long intergenic non-protein coding RNA 2137Genealiases: []
Q-omics provides the consensus-scored LINC02137 profile across patient tissues and cancer cell-line models. LINC02137 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LINC02137 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, LINC02137 RNA expression shows 9,644 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight ACC, HNSC, and ESCA as cancer lineages where LINC02137 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 LINC02137 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC02137 survival associations across molecular data types. LINC02137 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC02137 RNA expression–survival associations across cancer types. High LINC02137 expression shows unfavorable associations in LIHC, KICH and COAD, but favorable associations in ACC, LUSC and HNSC. The ACC 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 ACC as the clearest survival context for LINC02137 RNA expression.
This table summarizes LINC02137 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for LINC02137. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC02137 shows lower tumor expression in PRAD and UCEC and higher tumor expression in HNSC, KIRC, LUSC and UCEC. The HNSC box plot shows higher LINC02137 RNA expression in tumor versus normal tissue (log2 FC = +0.911, t-test p < 0.001).
This table shows molecular features associated with LINC02137 in patient tissues and cancer cell lines. In patient samples, LINC02137 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
