Q-omics provides the consensus-scored CHASERR profile across patient tissues and cancer cell-line models. CHASERR expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CHASERR is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, CHASERR RNA expression shows 19,080 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where CHASERR 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 CHASERR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CHASERR survival associations across molecular data types. CHASERR 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 CHASERR RNA expression–survival associations across cancer types. High CHASERR expression shows unfavorable associations in ACC, UVM and KICH, but favorable associations in CESC, LUAD and BRCA. 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 CHASERR RNA expression.
This table summarizes CHASERR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for CHASERR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CHASERR shows lower tumor expression in KICH, LUAD and LUSC and higher tumor expression in HNSC, LIHC and CHOL. The KICH box plot shows higher CHASERR RNA expression in normal versus tumor tissue (log2 FC = −0.971, t-test p < 0.001).
This table shows molecular features associated with CHASERR in patient tissues and cancer cell lines. In patient samples, CHASERR shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
