Q-omics provides the consensus-scored RPS7 profile across patient tissues and cancer cell-line models. RPS7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, RPS7 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, RPS7 protein abundance shows 31,521 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, KIRC, and GBM as cancer lineages where RPS7 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 RPS7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS7 survival associations across molecular data types. RPS7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS7 RNA expression–survival associations across cancer types. High RPS7 expression shows unfavorable associations in KIRP, ACC, LIHC, KICH and ESCA, but favorable associations in LUAD. The KIRP 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 KIRP as the clearest survival context for RPS7 RNA expression.
This table summarizes RPS7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for RPS7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS7 shows higher tumor expression in KIRC, LIHC, HNSC, LUSC, COAD and KIRP. The KIRC box plot shows higher RPS7 RNA expression in tumor versus normal tissue (log2 FC = +0.913, t-test p < 0.001).
This table shows molecular features associated with RPS7 in patient tissues and cancer cell lines. In patient samples, RPS7 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, RPS7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and PANCREAS.
