Q-omics provides the consensus-scored PPIAL4F profile across patient tissues and cancer cell-line models. PPIAL4F expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, PPIAL4F is differentially expressed in 2, with the highest sampling consensus in HNSC. Additionally, PPIAL4F RNA expression shows 3,043 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight DLBC, HNSC, and TGCT as cancer lineages where PPIAL4F 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 PPIAL4F — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAL4F survival associations across molecular data types. PPIAL4F RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAL4F RNA expression–survival associations across cancer types. High PPIAL4F expression shows unfavorable associations in DLBC, LIHC, KICH and ACC, but favorable associations in SCLC and LUSC. The DLBC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify DLBC as the clearest survival context for PPIAL4F RNA expression.
This table summarizes PPIAL4F tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAL4F. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAL4F shows lower tumor expression in HNSC and higher tumor expression in KIRC. The HNSC box plot shows higher PPIAL4F RNA expression in normal versus tumor tissue (log2 FC = −0.026, t-test p = .010).
This table shows molecular features associated with PPIAL4F in patient tissues and cancer cell lines. In patient samples, PPIAL4F shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, PPIAL4F RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in STOMACH.
