Q-omics provides the consensus-scored NT5C1B-RDH14 profile across patient tissues and cancer cell-line models. NT5C1B-RDH14 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KIRC. Additionally, NT5C1B-RDH14 RNA expression shows 1,563 significant gene co-expression associations, with the highest sampling consensus in STAD. Together, these results highlight KIRC, and STAD as cancer lineages where NT5C1B-RDH14 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 NT5C1B-RDH14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NT5C1B-RDH14 survival associations across molecular data types. NT5C1B-RDH14 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NT5C1B-RDH14 RNA expression–survival associations across cancer types. High NT5C1B-RDH14 expression shows unfavorable associations in KIRC, UCS, THYM, COAD, STAD and BLCA. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify KIRC as the clearest survival context for NT5C1B-RDH14 RNA expression.
This table shows molecular features associated with NT5C1B-RDH14 in patient tissues and cancer cell lines. In patient samples, NT5C1B-RDH14 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, NT5C1B-RDH14 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in LIVER and UPPER_AERODIGESTIVE_TRACT.
