signal transducer and activator of transcription 1Genealiases: CANDF7 · IMD31A · IMD31B · IMD31C · ISGF-3 · STAT91
Q-omics provides the consensus-scored STAT1 profile across patient tissues and cancer cell-line models. STAT1 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, STAT1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, STAT1 protein abundance shows 29,203 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SKCM, HNSC, and GBM as cancer lineages where STAT1 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 STAT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STAT1 survival associations across molecular data types. STAT1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible STAT1 RNA expression–survival associations across cancer types. High STAT1 expression shows unfavorable associations in ACC, UVM, LGG and PAAD, but favorable associations in SKCM and SCLC. 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 STAT1 RNA expression.
This table summarizes STAT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 10. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for STAT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STAT1 shows lower tumor expression in KICH and higher tumor expression in HNSC, STAD, BRCA, KIRP and BLCA. The HNSC box plot shows higher STAT1 RNA expression in tumor versus normal tissue (log2 FC = +1.757, t-test p < 0.001).
This table shows molecular features associated with STAT1 in patient tissues and cancer cell lines. In patient samples, STAT1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, STAT1 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 CNS and BONE.
