Q-omics provides the consensus-scored PAFAH1B1P1 profile across patient tissues and cancer cell-line models. PAFAH1B1P1 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, PAFAH1B1P1 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, PAFAH1B1P1 RNA expression shows 8,753 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LUAD, KIRC, and GBM as cancer lineages where PAFAH1B1P1 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 PAFAH1B1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PAFAH1B1P1 survival associations across molecular data types. PAFAH1B1P1 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 PAFAH1B1P1 RNA expression–survival associations across cancer types. High PAFAH1B1P1 expression shows unfavorable associations in PCPG, THCA, CHOL and KICH, but favorable associations in LUAD and GBM. The LUAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .011). Together, the overview and detailed table identify LUAD as the clearest survival context for PAFAH1B1P1 RNA expression.
This table summarizes PAFAH1B1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PAFAH1B1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PAFAH1B1P1 shows higher tumor expression in KIRC, COAD, STAD, LUAD, HNSC and ESCA. The KIRC box plot shows higher PAFAH1B1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.049, t-test p = .001).
This table shows molecular features associated with PAFAH1B1P1 in patient tissues and cancer cell lines. In patient samples, PAFAH1B1P1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
