Q-omics provides the consensus-scored SMPD4P1 profile across patient tissues and cancer cell-line models. SMPD4P1 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, SMPD4P1 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, SMPD4P1 RNA expression shows 12,284 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, HNSC, and THYM as cancer lineages where SMPD4P1 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 SMPD4P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMPD4P1 survival associations across molecular data types. SMPD4P1 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 SMPD4P1 RNA expression–survival associations across cancer types. High SMPD4P1 expression shows unfavorable associations in ACC, KIRC, LIHC, UCEC and LUAD, but favorable associations in ESCA. 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 SMPD4P1 RNA expression.
This table summarizes SMPD4P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SMPD4P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMPD4P1 shows lower tumor expression in LUAD and THCA and higher tumor expression in HNSC, LUSC and LIHC. The HNSC box plot shows higher SMPD4P1 RNA expression in tumor versus normal tissue (log2 FC = +0.809, t-test p < 0.001).
This table shows molecular features associated with SMPD4P1 in patient tissues and cancer cell lines. In patient samples, SMPD4P1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
