Q-omics provides the consensus-scored PDZD2 profile across patient tissues and cancer cell-line models. PDZD2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PDZD2 is differentially expressed in 12, with the highest sampling consensus in LUAD. Additionally, PDZD2 protein abundance shows 29,460 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, LUAD, and LSCC as cancer lineages where PDZD2 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 PDZD2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PDZD2 survival associations across molecular data types. PDZD2 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5) 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 PDZD2 RNA expression–survival associations across cancer types. High PDZD2 expression shows unfavorable associations in KIRP, BRCA and PCPG, but favorable associations in KIRC, UCEC and HNSC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for PDZD2 RNA expression.
This table summarizes PDZD2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 8. The strongest signals are observed in LUAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PDZD2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PDZD2 shows lower tumor expression in LUAD, KIRP, LUSC, KICH and BRCA and higher tumor expression in LIHC. The LUAD box plot shows higher PDZD2 RNA expression in normal versus tumor tissue (log2 FC = −2.601, t-test p < 0.001).
This table shows molecular features associated with PDZD2 in patient tissues and cancer cell lines. In patient samples, PDZD2 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, PDZD2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and SKIN.
