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Cheng, Zhiheng; Dong, Fen; Quan, Liang; Cui, Longzhen; Liu, Yan; Zeng, Tiansheng; Huang, Wenhui; Chen, Jinghong; Pang, Ying Published In: Journal of Breast Cancer

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Cheng, Zhiheng; Dong, Fen; Quan, Liang; Cui, Longzhen; Liu, Yan; Zeng, Tiansheng; Huang, Wenhui; Chen, Jinghong; Pang, Ying Published In: Journal of Breast Cancer University of Groningen Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma Fu, Lin; Cheng, Zhiheng; Dong, Fen; Quan, Liang; Cui, Longzhen; Liu, Yan; Zeng, Tiansheng; Huang, Wenhui; Chen, Jinghong; Pang, Ying Published in: Journal of Breast Cancer DOI: 10.7150/jca.37313 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2020 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Fu, L., Cheng, Z., Dong, F., Quan, L., Cui, L., Liu, Y., Zeng, T., Huang, W., Chen, J., Pang, Y., Ye, X., Wu, G., Qian, T., Chen, Y., & Si, C. (2020). Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma. Journal of Breast Cancer, 11(5), 1182-1194. https://doi.org/10.7150/jca.37313 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 30-09-2021 Journal of Cancer 2020, Vol. 11 1182 Ivyspring International Publisher Journal of Cancer 2020; 11(5): 1182-1194. doi: 10.7150/jca.37313 Research Paper Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma Lin Fu1,2,3, Zhiheng Cheng4, Fen Dong5, Liang Quan1,2, Longzhen Cui6, Yan Liu6, Tiansheng Zeng7, Wenhui Huang1,2, Jinghong Chen2, Ying Pang1, Xu Ye1, Guangsheng Wu8, Tingting Qian1,2, Yang Chen9, Chaozeng Si10 1. Department of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China. 2. Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China. 3. Department of Hematology, Huaihe Hospital of Henan University, Kaifeng, China. 4. Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands. 5. Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, 100029, China. 6. Translational Medicine Center, Huaihe Hospital of Henan University, Kaifeng, China. 7. Department of Biomedical Sciences, University of Sassari, Sassari, 07100, Italy. 8. Department of Hematology, First Affiliated Hospital, Medical College of Shihezi University, Shihezi 832008, China. 9. MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing, 100084, China. 10. Department of Operations and Information Management, China-Japan Friendship Hospital, Beijing, 100029, China. Corresponding authors: Tingting Qian, E-mail: [email protected]; Yang Chen, E-mail: [email protected]; Chaozeng Si, E-mail: [email protected]. © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2019.06.04; Accepted: 2019.11.03; Published: 2020.01.01 Abstract 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. Key words: Multiple myeloma, FCER1G, Prognosis, Gene expression profile, Bioinformatics analysis Background Multiple myeloma (MM) is a hematologic [1-3]. The International Staging System (ISS) divides malignancy characterized by the monoclonal MM into three categories based on the levels of expansion of bone marrow plasma cells (BMPCs) β2-microglobulin and albumin at diagnosis, which are http://www.jcancer.org Journal of Cancer 2020, Vol. 11 1183 surrogate markers of tumor burden. Additionally, This cohort included 48 healthy donors and 640 MM 1q21 amplification is considered a high-risk genetic patients in different stages of monoclonal feature, which is the most common chromosomal gammopathy (104 monoclonal gammopathy of aberration in MM [4, 5]. In recent years, genetic undetermined significance (MGUS), 69 smoldering biomarkers are starting to play an increasingly myeloma (SMM), 452 multiple myeloma (MM) and 15 important role in the prognosis of myeloma [6, 7]. plasma cell leukaemia (PCL)). This cohort was used Therefore, it is necessary to investigate novel for microarray expression analysis. biomarkers to predict the prognosis of MM, so as to The second cohort consisted of three big help improve the prognostication and treatment of independent microarray datasets of MM patients, MM. GSE2658, GSE4204 and GSE24080. In GSE2658, the FCER1G is a protein coding gene located on gene expression data of 559 MM patients was chromosome 1q23.3 [8]. It has been reported that evaluated by the Affymetrix Human Genome U133 FCER1G interacts with other factors and participates Plus 2.0 Array. Samples in GSE4204 were in various nuclear pathways [9]. Specifically, FCER1G pre-treatment bone marrow aspirates from 538 MM is a constitutive component of the high-affinity patients. In GSE24080, the gene expression profiling immunoglobulin E (IgE) receptor and interleukin-3 of highly purified bone marrow plasma cells was receptor complex. It is mainly involved in mediating performed in 559 newly diagnosed MM patients. This the allergic inflammatory signaling of mast cells, cohort was mainly used for survival analysis, and the selectively mediating the production of interleukin 4 expression of FCER1G in different 1q21 amplification (IL4) by basophils, and initiating the transfer from levels and different ISS stages was also described. T-cells to the effector T-helper 2 subset [10, 11]. It also All the samples were classified according to the forms a functional signaling complex together with International Myeloma Working Group criteria [17]. the pattern recognition receptors CLEC4D and The diagnosis of MM (ICD-10 C90.0) was established CLEC4E in myeloid cells. Previous studies have in accordance with the World Health Organization shown that FCER1G is an innate immunity gene and guidelines[18]. The diagnosis of MGUS require more may be involved in the development of eczema, than 10% plasma cell infiltration in the bone marrow, meningioma and childhood leukemia [12-14]. while the levels of monoclonal protein could not FCER1G is associated with the progression of clear exceed 30 g/L and there would be no evidence of cell renal cell carcinoma (ccRCC) and may improve related organ or tissue impairment (ROTI) defined as prognosis by affecting the immune-related pathways. hypercalcemia, renal impairment, anemia, or bone In addition, FCER1G is underexpressed in acute lesions attributed to plasma-cell proliferation. SMM myeloid leukemia [15]. Moreover, FCER1G is a critical was defined with bone marrow plasmacytosis molecule in signaling pathways that are widely exceeding 10%, monoclonal protein level greater than involved in a variety of immune responses and cell 30 g/L, in the absence of ROTI [19]. The diagnostic types [16]. However, the prognostic role of FCER1G in definition of PCL is based on Kyle’s criteria, where MM remains largely unknown. peripheral blood plasma cell absolute count greater Here, we explored the relationship between than 2 × 109/L or percentage of the
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