ring finger protein 138Genealiases: HSD-4 · NARF · STRIN · hNARF
Q-omics provides the consensus-scored RNF138 profile across patient tissues and cancer cell-line models. RNF138 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RNF138 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, RNF138 protein abundance shows 24,181 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, COAD, and LSCC as cancer lineages where RNF138 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 RNF138 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNF138 survival associations across molecular data types. RNF138 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNF138 RNA expression–survival associations across cancer types. High RNF138 expression shows unfavorable associations in ACC and MESO, but favorable associations in BRCA, COAD, OV and KIRC. The ACC 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 ACC as the clearest survival context for RNF138 RNA expression.
This table summarizes RNF138 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 6. The strongest signals are observed in COAD for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for RNF138. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNF138 shows lower tumor expression in COAD, THCA, KICH and READ and higher tumor expression in STAD and CHOL. The COAD box plot shows higher RNF138 RNA expression in normal versus tumor tissue (log2 FC = −0.900, t-test p < 0.001).
This table shows molecular features associated with RNF138 in patient tissues and cancer cell lines. In patient samples, RNF138 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, RNF138 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
