ribosomal protein L3Genealiases: ASC-1 · L3 · TARBP-B · uL3
Q-omics provides the consensus-scored RPL3 profile across patient tissues and cancer cell-line models. RPL3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPL3 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, RPL3 protein abundance shows 31,395 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, KIRC, and LUAD as cancer lineages where RPL3 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 RPL3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL3 survival associations across molecular data types. RPL3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL3 RNA expression–survival associations across cancer types. High RPL3 expression shows unfavorable associations in ACC, COAD and KIRP, but favorable associations in LGG, UVM and BRCA. 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 RPL3 RNA expression.
This table summarizes RPL3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RPL3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL3 shows lower tumor expression in BLCA and HNSC and higher tumor expression in KIRC, COAD, LIHC and CHOL. The KIRC box plot shows higher RPL3 RNA expression in tumor versus normal tissue (log2 FC = +0.680, t-test p < 0.001).
This table shows molecular features associated with RPL3 in patient tissues and cancer cell lines. In patient samples, RPL3 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, RPL3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and CNS.
