ras homolog family member BGenealiases: ARH6 · ARHB · MST081 · MSTP081 · RHOH6
Q-omics provides the consensus-scored RHOB profile across patient tissues and cancer cell-line models. RHOB expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RHOB is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, RHOB protein abundance shows 26,096 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KICH, and GBM as cancer lineages where RHOB 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 RHOB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RHOB survival associations across molecular data types. RHOB 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 RHOB RNA expression–survival associations across cancer types. High RHOB expression shows unfavorable associations in UVM, ACC, HNSC and CESC, but favorable associations in KIRC and LIHC. The KIRC 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 KIRC as the clearest survival context for RHOB RNA expression.
This table summarizes RHOB 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 4. The strongest signals are observed in BLCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for RHOB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RHOB shows lower tumor expression in KICH, BLCA, THCA, LUSC, UCEC and LIHC. The KICH box plot shows higher RHOB RNA expression in normal versus tumor tissue (log2 FC = −3.607, t-test p < 0.001).
This table shows molecular features associated with RHOB in patient tissues and cancer cell lines. In patient samples, RHOB 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, RHOB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BREAST.
