Q-omics provides the consensus-scored LAIR1 profile across patient tissues and cancer cell-line models. LAIR1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, LAIR1 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, LAIR1 RNA expression shows 24,446 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, KIRC, and LSCC as cancer lineages where LAIR1 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 LAIR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LAIR1 survival associations across molecular data types. LAIR1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LAIR1 RNA expression–survival associations across cancer types. High LAIR1 expression shows unfavorable associations in LGG, UVM, GBM and KIRC, but favorable associations in SKCM and HNSC. The SKCM 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 SKCM as the clearest survival context for LAIR1 RNA expression.
This table summarizes LAIR1 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 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for LAIR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LAIR1 shows lower tumor expression in LUAD and higher tumor expression in KIRC, KIRP, HNSC, THCA and STAD. The KIRC box plot shows higher LAIR1 RNA expression in tumor versus normal tissue (log2 FC = +2.649, t-test p < 0.001).
This table shows molecular features associated with LAIR1 in patient tissues and cancer cell lines. In patient samples, LAIR1 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, LAIR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
