Q-omics provides the consensus-scored OXGR1 profile across patient tissues and cancer cell-line models. OXGR1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, OXGR1 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, OXGR1 RNA expression shows 14,866 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight HNSC, and KIRC as cancer lineages where OXGR1 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 OXGR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OXGR1 survival associations across molecular data types. OXGR1 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OXGR1 RNA expression–survival associations across cancer types. High OXGR1 expression shows unfavorable associations in LAML, UVM, UCEC, READ and DLBC, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify HNSC as the clearest survival context for OXGR1 RNA expression.
This table summarizes OXGR1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for OXGR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OXGR1 shows lower tumor expression in KIRC, KIRP, BRCA, HNSC, LUAD and THCA. The KIRC box plot shows higher OXGR1 RNA expression in normal versus tumor tissue (log2 FC = −2.739, t-test p < 0.001).
This table shows molecular features associated with OXGR1 in patient tissues and cancer cell lines. In patient samples, OXGR1 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, OXGR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LUNG_NSCLC_LUAD.
