long intergenic non-protein coding RNA 898Genealiases: []
Q-omics provides the consensus-scored LINC00898 profile across patient tissues and cancer cell-line models. LINC00898 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, LINC00898 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, LINC00898 RNA expression shows 11,692 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, HNSC, and GBM as cancer lineages where LINC00898 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 LINC00898 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINC00898 survival associations across molecular data types. LINC00898 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 LINC00898 RNA expression–survival associations across cancer types. High LINC00898 expression shows unfavorable associations in UVM, KICH, KIRP, UCEC and CHOL, but favorable associations in UCS. The UVM 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 UVM as the clearest survival context for LINC00898 RNA expression.
This table summarizes LINC00898 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for LINC00898. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINC00898 shows higher tumor expression in HNSC, LUSC, BLCA, BRCA, LIHC and LUAD. The HNSC box plot shows higher LINC00898 RNA expression in tumor versus normal tissue (log2 FC = +0.513, t-test p < 0.001).
This table shows molecular features associated with LINC00898 in patient tissues and cancer cell lines. In patient samples, LINC00898 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, LINC00898 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS.
