Q-omics provides the consensus-scored KRTAP6-3 profile across patient tissues and cancer cell-line models. KRTAP6-3 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in KIRC. Additionally, KRTAP6-3 RNA expression shows 10,925 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, and TGCT as cancer lineages where KRTAP6-3 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 KRTAP6-3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KRTAP6-3 survival associations across molecular data types. KRTAP6-3 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KRTAP6-3 RNA expression–survival associations across cancer types. High KRTAP6-3 expression shows unfavorable associations in KIRC, UCS, SCLC, THCA, SKCM and HNSC. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .018). Together, the overview and detailed table identify KIRC as the clearest survival context for KRTAP6-3 RNA expression.
This table shows molecular features associated with KRTAP6-3 in patient tissues and cancer cell lines. In patient samples, KRTAP6-3 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, KRTAP6-3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
