Q-omics provides the consensus-scored LNP1 profile across patient tissues and cancer cell-line models. LNP1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, LNP1 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, LNP1 RNA expression shows 19,328 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCS, KICH, and THYM as cancer lineages where LNP1 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 LNP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LNP1 survival associations across molecular data types. LNP1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LNP1 RNA expression–survival associations across cancer types. High LNP1 expression shows unfavorable associations in COAD, but favorable associations in UCS, UVM, KIRP, SCLC and ACC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UCS as the clearest survival context for LNP1 RNA expression.
This table summarizes LNP1 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 LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for LNP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LNP1 shows lower tumor expression in KICH, LUAD, THCA, UCEC and BRCA and higher tumor expression in HNSC. The KICH box plot shows higher LNP1 RNA expression in normal versus tumor tissue (log2 FC = −2.287, t-test p < 0.001).
This table shows molecular features associated with LNP1 in patient tissues and cancer cell lines. In patient samples, LNP1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, LNP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
