Q-omics provides the consensus-scored RBM14 profile across patient tissues and cancer cell-line models. RBM14 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RBM14 is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, RBM14 protein abundance shows 31,862 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, COAD, and LSCC as cancer lineages where RBM14 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 RBM14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RBM14 survival associations across molecular data types. RBM14 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RBM14 RNA expression–survival associations across cancer types. High RBM14 expression shows unfavorable associations in ACC, LIHC and MESO, but favorable associations in SCLC, PAAD and THYM. 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 RBM14 RNA expression.
This table summarizes RBM14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for RBM14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RBM14 shows lower tumor expression in THCA and higher tumor expression in COAD, STAD, LIHC, HNSC and LUSC. The COAD box plot shows higher RBM14 RNA expression in tumor versus normal tissue (log2 FC = +0.700, t-test p < 0.001).
This table shows molecular features associated with RBM14 in patient tissues and cancer cell lines. In patient samples, RBM14 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, RBM14 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 LARGE_INTESTINE and BLOOD_Leukemia.
