Q-omics provides the consensus-scored SEBOX profile across patient tissues and cancer cell-line models. SEBOX expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in SCLC. Among the 18 cancer types available for tumor–normal comparison, SEBOX is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, SEBOX RNA expression shows 8,353 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight SCLC, KIRC, and DLBC as cancer lineages where SEBOX 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 SEBOX — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEBOX survival associations across molecular data types. SEBOX RNA expression shows survival associations in the most cancer types (15), 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 SEBOX RNA expression–survival associations across cancer types. High SEBOX expression shows unfavorable associations in COAD, LUSC, TGCT, UVM and PRAD, but favorable associations in SCLC. The SCLC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify SCLC as the clearest survival context for SEBOX RNA expression.
This table summarizes SEBOX 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SEBOX. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEBOX shows higher tumor expression in KIRC. The KIRC box plot shows higher SEBOX RNA expression in tumor versus normal tissue (log2 FC = +0.023, t-test p = .011).
This table shows molecular features associated with SEBOX in patient tissues and cancer cell lines. In patient samples, SEBOX shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set. In cancer cell lines, SEBOX RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BONE.
