signal transducer and activator of transcription 4Genealiases: DPMC · SLEB11
Q-omics provides the consensus-scored STAT4 profile across patient tissues and cancer cell-line models. STAT4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, STAT4 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, STAT4 RNA expression shows 19,487 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, KIRC, and LSCC as cancer lineages where STAT4 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 STAT4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STAT4 survival associations across molecular data types. STAT4 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible STAT4 RNA expression–survival associations across cancer types. High STAT4 expression shows unfavorable associations in KIRP and LUSC, but favorable associations in SKCM, BRCA, OV and READ. 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 STAT4 RNA expression.
This table summarizes STAT4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for STAT4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STAT4 shows lower tumor expression in KICH and LUSC and higher tumor expression in KIRC, KIRP, HNSC and THCA. The KIRC box plot shows higher STAT4 RNA expression in tumor versus normal tissue (log2 FC = +1.323, t-test p < 0.001).
This table shows molecular features associated with STAT4 in patient tissues and cancer cell lines. In patient samples, STAT4 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, STAT4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and SKIN.
