Q-omics provides the consensus-scored SRSF3P4 profile across patient tissues and cancer cell-line models. SRSF3P4 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, SRSF3P4 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, SRSF3P4 RNA expression shows 6,875 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight THCA, KIRC, and ACC as cancer lineages where SRSF3P4 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 SRSF3P4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SRSF3P4 survival associations across molecular data types. SRSF3P4 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SRSF3P4 RNA expression–survival associations across cancer types. High SRSF3P4 expression shows unfavorable associations in THCA, ACC, CHOL, PAAD and BLCA, but favorable associations in READ. The THCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify THCA as the clearest survival context for SRSF3P4 RNA expression.
This table summarizes SRSF3P4 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SRSF3P4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SRSF3P4 shows lower tumor expression in KIRC, KICH, THCA, UCEC and KIRP and higher tumor expression in COAD. The KIRC box plot shows higher SRSF3P4 RNA expression in normal versus tumor tissue (log2 FC = −0.360, t-test p < 0.001).
This table shows molecular features associated with SRSF3P4 in patient tissues and cancer cell lines. In patient samples, SRSF3P4 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
