Q-omics provides the consensus-scored SPDYE12P profile across patient tissues and cancer cell-line models. SPDYE12P 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, SPDYE12P is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, SPDYE12P RNA expression shows 17,856 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where SPDYE12P 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 SPDYE12P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPDYE12P survival associations across molecular data types. SPDYE12P RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPDYE12P RNA expression–survival associations across cancer types. High SPDYE12P expression shows unfavorable associations in ACC, MESO, COAD, LGG and GBM, but favorable associations in LAML. 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 SPDYE12P RNA expression.
This table summarizes SPDYE12P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for SPDYE12P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPDYE12P shows higher tumor expression in HNSC, LUAD, KIRP, BRCA, STAD and KIRC. The HNSC box plot shows higher SPDYE12P RNA expression in tumor versus normal tissue (log2 FC = +0.728, t-test p < 0.001).
This table shows molecular features associated with SPDYE12P in patient tissues and cancer cell lines. In patient samples, SPDYE12P shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
