Q-omics provides the consensus-scored ACAP2-IT1 profile across patient tissues and cancer cell-line models. ACAP2-IT1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ACAP2-IT1 is differentially expressed in 7, with the highest sampling consensus in LIHC. Additionally, ACAP2-IT1 RNA expression shows 19,792 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight HNSC, LIHC, and DLBC as cancer lineages where ACAP2-IT1 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 ACAP2-IT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ACAP2-IT1 survival associations across molecular data types. ACAP2-IT1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ACAP2-IT1 RNA expression–survival associations across cancer types. High ACAP2-IT1 expression shows unfavorable associations in UCEC, MESO, OV, LIHC and ACC, but favorable associations in HNSC. The HNSC 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 HNSC as the clearest survival context for ACAP2-IT1 RNA expression.
This table summarizes ACAP2-IT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for ACAP2-IT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ACAP2-IT1 shows lower tumor expression in THCA and higher tumor expression in LIHC, HNSC, CHOL, LUSC and STAD. The LIHC box plot shows higher ACAP2-IT1 RNA expression in tumor versus normal tissue (log2 FC = +0.193, t-test p < 0.001).
This table shows molecular features associated with ACAP2-IT1 in patient tissues and cancer cell lines. In patient samples, ACAP2-IT1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
