Q-omics provides the consensus-scored SPDYE10P profile across patient tissues and cancer cell-line models. SPDYE10P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, SPDYE10P is differentially expressed in 3, with the highest sampling consensus in LUSC. Additionally, SPDYE10P RNA expression shows 9,377 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight CESC, LUSC, and LAML as cancer lineages where SPDYE10P 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 SPDYE10P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPDYE10P survival associations across molecular data types. SPDYE10P RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPDYE10P RNA expression–survival associations across cancer types. High SPDYE10P expression shows unfavorable associations in CESC, CHOL, READ and KIRC, but favorable associations in ESCA and STAD. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .033). Together, the overview and detailed table identify CESC as the clearest survival context for SPDYE10P RNA expression.
This table summarizes SPDYE10P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for SPDYE10P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPDYE10P shows higher tumor expression in LUSC, COAD and KIRC. The LUSC box plot shows higher SPDYE10P RNA expression in tumor versus normal tissue (log2 FC = +0.015, t-test p = .002).
This table shows molecular features associated with SPDYE10P in patient tissues and cancer cell lines. In patient samples, SPDYE10P shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
