Lymphoma and Sjögren Syndrome: A Common Overlapping Syndrome?

Chen, Yu-Wen; Tsai, Po‐Yu; Wei, James Cheng‐Chung

doi:10.3899/jrheum.201537

Cited by 1 publication

(1 citation statement)

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“…We also reviewed the literature in the past years and found that pSS was a high-risk factor for lymphoma, which has been confirmed in multi-center studies. [14][15][16] Therefore, we try to study from the perspective of DEGs and immune infiltration score as well as prediction models. This is a new understanding of DEGs and immune infiltration, and may also help identify potential biomarkers for prediction and diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis

Zhang,

Ji,

Bao

et al. 2023

Medicine

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Primary Sjögren’s syndrome (pSS) is known as autoimmune disease characterized by damage to endocrine glands, such as the salivary and lacrimal glands. This study aimed to identify potential biomarkers for pSS using integrated bioinformatics analysis and explore the relationship between differentially expressed genes (DEGs) and immune infiltration. Three pSS datasets (GSE7451, GSE23117, and GSE40611) from the gene expression omnibus database were integrated. All the datasets were processed in R (version 4.0.3). A total of 16 immune cells and 13 immune functions were obtained. The top immune cell and immune function were “activated” dendritic cells and major histocompatibility complex class I. Correlation analysis showed the top correlation among 16 immune cells were B cells and tumor infiltrating lymphocytes, check-point and T cell co-stimulation, respectively. In comparisons of immune score, “activated” dendritic cells (.657 vs 594, P < .001), B cells (.492 vs 434, P = .004), macrophages (.631 vs 601, P = .010), inflammation-promoting (.545 vs 478, P < .001), Type I interferon Reponse (.728 vs 625, P < .001) and so on were higher in pSS than control group. In correlation analysis, the up-regulation of interferon induced protein with tetratricopeptide repeats 1 gene was strongly correlated with Type I interferon response with a correlation coefficient of .87. The receiver operating characteristic curve of 5 genes showed that the area under curve was.891. In the verification model, the area under curve was.881. In addition, disease ontology analysis supported the association between DEGs and pSS. In summary, pSS has a variety of DEGs in immune infiltration, which is worthy of the attention from clinicians.

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Section: Introductionmentioning

confidence: 99%