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 methylationbased 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.
语种:
外文
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2021]版:
大类|3 区生物学
小类|3 区生物工程与应用微生物4 区医学:研究与实验
最新[2025]版:
大类|4 区医学
小类|4 区生物工程与应用微生物4 区医学:研究与实验
JCR分区:
出版当年[2020]版:
Q2BIOTECHNOLOGY & APPLIED MICROBIOLOGYQ3MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q3BIOTECHNOLOGY & APPLIED MICROBIOLOGYQ3MEDICINE, RESEARCH & EXPERIMENTAL
第一作者单位:[1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Thorac Surg,1095 Jiefang Ave,Wuhan 430030,Peoples R China
通讯作者:
推荐引用方式(GB/T 7714):
Ping Wei,Hong Senyuan,Xun Yang,et al.Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer[J].BIOMED RESEARCH INTERNATIONAL.2022,2022:doi:10.1155/2022/4436646.
APA:
Ping, Wei,Hong, Senyuan,Xun, Yang&Li, Cong.(2022).Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer.BIOMED RESEARCH INTERNATIONAL,2022,
MLA:
Ping, Wei,et al."Comprehensive Bioinformatics Analysis of Toll-Like Receptors (TLRs) in Pan-Cancer".BIOMED RESEARCH INTERNATIONAL 2022.(2022)