Q-omics provides the consensus-scored TRIM64 profile across patient tissues and cancer cell-line models. TRIM64 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in UCS. Additionally, TRIM64 RNA expression shows 3,646 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCS, and TGCT as cancer lineages where TRIM64 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 TRIM64 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRIM64 survival associations across molecular data types. TRIM64 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TRIM64 RNA expression–survival associations across cancer types. High TRIM64 expression shows unfavorable associations in UCS, CESC, UVM, STAD, SKCM and KIRC. The UCS Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify UCS as the clearest survival context for TRIM64 RNA expression.
This table shows molecular features associated with TRIM64 in patient tissues and cancer cell lines. In patient samples, TRIM64 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, TRIM64 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN.
