Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Mar;9(1):196-209.
doi: 10.1002/iid3.379. Epub 2020 Dec 5.

Prognostic value of lipid metabolism-related genes in head and neck squamous cell carcinoma

Ying Xiong  1   2 , Yu Si  1   2 , Yisi Feng  1   2 , Shipei Zhuo  1   2 , Bozhen Cui  1   2 , Zhigang Zhang  1   2
Affiliations

Prognostic value of lipid metabolism-related genes in head and neck squamous cell carcinoma

Ying Xiong et al. Immun Inflamm Dis. 2021 Mar.

Abstract

Background: Altered lipid metabolism is involved in the development of many tumors. However, the role of dissimilar lipid metabolism in head and neck squamous cell carcinoma (HNSCC) is not fully established.

Aims: Here, we sought to determine the prognostic value of lipid metabolism-related genes in HNSCC.

Methods: RNA-seq data and clinical features of 545 HNSCC cases were obtained from The Cancer Genome Atlas database. A regulatory network of transcription factors-lipid metabolism genes and a risk prognostic model of lipid metabolism-related genes was developed using bioinformatics and Cox regression modeling. We used tumor immune estimation resource to analyze immune cell infiltration in patients with HNSCC based on the prognostic index (PI) of lipid metabolism-related genes.

Results: A total of 136 differentially expressed lipid metabolism genes were identified. Of these, 23 are related to prognosis. In addition to predicting HNSCC prognosis, 11 lipid metabolism-related genes (ARSI, CYP27B1, CYP2D6, DGKG, DHCR7, LPIN1, PHYH, PIP5K1B, PLA2G2D, RDH16, and TRIB3) also affect HNSCC clinical features (stage, gender, and pathological stage). The PI of lipid metabolism-related genes embodied the state of HNSCC tumor immune microenvironment.

Keywords: HNSCC; PI; TCGA; lipid metabolism.

PubMed Disclaimer

Conflict of interest statement

All the authors declare that there are no conflicts of interest.

Figures

Figure 1
Figure 1
(A) Heatmap of DEGs between tumor and matched adjacent normal tissue. (B) Heatmap of lipid metabolism‐related DEGs between tumor and matched adjacent normal tissue. (C) Volcano map of DEGs. Red represent 3602 upregulated DEGs. Green represent 1181 downregulated DEGs. (D) Volcano map of lipid metabolism‐related DEGs. Red represent 64 upregulated lipid metabolism‐related DEGs. Green represent 72 downregulated lipid metabolism‐related DEGs. (E) GO term enrichment analysis of lipid metabolism‐related DEGs. (F) KEGG pathway enrichment analysis of lipid metabolism‐related DEGs. DEGs, differentially expressed genes; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes
Figure 2
Figure 2
Prognosis‐associated lipid metabolism‐related differentially expressed genes
Figure 3
Figure 3
Mutation analysis of prognosis‐associated lipid metabolism‐related differentially expressed genes
Figure 4
Figure 4
Transcriptional regulation of lipid metabolism‐related genes. (A) Heatmap of differentially expressed TFs between tumor and matched adjacent normal tissue. (B) Forty‐six upregulated DEGs (red) and 17 downregulated DEGs (green). (C) TFs and prognosis related lipid metabolism genes regulatory network. DEGs, differentially expressed genes; TFs, transcription factors
Figure 5
Figure 5
Establishment of a prognosis‐associated lipid metabolism‐related genes model. (A) Rank and distribution of prognostic index. (B) Survival status of patients in two groups. (C) Heatmap of the signature genes
Figure 6
Figure 6
Survival prediction and model validation. (A) Prediction of outcome of stratified patients. (B–D) 1‐, 3‐, and 5‐year AUCs were 0.664, 0.724, and 0.623, respectively. AUC, area under the curve; ROC, receiver operating characteristic
Figure 7
Figure 7
Risk score independent prognostic analysis. (A) Univariate regression analysis of HNSCC. (B) Multiple regression analysis of HNSCC. HNSCC, head and neck squamous cell carcinoma
Figure 8
Figure 8
Immunohistochemistry of the gene set on HPA. Representative images showing the expression of each gene in HNSCC tissues versus normal oral cavity mucosal tissues. HNSCC, head and neck squamous cell carcinoma; HPA, The Human Protein Atlas
Figure 9
Figure 9
Relationship between risk genes and head and neck squamous cell carcinoma clinical features
Figure 10
Figure 10
Relationships between risk score and six immune cell type in head and neck squamous cell carcinoma
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Snaebjornsson MT, Janaki‐Raman S, Schulze A. Greasing the wheels of the cancer machine: the role of lipid metabolism in cancer. Cell Metab. 2020;31(1):62‐76. - PubMed
    1. Fabian C, Kimler B, Hursting S. Omega‐3 fatty acids for breast cancer prevention and survivorship. Breast Cancer Res. 2015;17:62. - PMC - PubMed
    1. Auciello FR, Bulusu V, Oon C, et al. A stromal lysolipid‐autotaxin signaling axis promotes pancreatic tumor progression. Cancer Discov. 2019;9(5):617‐627. - PMC - PubMed
    1. Baenke F, Peck B, Miess H, Schulze A. Hooked on fat: the role of lipid synthesis in cancer metabolism and tumour development. Dis Models Mech. 2013;6(6):1353‐1363. - PMC - PubMed
    1. Zelenay S, van der Veen AG, Böttcher JP, et al. Cyclooxygenase‐dependent tumor growth through evasion of immunity. Cell. 2015;162(6):1257‐1270. - PMC - PubMed

Publication types

MeSH terms

Substances