Q-omics provides the consensus-scored MRPS34 profile across patient tissues and cancer cell-line models. MRPS34 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MRPS34 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, MRPS34 protein abundance shows 30,551 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, HNSC, and LSCC as cancer lineages where MRPS34 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 MRPS34 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MRPS34 survival associations across molecular data types. MRPS34 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (1) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MRPS34 RNA expression–survival associations across cancer types. High MRPS34 expression shows unfavorable associations in UVM, UCS, LUAD, ACC and LIHC, but favorable associations in STAD. The UVM 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 UVM as the clearest survival context for MRPS34 RNA expression.
This table summarizes MRPS34 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 11. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for MRPS34. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRPS34 shows higher tumor expression in HNSC, KIRC, COAD, KIRP, BLCA and LIHC. The HNSC box plot shows higher MRPS34 RNA expression in tumor versus normal tissue (log2 FC = +0.756, t-test p < 0.001).
This table shows molecular features associated with MRPS34 in patient tissues and cancer cell lines. In patient samples, MRPS34 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, MRPS34 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
