Q-omics provides the consensus-scored PACRG-AS2 profile across patient tissues and cancer cell-line models. PACRG-AS2 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PACRG-AS2 is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, PACRG-AS2 RNA expression shows 6,157 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight ACC, KIRC, and UCEC as cancer lineages where PACRG-AS2 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 PACRG-AS2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PACRG-AS2 survival associations across molecular data types. PACRG-AS2 RNA expression shows survival associations in the most cancer types (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PACRG-AS2 RNA expression–survival associations across cancer types. High PACRG-AS2 expression shows unfavorable associations in ACC, HNSC, MESO, BLCA and KICH, but favorable associations in PAAD. 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 PACRG-AS2 RNA expression.
This table summarizes PACRG-AS2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PACRG-AS2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PACRG-AS2 shows lower tumor expression in KIRC and THCA and higher tumor expression in KICH. The KIRC box plot shows higher PACRG-AS2 RNA expression in normal versus tumor tissue (log2 FC = −0.006, t-test p = .004).
This table shows molecular features associated with PACRG-AS2 in patient tissues and cancer cell lines. In patient samples, PACRG-AS2 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
