Q-omics provides the consensus-scored LINC00667 profile across patient tissues and cancer cell-line models. LINC00667 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LINC00667 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, LINC00667 RNA expression shows 20,057 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where LINC00667 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 LINC00667 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC00667 survival associations across molecular data types. LINC00667 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC00667 RNA expression–survival associations across cancer types. High LINC00667 expression shows unfavorable associations in ACC, KICH and LIHC, but favorable associations in LUSC, UCS and KIRP. 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 LINC00667 RNA expression.
This table summarizes LINC00667 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for LINC00667. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC00667 shows lower tumor expression in THCA, COAD, BLCA, KICH, LUAD and UCEC. The THCA box plot shows higher LINC00667 RNA expression in normal versus tumor tissue (log2 FC = −0.900, t-test p < 0.001).
This table shows molecular features associated with LINC00667 in patient tissues and cancer cell lines. In patient samples, LINC00667 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, LINC00667 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
