Identification of PIF1 as a Ferroptosis-Related Prognostic Biomarker Correlated with Immune Infiltration in Hepatocellular Carcinoma

IF 3.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Applied Biochemistry and Biotechnology Pub Date : 2025-01-31 DOI:10.1007/s12010-024-05161-5
Feng Liu, Pengyu Yin, Lifang Lu, Jingchun Yao, Baoping Jiao
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Abstract

Hepatocellular carcinoma (HCC) is a primary liver malignancy characterized by high morbidity and mortality. Recently, ferroptosis has been recognized as an important factor in regulating cell growth in HCC. However, the role of ferroptosis-related genes in HCC remains unclear. The SRP119173 dataset from the Sequence Read Archive database was used to screen differentially expressed genes (DEGs) related to ferroptosis. Meanwhile, weighted gene co-expression network analysis was conducted to identify the HCC-related gene modules in the TCGA-liver hepatocellular carcinoma (LIHC) cohort. Next, the candidate genes related to HCC progression and ferroptosis were identified by Venn analysis. Kaplan–Meier, multivariate COX regression, and CIBERSORT analyses were then performed. Our results found that the levels of PIF1 5′-to-3′ DNA helicase (PIF1) were notably elevated in HCC tissues relative to normal tissues. Additionally, HCC patients with high PIF1 expression had worse overall survival outcomes than patients with low PIF1 expression. Additionally, the PIF1 gene could independently predict HCC patients’ prognosis. Meanwhile, HCC patients with high PIF1 levels had a higher proportion of regulatory T cells (Tregs) and M0 macrophages, as well as higher expression of immune checkpoints such as PD-1 (PDCD1) and PD-L1 (CD274), compared with patients with low PIF1 levels. Our data suggested that a ferroptosis-related gene PIF1 may serve as a potential biomarker for predicting prognosis in HCC patients.

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PIF1作为肝细胞癌中与铁中毒相关的免疫浸润相关的预后生物标志物的鉴定
肝细胞癌(HCC)是一种发病率和死亡率高的原发性肝脏恶性肿瘤。近年来,铁下垂已被认为是HCC中调节细胞生长的重要因素。然而,铁沉相关基因在HCC中的作用尚不清楚。使用Sequence Read Archive数据库中的SRP119173数据集筛选与铁下垂相关的差异表达基因(DEGs)。同时,通过加权基因共表达网络分析,鉴定tcga -肝细胞癌(LIHC)队列中hcc相关基因模块。接下来,通过Venn分析确定与HCC进展和铁下垂相关的候选基因。然后进行Kaplan-Meier、多元COX回归和CIBERSORT分析。我们的研究结果发现,相对于正常组织,肝癌组织中PIF1 - 5′-3′DNA解旋酶(PIF1)的水平明显升高。此外,PIF1高表达的HCC患者的总生存结果比PIF1低表达的患者差。此外,PIF1基因可以独立预测HCC患者的预后。同时,与PIF1水平较低的HCC患者相比,PIF1水平高的HCC患者具有更高比例的调节性T细胞(Tregs)和M0巨噬细胞,以及更高的免疫检查点PD-1 (PDCD1)和PD-L1 (CD274)的表达。我们的数据表明,铁沉降相关基因PIF1可能作为预测HCC患者预后的潜在生物标志物。
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来源期刊
Applied Biochemistry and Biotechnology
Applied Biochemistry and Biotechnology 工程技术-生化与分子生物学
CiteScore
5.70
自引率
6.70%
发文量
460
审稿时长
5.3 months
期刊介绍: This journal is devoted to publishing the highest quality innovative papers in the fields of biochemistry and biotechnology. The typical focus of the journal is to report applications of novel scientific and technological breakthroughs, as well as technological subjects that are still in the proof-of-concept stage. Applied Biochemistry and Biotechnology provides a forum for case studies and practical concepts of biotechnology, utilization, including controls, statistical data analysis, problem descriptions unique to a particular application, and bioprocess economic analyses. The journal publishes reviews deemed of interest to readers, as well as book reviews, meeting and symposia notices, and news items relating to biotechnology in both the industrial and academic communities. In addition, Applied Biochemistry and Biotechnology often publishes lists of patents and publications of special interest to readers.
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