Prognostic value of prostaglandin I2 synthase and its correlation with tumor-infiltrating immune cells in lung cancer, ovarian cancer, and gastric cancer
Prognostic value of prostaglandin I2 synthase and its correlation with tumor-infiltrating immune cells in lung cancer, ovarian cancer, and gastric cancer
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前列腺素I2合酶在肺癌、卵巢癌、胃癌中的预后价值及其与肿瘤浸润免疫细胞的相关性
DOI：
10.18632/aging.103235
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发表时间：
2020-05-31
期刊：
影响因子：
5.2
通讯作者：
Liu, Jihong
中科院分区：
文献类型：
--
作者：
Dai, Danian;Chen, Bo;Liu, Jihong
背景：前列腺素I2合成酶（Prostaglandin I2 synthase， PTGIS）是合成前列腺素I2的关键基因，在炎症和免疫调节中具有多种作用。然而，关于PTGIS在多种癌症中的预后价值及其与肿瘤浸润免疫细胞相关性的研究仍然很少。结果：Oncomine数据库的多个数据集显示，与正常组织相比，PTGIS在肺癌和卵巢癌中的表达水平较低。Kaplan-Meier绘图图显示，高PTGIS与肺癌、卵巢癌和胃癌的总生存期和无进展生存期差相关。此外，PTGIS的表达与巨噬细胞的浸润水平呈显著正相关，并与多种免疫标志物，特别是肿瘤相关巨噬细胞（tam）和t调节细胞（Tregs）密切相关。结论：PTGIS高表达可促进肿瘤微环境中TAMs和Tregs的浸润，恶化肺癌、卵巢癌和胃癌患者的预后。这些发现提示PTGIS可作为预后和肿瘤浸润免疫细胞的潜在生物标志物。方法：研究PTGIS在Oncomine数据库不同数据集中的表达情况，并通过Tumor Immune Estimation Resource （TIMER）分析其在各种肿瘤及相应正常组织中的表达水平。然后，通过在线公共数据库评估PTGIS的临床预后价值。此外，我们通过TIMER和基因表达谱交互分析（GEPIA）初步探讨了PTGIS与肿瘤浸润免疫细胞的相关性。
Background: Prostaglandin I2 synthase (PTGIS) is a crucial gene for the synthesis of prostaglandin I2, which has multiple roles in inflammation and immune modulation. However, studies on the prognostic value of PTGIS and its correlation with tumor-infiltrating immune cells in multiple cancers are still rare. Results: Multiple datasets of the Oncomine database showed that PTGIS was expressed at low levels in lung cancer and ovarian cancer compared to the levels in normal tissues. Kaplan-Meier plotter showed that high PTGIS was associated with poor overall survival and progression-free survival in lung, ovarian, and gastric cancers. Moreover, PTGIS expression was significantly positively correlated with infiltrating levels of macrophages and was strongly associated with a variety of immune markers, especially tumor-associated macrophages (TAMs) and T-regulatory cells (Tregs). Conclusions: High expression of PTGIS could promote the infiltration of TAMs and Tregs in the tumor microenvironment and deteriorate outcomes of patients with lung, ovarian, and gastric cancers. These findings suggest that PTGIS could be taken as a potential biomarker of prognosis and tumor-infiltrating immune cells. Methods: PTGIS expression was investigated in different datasets of the Oncomine database, and its expression levels in various tumors and corresponding normal tissues were analyzed by the Tumor Immune Estimation Resource (TIMER). Then, the clinical prognostic value of PTGIS was assessed with online public databases. In addition, we initially explored the correlation between PTGIS and tumor-infiltrating immune cells by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA).