Q-omics provides the consensus-scored CXCR3 profile across patient tissues and cancer cell-line models. CXCR3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, CXCR3 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, CXCR3 RNA expression shows 17,336 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, KIRC, and LSCC as cancer lineages where CXCR3 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for CXCR3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CXCR3 survival associations across molecular data types. CXCR3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CXCR3 RNA expression–survival associations across cancer types. High CXCR3 expression shows unfavorable associations in UVM and LGG, but favorable associations in SKCM, HNSC, UCEC and CESC. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for CXCR3 RNA expression.
This table summarizes CXCR3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for CXCR3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CXCR3 shows lower tumor expression in LUSC and higher tumor expression in KIRC, STAD, BRCA, LIHC and KIRP. The KIRC box plot shows higher CXCR3 RNA expression in tumor versus normal tissue (log2 FC = +2.215, t-test p < 0.001).
This table shows molecular features associated with CXCR3 in patient tissues and cancer cell lines. In patient samples, CXCR3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, CXCR3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Lymphoma.
