Elucidating the role of liver enzymes as markers and regulators in ovarian cancer: a synergistic approach using Mendelian randomization, single-cell analysis, and clinical evidence.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY Human Genomics Pub Date : 2024-06-24 DOI:10.1186/s40246-024-00642-4
Yinxing Zhu, Min Jiang, Zihan Gu, Hongyu Shang, Caiyin Tang, Ting Guo
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Abstract

Objective: To investigate the association between liver enzymes and ovarian cancer (OC), and to validate their potential as biomarkers and their mechanisms in OC. Methods Genome-wide association studies for OC and levels of enzymes such as Alkaline phosphatase (ALP), Aspartate aminotransferase (AST), Alanine aminotransferase, and gamma-glutamyltransferase were analyzed. Univariate and multivariate Mendelian randomization (MR), complemented by the Steiger test, identified enzymes with a potential causal relationship to OC. Single-cell transcriptomics from the GSE130000 dataset pinpointed pivotal cellular clusters, enabling further examination of enzyme-encoding gene expression. Transcription factors (TFs) governing these genes were predicted to construct TF-mRNA networks. Additionally, liver enzyme levels were retrospectively analyzed in healthy individuals and OC patients, alongside the evaluation of correlations with cancer antigen 125 (CA125) and Human Epididymis Protein 4 (HE4).

Results: A total of 283 single nucleotide polymorphisms (SNPs) and 209 SNPs related to ALP and AST, respectively. Using the inverse-variance weighted method, univariate MR (UVMR) analysis revealed that ALP (P = 0.050, OR = 0.938) and AST (P = 0.017, OR = 0.906) were inversely associated with OC risk, suggesting their roles as protective factors. Multivariate MR (MVMR) confirmed the causal effect of ALP (P = 0.005, OR = 0.938) on OC without reverse causality. Key cellular clusters including T cells, ovarian cells, endothelial cells, macrophages, cancer-associated fibroblasts (CAFs), and epithelial cells were identified, with epithelial cells showing high expression of genes encoding AST and ALP. Notably, TFs such as TCE4 were implicated in the regulation of GOT2 and ALPL genes. OC patient samples exhibited decreased ALP levels in both blood and tumor tissues, with a negative correlation between ALP and CA125 levels observed.

Conclusion: This study has established a causal link between AST and ALP with OC, identifying them as protective factors. The increased expression of the genes encoding these enzymes in epithelial cells provides a theoretical basis for developing novel disease markers and targeted therapies for OC.

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阐明肝酶在卵巢癌中的标记和调节作用:利用孟德尔随机化、单细胞分析和临床证据的协同方法。
研究目的研究肝酶与卵巢癌(OC)之间的关联,并验证其作为生物标记物的潜力及其在卵巢癌中的作用机制。方法 对卵巢癌与碱性磷酸酶(ALP)、天门冬氨酸氨基转移酶(AST)、丙氨酸氨基转移酶和γ-谷氨酰转移酶等酶水平的全基因组关联研究进行分析。通过单变量和多变量孟德尔随机化(MR),并辅以Steiger检验,确定了与OC有潜在因果关系的酶。来自 GSE130000 数据集的单细胞转录组学精确定位了关键的细胞集群,从而进一步检验了酶编码基因的表达。通过预测支配这些基因的转录因子(TF),构建了TF-mRNA网络。此外,还对健康人和卵巢癌患者的肝酶水平进行了回顾性分析,并评估了与癌症抗原125(CA125)和人类附睾蛋白4(HE4)的相关性:共有 283 个单核苷酸多态性(SNPs)和 209 个 SNPs 分别与 ALP 和 AST 有关。使用逆方差加权法进行的单变量 MR(UVMR)分析表明,ALP(P = 0.050,OR = 0.938)和 AST(P = 0.017,OR = 0.906)与 OC 风险成反比,表明它们是保护因素。多变量MR(MVMR)证实了ALP(P = 0.005,OR = 0.938)对OC的因果效应,而没有反向因果关系。确定了包括 T 细胞、卵巢细胞、内皮细胞、巨噬细胞、癌相关成纤维细胞(CAFs)和上皮细胞在内的关键细胞群,其中上皮细胞显示了 AST 和 ALP 编码基因的高表达。值得注意的是,TCE4 等 TFs 与 GOT2 和 ALPL 基因的调控有关。OC患者样本的血液和肿瘤组织中ALP水平均有所下降,ALP与CA125水平呈负相关:本研究确定了 AST 和 ALP 与 OC 之间的因果关系,并将其确定为保护因素。上皮细胞中编码这些酶的基因表达增加,为开发新型疾病标记物和 OC 靶向疗法提供了理论依据。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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