opsin 1, short wave sensitiveGenealiases: BCP · BOP · CBT
Q-omics provides the consensus-scored OPN1SW profile across patient tissues and cancer cell-line models. OPN1SW expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, OPN1SW is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, OPN1SW RNA expression shows 18,634 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight STAD, HNSC, and UVM as cancer lineages where OPN1SW 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 OPN1SW — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OPN1SW survival associations across molecular data types. OPN1SW RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OPN1SW RNA expression–survival associations across cancer types. High OPN1SW expression shows unfavorable associations in STAD, MESO, UVM and LIHC, but favorable associations in SKCM and UCS. The STAD 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 STAD as the clearest survival context for OPN1SW RNA expression.
This table summarizes OPN1SW tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for OPN1SW. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OPN1SW shows lower tumor expression in THCA, BLCA and UCEC and higher tumor expression in HNSC, KIRC and LIHC. The HNSC box plot shows higher OPN1SW RNA expression in tumor versus normal tissue (log2 FC = +1.662, t-test p < 0.001).
This table shows molecular features associated with OPN1SW in patient tissues and cancer cell lines. In patient samples, OPN1SW shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, OPN1SW RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Leukemia.
