ubiquinol-cytochrome c reductase complex III subunit VIIGenealiases: MC3DN4 · QCR8 · QP-C · QPC · UQCR7
Q-omics provides the consensus-scored UQCRQ profile across patient tissues and cancer cell-line models. UQCRQ expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, UQCRQ is differentially expressed in 9, with the highest sampling consensus in LIHC. Additionally, UQCRQ protein abundance shows 23,349 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, LIHC, and GBM as cancer lineages where UQCRQ 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 UQCRQ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UQCRQ survival associations across molecular data types. UQCRQ RNA expression shows survival associations in the most cancer types (26), followed by mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UQCRQ RNA expression–survival associations across cancer types. High UQCRQ expression shows unfavorable associations in UVM, LUAD, UCS, KICH, SKCM and LGG. The UVM 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 UVM as the clearest survival context for UQCRQ RNA expression.
This table summarizes UQCRQ tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 5. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for UQCRQ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UQCRQ shows lower tumor expression in HNSC and higher tumor expression in LIHC, LUAD, UCEC, BRCA and KIRC. The LIHC box plot shows higher UQCRQ RNA expression in tumor versus normal tissue (log2 FC = +0.746, t-test p < 0.001).
This table shows molecular features associated with UQCRQ in patient tissues and cancer cell lines. In patient samples, UQCRQ 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, UQCRQ RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and UPPER_AERODIGESTIVE_TRACT.
