X inactive specific transcriptGenealiases: DXS1089 · DXS399E · LINC00001 · NCRNA00001 · SXI1 · swd66
Q-omics provides the consensus-scored XIST profile across patient tissues and cancer cell-line models. XIST expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, XIST is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, XIST RNA expression shows 13,538 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRP, KICH, and TGCT as cancer lineages where XIST 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 XIST — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes XIST survival associations across molecular data types. XIST RNA expression shows survival associations in the most cancer types (20), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible XIST RNA expression–survival associations across cancer types. High XIST expression shows unfavorable associations in KIRP, KIRC, LUSC, MESO, LUAD and LGG. 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 XIST RNA expression.
This table summarizes XIST tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for XIST. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. XIST shows lower tumor expression in KICH and BRCA and higher tumor expression in READ, KIRC and LUAD. The KICH box plot shows higher XIST RNA expression in normal versus tumor tissue (log2 FC = −2.880, t-test p < 0.001).
This table shows molecular features associated with XIST in patient tissues and cancer cell lines. In patient samples, XIST shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
