基于數據挖掘分析GPR35表達對肺腺癌預后的影響

葛麗艷 王琦 朱宏

摘 要：目的 研究數據挖掘分析GPR35表達對肺腺癌預后的影響，并明晰其參與的分析調控網絡。方法 利用Oncomine數據庫挖掘GPR35在肺腺癌組織中的表達情況；利用Kaplan-Meier Plotter進行肺腺癌患者生存周期分析；利用Coexpedia數據庫分析GPR35參與的分子調控網絡。結果 GPR35在人體正常組織中均有表達，其中胰腺組織和骨髓來源的CD33+細胞含量較高。相比于正常肺組織，GPR35基因在肺腺癌組織中呈現高表達，而在肺鱗癌以及大細胞肺癌中，未見明顯變化。GPR35基因在肺腺癌組織中，男性患者相對于女性患者呈現高表達，而其表達在StageⅠ和StageⅣ均明顯上調，且StageⅣ中GPR35的表達高于其他三期的患者；肺腺癌組織中存在EGFR L858R突變的患者，其GPR35的表達相對于無突變的患者明顯上調。GPR35的表達水平對肺腺癌患者的總生存時間有著顯著影響。與低表達組相比，GPR35高表達組肺腺癌患者的總存活時間降低（P<0.05）；GPR35的表達水平對LUSC患者的總生存時間未見顯著影響（P>0.05）。GPR35參與多種腫瘤相關的分子調控網絡。結論 大樣本數據挖掘能迅速準確地獲取肺腺癌組織中GPR35表達的相關信息，為深入研究奠定基礎。

關鍵詞：肺腺癌；GPR35；數據挖掘；Oncomine 數據庫

中圖分類號：R734.2 文獻標識碼：A DOI：10.3969/j.issn.1006-1959.2018.23.024

文章編號：1006-1959（2018）23-0086-06

Abstract：Objective The expression of GPR35 has been found in many tissues and cells. However， no systemic research on lung adenocarcinoma was reported. Methods The Oncomine database was used to explore the expression of GPR35 in lung adenocarcinoma tissues. Kaplan-Meier Plotter was used to analyze the life cycle of lung adenocarcinoma patients. The Coexpedia database was used to analyze the molecular regulatory network involved in GPR35. Results GPR35 was expressed in normal human tissues， and the content of CD33+ cells in pancreatic tissue and bone marrow was higher. Compared with normal lung tissue， GPR35 gene showed high expression in lung adenocarcinoma tissues， but no significant changes in lung squamous cell carcinoma and large cell lung cancer. GPR35 gene in lung adenocarcinoma tissues， male patients showed high expression compared with female patients， and its expression was significantly up-regulated in both StageI and Stage IV， and the expression of GPR35 in Stage IV was higher than that in other three stages； the presence of lung adenocarcinoma In patients with the EGFR L858R mutation， the expression of GPR35 was significantly up-regulated relative to patients without mutation. The expression level of GPR35 has a significant effect on the overall survival of patients with lung adenocarcinoma. Compared with the low expression group， the total survival time of patients with GPR35 high expression group was decreased （P<0.05）；The expression level of GPR35 had no significant effect on the overall survival time of LUSC patients （P>0.05）. GPR35 is involved in a variety of tumor-related molecular regulatory networks. Conclusion Large-scale data mining can quickly and accurately obtain information about the expression of GPR35 in lung adenocarcinoma， which lays a foundation for further research.

Key words：Lung adenocarcinoma；GPR35；Data mining；Oncomine database

肺癌（lung cancer）是嚴重威脅人類健康的惡性腫瘤之一，其發病率居高不下，亦是人類癌癥死亡最重要的原因之一[1]。按照組織學差異，肺癌可分為小細胞肺癌（small-cell lung cancer，SCLC）和非小細胞肺癌（non-small-cell lung cancer，NSCLC），后者又主要分為肺腺癌（lung adenocarcinoma，LUAD）和肺鱗癌（lung squamous cell carninoma，LUSC）。在我國，肺腺癌占NSCLC總數的50%以上，發病年齡較小，臨床治療效果及預后不如鱗癌，手術切除后5年生存率<10%。因此，尋找肺腺癌早期診斷和預后判斷的指標，是目前實現肺腺癌有效治療的關鍵?！?br>