Q-omics provides the consensus-scored SP7 profile across patient tissues and cancer cell-line models. SP7 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SP7 is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, SP7 RNA expression shows 8,906 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where SP7 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 SP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SP7 survival associations across molecular data types. SP7 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SP7 RNA expression–survival associations across cancer types. High SP7 expression shows unfavorable associations in ACC, KIRC and KICH, but favorable associations in UVM, LGG and UCEC. The ACC 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 ACC as the clearest survival context for SP7 RNA expression.
This table summarizes SP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SP7 shows lower tumor expression in KICH and higher tumor expression in HNSC, LUSC, LIHC, CHOL and KIRC. The HNSC box plot shows higher SP7 RNA expression in tumor versus normal tissue (log2 FC = +0.059, t-test p = .026).
This table shows molecular features associated with SP7 in patient tissues and cancer cell lines. In patient samples, SP7 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, SP7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and SOFT_TISSUE.
