ring finger protein 7Genealiases: CKBBP1 · ROC2 · SAG · rbx2
Q-omics provides the consensus-scored RNF7 profile across patient tissues and cancer cell-line models. RNF7 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, RNF7 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, RNF7 protein abundance shows 23,612 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight LIHC, KIRC, and PDAC as cancer lineages where RNF7 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 RNF7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNF7 survival associations across molecular data types. RNF7 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (2) 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 RNF7 RNA expression–survival associations across cancer types. High RNF7 expression shows unfavorable associations in LIHC, ACC, KICH, LGG, PAAD and SCLC. 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 RNF7 RNA expression.
This table summarizes RNF7 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 KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for RNF7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNF7 shows lower tumor expression in KICH and higher tumor expression in KIRC, HNSC, LIHC, BRCA and CHOL. The KIRC box plot shows higher RNF7 RNA expression in tumor versus normal tissue (log2 FC = +0.584, t-test p < 0.001).
This table shows molecular features associated with RNF7 in patient tissues and cancer cell lines. In patient samples, RNF7 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, RNF7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BONE.
