Dual oncogenic roles of TPD52 and TPD52L2 in gastric cancer progression via PI3K/AKT activation and immunosuppressive microenvironment remodeling.

IF 2.5 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Hailong Li, Xiaqing Gao, Shuangming Guo, Shenfei Gao, Chunting Yang, Rong Su, Zhe Jing, Shuping Qiu, Ping Tang, Jing Han
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引用次数: 0

Abstract

Aim: TPD52 (tumor protein D52) and TPD52L2 (tumor protein D52-like 2), members of the TPD52 gene family, have been implicated in multiple malignancies. However, their roles in gastric cancer (GC) remain elusive. Herein, we integrated multiomics analyses and experimental validation to elucidate their prognostic and functional significance in GC.

Methods: Utilizing The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and tissue microarray datasets, we analyzed TPD52/TPD52L2 expression patterns in patients with GC. Survival analysis, Cox regression, and nomogram construction were performed to assess prognostic value. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis and immune infiltration evaluation (Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts‌/Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data) (CIBERSORTx/ESTIMATE) were conducted to explore the molecular mechanisms involved. In vitro experiments (cell proliferation, migration, invasion, and apoptosis assays) were performed via lentivirus-mediated gene knockdown in gastric cancer cell lines AGS and MKN45 cells.

Results: TPD52 and TPD52L2 were significantly overexpressed in GC tissues compared with their normal counterparts. Elevated TPD52L2 expression was significantly associated with advanced Tumor, Node, Metastasis (TNM) stage and independently predicted reduced overall survival according to multivariate Cox regression. Multivariate analysis identified TPD52L2 as an independent prognostic factor. Diagnostic Receiver Operating Characteristic (ROC) curves yielded area under the curve values of 0.813 (TPD52) and 0.807 (TPD52L2). The results of functional experiments suggested that TPD52/TPD52L2 knockdown inhibited proliferation, migration, G0/G1 arrest, and induced apoptosis. Mechanistically, TPD52/TPD52L2 silencing suppressed PI3K/Akt serine/threonine kinase (AKT)/mammalian target of rapamycin (mTOR) signaling and epithelial-mesenchymal transition marker expression.

Conclusion: TPD52 and TPD52L2 are promising prognostic biomarkers in GC, with TPD52L2 exhibiting greater clinical relevance. Targeting these proteins may disrupt oncogenic signaling pathways and enhance immunotherapy efficacy, warranting further investigation in clinical trials.

TPD52和TPD52L2通过PI3K/AKT激活和免疫抑制微环境重塑在胃癌进展中的双重致癌作用
目的:TPD52基因家族成员TPD52(肿瘤蛋白D52)和TPD52L2(肿瘤蛋白D52样2)与多种恶性肿瘤有关。然而,它们在胃癌(GC)中的作用尚不明确。在此,我们结合多组学分析和实验验证来阐明它们在GC中的预后和功能意义。方法:利用肿瘤基因组图谱(TCGA)、基因表达图谱(GEO)和组织微阵列数据集,分析胃癌患者TPD52/TPD52L2的表达模式。通过生存分析、Cox回归和nomogram构建来评估预后价值。通过基因本体和京都基因与基因组百科全书功能富集分析和免疫浸润评估(Cell-type Identification By estimated Relative Subsets of RNA转录本)/利用表达数据估计恶性肿瘤组织中的基质和免疫细胞)(CIBERSORTx/ESTIMATE)来探索其中的分子机制。通过慢病毒介导的基因敲低,在胃癌细胞系AGS和MKN45细胞中进行了体外实验(细胞增殖、迁移、侵袭和凋亡实验)。结果:与正常组织相比,TPD52和TPD52L2在GC组织中明显过表达。根据多变量Cox回归,TPD52L2表达升高与肿瘤、淋巴结、转移(TNM)晚期显著相关,并独立预测总生存期降低。多变量分析发现TPD52L2是一个独立的预后因素。诊断性受试者工作特征(ROC)曲线下面积分别为0.813 (TPD52)和0.807 (TPD52L2)。功能实验结果表明,敲低TPD52/TPD52L2可抑制细胞增殖、迁移、G0/G1阻滞、诱导细胞凋亡。机制上,TPD52/TPD52L2沉默可抑制PI3K/Akt丝氨酸/苏氨酸激酶(Akt)/哺乳动物雷帕霉素靶蛋白(mTOR)信号和上皮-间质转化标志物的表达。结论:TPD52和TPD52L2是有前景的胃癌预后生物标志物,其中TPD52L2具有更大的临床相关性。靶向这些蛋白可能会破坏致癌信号通路,提高免疫治疗效果,值得在临床试验中进一步研究。
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来源期刊
Briefings in Functional Genomics
Briefings in Functional Genomics BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.30
自引率
2.50%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Briefings in Functional Genomics publishes high quality peer reviewed articles that focus on the use, development or exploitation of genomic approaches, and their application to all areas of biological research. As well as exploring thematic areas where these techniques and protocols are being used, articles review the impact that these approaches have had, or are likely to have, on their field. Subjects covered by the Journal include but are not restricted to: the identification and functional characterisation of coding and non-coding features in genomes, microarray technologies, gene expression profiling, next generation sequencing, pharmacogenomics, phenomics, SNP technologies, transgenic systems, mutation screens and genotyping. Articles range in scope and depth from the introductory level to specific details of protocols and analyses, encompassing bacterial, fungal, plant, animal and human data. The editorial board welcome the submission of review articles for publication. Essential criteria for the publication of papers is that they do not contain primary data, and that they are high quality, clearly written review articles which provide a balanced, highly informative and up to date perspective to researchers in the field of functional genomics.
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