Q-omics provides the consensus-scored GMPPA profile across patient tissues and cancer cell-line models. GMPPA expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GMPPA is differentially expressed in 18, with the highest sampling consensus in KIRC. Additionally, GMPPA protein abundance shows 24,472 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where GMPPA 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 GMPPA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GMPPA survival associations across molecular data types. GMPPA RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GMPPA RNA expression–survival associations across cancer types. High GMPPA expression shows unfavorable associations in ACC, UVM, LIHC, KIRC, KIRP and OV. The ACC 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 ACC as the clearest survival context for GMPPA RNA expression.
This table summarizes GMPPA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 18, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for GMPPA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GMPPA shows higher tumor expression in KIRC, HNSC, COAD, LUAD, LIHC and STAD. The KIRC box plot shows higher GMPPA RNA expression in tumor versus normal tissue (log2 FC = +1.043, t-test p < 0.001).
This table shows molecular features associated with GMPPA in patient tissues and cancer cell lines. In patient samples, GMPPA 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, GMPPA 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 BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
