Figures & data
Figure 1. The relationship between AHR and its associations and gene set enrichment analysis in cervical cancer based on the LinkedOmics database. Map of AHR-related genes(a). Heat map of the top 50 genes positively (b) and negatively (c) correlated with AHR. Gene set enrichment analysis of AHR (d)
![Figure 1. The relationship between AHR and its associations and gene set enrichment analysis in cervical cancer based on the LinkedOmics database. Map of AHR-related genes(a). Heat map of the top 50 genes positively (b) and negatively (c) correlated with AHR. Gene set enrichment analysis of AHR (d)](/cms/asset/f7d5826b-1567-4764-9fd8-042bc5baf6bc/kbie_a_2006953_f0001_oc.jpg)
Figure 3. Expression of AHR in GEO cervical cancer datasets. Expression of AHR in GSE7410(a), GSE67522(b)and GSE6791(c)
![Figure 3. Expression of AHR in GEO cervical cancer datasets. Expression of AHR in GSE7410(a), GSE67522(b)and GSE6791(c)](/cms/asset/2e7cd2a1-13cb-407a-9a6f-2aed5764290d/kbie_a_2006953_f0003_oc.jpg)
Table 1. The interaction scores of AHR with its related proteins
Table 2. The expression of AHR and related genes in GEO data sets
Figure 4. The expression of AHR and related genes was correlated with immune infiltration level in cervical cancer based on TIMER database. AHR(a), CYP1A1(b), ARNT2(c), HSP90AA1(d), ARNT(e), AIP(f), PTGES3(g), HSP90AB1(h), CYP1B1(i), ESR1(j)and MAF(k) with cervical cancer associated tumor sample purity, B cells, CD8 + T cells, CD4 + T cells, macrophages, neutrophils, and dendritic cells
![Figure 4. The expression of AHR and related genes was correlated with immune infiltration level in cervical cancer based on TIMER database. AHR(a), CYP1A1(b), ARNT2(c), HSP90AA1(d), ARNT(e), AIP(f), PTGES3(g), HSP90AB1(h), CYP1B1(i), ESR1(j)and MAF(k) with cervical cancer associated tumor sample purity, B cells, CD8 + T cells, CD4 + T cells, macrophages, neutrophils, and dendritic cells](/cms/asset/9f58b6cd-fcf2-4353-865e-66bd25285152/kbie_a_2006953_f0004_oc.jpg)
Figure 5. Correlations between AHR and related genes and immuno regulators in cervical cancer based on TISIDB database. The correlations between the expression of AHR, CYP1A1, HSP90AA1, PTGES3, CYP1B1, ESR1, and MAF and immunoinhibitors (a), immunostimulator (b), and MHC molecules (c) were calculated based on TISIDB database
![Figure 5. Correlations between AHR and related genes and immuno regulators in cervical cancer based on TISIDB database. The correlations between the expression of AHR, CYP1A1, HSP90AA1, PTGES3, CYP1B1, ESR1, and MAF and immunoinhibitors (a), immunostimulator (b), and MHC molecules (c) were calculated based on TISIDB database](/cms/asset/3736b4da-349a-4aac-a9c4-2dc52d15f82d/kbie_a_2006953_f0005_oc.jpg)
Table 3. Multivariate Cox regression analysis
Figure 6. Alterations of AHR(a), CYP1A1(b), ARNT2(c), HSP90AA1(d), ARNT(e), AIP(f), PTGES3(g), HSP90AB1(h), CYP1B1(i), ESR1(j), MAF(k) were correlated with prognosis in cervical cancer patients based on the Kaplan-Meier database
![Figure 6. Alterations of AHR(a), CYP1A1(b), ARNT2(c), HSP90AA1(d), ARNT(e), AIP(f), PTGES3(g), HSP90AB1(h), CYP1B1(i), ESR1(j), MAF(k) were correlated with prognosis in cervical cancer patients based on the Kaplan-Meier database](/cms/asset/da8b0663-3766-46df-adec-45339d208f87/kbie_a_2006953_f0006_oc.jpg)
Table 4. The positive expression of AHR and CYP1A1 in cervical tissue