Q-omics provides the consensus-scored RPL7P26 profile across patient tissues and cancer cell-line models. RPL7P26 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, RPL7P26 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, RPL7P26 RNA expression shows 15,287 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BRCA, LIHC, and ACC as cancer lineages where RPL7P26 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 RPL7P26 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL7P26 survival associations across molecular data types. RPL7P26 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL7P26 RNA expression–survival associations across cancer types. High RPL7P26 expression shows unfavorable associations in LUSC, UVM, OV and ACC, but favorable associations in BRCA and THYM. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BRCA as the clearest survival context for RPL7P26 RNA expression.
This table summarizes RPL7P26 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for RPL7P26. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL7P26 shows higher tumor expression in LIHC, LUAD, COAD, CHOL, BRCA and KIRC. The LIHC box plot shows higher RPL7P26 RNA expression in tumor versus normal tissue (log2 FC = +0.166, t-test p < 0.001).
This table shows molecular features associated with RPL7P26 in patient tissues and cancer cell lines. In patient samples, RPL7P26 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
