Q-omics provides the consensus-scored ACRP1 profile across patient tissues and cancer cell-line models. ACRP1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ACRP1 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, ACRP1 RNA expression shows 7,497 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight UVM, KICH, and KIRP as cancer lineages where ACRP1 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 ACRP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ACRP1 survival associations across molecular data types. ACRP1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ACRP1 RNA expression–survival associations across cancer types. High ACRP1 expression shows unfavorable associations in UVM, CESC, UCEC and LUAD, but favorable associations in MESO and LAML. The UVM 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 UVM as the clearest survival context for ACRP1 RNA expression.
This table summarizes ACRP1 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for ACRP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ACRP1 shows lower tumor expression in KICH and KIRP and higher tumor expression in LIHC, STAD, PRAD and CHOL. The KICH box plot shows higher ACRP1 RNA expression in normal versus tumor tissue (log2 FC = −0.544, t-test p < 0.001).
This table shows molecular features associated with ACRP1 in patient tissues and cancer cell lines. In patient samples, ACRP1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
