receptor for activated C kinase 1Genealiases: GNB2L1 · Gnb2-rs1 · H12.3 · HLC-7 · PIG21
Q-omics provides the consensus-scored RACK1 profile across patient tissues and cancer cell-line models. RACK1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RACK1 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, RACK1 protein abundance shows 29,552 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LIHC, KIRC, and GBM as cancer lineages where RACK1 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 RACK1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RACK1 survival associations across molecular data types. RACK1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RACK1 RNA expression–survival associations across cancer types. High RACK1 expression shows unfavorable associations in LIHC, ACC, KIRP, LUAD and SCLC, but favorable associations in KIRC. The LIHC 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 LIHC as the clearest survival context for RACK1 RNA expression.
This table summarizes RACK1 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 5. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for RACK1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RACK1 shows lower tumor expression in BRCA and higher tumor expression in KIRC, COAD, KIRP, LIHC and THCA. The KIRC box plot shows higher RACK1 RNA expression in tumor versus normal tissue (log2 FC = +1.402, t-test p < 0.001).
This table shows molecular features associated with RACK1 in patient tissues and cancer cell lines. In patient samples, RACK1 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, RACK1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BREAST and LUNG_SCLC.
