Q-omics provides the consensus-scored RTN4 profile across patient tissues and cancer cell-line models. RTN4 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RTN4 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, RTN4 protein abundance shows 27,461 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, and GBM as cancer lineages where RTN4 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 RTN4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RTN4 survival associations across molecular data types. RTN4 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (6) and 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 RTN4 RNA expression–survival associations across cancer types. High RTN4 expression shows unfavorable associations in HNSC, MESO, UVM, KIRP, CESC and BLCA. The HNSC 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 HNSC as the clearest survival context for RTN4 RNA expression.
This table summarizes RTN4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RTN4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RTN4 shows lower tumor expression in KICH, UCEC, BLCA, BRCA and KIRC and higher tumor expression in HNSC. The HNSC box plot shows higher RTN4 RNA expression in tumor versus normal tissue (log2 FC = +0.728, t-test p < 0.001).
This table shows molecular features associated with RTN4 in patient tissues and cancer cell lines. In patient samples, RTN4 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, RTN4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BONE.
