Q-omics provides the consensus-scored MORC2-AS1 profile across patient tissues and cancer cell-line models. MORC2-AS1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, MORC2-AS1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, MORC2-AS1 RNA expression shows 16,983 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCS, KIRC, and THYM as cancer lineages where MORC2-AS1 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 MORC2-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MORC2-AS1 survival associations across molecular data types. MORC2-AS1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MORC2-AS1 RNA expression–survival associations across cancer types. High MORC2-AS1 expression shows unfavorable associations in KIRP, ACC and OV, but favorable associations in UCS, BLCA and HNSC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UCS as the clearest survival context for MORC2-AS1 RNA expression.
This table summarizes MORC2-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MORC2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MORC2-AS1 shows lower tumor expression in KIRC, THCA and KICH and higher tumor expression in HNSC, LUSC and CHOL. The KIRC box plot shows higher MORC2-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.249, t-test p < 0.001).
This table shows molecular features associated with MORC2-AS1 in patient tissues and cancer cell lines. In patient samples, MORC2-AS1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, MORC2-AS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD.
