Profiling cytochrome P450 family 4 gene expression in human hepatocellular carcinoma

Eun, Hyuk Soo; Cho, Sang Yeon; Lee, Byung Seok; Seong, In-Ock; Kim, Kyung Hee

doi:10.3892/mmr.2018.9526

Cited by 28 publications

(34 citation statements)

References 20 publications

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“…29,30 Previous findings indicate hepatocellular carcinoma (HCC) patients with good OS overexpress CYP4F12. 31 Although CYP4F12 was not altered in HNSCC, the protective role of CYP4F12 was similar to that found in HCC. SRD5A2 encodes steroid 5-α-reductase 2 that converts testosterone to the more potent androgen receptor agonist dihydrotestosterone.…”

Section: Discussionmentioning

confidence: 52%

A nomogram based on a gene signature for predicting the prognosis of patients with head and neck squamous cell carcinoma

Yang

et al. 2019

Int J Biol Markers

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Background: Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignant tumors. The purpose of this study was to establish and validate a gene-expression-based prognostic signature in non-metastatic patients with HNSCC. Materials and methods: All the patients were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We randomly divided the GSE65858 samples into 70% (training cohort, n = 190) and 30% (internal validation cohort, n = 72). A total of 36 samples collected from the TCGA HNSCC databases were selected as an independent external validation cohort. The oligo package in R was used to normalize the raw data before analysis. Data characteristics were extracted, and a gene signature was built via the least absolute shrinkage and selection operator regression model. The predictive model was developed by multivariable Cox regression analysis. T stage, N stage, human papilloma virus status, and the gene signature were incorporated in this predictive model, which was shown as a nomogram. Calibration and discrimination were performed to assess the performance of the nomogram. The clinical utility of this nomogram was assessed by the decision curve analysis. Results: Overall, 2001 significant messenger RNAs in HNSCC samples were identified compared with normal samples. The gene signature contained seven genes and significantly correlated with overall survival. The gene signature was also significant in subgroup analysis of the primary cohort. The calibration was plotted in the external cohort (C-index 0.90, 95% CI 0.85, 0.95) compared with the training (C-index 0.76, 95% CI 0.73, 0.79) and internal (C-index 0.71, 95% CI 0.66, 0.77) cohorts. In clinic, a decision curve analysis demonstrated that the model including the prognostic gene signature score status was better than that without it. Conclusion: This study developed and validated a predictive model, which can promote the individualized prediction of overall survival in non-metastatic patients with HNSCC.

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Section: Discussionmentioning

confidence: 52%

A nomogram based on a gene signature for predicting the prognosis of patients with head and neck squamous cell carcinoma

Yang

et al. 2019

Int J Biol Markers

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“…To the best of our knowledge, this is the first study that revealed the putative protective role of CYP3A7 in the prognosis of ccRCC. Members of the cytochrome P450 superfamily are a group of metalloproteins that involve in metabolic biotransformation of endogenous and exogenous substrates, including carcinogens [ 28 ]. Conversely, overexpression of CYP3A7 was witnessed in hepatocellular carcinoma [ 29 , 30 ], suggesting that it might exert varied functions among different types or stages of tumor.…”

Section: Discussionmentioning

confidence: 99%

Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma

Deng

Duan

et al. 2020

Bioscience Reports

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The present work aimed to evaluate the prognostic value of overall survival (OS)-related genes in clear cell renal cell carcinoma (ccRCC) and to develop a nomogram for clinical use. Transcriptome data from The Cancer Genome Atlas (TCGA) were collected to screen differentially expressed genes (DEGs) between ccRCC patients with OS > 5 years (149 patients) and those < 1 year (52 patients). In TCGA training set (265 patients), seven DEGs (CYP3A7, CNTNAP5, ADCY2, TOX3, PLG, ENAM, and COL7A1) were further selected to build a prognostic risk signature by the least absolute shrinkage and selection operator Cox regression model. Survival analysis confirmed that the OS in the high-risk group was dramatically shorter than their low-risk counterparts. Next, univariate and Multivariate Cox regression revealed the seven genes-based risk score, age, and TNM stage were independent prognostic factors to OS, based on which a novel nomogram was constructed and validated in both TCGA validation set (265 patients) and the International Cancer Genome Consortium cohort (ICGC, 84 patients). A decent predictive performance of the nomogram was observed, the C-indices and corresponding 95% confidence intervals of TCGA training set, validation set, and ICGC cohort were 0.78 (0.74-0.82), 0.75 (0.70-0.80), and 0.70 (0.60-0.80), respectively. Moreover, the calibration plots of 3- and 5 years survival probability indicated favorable curve-fitting performance in the above 3 groups. In conclusion, the proposed seven genes signature-based nomogram is a promising and robust tool for predicting the OS of ccRCC, which may help tailor individualized therapeutic strategies.

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“…Cytochrome P450 (CYP450), belonging to ω-hydroxylase, participates in the metabolism of many endogenous substances and exogenous compounds, including fatty acids, docosahexenoic acid, and vitamin D, and of a wide variety of carcinogens and anticancer drugs [10,11]. These reactive metabolites would interact with DNA, thereby causing altered gene expression or function, and eventually carcinogenesis [12].…”

Section: Introductionmentioning

confidence: 99%

CYP4F2 and CYP3A5 gene polymorphisms and lung cancer in Chinese Han population

et al. 2020

Clin Exp Med

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This study aimed to explore whether the polymorphisms of CYP4F2 and CYP3A5 are correlated with the risk of lung cancer development. A case-control study was conducted among 510 patients with pathologically confirmed lung cancer as the case group and 504 healthy individuals as the control group. Four single-nucleotide polymorphisms of the CYP4F2 and CYP3A5 genes were genotyped, and their correlations with the risk of lung cancer were examined using Chi-square test and logistic regression analysis. Stratified analysis found that the rs3093105 and rs3093106 loci of CYP4F2 gene were significantly associated with lower risk of lung cancer (P = 0.012, OR 0.64, 95% CI 0.45-0.91). The correlation was related to patients' age and sex and pathological type of lung cancer. Similarly, the rs10242455 loci of CYP3A5 gene showed a statistical significance between the case group and the control group (P = 0.018, OR 0.71, 95% CI 0.53-0.94), which also was associated with reduced risk of squamous cell lung cancer in the dominant and additive models (dominant: OR 0.66, 95% CI 0.46-0.94, P = 0.021; additive: OR 0.71, 95% CI 0.53-0.95, P = 0.023). CYP4F2 and CYP3A5 gene polymorphisms are associated with the reduced risk of non-small cell lung cancer, and its correlation is related to patients' age and sex and pathological type of lung cancer.

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Profiling cytochrome P450 family 4 gene expression in human hepatocellular carcinoma

Cited by 28 publications

References 20 publications

A nomogram based on a gene signature for predicting the prognosis of patients with head and neck squamous cell carcinoma

A nomogram based on a gene signature for predicting the prognosis of patients with head and neck squamous cell carcinoma

Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma

CYP4F2 and CYP3A5 gene polymorphisms and lung cancer in Chinese Han population

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