Q-omics provides the consensus-scored KLRC1 profile across patient tissues and cancer cell-line models. KLRC1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, KLRC1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, KLRC1 RNA expression shows 13,491 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCEC, KIRC, and UVM as cancer lineages where KLRC1 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 KLRC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KLRC1 survival associations across molecular data types. KLRC1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KLRC1 RNA expression–survival associations across cancer types. High KLRC1 expression shows unfavorable associations in KIRP, but favorable associations in UCEC, SKCM, BLCA, MESO and BRCA. The UCEC 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 UCEC as the clearest survival context for KLRC1 RNA expression.
This table summarizes KLRC1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for KLRC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KLRC1 shows lower tumor expression in LUSC, BRCA and COAD and higher tumor expression in KIRC, KIRP and HNSC. The KIRC box plot shows higher KLRC1 RNA expression in tumor versus normal tissue (log2 FC = +0.719, t-test p < 0.001).
This table shows molecular features associated with KLRC1 in patient tissues and cancer cell lines. In patient samples, KLRC1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, KLRC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and OVARY.
