long intergenic non-protein coding RNA 2019Genealiases: []
Q-omics provides the consensus-scored LINC02019 profile across patient tissues and cancer cell-line models. LINC02019 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, LINC02019 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, LINC02019 RNA expression shows 17,844 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, HNSC, and UVM as cancer lineages where LINC02019 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 LINC02019 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC02019 survival associations across molecular data types. LINC02019 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC02019 RNA expression–survival associations across cancer types. High LINC02019 expression shows unfavorable associations in ACC, KIRC, PRAD and LGG, but favorable associations in SKCM and STAD. 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 LINC02019 RNA expression.
This table summarizes LINC02019 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for LINC02019. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC02019 shows lower tumor expression in HNSC, LUSC and BRCA and higher tumor expression in THCA, KIRC and COAD. The HNSC box plot shows higher LINC02019 RNA expression in normal versus tumor tissue (log2 FC = −0.235, t-test p < 0.001).
This table shows molecular features associated with LINC02019 in patient tissues and cancer cell lines. In patient samples, LINC02019 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
