pleckstrin and Sec7 domain containing 4Genealiases: EFA6B · TIC
Q-omics provides the consensus-scored PSD4 profile across patient tissues and cancer cell-line models. PSD4 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, PSD4 is differentially expressed in 9, with the highest sampling consensus in STAD. Additionally, PSD4 protein abundance shows 42,009 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KICH, STAD, and LSCC as cancer lineages where PSD4 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 PSD4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSD4 survival associations across molecular data types. PSD4 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (8) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSD4 RNA expression–survival associations across cancer types. High PSD4 expression shows unfavorable associations in KICH and LGG, but favorable associations in SKCM, HNSC, BLCA and STAD. 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 PSD4 RNA expression.
This table summarizes PSD4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 12. The strongest signals are observed in STAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PSD4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSD4 shows lower tumor expression in THCA and KICH and higher tumor expression in STAD, UCEC, BRCA and HNSC. The STAD box plot shows higher PSD4 RNA expression in tumor versus normal tissue (log2 FC = +1.505, t-test p < 0.001).
This table shows molecular features associated with PSD4 in patient tissues and cancer cell lines. In patient samples, PSD4 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, PSD4 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 BLOOD_Leukemia.
