Development of a prognostic model for hepatocellular carcinoma using genes involved in aerobic respiration

Rao, Jiawei; Wu, Xukun; Zhou, Xiaozhuan; Deng, Ronghai; Ma, Yu

doi:10.18632/aging.203021

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Similarly, the ROC curves proved the risk score had a more significant advantage than other clinical parameters. Additionally, previous literature reported some HCC-related prognostic signature [ [12] , [13] , [14] , [15] , [16] , [17] ], among which ZYQ et al reported the highest AUC value for signature [ 15 ]. However, the result showed that the signature in this research had better predictive ability than ZYQ et al's ( Fig.…”

Section: Resultsmentioning

confidence: 99%

Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma

Qu,

Meng,

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma

Qu,

Meng,

et al. 2024

Heliyon

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“…Li et al (68) revealed the prognostic differences among different phenotypes of CpG-island methylation in HCC patients, and screened the associated genes to construct a prognostic signature. Dai et al (69) and Rao et al (70) screened prognostic-related genes from metabolic-and aerobic respiration-related perspectives, respectively, to construct models. Those studies refine prediction of the prognosis of HCC patients from various perspectives and their models have good efficacy.…”

Section: Discussionmentioning

confidence: 99%

“…( 69 ) and Rao et al. ( 70 ) screened prognostic-related genes from metabolic- and aerobic respiration-related perspectives, respectively, to construct models. Those studies refine prediction of the prognosis of HCC patients from various perspectives and their models have good efficacy.…”

Section: Discussionmentioning

confidence: 99%

M2-like tumor-associated macrophage-related biomarkers to construct a novel prognostic signature, reveal the immune landscape, and screen drugs in hepatocellular carcinoma

Zhao

Lin

et al. 2022

Front. Immunol.

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BackgroundM2-like tumor-associated macrophages (M2-like TAMs) have important roles in the progression and therapeutics of cancers. We aimed to detect novel M2-like TAM-related biomarkers in hepatocellular carcinoma (HCC) via integrative analysis of single-cell RNA-seq (scRNA-seq) and bulk RNA-seq data to construct a novel prognostic signature, reveal the “immune landscape”, and screen drugs in HCC.MethodsM2-like TAM-related genes were obtained by overlapping the marker genes of TAM identified from scRNA-seq data and M2 macrophage modular genes identified by weighted gene co-expression network analysis (WGCNA) using bulk RNA-seq data. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were carried out to screen prognostic genes from M2-like TAM-related genes, followed by a construction of a prognostic signature, delineation of risk groups, and external validation of the prognostic signature. Analyses of immune cells, immune function, immune evasion scores, and immune-checkpoint genes between high- and low-risk groups were done to further reveal the immune landscape of HCC patients. To screen potential HCC therapeutic agents, analyses of gene–drug correlation and sensitivity to anti-cancer drugs were conducted.ResultsA total of 127 M2-like TAM-related genes were identified by integrative analysis of scRNA-seq and bulk-seq data. PDLIM3, PAM, PDLIM7, FSCN1, DPYSL2, ARID5B, LGALS3, and KLF2 were screened as prognostic genes in HCC by univariate Cox regression and LASSO regression analyses. Then, a prognostic signature was constructed and validated based on those genes for predicting the survival of HCC patients. In terms of drug screening, expression of PAM and LGALS3 was correlated positively with sensitivity to simvastatin and ARRY-162, respectively. Based on risk grouping, we predicted 10 anticancer drugs with high sensitivity in the high-risk group, with epothilone B having the lowest half-maximal inhibitory concentration among all drugs tested.ConclusionsOur findings enhance understanding of the M2-like TAM-related molecular mechanisms involved in HCC, reveal the immune landscape of HCC, and provide potential targets for HCC treatment.

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A refined therapeutic plan based on the machine-learning prognostic model of liver hepatocellular carcinoma

Sun,

Guo,

Wang

et al. 2024

Computers in Biology and Medicine

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Development of a prognostic model for hepatocellular carcinoma using genes involved in aerobic respiration

Cited by 3 publications

References 27 publications

Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma

Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma

M2-like tumor-associated macrophage-related biomarkers to construct a novel prognostic signature, reveal the immune landscape, and screen drugs in hepatocellular carcinoma

A refined therapeutic plan based on the machine-learning prognostic model of liver hepatocellular carcinoma

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