Q-omics provides the consensus-scored OPN1LW profile across patient tissues and cancer cell-line models. OPN1LW expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, OPN1LW is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, OPN1LW RNA expression shows 6,229 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight BLCA, KIRC, and STAD as cancer lineages where OPN1LW 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 OPN1LW — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OPN1LW survival associations across molecular data types. OPN1LW RNA expression shows survival associations in the most cancer types (13), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OPN1LW RNA expression–survival associations across cancer types. High OPN1LW expression shows unfavorable associations in BLCA, SCLC, UVM, LUSC, LIHC and DLBC. The BLCA 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 BLCA as the clearest survival context for OPN1LW RNA expression.
This table summarizes OPN1LW 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for OPN1LW. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OPN1LW shows lower tumor expression in KIRC and KICH and higher tumor expression in UCEC. The KIRC box plot shows higher OPN1LW RNA expression in normal versus tumor tissue (log2 FC = −0.010, t-test p = .009).
This table shows molecular features associated with OPN1LW in patient tissues and cancer cell lines. In patient samples, OPN1LW shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, OPN1LW RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Myeloma.
