PHD finger protein 10Genealiases: BAF45A · SMARCG4 · XAP135
Q-omics provides the consensus-scored PHF10 profile across patient tissues and cancer cell-line models. PHF10 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, PHF10 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, PHF10 protein abundance shows 23,652 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, KICH, and LSCC as cancer lineages where PHF10 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 PHF10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PHF10 survival associations across molecular data types. PHF10 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PHF10 RNA expression–survival associations across cancer types. High PHF10 expression shows unfavorable associations in LIHC, MESO, KIRP, CESC and ACC, but favorable associations in READ. The LIHC 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 LIHC as the clearest survival context for PHF10 RNA expression.
This table summarizes PHF10 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 7. The strongest signals are observed in KICH for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for PHF10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PHF10 shows lower tumor expression in KICH, BRCA, LUAD, THCA and BLCA and higher tumor expression in CHOL. The KICH box plot shows higher PHF10 RNA expression in normal versus tumor tissue (log2 FC = −1.530, t-test p < 0.001).
This table shows molecular features associated with PHF10 in patient tissues and cancer cell lines. In patient samples, PHF10 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, PHF10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
