pleckstrin homology like domain family B member 1Genealiases: LL5A · LL5alpha · OI23
Q-omics provides the consensus-scored PHLDB1 profile across patient tissues and cancer cell-line models. PHLDB1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PHLDB1 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, PHLDB1 protein abundance shows 38,289 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, HNSC, and LUAD as cancer lineages where PHLDB1 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 PHLDB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PHLDB1 survival associations across molecular data types. PHLDB1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PHLDB1 RNA expression–survival associations across cancer types. High PHLDB1 expression shows unfavorable associations in ACC, MESO, KICH, LUSC and LGG, but favorable associations in UCS. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for PHLDB1 RNA expression.
This table summarizes PHLDB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PHLDB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PHLDB1 shows lower tumor expression in KICH, LUSC, BLCA and BRCA and higher tumor expression in HNSC and LIHC. The HNSC box plot shows higher PHLDB1 RNA expression in tumor versus normal tissue (log2 FC = +1.984, t-test p < 0.001).
This table shows molecular features associated with PHLDB1 in patient tissues and cancer cell lines. In patient samples, PHLDB1 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, PHLDB1 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 LIVER and CNS.
