Q-omics provides the consensus-scored SOCS5 profile across patient tissues and cancer cell-line models. SOCS5 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SOCS5 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, SOCS5 RNA expression shows 20,907 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where SOCS5 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 SOCS5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SOCS5 survival associations across molecular data types. SOCS5 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SOCS5 RNA expression–survival associations across cancer types. High SOCS5 expression shows unfavorable associations in CESC, LIHC and OV, but favorable associations in KIRC, THYM and LUAD. The KIRC 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 KIRC as the clearest survival context for SOCS5 RNA expression.
This table summarizes SOCS5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SOCS5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SOCS5 shows lower tumor expression in KICH, BRCA and THCA and higher tumor expression in HNSC, LIHC and CHOL. The HNSC box plot shows higher SOCS5 RNA expression in tumor versus normal tissue (log2 FC = +0.813, t-test p < 0.001).
This table shows molecular features associated with SOCS5 in patient tissues and cancer cell lines. In patient samples, SOCS5 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SOCS5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and UPPER_AERODIGESTIVE_TRACT.
