kelch like family member 40Genealiases: KBTBD5 · NEM8 · SRYP · SYRP
Q-omics provides the consensus-scored KLHL40 profile across patient tissues and cancer cell-line models. KLHL40 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, KLHL40 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, KLHL40 RNA expression shows 9,279 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight KICH, and HNSC as cancer lineages where KLHL40 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 KLHL40 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLHL40 survival associations across molecular data types. KLHL40 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KLHL40 RNA expression–survival associations across cancer types. High KLHL40 expression shows unfavorable associations in KICH, HNSC, SCLC, MESO and LIHC, but favorable associations in LUAD. The KICH 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 KICH as the clearest survival context for KLHL40 RNA expression.
This table summarizes KLHL40 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for KLHL40. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLHL40 shows lower tumor expression in HNSC, BLCA, UCEC, COAD and PRAD and higher tumor expression in LIHC. The HNSC box plot shows higher KLHL40 RNA expression in normal versus tumor tissue (log2 FC = −2.091, t-test p = .001).
This table shows molecular features associated with KLHL40 in patient tissues and cancer cell lines. In patient samples, KLHL40 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, KLHL40 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 UPPER_AERODIGESTIVE_TRACT and SOFT_TISSUE.
