Q-omics provides the consensus-scored AVPR1A profile across patient tissues and cancer cell-line models. AVPR1A expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, AVPR1A is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, AVPR1A RNA expression shows 17,304 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight KIRP, THCA, and UCEC as cancer lineages where AVPR1A 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 AVPR1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AVPR1A survival associations across molecular data types. AVPR1A RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AVPR1A RNA expression–survival associations across cancer types. High AVPR1A expression shows unfavorable associations in KIRP, BLCA, UVM, MESO and STAD, but favorable associations in KIRC. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for AVPR1A RNA expression.
This table summarizes AVPR1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for AVPR1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AVPR1A shows lower tumor expression in THCA, KIRC, LIHC, KIRP, UCEC and BRCA. The THCA box plot shows higher AVPR1A RNA expression in normal versus tumor tissue (log2 FC = −3.730, t-test p < 0.001).
This table shows molecular features associated with AVPR1A in patient tissues and cancer cell lines. In patient samples, AVPR1A shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, AVPR1A 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 CNS and LARGE_INTESTINE.
