Gao Xiaolei, Zhao Na, Dong Liying, Zheng Xuan, Zhang Yixin, Ding Chong, Zhao Shuyan, Ma Zeyun, Wang Yixiang
Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, China.
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China.
Front Oncol. 2021 Nov 25;11:735993. doi: 10.3389/fonc.2021.735993. eCollection 2021.
Clinically, aberrant lipid metabolism is responsible for overweight and/or obesity. Overweight is considered as an independent factor of cancer risk in 2019. Therefore, lipid metabolic reprogramming is an emerging hallmark of malignancy. It is an urgent need to comprehensively understand the relationship among lipid metabolism and HNSCC and identify a valuable biomarker for predicting prognosis of HNSCC patients. Three new findings were found in this study. Firstly, we identified the lipid-related differentially expressed genes (DEGs) by using the GEO microarrays and TCGA dataset. A novel lipid-related mRNA prognostic signature (LRPS, consisting of ADCY2, LIPE and OLR1) was developed, which could predict the survival and prognosis of HNSCC patients as an independent effective prognostic factor. Secondly, we found that the LRPS could indicate the type of infiltrated immune cells in HNSCC tumor microenvironment. Thirdly, we verified that the LPPS score could interpret the TP53 status of HNSCC. Our new findings indicated that LRPS has a potential to be a promising indicator of overall survival, TP53 status, and immune characteristics in HNSCC, and perhaps can monitor and guide the treatment efficacy and prognosis of HNSCC in the future.
Head and neck squamous cell carcinoma (HNSCC) is characterized by a high frequency of lymph node metastasis and a high mortality. Lipid metabolic reprogramming is an emerging carcinogen as its role in fulfilling cancer growth and spread. However, little is known about the correlation between lipid metabolism and HNSCC.
Expressions of lipid-related genes were obtained from the Cancer Genome Atlas (TCGA) and Gene expression Omnibus (GEO) databases for differential and functional analyses. A total number of 498 patients from TCGA with complete information were included to identify a lipid-related prognostic signature (LRPS), based on ADCY2, LIPE, and OLR1, by using univariate and multivariate Cox regression analyses. LRPS-high and LRPS-low groups were accordingly divided to pathway and cell enrichment analyses.
LRS-low patients had a better overall survival and relapse - free survival than LRS-high ones in HNSCC. The LRPS-high group was significantly related to perineural invasion of cancer, cancer-related pathways, high TP53 mutation rate, high proportion of natural killer T cells (NKT), dendritic cells, monocytes, Treg, and M1 and M2 macrophage infiltration in HNSCC tumor tissues. Conversely, the LRPS-low group correlated with DNA damage-related and T-cell-regulated pathways, low frequency of mutated TP53, and high infiltration of B cells and CD4+ effector cells including Th1 and Th2.
LRPS has a potential to be a promising indicator of overall survival, prognosis, TP53 status, and immune characteristics in HNSCC.
摘要:临床上,异常的脂质代谢是超重和/或肥胖的原因。超重被认为是2019年癌症风险的独立因素。因此,脂质代谢重编程是恶性肿瘤的一个新特征。迫切需要全面了解脂质代谢与头颈部鳞状细胞癌(HNSCC)之间的关系,并确定一个有价值的生物标志物来预测HNSCC患者的预后。本研究有三项新发现。首先,我们使用GEO微阵列和TCGA数据集鉴定了脂质相关差异表达基因(DEG)。开发了一种新的脂质相关mRNA预后特征(LRPS,由ADCY2、LIPE和OLR1组成),它可以作为一个独立有效的预后因素预测HNSCC患者的生存和预后。其次,我们发现LRPS可以指示HNSCC肿瘤微环境中浸润免疫细胞的类型。第三,我们验证了LPPS评分可以解释HNSCC的TP53状态。我们的新发现表明,LRPS有可能成为HNSCC总体生存、TP53状态和免疫特征的有前景的指标,也许在未来可以监测和指导HNSCC的治疗效果和预后。
背景:头颈部鳞状细胞癌(HNSCC)的特点是淋巴结转移频率高和死亡率高。脂质代谢重编程作为其在促进癌症生长和扩散中的作用,是一种新出现的致癌物。然而,关于脂质代谢与HNSCC之间的相关性知之甚少。
材料和方法:从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获取脂质相关基因的表达,进行差异和功能分析。纳入来自TCGA的498例信息完整的患者,通过单因素和多因素Cox回归分析,基于ADCY2、LIPE和OLR1确定脂质相关预后特征(LRPS)。相应地将LRPS高和LRPS低的组进行通路和细胞富集分析。
结果:在HNSCC中,LRPS低的患者比LRPS高的患者具有更好的总生存期和无复发生存期。LRPS高的组与癌症的神经周围侵犯、癌症相关通路、高TP53突变率、自然杀伤T细胞(NKT)、树突状细胞、单核细胞、调节性T细胞以及M1和M2巨噬细胞在HNSCC肿瘤组织中的高浸润比例显著相关。相反,LRPS低的组与DNA损伤相关和T细胞调节的通路、低频率的TP53突变以及B细胞和包括Th1和Th2在内的CD4 +效应细胞的高浸润相关。
结论:LRPS有可能成为HNSCC总体生存、预后、TP53状态和免疫特征的有前景的指标。