Q-omics provides the consensus-scored LONRF3 profile across patient tissues and cancer cell-line models. LONRF3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, LONRF3 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, LONRF3 RNA expression shows 19,027 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KICH, and THYM as cancer lineages where LONRF3 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 LONRF3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LONRF3 survival associations across molecular data types. LONRF3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LONRF3 RNA expression–survival associations across cancer types. High LONRF3 expression shows unfavorable associations in UVM, LUSC, PAAD, ACC and LGG, but favorable associations in KIRC. The KIRC 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 KIRC as the clearest survival context for LONRF3 RNA expression.
This table summarizes LONRF3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 1. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for LONRF3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LONRF3 shows lower tumor expression in KICH, THCA, LUSC, BRCA, BLCA and LUAD. The KICH box plot shows higher LONRF3 RNA expression in normal versus tumor tissue (log2 FC = −2.469, t-test p < 0.001).
This table shows molecular features associated with LONRF3 in patient tissues and cancer cell lines. In patient samples, LONRF3 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, LONRF3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and SKIN.
