RNA polymerase I and III subunit CGenealiases: AC40 · HLD11 · RPA39 · RPA40 · RPA5 · RPAC1
Q-omics provides the consensus-scored POLR1C profile across patient tissues and cancer cell-line models. POLR1C expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, POLR1C is differentially expressed in 17, with the highest sampling consensus in COAD. Additionally, POLR1C protein abundance shows 26,392 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KICH, COAD, and LSCC as cancer lineages where POLR1C 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 POLR1C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POLR1C survival associations across molecular data types. POLR1C RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POLR1C RNA expression–survival associations across cancer types. High POLR1C expression shows unfavorable associations in KICH, ACC, LIHC, KIRC, UVM and SARC. The KICH 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 KICH as the clearest survival context for POLR1C RNA expression.
This table summarizes POLR1C tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for POLR1C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POLR1C shows lower tumor expression in KICH and higher tumor expression in COAD, KIRC, STAD, LIHC and LUAD. The COAD box plot shows higher POLR1C RNA expression in tumor versus normal tissue (log2 FC = +1.620, t-test p < 0.001).
This table shows molecular features associated with POLR1C in patient tissues and cancer cell lines. In patient samples, POLR1C 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, POLR1C RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Lymphoma.
