long intergenic non-protein coding RNA 700Genealiases: []
Q-omics provides the consensus-scored LINC00700 profile across patient tissues and cancer cell-line models. LINC00700 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, LINC00700 is differentially expressed in 2, with the highest sampling consensus in THCA. Additionally, LINC00700 RNA expression shows 6,231 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UCEC, THCA, and STAD as cancer lineages where LINC00700 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 LINC00700 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC00700 survival associations across molecular data types. LINC00700 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC00700 RNA expression–survival associations across cancer types. High LINC00700 expression shows unfavorable associations in UCEC, COAD, ACC, KICH and THCA, but favorable associations in ESCA. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for LINC00700 RNA expression.
This table summarizes LINC00700 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for LINC00700. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC00700 shows lower tumor expression in THCA and higher tumor expression in KIRC. The THCA box plot shows higher LINC00700 RNA expression in normal versus tumor tissue (log2 FC = −0.008, t-test p = .039).
This table shows molecular features associated with LINC00700 in patient tissues and cancer cell lines. In patient samples, LINC00700 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
