Analysis of prognostic value of lactate metabolism-related genes in ovarian cancer based on bioinformatics.

IF 3.8 3区医学 Q1 REPRODUCTIVE BIOLOGY Journal of Ovarian Research Pub Date : 2024-05-22 DOI:10.1186/s13048-024-01426-z

Jinrui Sun, Qinmei Feng, Yingying Xu, Ping Liu, Yumei Wu

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Abstract

Background: Recent studies have provided evidence supporting the functional role and mechanism of lactate in suppressing anticancer immunity. However, there is no systematic analysis of lactate metabolism-related genes (LMRGs) and ovarian cancer (OV) prognosis.

Results: Six genes (CCL18, CCND1, MXRA5, NRBP2, OLFML2B and THY1) were selected as prognostic genes and a prognostic model was utilized. Kaplan-Meier (K-M) and Receiver Operating Characteristic (ROC) analyses were further performed and indicated that the prognostic model was effective. Subsequently, the neoplasm_cancer_status and RiskScore were determined as independent prognostic factors, and a nomogram was established with relatively accurate forecasting ability. Additionally, 2 types of immune cells (Central memory CD8 T cell and Immature B cell), 4 types of immune functions (APC co inhibition, DCs, Tfh and Th1 cells), 9 immune checkpoints (BTLA, CTLA4, IDO1, LAG3, VTCN1, CXCL10, CXCL9, IFNG, CD27) and tumor immune dysfunction and exclusion (TIDE) scores were significantly different between risk groups. The expression of 6 genes were verified by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) and the expression of 6 genes were higher in the high-grade serous carcinoma (HGSC) samples.

Conclusion: A prognostic model related to lactate metabolism was established for OV based on six genes (CCL18, CCND1, MXRA5, NRBP2, OLFML2B and THY1) that could provide new insights into therapy.

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基于生物信息学的卵巢癌乳酸代谢相关基因预后价值分析

背景：最近的研究提供了支持乳酸在抑制抗癌免疫中的功能作用和机制的证据。然而，目前还没有系统分析乳酸代谢相关基因（LMRGs）与卵巢癌（OV）预后的关系：结果：选择了六个基因（CCL18、CCND1、MXRA5、NRBP2、OLFML2B 和 THY1）作为预后基因，并利用预后模型进行分析。进一步进行了卡普兰-梅耶（K-M）和接收者操作特征（ROC）分析，结果表明预后模型是有效的。随后，肿瘤癌症状态和风险评分被确定为独立的预后因素，并建立了一个具有相对准确预测能力的提名图。此外，2种免疫细胞（中央记忆CD8 T细胞和未成熟B细胞）、4种免疫功能（APC协同抑制、DCs、Tfh和Th1细胞）、9种免疫检查点（BTLA、CTLA4、IDO1、LAG3、VTCN1、CXCL10、CXCL9、IFNG、CD27）以及肿瘤免疫功能障碍和排斥（TIDE）评分在不同风险组之间存在显著差异。通过定量实时聚合酶链反应（qRT-PCR）验证了6个基因的表达，其中6个基因在高级别浆液性癌（HGSC）样本中的表达量更高：结论：基于6个基因（CCL18、CCND1、MXRA5、NRBP2、OLFML2B和THY1）建立了与乳酸代谢相关的OV预后模型，可为治疗提供新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Ovarian Research REPRODUCTIVE BIOLOGY-

CiteScore

6.20

自引率

2.50%

发文量

125

审稿时长

>12 weeks

期刊介绍： Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.