Q-omics provides the consensus-scored RPL21P106 profile across patient tissues and cancer cell-line models. RPL21P106 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RPL21P106 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, RPL21P106 RNA expression shows 6,562 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight KIRC, THCA, and STAD as cancer lineages where RPL21P106 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 RPL21P106 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL21P106 survival associations across molecular data types. RPL21P106 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 RPL21P106 RNA expression–survival associations across cancer types. High RPL21P106 expression shows unfavorable associations in KIRC, ACC, UVM and THYM, but favorable associations in READ 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 < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for RPL21P106 RNA expression.
This table summarizes RPL21P106 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPL21P106. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL21P106 shows lower tumor expression in THCA, KICH, ESCA, READ and UCEC and higher tumor expression in COAD. The THCA box plot shows higher RPL21P106 RNA expression in normal versus tumor tissue (log2 FC = −0.069, t-test p = .003).
This table shows molecular features associated with RPL21P106 in patient tissues and cancer cell lines. In patient samples, RPL21P106 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.