5 - llps基因风险评分预测肝细胞癌患者的生存。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY International Journal of Genomics Pub Date : 2023-01-01 DOI:10.1155/2023/7299276
Wenwen Lai, Defu Li, Qiong Ge, Yehong Yan, Shiwen Luo, Quqin Lu
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引用次数: 0

摘要

背景:以肝细胞癌(HCC)为主的原发性肝癌是最常见的癌症类型之一,也是2020年癌症死亡的第三大原因。既往研究表明,液-液相分离(LLPS)在肝癌等癌症的发生发展中起着重要作用,但其对患者预后的影响尚不清楚。为了准确预测HCC患者的预后,确定相关的靶向治疗部位,有必要探讨LLPS基因对预后的影响。方法:利用Cancer Genome Atlas数据集和PhaSepDB数据集,我们确定了与HCC患者总生存期(OS)相关的LLPS基因。我们应用最小绝对收缩和选择算子(LASSO) Cox惩罚回归分析来选择风险评分预后标志的最佳基因。然后,我们分析验证数据集并评估风险评分预后特征的有效性。最后,我们进行了实时定量PCR实验来验证预后标志中的基因。结果:我们鉴定了43个与HCC患者OS相关的差异表达LLPS基因。选择其中5个基因(BMX、FYN、KPNA2、PFKFB4和SPP1)来生成预后风险评分特征。在训练数据集和验证数据集中,低风险组患者的OS优于高风险组患者。我们发现BMX和FYN在HCC肿瘤组织中的表达水平较低,而KPNA2、PFKFB4和SPP1在HCC肿瘤组织中的表达水平较高。验证表明5 - llps基因风险评分签名具有预测HCC患者OS的能力。结论:本研究构建了5个llps基因的风险评分特征,可作为一种有效、便捷的预后工具。这5个基因可能成为HCC治疗的潜在靶点。
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A Five-LLPS Gene Risk Score Prognostic Signature Predicts Survival in Hepatocellular Carcinoma.

Background: Primary liver cancer, dominated by hepatocellular carcinoma (HCC), is one of the most common cancer types and the third leading cause of cancer death in 2020. Previous studies have shown that liquid-liquid phase separation (LLPS) plays an important role in the occurrence and development of cancer including HCC, but its influence on the patient prognosis is still unknown. It is necessary to explore the effect of LLPS genes on prognosis to accurately forecast the prognosis of HCC patients and identify relevant targeted therapeutic sites.

Methods: Using The Cancer Genome Atlas dataset and PhaSepDB dataset, we identified LLPS genes linked to the overall survival (OS) of HCC patients. We applied Least Absolute Shrinkage and Selection Operator (LASSO) Cox penalized regression analysis to choose the best genes for the risk score prognostic signature. We then analysed the validation dataset and evaluated the effectiveness of the risk score prognostic signature. Finally, we performed quantitative real-time PCR experiments to validate the genes in the prognostic signature.

Results: We identified 43 differentially expressed LLPS genes that were associated with the OS of HCC patients. Five of these genes (BMX, FYN, KPNA2, PFKFB4, and SPP1) were selected to generate a prognostic risk score signature. Patients in the low-risk group were associated with better OS than those in the high-risk group in both the training dataset and the validation dataset. We found that BMX and FYN had lower expression levels in HCC tumour tissues, whereas KPNA2, PFKFB4, and SPP1 had higher expression levels in HCC tumour tissues. The validation demonstrated that the five-LLPS gene risk score signature has the capability of predicting the OS of HCC patients.

Conclusion: Our study constructed a five-LLPS gene risk score signature that can be applied as an effective and convenient prognostic tool. These five genes might serve as potential targets for therapy and the treatment of HCC.

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来源期刊
International Journal of Genomics
International Journal of Genomics BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CiteScore
5.40
自引率
0.00%
发文量
33
审稿时长
17 weeks
期刊介绍: International Journal of Genomics is a peer-reviewed, Open Access journal that publishes research articles as well as review articles in all areas of genome-scale analysis. Topics covered by the journal include, but are not limited to: bioinformatics, clinical genomics, disease genomics, epigenomics, evolutionary genomics, functional genomics, genome engineering, and synthetic genomics.
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