Identification of a Prognostic Model Based on Fatty Acid Metabolism-Related Genes of Head and Neck Squamous Cell Carcinoma

Du, Peiyu; Chai, Yun; Zong, Shimin; Yue, Jiaqi; Xiao, Hongjun

doi:10.3389/fgene.2022.888764

Cited by 11 publications

(17 citation statements)

References 70 publications

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“…For instance, NUTF2 has been reported to be highly expressed in HNSCC, associated with a poor prognosis and related to immune cells, which may serve as a potential biomarker and target for HNSCC ( 56 – 58 ). Additionally, previous studies have established a 12-gene signature based on the fatty acid metabolism to predict the prognosis of HNSCC, which contain the long non-coding RNA, LINC00460, indicating its predictive role for HNSCC ( 36 , 59 , 60 ). Also, another long non-coding RNA, LINC02454, is linked to predicting the prognosis of thyroid cancer ( 61 , 62 ).…”

Section: Discussionmentioning

confidence: 99%

A novel neutrophil extracellular trap signature to predict prognosis and immunotherapy response in head and neck squamous cell carcinoma

Chen

et al. 2022

Front. Immunol.

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Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignant cancers, and patients with HNSCC possess early metastases and poor prognosis. Systematic therapies (including chemotherapy, targeted therapy, and immunotherapy) are generally applied in the advanced/late stages of HNSCC, but primary and acquired resistance eventually occurs. At present, reliable biomarkers to predict the prognosis of HNSCC have not been completely identified. Recent studies have shown that neutrophil extracellular traps (NETs) are implicated in cancer progression, metastasis and cancer immune response, and NET-related gene signatures are associated with the prognosis of patients with several human cancers. To explore whether NET-related genes play crucial roles in HNSCC, we have performed systematic analysis and reported several findings in the current study. Firstly, we identified seven novel NET-related genes and developed a NET-score signature, which was highly associated with the clinicopathological and immune traits of the HNSCC patients. Then, we, for the first time, found that NIFK was significantly upregulated in HNSCC patient samples, and its levels were significantly linked to tumor malignancy and immune status. Moreover, functional experiments confirmed that NIFK was required for HNSCC cell proliferation and metastasis. Altogether, this study has identified a novel NET-score signature based on seven novel NET-related genes to predict the prognosis of HNSCC and NIFK has also explored a new method for personalized chemo-/immuno-therapy of HNSCC.

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Section: Discussionmentioning

confidence: 99%

A novel neutrophil extracellular trap signature to predict prognosis and immunotherapy response in head and neck squamous cell carcinoma

Chen

et al. 2022

Front. Immunol.

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“…Of course, there existed some limitations in this study. Similar to many publications (49)(50)(51)(52), we only extracted data from public databases and did not validate these data with animal experiments and clinical specimens. In addition, the nomogram lacked imaging data, which are also significant for assessing the prognosis of HCC.…”

Section: Discussionmentioning

confidence: 99%

A novel signature of combing cuproptosis- with ferroptosis-related genes for prediction of prognosis, immunologic therapy responses and drug sensitivity in hepatocellular carcinoma

Zhao

Zhang

2022

Front. Oncol.

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BackgroundOur study aimed to construct a novel signature (CRFs) of combing cuproptosis-related genes with ferroptosis-related genes for the prediction of the prognosis, responses of immunological therapy, and drug sensitivity of hepatocellular carcinoma (HCC) patients.MethodsThe RNA sequencing and corresponding clinical data of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), GSE76427, GSE144269, GSE140580, Cancer Cell Line Encyclopedia (CCLE), and IMvigor210 cohorts. CRFs was constructed using the least absolute shrinkage and selection operator (LASSO) algorithm. The analyses involved in the prognosis, response to immunologic therapy, efficacy of transcatheter arterial chemoembolization (TACE) therapy, and drug sensitivity were performed. Furthermore, the molecular function, somatic mutation, and stemness analyses were further performed between the low- and high-risk groups, respectively. In this study, the statistical analyses were performed by using the diverse packages of R 4.1.3 software and Cytoscape 3.8.0.ResultsCRFs included seven genes (G6PD, NRAS, RRM2, SQSTM1, SRXN1, TXNRD1, and ZFP69B). Multivariate Cox regression analyses demonstrated that CRFs were an independent risk factor for prognosis. In addition, these patients in the high-risk group presented with worse prognoses and a significant state of immunosuppression. Moreover, patients in the high-risk group might achieve greater outcomes after receiving immunologic therapy, while patients in the low-risk group are sensitive to TACE. Furthermore, we discovered that patients in the high-risk group may benefit from the administration of sunitinib. In addition, enhanced mRANsi and tumor mutation burden (TMB) yielded in the high-risk group. Additionally, the functions enriched in the low-risk group differed from those in the other group.ConclusionIn summary, CRFs may be regarded not only as a novel biomarker of worse prognosis, but also as an excellent predictor of immunotherapy response, efficacy of TACE and drug sensitivity in HCC, which is worthy of clinical promotion.

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“…According to the previous studies, 15,20 All subjects were divided into high-and low-risk groups according to the median risk scores after each sample's risk score was calculated with the formula. To confirm the value of the above risk score model to predict patient prognosis, the log-rank test and Kaplan-Meier survival curves were used to compare the overall survival (OS) of the patients in both groups.…”

Section: Construction and Validation Of The Prognostic Modelmentioning

confidence: 99%

“…Consequently, tumor cells exhibit notable variations in protein, fatty acid, and glucose metabolism from normal cells 13 . Tumor cells are revealed to be able to more readily utilize the higher energy provided by fatty acid metabolism (FAM) 14,15 . Genes in the fatty acid metabolic pathway are known as fatty acid metabolism‐associated genes (FAMGs), whose reprogramming is an important guarantee for the continuous growth, proliferation, and migration of cancer cells 16,17 .…”

Section: Introductionmentioning

confidence: 99%

“… 13 Tumor cells are revealed to be able to more readily utilize the higher energy provided by fatty acid metabolism (FAM). 14 , 15 Genes in the fatty acid metabolic pathway are known as fatty acid metabolism‐associated genes (FAMGs), whose reprogramming is an important guarantee for the continuous growth, proliferation, and migration of cancer cells. 16 , 17 In particular, FAMGs have potential mechanistic and prognostic roles in HNSCC.…”

Section: Introductionmentioning

confidence: 99%

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Exploration of a predictive model based on genes associated with fatty acid metabolism and clinical treatment for head and neck squamous cell carcinoma

Yuan

Huang

Teh

et al. 2022

Clinical Laboratory Analysis

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Background Head and neck squamous cell carcinoma (HNSCC) is one of the most prevalent malignant tumors of the head and neck and presents high risks of recurrence and poor prognosis postoperatively. The aim of this study was to establish a predictive model based on fatty acid metabolism (FAM) genes to forecast the prognosis of HNSCC patients and the subsequent treatment strategies. Methods We accessed the TCGA and GEO databases for HNSCC genes and clinical data. The FAM risk score model was created and validated using a combination of univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) regression analysis. Combining risk scores and clinical characteristics, a nomogram was established and assessed. Subsequently, the function, gene mutation, immune difference, and chemotherapeutic drug sensitivity of the groups with high‐ and low‐risk scores were analyzed. Consequently, the mode's validity was evaluated comprehensively by combining single gene analysis. Results The FAM risk score model for predicting HNSCC prognosis had certain validity. Patients in the high‐ and low‐risk groups had genetic mutations, and the prognosis was the poorest for the high‐risk groups with high genetic mutations. The patients with low‐risk scores were suitable for immunotherapy since they had increased infiltration of immune cells. In contrast, the patients in the other groups were more suitable for chemotherapy. Conclusion The results of this study demonstrated that the FAM risk score model may predict the prognosis of HSNCC and has a certain therapeutic guidance value.

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Identification of a Prognostic Model Based on Fatty Acid Metabolism-Related Genes of Head and Neck Squamous Cell Carcinoma

Cited by 11 publications

References 70 publications

A novel neutrophil extracellular trap signature to predict prognosis and immunotherapy response in head and neck squamous cell carcinoma

A novel neutrophil extracellular trap signature to predict prognosis and immunotherapy response in head and neck squamous cell carcinoma

A novel signature of combing cuproptosis- with ferroptosis-related genes for prediction of prognosis, immunologic therapy responses and drug sensitivity in hepatocellular carcinoma

Exploration of a predictive model based on genes associated with fatty acid metabolism and clinical treatment for head and neck squamous cell carcinoma

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