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Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer
BACKGROUND: To conduct a comprehensive bioinformatics analysis on the transcriptome signatures of Toll-like receptors (TLRs) in pan-cancer. Materials and methods. A total of 11,057 tissues consisting of 33 types of carcinoma in The Cancer Genome Atlas (TCGA) were retrieved, and then we further explo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352480/ https://www.ncbi.nlm.nih.gov/pubmed/35937402 http://dx.doi.org/10.1155/2022/4436646 |
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author | Ping, Wei Hong, Senyuan Xun, Yang Li, Cong |
author_facet | Ping, Wei Hong, Senyuan Xun, Yang Li, Cong |
author_sort | Ping, Wei |
collection | PubMed |
description | BACKGROUND: To conduct a comprehensive bioinformatics analysis on the transcriptome signatures of Toll-like receptors (TLRs) in pan-cancer. Materials and methods. A total of 11,057 tissues consisting of 33 types of carcinoma in The Cancer Genome Atlas (TCGA) were retrieved, and then we further explored the correlation between TLRs' expression with tumorigenesis, immune infiltration, and drug sensitivity. We conducted a comprehensive bioinformatics analysis on TLR1 to 10 in pan-cancer, including differential expression analysis between normal and tumor tissues, differential immune subtype correlation, survival analysis, tumor immune infiltration estimating, stemness indices correlation, and drug responses correlation. RESULTS: TLR2 was highly expressed in most types of tumors. TLR9 was hardly expressed compared to other TLR genes, which lead to TLR9 showing less correlation with both immune-estimate scores and stromal-estimate scores. All the TLRs were related with immune subtype of tumor samples that all of them were differentially expressed in differential immune subtype samples. The expression of TLRs was positively related with immune-estimate scores and stromal-estimate scores in almost all types of tumor. The expression of TLRs was negatively correlated with mRNA expression-based stemness scores (RNAss) in nearly almost type of tumors except kidney renal clear cell carcinoma (KIRC) and also negatively correlated with DNA methylation-based stemness scores (DNAss) in many types of tumors except adrenocortical carcinoma (ACC), cholangiocarcinoma (CHOL), KIRC, acute myeloid leukemia (LAML), low-grade glioma (LGG), testicular germ cell tumors (TGCT), thyroid carcinoma (THCA), thymoma (THYM), and uveal melanoma (UVM). The expression of TLR9 was significantly positively correlated with the drug sensitivity of fluphenazine, alectinib, carmustine, and 7−hydroxystaurosporine. TLR7 was significantly positively correlated with the drug sensitivity of alectinib. CONCLUSIONS: Our study reveals the significant role of TLRs family in pan-cancer and provides potential therapeutic strategies of cancer. |
format | Online Article Text |
id | pubmed-9352480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93524802022-08-05 Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer Ping, Wei Hong, Senyuan Xun, Yang Li, Cong Biomed Res Int Research Article BACKGROUND: To conduct a comprehensive bioinformatics analysis on the transcriptome signatures of Toll-like receptors (TLRs) in pan-cancer. Materials and methods. A total of 11,057 tissues consisting of 33 types of carcinoma in The Cancer Genome Atlas (TCGA) were retrieved, and then we further explored the correlation between TLRs' expression with tumorigenesis, immune infiltration, and drug sensitivity. We conducted a comprehensive bioinformatics analysis on TLR1 to 10 in pan-cancer, including differential expression analysis between normal and tumor tissues, differential immune subtype correlation, survival analysis, tumor immune infiltration estimating, stemness indices correlation, and drug responses correlation. RESULTS: TLR2 was highly expressed in most types of tumors. TLR9 was hardly expressed compared to other TLR genes, which lead to TLR9 showing less correlation with both immune-estimate scores and stromal-estimate scores. All the TLRs were related with immune subtype of tumor samples that all of them were differentially expressed in differential immune subtype samples. The expression of TLRs was positively related with immune-estimate scores and stromal-estimate scores in almost all types of tumor. The expression of TLRs was negatively correlated with mRNA expression-based stemness scores (RNAss) in nearly almost type of tumors except kidney renal clear cell carcinoma (KIRC) and also negatively correlated with DNA methylation-based stemness scores (DNAss) in many types of tumors except adrenocortical carcinoma (ACC), cholangiocarcinoma (CHOL), KIRC, acute myeloid leukemia (LAML), low-grade glioma (LGG), testicular germ cell tumors (TGCT), thyroid carcinoma (THCA), thymoma (THYM), and uveal melanoma (UVM). The expression of TLR9 was significantly positively correlated with the drug sensitivity of fluphenazine, alectinib, carmustine, and 7−hydroxystaurosporine. TLR7 was significantly positively correlated with the drug sensitivity of alectinib. CONCLUSIONS: Our study reveals the significant role of TLRs family in pan-cancer and provides potential therapeutic strategies of cancer. Hindawi 2022-07-28 /pmc/articles/PMC9352480/ /pubmed/35937402 http://dx.doi.org/10.1155/2022/4436646 Text en Copyright © 2022 Wei Ping et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ping, Wei Hong, Senyuan Xun, Yang Li, Cong Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title | Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title_full | Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title_fullStr | Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title_full_unstemmed | Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title_short | Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer |
title_sort | comprehensive bioinformatics analysis of toll-like receptors (tlrs) in pan-cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352480/ https://www.ncbi.nlm.nih.gov/pubmed/35937402 http://dx.doi.org/10.1155/2022/4436646 |
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