kelch like family member 15Genealiases: HEL-S-305 · XLID103
Q-omics provides the consensus-scored KLHL15 profile across patient tissues and cancer cell-line models. KLHL15 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, KLHL15 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, KLHL15 RNA expression shows 21,198 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, KIRC, and ACC as cancer lineages where KLHL15 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 KLHL15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLHL15 survival associations across molecular data types. KLHL15 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KLHL15 RNA expression–survival associations across cancer types. High KLHL15 expression shows unfavorable associations in KIRP and UVM, but favorable associations in KIRC, HNSC, LUSC and SCLC. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify KIRP as the clearest survival context for KLHL15 RNA expression.
This table summarizes KLHL15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for KLHL15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLHL15 shows lower tumor expression in KIRC, THCA, KIRP, BRCA, LIHC and KICH. The KIRC box plot shows higher KLHL15 RNA expression in normal versus tumor tissue (log2 FC = −0.747, t-test p < 0.001).
This table shows molecular features associated with KLHL15 in patient tissues and cancer cell lines. In patient samples, KLHL15 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, KLHL15 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 SOFT_TISSUE and LARGE_INTESTINE.
