Q-omics provides the consensus-scored PLAC4 profile across patient tissues and cancer cell-line models. PLAC4 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, PLAC4 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, PLAC4 RNA expression shows 16,847 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, COAD, and UVM as cancer lineages where PLAC4 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 PLAC4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PLAC4 survival associations across molecular data types. PLAC4 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 PLAC4 RNA expression–survival associations across cancer types. High PLAC4 expression shows unfavorable associations in ACC, COAD, UVM, KIRC and OV, but favorable associations in HNSC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify ACC as the clearest survival context for PLAC4 RNA expression.
This table summarizes PLAC4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PLAC4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PLAC4 shows lower tumor expression in KIRC, KIRP and HNSC and higher tumor expression in COAD, KICH and BRCA. The COAD box plot shows higher PLAC4 RNA expression in tumor versus normal tissue (log2 FC = +0.493, t-test p < 0.001).
This table shows molecular features associated with PLAC4 in patient tissues and cancer cell lines. In patient samples, PLAC4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, PLAC4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and NCI60_ALL.
