Q-omics provides the consensus-scored PIP4P1 profile across patient tissues and cancer cell-line models. PIP4P1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, PIP4P1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, PIP4P1 RNA expression shows 19,446 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, HNSC, and ACC as cancer lineages where PIP4P1 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 PIP4P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIP4P1 survival associations across molecular data types. PIP4P1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIP4P1 RNA expression–survival associations across cancer types. High PIP4P1 expression shows unfavorable associations in KICH, LIHC and ACC, but favorable associations in KIRC, SKCM and LGG. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for PIP4P1 RNA expression.
This table summarizes PIP4P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PIP4P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIP4P1 shows lower tumor expression in KIRC and higher tumor expression in HNSC, LIHC, BLCA, STAD and COAD. The HNSC box plot shows higher PIP4P1 RNA expression in tumor versus normal tissue (log2 FC = +0.720, t-test p < 0.001).
This table shows molecular features associated with PIP4P1 in patient tissues and cancer cell lines. In patient samples, PIP4P1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PIP4P1 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 BLOOD_Myeloma and UPPER_AERODIGESTIVE_TRACT.
