Yu Fanrong, Liu Xin, Li Min, Liu Xiufen, Wang Xintai, Guo Meixiang
Department of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Department of Pathology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Front Oncol. 2023 Oct 16;13:1247446. doi: 10.3389/fonc.2023.1247446. eCollection 2023.
This study aims to investigate the potential of PDIA3 as a novel prognostic biomarker and therapeutic target for Endometrial Cancer (EC) with the ultimate goal of improving survival rates in EC patients.
This study employed a combination of public database analysis and clinical tissue sample assays. The analysis included comparing the gene expression of PDIA3 between EC and adjacent paracancerous tissues, investigating this expression status using qPCR and immunohistochemistry (IHC) assays, studying the correlation of expression with different parameters using Chi-square test, Cox Regression, and log-rank test, as well as exploring the PDIA3-related immune infiltration and metabolic pathway using TIMER and GSEA.
The analysis of public datasets revealed that PDIA3 mRNA and protein expression was significantly higher in EC tissues compared to adjacent tissues (P = 4.1e-03, P = 1.95e-14, and P = 1.6e-27, respectively). The qPCR analysis supported this finding (P = 0.029). IHC analysis revealed a significant increase in PDIA3 expression in endometrial cancer (EC) tissues compared to adjacent normal tissues (P = 0.01). Furthermore, PDIA3 expression showed significant correlations with cancer stage and tumor grade. Multivariate Cox regression analysis suggested that the PDIA3 gene holds promise as a prognostic factor for EC patients (HR = 0.47, 95% CI [0.27, 0.82], P = 0.008). The results from TIMER demonstrated a positive correlation between PDIA3 and tumor-infiltrating CD8 T cells and macrophages, and a negative correlation with tumor-infiltrating CD4 T cells. Additionally, the GSEA results indicated that PDIA3 overexpression was associated with various metabolic processes in EC patients.
PDIA3 has been validated as a potential biomarker for EC, and its expression is further associated with pathological staging and prognosis.
本研究旨在探讨PDIA3作为子宫内膜癌(EC)新型预后生物标志物和治疗靶点的潜力,最终目标是提高EC患者的生存率。
本研究采用公共数据库分析和临床组织样本检测相结合的方法。分析内容包括比较EC组织与相邻癌旁组织中PDIA3的基因表达,使用qPCR和免疫组织化学(IHC)检测研究其表达状态,使用卡方检验、Cox回归和对数秩检验研究表达与不同参数的相关性,以及使用TIMER和GSEA探索与PDIA3相关的免疫浸润和代谢途径。
公共数据集分析显示,与相邻组织相比,EC组织中PDIA3 mRNA和蛋白表达显著更高(分别为P = 4.1e - 03、P = 1.95e - 14和P = 1.6e - 27)。qPCR分析支持了这一发现(P = 0.029)。IHC分析显示,与相邻正常组织相比,子宫内膜癌(EC)组织中PDIA3表达显著增加(P = 0.01)。此外,PDIA3表达与癌症分期和肿瘤分级显著相关。多变量Cox回归分析表明,PDIA3基因有望作为EC患者的预后因素(HR = 0.47,95%CI[0.27, 0.82],P = 0.008)。TIMER结果表明,PDIA3与肿瘤浸润性CD8 T细胞和巨噬细胞呈正相关,与肿瘤浸润性CD4 T细胞呈负相关。此外,GSEA结果表明,PDIA3过表达与EC患者的各种代谢过程相关。
PDIA3已被验证为EC的潜在生物标志物,其表达还与病理分期和预后相关。