Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma

被引:29
作者
Fu, Lin [1 ,2 ,3 ]
Cheng, Zhiheng [4 ]
Dong, Fen [5 ]
Quan, Liang [1 ,2 ]
Cui, Longzhen [6 ]
Liu, Yan [6 ]
Zeng, Tiansheng [7 ]
Huang, Wenhui [1 ,2 ]
Chen, Jinghong [2 ]
Pang, Ying [1 ]
Ye, Xu [1 ]
Wu, Guangsheng [8 ]
Qian, Tingting [1 ,2 ]
Chen, Yang [9 ,10 ,11 ,12 ]
Si, Chaozeng [13 ]
机构
[1] Guangzhou Med Univ, Affiliated Hosp 2, Dept Hematol, Guangzhou 510260, Guangdong, Peoples R China
[2] Guangzhou Med Univ, Affiliated Hosp 2, Translat Med Ctr, State Key Lab Resp Dis, Guangzhou 510260, Guangdong, Peoples R China
[3] Henan Univ, Huaihe Hosp, Dept Hematol, Kaifeng, Peoples R China
[4] Univ Groningen, Univ Med Ctr Groningen, Dept Pathol & Med Biol, Groningen, Netherlands
[5] China Japan Friendship Hosp, Inst Clin Med Sci, Beijing 100029, Peoples R China
[6] Henan Univ, Huaihe Hosp, Translat Med Ctr, Kaifeng, Peoples R China
[7] Univ Sassari, Dept Biomed Sci, I-07100 Sassari, Italy
[8] Shihezi Univ, Med Coll, Affiliated Hosp 1, Dept Hematol, Shihezi 832008, Peoples R China
[9] Tsinghua Univ, MOE Key Lab Bioinformat, Beijing 100084, Peoples R China
[10] Tsinghua Univ, TNLIST, Bioinformat Div, Beijing 100084, Peoples R China
[11] Tsinghua Univ, TNLIST, Ctr Synthet & Syst Biol, Beijing 100084, Peoples R China
[12] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
[13] China Japan Friendship Hosp, Dept Operat & Informat Management, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple myeloma; FCER1G; Prognosis; Gene expression profile; Bioinformatics analysis; PLASMA-CELL LEUKEMIA; GAMMA-SUBUNIT; GENES; RECEPTOR; POLYMORPHISMS; FCGR2A; CLASSIFICATION; ASSOCIATION; ACTIVATION; INHIBITOR;
D O I
10.7150/jca.37313
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Multiple myeloma (MM) is the second most common hematologic malignancy worldwide and does not have sufficient prognostic indicators. FCER1G (Fc fragment Of IgE receptor Ig) is located on chromosome 1q23.3 and is involved in the innate immunity. Early studies have shown that FCER1G participates in many immune-related pathways encompassing multiple cell types. Meanwhile, it is associated with many malignancies. However, the relationship between MM and FCER1G has not been studied. Methods: In this study, we integrated nine independent gene expression omnibus (GEO) datasets and analyzed the associations of FCER1G expression and myeloma progression, ISS stage, 1q21 amplification and survival in 2296 myeloma patients and 48 healthy donors. Results: The expression of FCER1G showed a decreasing trend with the advance of myeloma. As ISS stage and 1q21 amplification level increased, the expression of FCER1G decreased (P = 0.0012 and 0.0036, respectively). MM patients with high FCER1G expression consistently had longer EFS and OS across three large sample datasets (EFS: P = 0.0057, 0.0049, OS: P = 0.0014, 0.00065, 0.0019 and 0.0029, respectively). Meanwhile, univariate and multivariate analysis indicated that high FCER1G expression was an independent favorable prognostic factor for EFS and OS in MM patients (EFS: P = 0.006, 0.027, OS: P =0.002,0.025, respectively). Conclusions: The expression level of FCER1G negatively correlated with myeloma progression, and high FCER1G expression may be applied as a favorable biomarker in MM patients.
引用
收藏
页码:1182 / 1194
页数:13
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