long intergenic non-protein coding RNA 486Genealiases: []
Q-omics provides the consensus-scored LINC00486 profile across patient tissues and cancer cell-line models. LINC00486 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LINC00486 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, LINC00486 RNA expression shows 12,628 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, KICH, and THYM as cancer lineages where LINC00486 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 LINC00486 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC00486 survival associations across molecular data types. LINC00486 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC00486 RNA expression–survival associations across cancer types. High LINC00486 expression shows unfavorable associations in ACC, KIRC and KICH, but favorable associations in UVM, ESCA and LIHC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for LINC00486 RNA expression.
This table summarizes LINC00486 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for LINC00486. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC00486 shows lower tumor expression in KICH, KIRP and KIRC and higher tumor expression in HNSC, LUSC and CHOL. The KICH box plot shows higher LINC00486 RNA expression in normal versus tumor tissue (log2 FC = −0.054, t-test p < 0.001).
This table shows molecular features associated with LINC00486 in patient tissues and cancer cell lines. In patient samples, LINC00486 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
