Q-omics provides the consensus-scored PHF12 profile across patient tissues and cancer cell-line models. PHF12 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PHF12 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, PHF12 RNA expression shows 20,761 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where PHF12 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 PHF12 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PHF12 survival associations across molecular data types. PHF12 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PHF12 RNA expression–survival associations across cancer types. High PHF12 expression shows unfavorable associations in ACC, LIHC and COAD, but favorable associations in HNSC, PAAD 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 < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for PHF12 RNA expression.
This table summarizes PHF12 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for PHF12. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PHF12 shows lower tumor expression in KICH and higher tumor expression in HNSC, LUAD, KIRP, LIHC and BRCA. The HNSC box plot shows higher PHF12 RNA expression in tumor versus normal tissue (log2 FC = +0.799, t-test p < 0.001).
This table shows molecular features associated with PHF12 in patient tissues and cancer cell lines. In patient samples, PHF12 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, PHF12 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
