signal transducer and activator of transcription 3Genealiases: ADMIO · ADMIO1 · APRF · HIES
Q-omics provides the consensus-scored STAT3 profile across patient tissues and cancer cell-line models. STAT3 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, STAT3 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, STAT3 RNA expression shows 19,735 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight SKCM, KICH, and KIRP as cancer lineages where STAT3 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 STAT3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STAT3 survival associations across molecular data types. STAT3 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible STAT3 RNA expression–survival associations across cancer types. High STAT3 expression shows unfavorable associations in LGG, KIRP and UVM, but favorable associations in SKCM, HNSC and ESCA. 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 STAT3 RNA expression.
This table summarizes STAT3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 5. The strongest signals are observed in KICH for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for STAT3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STAT3 shows lower tumor expression in KICH and LUSC and higher tumor expression in STAD, ESCA, HNSC and CHOL. The KICH box plot shows higher STAT3 RNA expression in normal versus tumor tissue (log2 FC = −2.108, t-test p < 0.001).
This table shows molecular features associated with STAT3 in patient tissues and cancer cell lines. In patient samples, STAT3 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, STAT3 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 LUNG_SCLC and UPPER_AERODIGESTIVE_TRACT.
