Q-omics provides the consensus-scored RPL17P26 profile across patient tissues and cancer cell-line models. RPL17P26 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPL17P26 is differentially expressed in 7, with the highest sampling consensus in BRCA. Additionally, RPL17P26 RNA expression shows 11,678 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, BRCA, and LSCC as cancer lineages where RPL17P26 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 RPL17P26 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL17P26 survival associations across molecular data types. RPL17P26 RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL17P26 RNA expression–survival associations across cancer types. High RPL17P26 expression shows unfavorable associations in ACC, KICH and KIRC, but favorable associations in THCA, LAML and LUSC. The ACC 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 ACC as the clearest survival context for RPL17P26 RNA expression.
This table summarizes RPL17P26 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPL17P26. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL17P26 shows lower tumor expression in BRCA and READ and higher tumor expression in COAD, CHOL, KIRC and KICH. The BRCA box plot shows higher RPL17P26 RNA expression in normal versus tumor tissue (log2 FC = −0.154, t-test p = .007).
This table shows molecular features associated with RPL17P26 in patient tissues and cancer cell lines. In patient samples, RPL17P26 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
