Q-omics provides the consensus-scored ROCR profile across patient tissues and cancer cell-line models. ROCR expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, ROCR is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, ROCR RNA expression shows 12,863 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight COAD, KIRC, and PDAC as cancer lineages where ROCR 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 ROCR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ROCR survival associations across molecular data types. ROCR 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 ROCR RNA expression–survival associations across cancer types. High ROCR expression shows unfavorable associations in COAD, LUAD, OV and UCEC, but favorable associations in ESCA and BRCA. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .012). Together, the overview and detailed table identify COAD as the clearest survival context for ROCR RNA expression.
This table summarizes ROCR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ROCR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ROCR shows lower tumor expression in THCA, BRCA, HNSC, LIHC and PAAD and higher tumor expression in KIRC. The KIRC box plot shows higher ROCR RNA expression in tumor versus normal tissue (log2 FC = +0.169, t-test p < 0.001).
This table shows molecular features associated with ROCR in patient tissues and cancer cell lines. In patient samples, ROCR shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set.
