Q-omics provides the consensus-scored RPS6KA2 profile across patient tissues and cancer cell-line models. RPS6KA2 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RPS6KA2 is differentially expressed in 12, with the highest sampling consensus in LUSC. Additionally, RPS6KA2 protein abundance shows 20,089 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, LUSC, and GBM as cancer lineages where RPS6KA2 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 RPS6KA2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS6KA2 survival associations across molecular data types. RPS6KA2 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS6KA2 RNA expression–survival associations across cancer types. High RPS6KA2 expression shows unfavorable associations in UVM, KICH, OV, BLCA and MESO, but favorable associations in KIRC. The KIRC 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 KIRC as the clearest survival context for RPS6KA2 RNA expression.
This table summarizes RPS6KA2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in LUSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for RPS6KA2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS6KA2 shows lower tumor expression in LUSC, BLCA, LUAD, KICH, UCEC and BRCA. The LUSC box plot shows higher RPS6KA2 RNA expression in normal versus tumor tissue (log2 FC = −2.928, t-test p < 0.001).
This table shows molecular features associated with RPS6KA2 in patient tissues and cancer cell lines. In patient samples, RPS6KA2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, RPS6KA2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in LIVER and SOFT_TISSUE.
