Q-omics provides the consensus-scored SSX4B profile across patient tissues and cancer cell-line models. SSX4B expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, SSX4B is differentially expressed in 1, with the highest sampling consensus in LIHC. Additionally, SSX4B RNA expression shows 2,728 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight THYM, LIHC, and STAD as cancer lineages where SSX4B 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 SSX4B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SSX4B survival associations across molecular data types. SSX4B RNA expression shows survival associations in the most cancer types (12), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SSX4B RNA expression–survival associations across cancer types. High SSX4B expression shows unfavorable associations in THYM, HNSC, KICH, UVM, KIRP and LUAD. The THYM 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 THYM as the clearest survival context for SSX4B RNA expression.
This table summarizes SSX4B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for SSX4B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SSX4B shows higher tumor expression in LIHC. The LIHC box plot shows higher SSX4B RNA expression in tumor versus normal tissue (log2 FC = +0.040, t-test p = .021).
This table shows molecular features associated with SSX4B in patient tissues and cancer cell lines. In patient samples, SSX4B shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, SSX4B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS.
