long intergenic non-protein coding RNA 1100Genealiases: []
Q-omics provides the consensus-scored LINC01100 profile across patient tissues and cancer cell-line models. LINC01100 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, LINC01100 is differentially expressed in 3, with the highest sampling consensus in HNSC. Additionally, LINC01100 RNA expression shows 6,370 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UCS, HNSC, and STAD as cancer lineages where LINC01100 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 LINC01100 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC01100 survival associations across molecular data types. LINC01100 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINC01100 RNA expression–survival associations across cancer types. High LINC01100 expression shows unfavorable associations in UCS, KIRC, MESO and PCPG, but favorable associations in PAAD and BLCA. The UCS 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 UCS as the clearest survival context for LINC01100 RNA expression.
This table summarizes LINC01100 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for LINC01100. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC01100 shows lower tumor expression in HNSC, LUSC and STAD. The HNSC box plot shows higher LINC01100 RNA expression in normal versus tumor tissue (log2 FC = −0.203, t-test p < 0.001).
This table shows molecular features associated with LINC01100 in patient tissues and cancer cell lines. In patient samples, LINC01100 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
