Q-omics provides the consensus-scored PPIAL4H profile across patient tissues and cancer cell-line models. PPIAL4H expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPIAL4H is differentially expressed in 5, with the highest sampling consensus in READ. Additionally, PPIAL4H RNA expression shows 6,598 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, READ, and LSCC as cancer lineages where PPIAL4H 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 PPIAL4H — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPIAL4H survival associations across molecular data types. PPIAL4H RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPIAL4H RNA expression–survival associations across cancer types. High PPIAL4H expression shows unfavorable associations in ACC, KIRC and DLBC, but favorable associations in ESCA, LAML and UCS. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify ACC as the clearest survival context for PPIAL4H RNA expression.
This table summarizes PPIAL4H 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 READ for RNA.
This table ranks reproducible tumor–normal expression differences for PPIAL4H. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPIAL4H shows lower tumor expression in UCEC and higher tumor expression in READ, STAD, BLCA and KIRC. The READ box plot shows higher PPIAL4H RNA expression in tumor versus normal tissue (log2 FC = +0.114, t-test p = .001).
This table shows molecular features associated with PPIAL4H in patient tissues and cancer cell lines. In patient samples, PPIAL4H 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, PPIAL4H RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS.
