ring finger and CCCH-type domains 1Genealiases: FHL6 · IMDSHY · RNF198 · ROQUIN
Q-omics provides the consensus-scored RC3H1 profile across patient tissues and cancer cell-line models. RC3H1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RC3H1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, RC3H1 RNA expression shows 21,784 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, THCA, and KIRP as cancer lineages where RC3H1 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 RC3H1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RC3H1 survival associations across molecular data types. RC3H1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) 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 RC3H1 RNA expression–survival associations across cancer types. High RC3H1 expression shows unfavorable associations in UVM, ACC and KIRP, but favorable associations in HNSC, KIRC and GBM. The HNSC 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 HNSC as the clearest survival context for RC3H1 RNA expression.
This table summarizes RC3H1 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 6. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for RC3H1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RC3H1 shows lower tumor expression in THCA, KICH, LUAD and UCEC and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher RC3H1 RNA expression in normal versus tumor tissue (log2 FC = −0.924, t-test p < 0.001).
This table shows molecular features associated with RC3H1 in patient tissues and cancer cell lines. In patient samples, RC3H1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, RC3H1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
