Q-omics provides the consensus-scored OR10G7 profile across patient tissues and cancer cell-line models. OR10G7 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, OR10G7 is differentially expressed in 3, with the highest sampling consensus in STAD. Additionally, OR10G7 RNA expression shows 7,398 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight THCA, STAD, and PDAC as cancer lineages where OR10G7 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 OR10G7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OR10G7 survival associations across molecular data types. OR10G7 RNA expression shows survival associations in the most cancer types (8), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OR10G7 RNA expression–survival associations across cancer types. High OR10G7 expression shows unfavorable associations in THCA, ACC, ESCA, SKCM, PAAD and PCPG. The THCA 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 THCA as the clearest survival context for OR10G7 RNA expression.
This table summarizes OR10G7 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 COAD for RNA.
This table ranks reproducible tumor–normal expression differences for OR10G7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OR10G7 shows lower tumor expression in COAD and THCA and higher tumor expression in STAD. The STAD box plot shows higher OR10G7 RNA expression in tumor versus normal tissue (log2 FC = +0.185, t-test p < 0.001).
This table shows molecular features associated with OR10G7 in patient tissues and cancer cell lines. In patient samples, OR10G7 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, OR10G7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BREAST and LARGE_INTESTINE.
