LPAR1 的下调促进甲状腺乳头状癌细胞的侵袭行为

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Cancer Informatics Pub Date : 2024-09-08 eCollection Date: 2024-01-01 DOI:10.1177/11769351241277012
Zahra Bokaii Hosseini, Fatemeh Rajabi, Reza Morovatshoar, Mahshad Ashrafpour, Panteha Behboodi, Dorsa Zareie, Mohammad Natami
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引用次数: 0

摘要

背景:溶血磷脂酸受体 1(LPAR1溶血磷脂酸受体1(LPAR1)已被确定为多种癌症类型的生物标志物。然而,它在甲状腺乳头状癌(PTC)中的生物学功能仍然未知:方法:通过对TCGA和GEO数据集进行生物信息学分析,发现LPAR1是PTC细胞上皮-间质转化(EMT)的关键调控因子。此外还进行了PPI分析以及与免疫浸润的相关性分析。使用Gepia2和GTEx评估了LPAR1的表达,并使用multiMiR进行了miRNA靶基因预测。为了评估 LPAR1 的表达,我们提取了 BCPAP 细胞系和正常人甲状腺上皮细胞系 Nthy-ori 3-1 的总 RNA。然后使用实时定量聚合酶链反应(qRT-PCR)测定了BCPAP细胞系中LPAR1的表达水平,并与Nthy-ori 3-1细胞系进行了比较:结果:与正常组织相比,1081 个基因上调,544 个基因下调。通过分析 TCGA 和 GEO 数据集,LPAR1 被确定为关键候选基因。PPI数据分析显示了与转移相关蛋白的相互作用。功能富集分析表明,LPAR1参与了磷脂酶D和肌动蛋白细胞骨架调节等信号通路。LPAR1 的表达与免疫浸润(如 CD4+ T 细胞、巨噬细胞、中性粒细胞和骨髓树突状细胞)呈正相关,但与 B 细胞呈负相关。此外,miR-221-5p 被认为是 PTC 中 LPAR1 的靶点。此外,我们的实验数据表明,与非恶性细胞系相比,LPAR1在PTC细胞系中表达不足(P 结论:LPAR1在PTC细胞系中表达不足:LPAR1 可抑制转移并与 EMT 有关,PTC 中 LPAR1 表达的减少和 miR-221-5p 的增加证明了这一点。这表明 LPAR1 有可能成为诊断和预后的生物标记物以及 EMT 的治疗靶点。
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Downregulation of LPAR1 Promotes Invasive Behavior in Papillary Thyroid Carcinoma Cells.

Background: Lysophosphatidic acid receptor 1 (LPAR1) has been identified as a biomarker in various cancer types. However, its biological function in papillary thyroid carcinoma (PTC) remains unknown.

Methods: LPAR1 was identified as a key regulator of epithelial-mesenchymal transition (EMT) in PTC cells through bioinformatics analysis of TCGA and GEO datasets. PPI analysis and correlation with immune infiltrates were also conducted. LPAR1 expression was evaluated using Gepia2 and GTEx, and miRNA target gene prediction was done with multiMiR. To assess the expression of LPAR1, we extracted total RNA from both the BCPAP cell line and the normal human thyroid epithelial cell line Nthy-ori 3-1. The levels of LPAR1 expression were then measured using quantitative real-time polymerase chain reaction (qRT-PCR) in the BCPAP cell line, with a comparison to the Nthy-ori 3-1 cell line.

Results: 1081 genes were upregulated, and 544 were downregulated compared to normal tissue. LPAR1 was identified as a key candidate by analyzing the TCGA and GEO datasets. PPI data analysis showed interactions with metastasis-related proteins. Functional enrichment analysis indicated involvement in signaling pathways like phospholipase D and actin cytoskeleton regulation. LPAR1 expression correlated positively with immune infiltrates such as CD4+ T cells, macrophages, neutrophils, and myeloid dendritic cells but negatively with B cells. Additionally, miR-221-5p was predicted to target LPAR1 in PTC. Furthermore, our experimental data demonstrated that LPAR1 was under-expressed in the PTC cell line compared to the nonmalignant one (P < .01).

Conclusion: LPAR1 suppresses metastasis and is linked to EMT, as evidenced by the decreased LPAR1 expression and increased miR-221-5p in PTC. This suggests its potential as a biomarker for diagnosis and prognosis and as a therapeutic target for EMT.

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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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