diaphanous related formin 2Genealiases: DIA · DIA2 · DRF2 · POF · POF2 · POF2A
Q-omics provides the consensus-scored DIAPH2 profile across patient tissues and cancer cell-line models. DIAPH2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, DIAPH2 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, DIAPH2 protein abundance shows 21,645 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, KIRC, and GBM as cancer lineages where DIAPH2 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 DIAPH2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DIAPH2 survival associations across molecular data types. DIAPH2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (8) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DIAPH2 RNA expression–survival associations across cancer types. High DIAPH2 expression shows unfavorable associations in KIRP, UVM, UCEC, PAAD and BLCA, but favorable associations in KIRC. The KIRP 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 KIRP as the clearest survival context for DIAPH2 RNA expression.
This table summarizes DIAPH2 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 KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for DIAPH2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DIAPH2 shows lower tumor expression in LUAD, UCEC, LUSC and BRCA and higher tumor expression in KIRC and KIRP. The KIRC box plot shows higher DIAPH2 RNA expression in tumor versus normal tissue (log2 FC = +1.290, t-test p < 0.001).
This table shows molecular features associated with DIAPH2 in patient tissues and cancer cell lines. In patient samples, DIAPH2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, DIAPH2 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 UPPER_AERODIGESTIVE_TRACT and BONE.
