Q-omics provides the consensus-scored SSBL3P1 profile across patient tissues and cancer cell-line models. SSBL3P1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SSBL3P1 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, SSBL3P1 RNA expression shows 18,642 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, THCA, and THYM as cancer lineages where SSBL3P1 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 SSBL3P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SSBL3P1 survival associations across molecular data types. SSBL3P1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SSBL3P1 RNA expression–survival associations across cancer types. High SSBL3P1 expression shows favorable associations in KIRC, HNSC, UCS, CESC, ACC and COAD. 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 SSBL3P1 RNA expression.
This table summarizes SSBL3P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for SSBL3P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SSBL3P1 shows lower tumor expression in THCA, KIRP, KICH and KIRC and higher tumor expression in HNSC and LUSC. The THCA box plot shows higher SSBL3P1 RNA expression in normal versus tumor tissue (log2 FC = −0.393, t-test p < 0.001).
This table shows molecular features associated with SSBL3P1 in patient tissues and cancer cell lines. In patient samples, SSBL3P1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
