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评估与弥漫性大B细胞淋巴瘤基质浸润相关的五基因特征。

Evaluation of a five-gene signature associated with stromal infiltration for diffuse large B-cell lymphoma.

作者信息

Nan Ying-Yu, Zhang Wen-Jun, Huang De-Hong, Li Qi-Ying, Shi Yang, Yang Tao, Liang Xi-Ping, Xiao Chun-Yan, Guo Bing-Ling, Xiang Ying

机构信息

Department of Hematology, Chongqing University Cancer Hospital, Chongqing 400030, China.

出版信息

World J Clin Cases. 2021 Jun 26;9(18):4585-4598. doi: 10.12998/wjcc.v9.i18.4585.

Abstract

BACKGROUND

Diffuse large B-cell lymphoma (DLBCL) is a common non-Hodgkin lymphoma. The development of immunotherapy greatly improves the patient prognosis but there are some exceptions. Thus, screening for better biomarkers for prognostic evaluation could contribute to the treatment of DLBCL patients.

AIM

To screen the novel mediators involved in the development of DLBCL.

METHODS

The GSE60 dataset was applied to identify the differentially expressed genes (DEGs) in DLBCL, and the principal components analysis plot was used to determine the quality of the included samples. The protein-protein interactions were analyzed by the STRING tool. The key hub genes were entered into to the GEPIA database to determine their expressions in DLBCL. Furthermore, these hub gene alterations were analyzed in cBioportal. The UALCAN portal was employed to analyze the expression of the hub genes in different stages of DLBCL. The Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data Score was conducted to evaluate the correlation between the gene expression and tumor purity. The gene-gene correlation analysis was conducted in the GEPIA. The stromal score analysis was conducted in TIMER to confirm the correlation between the gene expression and infiltrated stromal cells. The correlation between the indicated genes and infiltration level of cancer-associated fibroblasts (CAFs) was also completed in TIMER with two methods, MCP-Counter and Tumor immune dysfunction and exclusion. The correlation between fibronectin (FN1) protein level and secreted protein acidic and cysteine-rich (SPARC) messenger ribonucleic acid expression was confirmed in the cBioportal.

RESULTS

The top 20 DEGs in DLBCL were identified, and the principal components analysis plot confirmed the quality of the significant DEGs. The pairwise correlation coefficient analysis among all samples showed that these DEGs have a certain co-expression pattern. The DEGs were subjected to STRING to identify the hub genes, alpha-2-macroglobulin (), cathepsin B (), , matrix metallopeptidase 9 (), and . The five hub genes were confirmed to be overexpressed in DLBCL. The cBioportal portal detected these five hub genes that had gene alteration, including messenger ribonucleic acid high amplification and missense mutation, and the gene alteration percentages of , , , , and were 5%, 8%, 5%, 2.7%, and 5%, respectively. Furthermore, the five hub genes had a potential positive correlation with tumor stage. The correlation analysis between the five genes and tumor purity confirmed that the five genes were overexpressed in DLBCL and had a positive correlation with the development of DLBCL. More interestingly, the five genes had a significant correlation with the stromal infiltration scores. The correlation analysis between the fives genes and CAFs also showed a significant value, among which the top two genes, and , had a remarkable co-expression pattern.

CONCLUSION

The top DEGs were identified, and the five hub genes were overexpressed in DLBCL. Furthermore, the gene alterations were confirmed and the positive correlation with tumor purity revealed the overexpression of the five genes and close association with the development of DLBCL. More interestingly, the five genes were positively correlated with stromal infiltration, especially in CAFs. The top two genes, and , showed a co-expression pattern, which indicates their potential as novel therapeutic targets for DLBCL.

摘要

背景

弥漫性大B细胞淋巴瘤(DLBCL)是一种常见的非霍奇金淋巴瘤。免疫疗法的发展极大地改善了患者的预后,但也存在一些例外情况。因此,筛选更好的生物标志物用于预后评估有助于DLBCL患者的治疗。

目的

筛选参与DLBCL发生发展的新型介质。

方法

应用GSE60数据集鉴定DLBCL中差异表达基因(DEG),并使用主成分分析图确定所纳入样本的质量。通过STRING工具分析蛋白质-蛋白质相互作用。将关键枢纽基因输入GEPIA数据库以确定它们在DLBCL中的表达。此外,在cBioportal中分析这些枢纽基因的改变。使用UALCAN门户分析枢纽基因在DLBCL不同阶段的表达。利用表达数据对恶性肿瘤组织中的基质和免疫细胞进行评分,以评估基因表达与肿瘤纯度之间的相关性。在GEPIA中进行基因-基因相关性分析。在TIMER中进行基质评分分析,以确认基因表达与浸润性基质细胞之间的相关性。还使用MCP-Counter和肿瘤免疫功能障碍与排除这两种方法在TIMER中完成了所示基因与癌症相关成纤维细胞(CAF)浸润水平之间的相关性分析。在cBioportal中确认了纤连蛋白(FN1)蛋白水平与富含酸性和半胱氨酸的分泌蛋白(SPARC)信使核糖核酸表达之间的相关性。

结果

鉴定出DLBCL中排名前20的DEG,主成分分析图证实了显著DEG的质量。所有样本之间的成对相关系数分析表明这些DEG具有一定的共表达模式。将DEG输入STRING以鉴定枢纽基因,α-2-巨球蛋白()、组织蛋白酶B()、、基质金属肽酶9()和。证实这五个枢纽基因在DLBCL中过表达。cBioportal门户检测到这五个枢纽基因存在基因改变,包括信使核糖核酸高扩增和错义突变,、、、和的基因改变百分比分别为5%、8%、5%、2.7%和5%。此外,这五个枢纽基因与肿瘤分期呈潜在正相关。这五个基因与肿瘤纯度之间的相关性分析证实,这五个基因在DLBCL中过表达,并且与DLBCL的发生发展呈正相关。更有趣的是,这五个基因与基质浸润评分显著相关。这五个基因与CAF之间的相关性分析也显示出显著值,其中前两个基因和具有显著的共表达模式。

结论

鉴定出排名前的DEG,这五个枢纽基因在DLBCL中过表达。此外,证实了基因改变,并且与肿瘤纯度的正相关揭示了这五个基因的过表达以及与DLBCL发生发展的密切关联。更有趣的是,这五个基因与基质浸润呈正相关,尤其是在CAF中。前两个基因和显示出共表达模式,这表明它们作为DLBCL新型治疗靶点的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a6b/8223837/ae6face89343/WJCC-9-4585-g001.jpg

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