Q-omics provides the consensus-scored KLHL1 profile across patient tissues and cancer cell-line models. KLHL1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, KLHL1 is differentially expressed in 8, with the highest sampling consensus in KIRP. Additionally, KLHL1 RNA expression shows 11,952 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KIRP, and GBM as cancer lineages where KLHL1 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 KLHL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLHL1 survival associations across molecular data types. KLHL1 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KLHL1 RNA expression–survival associations across cancer types. High KLHL1 expression shows unfavorable associations in UCEC, LUAD, SCLC, ACC, UVM and THCA. The UCEC 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 UCEC as the clearest survival context for KLHL1 RNA expression.
This table summarizes KLHL1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for KLHL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLHL1 shows lower tumor expression in KIRP, KIRC, KICH, COAD and STAD and higher tumor expression in BRCA. The KIRP box plot shows higher KLHL1 RNA expression in normal versus tumor tissue (log2 FC = −0.258, t-test p < 0.001).
This table shows molecular features associated with KLHL1 in patient tissues and cancer cell lines. In patient samples, KLHL1 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, KLHL1 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 CNS and LARGE_INTESTINE.
