long intergenic non-protein coding RNA, regulator of reprogrammingGenealiases: ROR · lincRNA-RoR · lincRNA-ST8SIA3
Q-omics provides the consensus-scored LINC-ROR profile across patient tissues and cancer cell-line models. LINC-ROR expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LINC-ROR is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, LINC-ROR RNA expression shows 7,435 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where LINC-ROR 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 LINC-ROR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC-ROR survival associations across molecular data types. LINC-ROR RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC-ROR RNA expression–survival associations across cancer types. High LINC-ROR expression shows unfavorable associations in ACC, DLBC, THCA, CHOL, LUSC and MESO. 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 LINC-ROR RNA expression.
This table summarizes LINC-ROR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for LINC-ROR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC-ROR shows lower tumor expression in THCA and UCEC and higher tumor expression in HNSC, LUSC, BRCA and LIHC. The HNSC box plot shows higher LINC-ROR RNA expression in tumor versus normal tissue (log2 FC = +0.087, t-test p = .001).
This table shows molecular features associated with LINC-ROR in patient tissues and cancer cell lines. In patient samples, LINC-ROR shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
