Q-omics provides the consensus-scored TROAP profile across patient tissues and cancer cell-line models. TROAP expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, TROAP is differentially expressed in 17, with the highest sampling consensus in BLCA. Additionally, TROAP RNA expression shows 26,732 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, BLCA, and LSCC as cancer lineages where TROAP 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 TROAP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TROAP survival associations across molecular data types. TROAP RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TROAP RNA expression–survival associations across cancer types. High TROAP expression shows unfavorable associations in ACC, KIRC, KIRP, MESO, KICH and LIHC. 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 TROAP RNA expression.
This table summarizes TROAP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TROAP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TROAP shows higher tumor expression in BLCA, HNSC, LUAD, COAD, KIRP and KIRC. The BLCA box plot shows higher TROAP RNA expression in tumor versus normal tissue (log2 FC = +3.108, t-test p < 0.001).
This table shows molecular features associated with TROAP in patient tissues and cancer cell lines. In patient samples, TROAP 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, TROAP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
