Q-omics provides the consensus-scored SURF4 profile across patient tissues and cancer cell-line models. SURF4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SURF4 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, SURF4 RNA expression shows 19,750 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where SURF4 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 SURF4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SURF4 survival associations across molecular data types. SURF4 RNA expression shows survival associations in the most cancer types (24), followed by mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SURF4 RNA expression–survival associations across cancer types. High SURF4 expression shows unfavorable associations in UVM, BLCA, HNSC, KIRP, ACC and CESC. The UVM 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 UVM as the clearest survival context for SURF4 RNA expression.
This table summarizes SURF4 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 6. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for SURF4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SURF4 shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, BLCA, LUAD and STAD. The HNSC box plot shows higher SURF4 RNA expression in tumor versus normal tissue (log2 FC = +0.953, t-test p < 0.001).
This table shows molecular features associated with SURF4 in patient tissues and cancer cell lines. In patient samples, SURF4 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, SURF4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
