Transcriptome integration analysis and specific diagnosis model construction for Hodgkin's lymphoma, diffuse large B-cell lymphoma, and mantle cell lymphoma

被引:0
作者
Li, Wen-Xing [1 ,2 ]
Dai, Shao-Xing [3 ]
An, San-Qi [4 ,5 ,6 ]
Sun, Tingting [7 ]
Liu, Justin [8 ]
Wang, Jun [9 ]
Liu, Leyna G. [10 ]
Xun, Yang [9 ]
Yang, Hua [9 ]
Fan, Li-Xia [9 ]
Zhang, Xiao-Li [9 ]
Liao, Wan-Qin [9 ]
You, Hua [11 ]
Tamagnone, Luca [12 ]
Liu, Fang [9 ]
Huang, Jing-Fei [13 ]
Liu, Dahai [9 ]
机构
[1] Southern Med Univ, Sch Basic Med Sci, Dept Biochem & Mol Biol, Guangzhou, Guangdong, Peoples R China
[2] Southern Med Univ, Guangdong Prov Key Lab Single Cell Technol & Appl, Guangzhou, Guangdong, Peoples R China
[3] Kunming Univ Sci & Technol, Inst Primate Translat Med, Yunnan Key Lab Primate Biomed Res, Kunming, Yunnan, Peoples R China
[4] Guangxi Med Univ, Life Sci Inst, Biosafety Level Lab 3, Nanning, Guangxi, Peoples R China
[5] Guangxi Med Univ, Guangxi Key Lab AIDS Prevent & Treatment, Nanning, Guangxi, Peoples R China
[6] Guangxi Med Univ, Guangxi Collaborat Innovat Ctr Biomed, Nanning, Guangxi, Peoples R China
[7] Peking Univ, Natl Sch Dev, Beijing 100871, Peoples R China
[8] Univ Calif Riverside, Dept Stat, Riverside, CA 92521 USA
[9] Foshan Univ, Sch Med, Foshan Stomatol Hosp, Foshan, Guangdong, Peoples R China
[10] Portola High Sch, Irvine, CA 92618 USA
[11] Guangzhou Med Univ, Affiliated Canc Hosp & Inst, Guangzhou, Guangdong, Peoples R China
[12] Univ Cattolica Sacro Cuore, Ist Istol & Embriol, Rome, Italy
[13] Chinese Acad Sci, Kunming Inst Zool, Key Lab Anim Models & Human Dis Mech, Kunming, Yunnan, Peoples R China
来源
AGING-US | 2021年 / 13卷 / 08期
基金
中国国家自然科学基金;
关键词
lymphoma; gene expression; diagnostic model; marker gene; intergroup difference; GENE-EXPRESSION; CANCER-DIAGNOSIS; FEATURE-SELECTION; PREDICTION MODEL; CLINICAL IMPACT; CLASSIFICATION; BIOMARKERS; UPDATE; PATHWAYS; SURVIVAL;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Transcriptome differences between Hodgkin's lymphoma (HL), diffuse large B-cell lymphoma (DLBCL), and mantle cell lymphoma (MCL), which are all derived from B cell, remained unclear. This study aimed to construct lymphoma-specific diagnostic models by screening lymphoma marker genes. Transcriptome data of HL, DLBCL, and MCL were obtained from public databases. Lymphoma marker genes were screened by comparing cases and controls as well as the intergroup differences among lymphomas. A total of 9 HL marker genes, 7 DLBCL marker genes, and 4 MCL marker genes were screened in this study. Most HL marker genes were upregulated, whereas DLBCL and MCL marker genes were downregulated compared to controls. The optimal HL-specific diagnostic model contains one marker gene (MYH2) with an AUC of 0.901. The optimal DLBCL-specific diagnostic model contains 7 marker genes (LIPF, CCDC144B, PRO2964, PHF1, SFTPA2, NTS, and HP) with an AUC of 0.951. The optimal MCL-specific diagnostic model contains 3 marker genes (IGLV319, IGKV4-1, and PRB3) with an AUC of 0.843. The present study reveals the transcriptome data-based differences between HL, DLBCL, and MCL, when combined with other clinical markers, may help the clinical diagnosis and prognosis.
引用
收藏
页码:11833 / 11859
页数:27
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