Q-omics provides the consensus-scored DHPS profile across patient tissues and cancer cell-line models. DHPS expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, DHPS is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, DHPS protein abundance shows 21,221 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight KICH, KIRC, and UCEC as cancer lineages where DHPS 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 DHPS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DHPS survival associations across molecular data types. DHPS RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) 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 DHPS RNA expression–survival associations across cancer types. High DHPS expression shows unfavorable associations in KICH, ACC, UVM and LUAD, but favorable associations in UCEC and CHOL. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for DHPS RNA expression.
This table summarizes DHPS 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 7. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for DHPS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DHPS shows higher tumor expression in KIRC, COAD, HNSC, LIHC, BRCA and CHOL. The KIRC box plot shows higher DHPS RNA expression in tumor versus normal tissue (log2 FC = +0.565, t-test p < 0.001).
This table shows molecular features associated with DHPS in patient tissues and cancer cell lines. In patient samples, DHPS shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, DHPS RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LARGE_INTESTINE.
