The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins

被引:3
作者
Wang, Yang [1 ]
Tan, Huaicheng [1 ]
Yu, Ting [2 ]
Ma, Xuelei [3 ,4 ,5 ]
Chen, Xiaoxuan [6 ]
Jing, Fangqi [6 ]
Zou, Liqun [7 ]
Shi, Huashan [3 ,4 ,5 ]
机构
[1] Sichuan Univ, West China Hosp, Natl Clin Res Ctr Geriatr, Lab Aging Res & Canc Drug Target,State Key Lab Bi, 17,Block 3,Southern Renmin Rd, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, West China Sch Med, Dept Pathol & Lab Pathol,State Key Lab Biotherapy, Chengdu, Peoples R China
[3] Sichuan Univ, West China Hosp, Canc Ctr, Dept Biotherapy, Chengdu, Peoples R China
[4] Sichuan Univ, West China Hosp, Canc Ctr, Dept Radiotherapy, Chengdu, Peoples R China
[5] Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Chengdu, Peoples R China
[6] Sichuan Univ, West China Hosp Stomatol, Natl Clin Res Ctr Oral Dis, State Key Lab Oral Dis, Chengdu 610041, Peoples R China
[7] Sichuan Univ, West China Hosp, Canc Ctr, Dept Head & Neck Canc, Chengdu, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Extranodal NK/T-cell lymphoma; Sequencing; Support vector machine-recursive feature elimination; Machine learning algorithms; Single sample gene set enrichment analysis; Immune infiltration; EXPRESSION; CANDIDATE; DIAGNOSIS; GROWTH;
D O I
10.1186/s12885-021-09023-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (ENKTL). Cancer neoantigens are the result of somatic mutations and cancer-specific. Increased number of somatic mutations are associated with anti-cancer effects. Screening out ENKTL-specific neoantigens on the surface of cancer cells relies on the understanding of ENKTL mutation patterns. Hence, it is imperative to identify ENKTL-specific genes for ENKTL diagnosis, the discovery of tumor-specific neoantigens and the development of novel therapeutic strategies. We investigated the gene signatures of ENKTL patients. Methods: We collected the peripheral blood of a pair of twins for sequencing to identify unique variant genes. One of the twins is diagnosed with ENKTL. Seventy samples were analyzed by Robust Multi-array Analysis (RMA). Two methods (elastic net and Support Vector Machine-Recursive Feature Elimination) were used to select unique genes. Next, we performed functional enrichment analysis and pathway enrichment analysis. Then, we conducted single-sample gene set enrichment analysis of immune infiltration and validated the expression of the screened markers with limma packages. Results: We screened out 126 unique variant genes. Among them, 11 unique genes were selected by the combination of elastic net and Support Vector Machine-Recursive Feature Elimination. Subsequently, GO and KEGG analysis indicated the biological function of identified unique genes. GSEA indicated five immunity-related pathways with high signature scores. In patients with ENKTL and the group with high signature scores, a proportion of functional immune cells are all of great infiltration. We finally found that CDC27, ZNF141, FCGR2C and NES were four significantly differential genes in ENKTL patients. ZNF141, FCGR2C and NES were upregulated in patients with ENKTL, while CDC27 was significantly downregulated. Conclusion: We identified four ENKTL markers (ZNF141, FCGR2C, NES and CDC27) in patients with extranodal NK/T-cell lymphoma.
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页数:12
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