

“…CREB1 has been reported to be related with metastasis, tumor stage and poor outcome in gastric cancer (Wang et al, 2015 ), and the knockdown of CREB1 could inhibit liver cancer cell migration (Yang et al, 2013 ). PPARD has been reported to accelerate colorectal tumorigenesis, progression, and invasion (Liu et al, 2019 ), it could effectively predict the prognosis of HCC patients as an independent prognostic signature (Sun et al, 2021 ). It has been reported that hsa-miR-122-5p levels are connected with cholesterol levels in a viral hepatitis-free human population and associate with fatty liver and lipoprotein metabolism (Raitoharju et al, 2016 ).…”

Autophagy characteristics and establishment of autophagy prognostic models in lung adenocarcinoma and lung squamous cell carcinoma

“…We used the R package “ConsensusClusterPlus” to repeat the above steps 1000 times for guaranteeing the stability of classification. The number of clusters and stability was determined by the clustering algorithm [ 16 ].…”