kinesin family member 1CGenealiases: LTXS1 · SATX2 · SAX2 · SPAX2 · SPG58
Q-omics provides the consensus-scored KIF1C profile across patient tissues and cancer cell-line models. KIF1C expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, KIF1C is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, KIF1C protein abundance shows 31,229 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, COAD, and LSCC as cancer lineages where KIF1C 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 KIF1C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KIF1C survival associations across molecular data types. KIF1C RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KIF1C RNA expression–survival associations across cancer types. High KIF1C expression shows unfavorable associations in KICH, BLCA and ACC, but favorable associations in KIRP, KIRC and UCEC. The KIRP 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 KIRP as the clearest survival context for KIF1C RNA expression.
This table summarizes KIF1C 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 11. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for KIF1C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KIF1C shows lower tumor expression in COAD, KIRC, LUAD, HNSC, KICH and LUSC. The COAD box plot shows higher KIF1C RNA expression in normal versus tumor tissue (log2 FC = −1.006, t-test p < 0.001).
This table shows molecular features associated with KIF1C in patient tissues and cancer cell lines. In patient samples, KIF1C shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, KIF1C RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BONE.
