Q-omics provides the consensus-scored SPEM1 profile across patient tissues and cancer cell-line models. SPEM1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, SPEM1 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, SPEM1 RNA expression shows 10,831 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight KICH, HNSC, and LIHC as cancer lineages where SPEM1 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 SPEM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPEM1 survival associations across molecular data types. SPEM1 RNA expression shows survival associations in the most cancer types (14), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPEM1 RNA expression–survival associations across cancer types. High SPEM1 expression shows unfavorable associations in KICH, COAD, LIHC, CHOL, UVM and DLBC. The KICH 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 KICH as the clearest survival context for SPEM1 RNA expression.
This table summarizes SPEM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SPEM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPEM1 shows higher tumor expression in HNSC, BLCA, BRCA, LUSC, KIRC and UCEC. The HNSC box plot shows higher SPEM1 RNA expression in tumor versus normal tissue (log2 FC = +0.043, t-test p = .002).
This table shows molecular features associated with SPEM1 in patient tissues and cancer cell lines. In patient samples, SPEM1 shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set. In cancer cell lines, SPEM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in SKIN and SOFT_TISSUE.
