signal transducer and activator of transcription 2Genealiases: IMD44 · ISGF-3 · P113 · PTORCH3 · STAT113
Q-omics provides the consensus-scored STAT2 profile across patient tissues and cancer cell-line models. STAT2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, STAT2 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, STAT2 RNA expression shows 20,263 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, HNSC, and KIRP as cancer lineages where STAT2 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 STAT2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STAT2 survival associations across molecular data types. STAT2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible STAT2 RNA expression–survival associations across cancer types. High STAT2 expression shows unfavorable associations in KIRC, LGG and ACC, but favorable associations in SCLC, BLCA and UCS. The KIRC 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 KIRC as the clearest survival context for STAT2 RNA expression.
This table summarizes STAT2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for STAT2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STAT2 shows higher tumor expression in HNSC, KIRC, BLCA, STAD, LIHC and KIRP. The HNSC box plot shows higher STAT2 RNA expression in tumor versus normal tissue (log2 FC = +1.753, t-test p < 0.001).
This table shows molecular features associated with STAT2 in patient tissues and cancer cell lines. In patient samples, STAT2 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, STAT2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LARGE_INTESTINE.
