X-linked Kx blood group antigen, Kell and VPS13A binding proteinGenealiases: KX · NA · NAC · X1k · XKR1
Q-omics provides the consensus-scored XK profile across patient tissues and cancer cell-line models. XK expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, XK is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, XK RNA expression shows 17,315 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, KIRC, and UVM as cancer lineages where XK 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 XK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes XK survival associations across molecular data types. XK RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible XK RNA expression–survival associations across cancer types. High XK expression shows unfavorable associations in KIRP, MESO, UVM and ESCA, but favorable associations in ACC and LUSC. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRP as the clearest survival context for XK RNA expression.
This table summarizes XK tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for XK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. XK shows lower tumor expression in KIRC, COAD, THCA and READ and higher tumor expression in KIRP and PAAD. The KIRC box plot shows higher XK RNA expression in normal versus tumor tissue (log2 FC = −1.359, t-test p < 0.001).
This table shows molecular features associated with XK in patient tissues and cancer cell lines. In patient samples, XK shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, XK 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 OVARY and BLOOD_Leukemia.
