Q-omics provides the consensus-scored SP8 profile across patient tissues and cancer cell-line models. SP8 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, SP8 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, SP8 RNA expression shows 12,712 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, THCA, and THYM as cancer lineages where SP8 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 SP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SP8 survival associations across molecular data types. SP8 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SP8 RNA expression–survival associations across cancer types. High SP8 expression shows unfavorable associations in KIRC, ACC, BRCA, OV, KIRP and UVM. The KIRC 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 KIRC as the clearest survival context for SP8 RNA expression.
This table summarizes SP8 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for SP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SP8 shows higher tumor expression in THCA, LUAD, COAD, HNSC, STAD and LUSC. The THCA box plot shows higher SP8 RNA expression in tumor versus normal tissue (log2 FC = +0.019, t-test p = .002).
This table shows molecular features associated with SP8 in patient tissues and cancer cell lines. In patient samples, SP8 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, SP8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BONE and LUNG_SCLC.
