Q-omics provides the consensus-scored GPATCH11 profile across patient tissues and cancer cell-line models. GPATCH11 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GPATCH11 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, GPATCH11 protein abundance shows 24,916 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, HNSC, and LSCC as cancer lineages where GPATCH11 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 GPATCH11 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GPATCH11 survival associations across molecular data types. GPATCH11 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GPATCH11 RNA expression–survival associations across cancer types. High GPATCH11 expression shows unfavorable associations in LIHC, KICH, MESO, UVM and KIRP, but favorable associations in KIRC. The KIRC 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 KIRC as the clearest survival context for GPATCH11 RNA expression.
This table summarizes GPATCH11 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 4. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GPATCH11. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GPATCH11 shows lower tumor expression in THCA and BRCA and higher tumor expression in HNSC, LIHC, KIRC and BLCA. The HNSC box plot shows higher GPATCH11 RNA expression in tumor versus normal tissue (log2 FC = +0.759, t-test p < 0.001).
This table shows molecular features associated with GPATCH11 in patient tissues and cancer cell lines. In patient samples, GPATCH11 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, GPATCH11 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
