kelch like family member 24Genealiases: CMH29 · DRE1 · EBS6 · EBSSH · KRIP6
Q-omics provides the consensus-scored KLHL24 profile across patient tissues and cancer cell-line models. KLHL24 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, KLHL24 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, KLHL24 RNA expression shows 20,798 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, HNSC, and THYM as cancer lineages where KLHL24 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 KLHL24 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLHL24 survival associations across molecular data types. KLHL24 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) 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 KLHL24 RNA expression–survival associations across cancer types. High KLHL24 expression shows unfavorable associations in STAD, UCEC and ESCA, but favorable associations in KIRC, ACC and LUAD. 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 KLHL24 RNA expression.
This table summarizes KLHL24 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for KLHL24. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLHL24 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRP, CHOL, LUSC and BLCA. The HNSC box plot shows higher KLHL24 RNA expression in tumor versus normal tissue (log2 FC = +0.938, t-test p = .003).
This table shows molecular features associated with KLHL24 in patient tissues and cancer cell lines. In patient samples, KLHL24 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, KLHL24 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.