Q-omics provides the consensus-scored SEPTIN5 profile across patient tissues and cancer cell-line models. SEPTIN5 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SEPTIN5 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, SEPTIN5 RNA expression shows 19,616 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where SEPTIN5 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 SEPTIN5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEPTIN5 survival associations across molecular data types. SEPTIN5 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SEPTIN5 RNA expression–survival associations across cancer types. High SEPTIN5 expression shows unfavorable associations in ACC, UVM, STAD, LUSC, BLCA and SKCM. 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 SEPTIN5 RNA expression.
This table summarizes SEPTIN5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for SEPTIN5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEPTIN5 shows lower tumor expression in KICH and higher tumor expression in KIRC, LIHC, LUSC, CHOL and BLCA. The KIRC box plot shows higher SEPTIN5 RNA expression in tumor versus normal tissue (log2 FC = +1.536, t-test p < 0.001).
This table shows molecular features associated with SEPTIN5 in patient tissues and cancer cell lines. In patient samples, SEPTIN5 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, SEPTIN5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BONE.
