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. 2021 Oct 8:12:749134.
doi: 10.3389/fphar.2021.749134. eCollection 2021.

FDX1 can Impact the Prognosis and Mediate the Metabolism of Lung Adenocarcinoma (VSports)

Affiliations

FDX1 can Impact the Prognosis and Mediate the Metabolism of Lung Adenocarcinoma

Zeyu Zhang et al. Front Pharmacol. .

Abstract

Background: Lung cancer has emerged as one of the most common cancers in recent years. The mitochondrial electron transport chain (ETC) is closely connected with metabolic pathways and inflammatory response. However, the influence of ETC-associated genes on the tumor immune response and the pathogenesis of lung cancer is not clear and needs further exploration. Methods: The RNA-sequencing transcriptome and clinical characteristic data of LUAD were downloaded from the Cancer Genome Atlas (TCGA) database. The LASSO algorithm was used to build the risk signature, and the prediction model was evaluated by the survival analysis and receiver operating characteristic curve. We explored the function of FDX1 through flow cytometry, molecular biological methods, and liquid chromatography-tandem mass spectrometry/mass spectrometry (LC-MS/MS). Results: 12 genes (FDX1, FDX2, LOXL2, ASPH, GLRX2, ALDH2, CYCS, AKR1A1, MAOB, RDH16, CYBB, and CYB5A) were selected to build the risk signature, and the risk score was calculated with the coefficients from the LASSO algorithm. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves of the dataset were 0. 7, 0. 674, and 0. 692, respectively. Univariate Cox analysis and multivariate Cox regression analysis indicated that the risk signature is an independent risk factor for LUAD patients VSports手机版. Among these genes, we focused on the FDX1 gene, and we found that knockdown of FDX1 neither inhibited tumor cell growth nor did it induce apoptosis or abnormal cell cycle distribution. But FDX1 could promote the ATP production. Furthermore, our study showed that FDX1 was closely related to the glucose metabolism, fatty acid oxidation, and amino acid metabolism. Conclusion: Collectively, this study provides new clues about carcinogenesis induced by ETC-associated genes in LUAD and paves the way for finding potential targets of LUAD. .

Keywords: inflammatory response; lung cancer; metabolism; mitochondria electron transport chain; risk signature V体育安卓版. .

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Identification of prognostic ETC-associated genes. (A). The LASSO coefficient distribution map of the 12 ETC genes in LUAD patients. (B). The partial likelihood deviance plot based on the LASSO model. (C). The risk score distribution of the 12-gene risk signature model in LUAD patients. (D). The survival status of patients in high-risk and low-risk groups of LUAD patients.
FIGURE 2
FIGURE 2
Prognostic accuracy of the risk model. (A). The survival analysis of high-risk signature and low-risk signature in LUAD patients. (B–D). The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves.
FIGURE 3
FIGURE 3
Risk signature of ETC genes in LUAD. (A). The associations of risk signature and clinicopathological features (T, N, M, tumor stage, gender, age, and the survival status). (B, C). Univariate and multivariate Cox analyses of the clinicopathological features (age, gender, stage, T, N, and M) and risk signature of overall survival in LUAD patients.
FIGURE 4
FIGURE 4
FDX1 plays a pivotal role in LUAD. (A). The mRNA level of paired LUAD tumor tissues and adjacent normal tissues in the TCGA-LUAD dataset. (B). The Kaplan–Meier plot of low expression and high expression of FDX1 in LUAD patients using the ProgScan online tool. c. The GO enrichment analysis of FDX1. (D, E). The GSEA analysis of low expression of FDX1.
FIGURE 5
FIGURE 5
Biological function of FDX1 in A549 cells. (A). Expression of FDX1 in A549 cells transfected with si-FDX1. (B). The cell growth of the FDX1 deficiency group and control group was assessed by the CCK-8 assay. (C). The apoptotic rate of the control group and FDX1 deficient group. (D). PI staining was used to detect the cell cycle distribution of the control group and FDX1-deficient group. (E). The cell cycle distribution of FDX1-knockdown cells and FDX1-wild-type cells. (F). ATP levels of FDX1-deficient cells and wild-type A549 cells.
FIGURE 6
FIGURE 6
Metabolic profiling of tumor cells with FDX1 deficiency. (A). The heatmap of differential metabolites in WT-FDX1 and KD-FDX1 cells in the negative ion mode. (B, C). Pathway enrichment analysis of the differential metabolites in both the negative and positive ion modes. (D–I). The levels of D-fructose 6-phosphate, arachidonic acid (20:4), L-palmitoylcarnitine, acylcarnitine, L-cysteine, and L-glutamine in WT-FDX1 and KO-FDX1 cells. The data are presented as the mean ± SD. *p < 0.01, **p < 0.001 and ***p < 0.0001 (t-test).

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