kelch like family member 7Genealiases: CISS3 · KLHL6 · PERCHING · SBBI26
Q-omics provides the consensus-scored KLHL7 profile across patient tissues and cancer cell-line models. KLHL7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, KLHL7 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, KLHL7 protein abundance shows 33,876 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight BLCA, HNSC, and LUAD as cancer lineages where KLHL7 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 KLHL7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLHL7 survival associations across molecular data types. KLHL7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (10) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KLHL7 RNA expression–survival associations across cancer types. High KLHL7 expression shows unfavorable associations in BLCA, MESO, SCLC, KICH and LIHC, but favorable associations in KIRC. The BLCA 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 BLCA as the clearest survival context for KLHL7 RNA expression.
This table summarizes KLHL7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for KLHL7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLHL7 shows higher tumor expression in HNSC, LUAD, LIHC, KIRP, BLCA and CHOL. The HNSC box plot shows higher KLHL7 RNA expression in tumor versus normal tissue (log2 FC = +0.837, t-test p < 0.001).
This table shows molecular features associated with KLHL7 in patient tissues and cancer cell lines. In patient samples, KLHL7 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, KLHL7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
