2023
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Nucleotide‐Binding Oligomerization Domain (NOD)-Like Receptor Subfamily C (NLRC) as a Prognostic Biomarker for Glioblastoma Multiforme Linked to Tumor Microenvironment: A Bioinformatics, Immunohistochemistry, and Machine Learning-Based Study
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Cited by 9 publications
(6 citation statements)
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Abstract
Smart CitationsHow this paper cites the one you are viewing
“…Our TCGA analysis and immunohistochemical validation demonstrate a significant NOD2 upregulation in GBM specimens, suggesting that NOD2 contributes to the GBM pathogenesis beyond its conventional immune functions. This finding aligns with recent reports indicating that an aberrant NOD1/2 and NLRC4 expression correlates with poor survival in GBM patients [ 21 , 22 ].…”
Section: Discussion
supporting
confidence: 93%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…Our TCGA analysis and immunohistochemical validation demonstrate a significant NOD2 upregulation in GBM specimens, suggesting that NOD2 contributes to the GBM pathogenesis beyond its conventional immune functions. This finding aligns with recent reports indicating that an aberrant NOD1/2 and NLRC4 expression correlates with poor survival in GBM patients [ 21 , 22 ].…”
Section: Discussion
supporting
confidence: 93%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…These data suggest the role of DKK3 in promoting tumor growth due to its loss of function as a tumor suppression gene [ 51 ]. Han and coworkers [ 23 ] searched for genes that can interfere with the WNT pathway, including DKK3. Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression.…”
Section: Discussion
mentioning
confidence: 99%
“…Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression. The data showed that high DKK3 expression was negatively correlated with increased antitumor immunity, especially CD8 + and CD4 + T cells, in patients with GB [ 23 ].…”
Section: Discussion
mentioning
confidence: 99%
“…Of note, the TEX-C1 subtype presented higher infiltration levels of immune cells, an expressed higher levels of immune checkpoint molecules and a significantly worse prognosis [ 26 ]. Recently, it was shown that increased expression of nucleotide-binding oligomerization domain (NOD) 1/2 at NLRC4 was associated with worse survival in GB patients [ 23 ]. These biomarkers are members of the NOD-like receptor subfamily C, whose components participate in the regulation of the innate immune response.…”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The majority of them seems to be associated with normal functioning of immune cells, e.g., T-cell receptor components (CD4 and CD3E), major histocompatibility complex of class I and II (e HLA-A, HLA-DMA, HLA-DOA, HLA-DQB1, HLA-E, HLA-F), various cytokines and their receptors, whereas some of them are clearly associated with immune suppression, e.g., interleukin 10 receptor (IL10RA), and receptor for interleukins 4 and 13 [75] , [76] . Several recent studies showed that the high expression of various gene encoding immune-related MRs that are known to be important components of anti-tumor immune response, e.g., interferon gamma receptor (IFNGR2) [77] , [78] , [79] , and pattern recognition receptors NOD1 and NOD2 [80] , was associated with GBM progression and lower survival. These findings can be explained by the fact that these molecules are expressed on various immune and non-immune cells in the GBM core and peritumoral microenvironment, which, in turn, form a complex cell-cell interaction network.…”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…Our TCGA analysis and immunohistochemical validation demonstrate a significant NOD2 upregulation in GBM specimens, suggesting that NOD2 contributes to the GBM pathogenesis beyond its conventional immune functions. This finding aligns with recent reports indicating that an aberrant NOD1/2 and NLRC4 expression correlates with poor survival in GBM patients [ 21 , 22 ].…”
Section: Discussion
supporting
confidence: 93%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…These data suggest the role of DKK3 in promoting tumor growth due to its loss of function as a tumor suppression gene [ 51 ]. Han and coworkers [ 23 ] searched for genes that can interfere with the WNT pathway, including DKK3. Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression.…”
Section: Discussion
mentioning
confidence: 99%
“…Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression. The data showed that high DKK3 expression was negatively correlated with increased antitumor immunity, especially CD8 + and CD4 + T cells, in patients with GB [ 23 ].…”
Section: Discussion
mentioning
confidence: 99%
“…Of note, the TEX-C1 subtype presented higher infiltration levels of immune cells, an expressed higher levels of immune checkpoint molecules and a significantly worse prognosis [ 26 ]. Recently, it was shown that increased expression of nucleotide-binding oligomerization domain (NOD) 1/2 at NLRC4 was associated with worse survival in GB patients [ 23 ]. These biomarkers are members of the NOD-like receptor subfamily C, whose components participate in the regulation of the innate immune response.…”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The majority of them seems to be associated with normal functioning of immune cells, e.g., T-cell receptor components (CD4 and CD3E), major histocompatibility complex of class I and II (e HLA-A, HLA-DMA, HLA-DOA, HLA-DQB1, HLA-E, HLA-F), various cytokines and their receptors, whereas some of them are clearly associated with immune suppression, e.g., interleukin 10 receptor (IL10RA), and receptor for interleukins 4 and 13 [75] , [76] . Several recent studies showed that the high expression of various gene encoding immune-related MRs that are known to be important components of anti-tumor immune response, e.g., interferon gamma receptor (IFNGR2) [77] , [78] , [79] , and pattern recognition receptors NOD1 and NOD2 [80] , was associated with GBM progression and lower survival. These findings can be explained by the fact that these molecules are expressed on various immune and non-immune cells in the GBM core and peritumoral microenvironment, which, in turn, form a complex cell-cell interaction network.…”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…Our TCGA analysis and immunohistochemical validation demonstrate a significant NOD2 upregulation in GBM specimens, suggesting that NOD2 contributes to the GBM pathogenesis beyond its conventional immune functions. This finding aligns with recent reports indicating that an aberrant NOD1/2 and NLRC4 expression correlates with poor survival in GBM patients [ 21 , 22 ].…”
Section: Discussion
supporting
confidence: 93%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…These data suggest the role of DKK3 in promoting tumor growth due to its loss of function as a tumor suppression gene [ 51 ]. Han and coworkers [ 23 ] searched for genes that can interfere with the WNT pathway, including DKK3. Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression.…”
Section: Discussion
mentioning
confidence: 99%
“…Using the brain cancer gene database and an ML system, the authors performed a gene set enrichment analysis (GSEA), a network-based analysis, a survival analysis, and an in vitro drug screening assay based on DKK3 expression. The data showed that high DKK3 expression was negatively correlated with increased antitumor immunity, especially CD8 + and CD4 + T cells, in patients with GB [ 23 ].…”
Section: Discussion
mentioning
confidence: 99%
“…Of note, the TEX-C1 subtype presented higher infiltration levels of immune cells, an expressed higher levels of immune checkpoint molecules and a significantly worse prognosis [ 26 ]. Recently, it was shown that increased expression of nucleotide-binding oligomerization domain (NOD) 1/2 at NLRC4 was associated with worse survival in GB patients [ 23 ]. These biomarkers are members of the NOD-like receptor subfamily C, whose components participate in the regulation of the innate immune response.…”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The majority of them seems to be associated with normal functioning of immune cells, e.g., T-cell receptor components (CD4 and CD3E), major histocompatibility complex of class I and II (e HLA-A, HLA-DMA, HLA-DOA, HLA-DQB1, HLA-E, HLA-F), various cytokines and their receptors, whereas some of them are clearly associated with immune suppression, e.g., interleukin 10 receptor (IL10RA), and receptor for interleukins 4 and 13 [75] , [76] . Several recent studies showed that the high expression of various gene encoding immune-related MRs that are known to be important components of anti-tumor immune response, e.g., interferon gamma receptor (IFNGR2) [77] , [78] , [79] , and pattern recognition receptors NOD1 and NOD2 [80] , was associated with GBM progression and lower survival. These findings can be explained by the fact that these molecules are expressed on various immune and non-immune cells in the GBM core and peritumoral microenvironment, which, in turn, form a complex cell-cell interaction network.…”
Section: Discussion
mentioning
confidence: 99%