Q-omics provides the consensus-scored KIF27 profile across patient tissues and cancer cell-line models. KIF27 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, KIF27 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, KIF27 RNA expression shows 21,013 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, KICH, and KIRP as cancer lineages where KIF27 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 KIF27 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KIF27 survival associations across molecular data types. KIF27 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KIF27 RNA expression–survival associations across cancer types. High KIF27 expression shows unfavorable associations in LGG, but favorable associations in HNSC, KIRC, UCS, READ and THYM. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify HNSC as the clearest survival context for KIF27 RNA expression.
This table summarizes KIF27 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 2. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for KIF27. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KIF27 shows lower tumor expression in KICH, THCA and KIRC and higher tumor expression in COAD, BLCA and CHOL. The KICH box plot shows higher KIF27 RNA expression in normal versus tumor tissue (log2 FC = −1.158, t-test p < 0.001).
This table shows molecular features associated with KIF27 in patient tissues and cancer cell lines. In patient samples, KIF27 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, KIF27 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 OVARY and BLOOD_Leukemia.
