ring finger protein 170Genealiases: ADSA · SNAX1 · SPG85
Q-omics provides the consensus-scored RNF170 profile across patient tissues and cancer cell-line models. RNF170 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RNF170 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, RNF170 RNA expression shows 19,882 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where RNF170 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 RNF170 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNF170 survival associations across molecular data types. RNF170 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1) 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 RNF170 RNA expression–survival associations across cancer types. High RNF170 expression shows unfavorable associations in BLCA, UVM and STAD, but favorable associations in KIRC, LGG and BRCA. 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 RNF170 RNA expression.
This table summarizes RNF170 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RNF170. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNF170 shows lower tumor expression in THCA and KICH and higher tumor expression in COAD, STAD, CHOL and LIHC. The THCA box plot shows higher RNF170 RNA expression in normal versus tumor tissue (log2 FC = −0.794, t-test p < 0.001).
This table shows molecular features associated with RNF170 in patient tissues and cancer cell lines. In patient samples, RNF170 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, RNF170 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
