Q-omics provides the consensus-scored GVQW3 profile across patient tissues and cancer cell-line models. GVQW3 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, GVQW3 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, GVQW3 RNA expression shows 20,790 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight READ, KIRC, and TGCT as cancer lineages where GVQW3 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 GVQW3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GVQW3 survival associations across molecular data types. GVQW3 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GVQW3 RNA expression–survival associations across cancer types. High GVQW3 expression shows unfavorable associations in KICH, LUSC and BLCA, but favorable associations in READ, UCS and KIRP. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify READ as the clearest survival context for GVQW3 RNA expression.
This table summarizes GVQW3 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GVQW3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GVQW3 shows lower tumor expression in THCA and KICH and higher tumor expression in KIRC, COAD, LIHC and CHOL. The KIRC box plot shows higher GVQW3 RNA expression in tumor versus normal tissue (log2 FC = +0.342, t-test p < 0.001).
This table shows molecular features associated with GVQW3 in patient tissues and cancer cell lines. In patient samples, GVQW3 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, GVQW3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma.
