Q-omics provides the consensus-scored AMYP1 profile across patient tissues and cancer cell-line models. AMYP1 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, AMYP1 is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, AMYP1 RNA expression shows 3,993 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight THYM, KICH, and PDAC as cancer lineages where AMYP1 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 AMYP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AMYP1 survival associations across molecular data types. AMYP1 RNA expression shows survival associations in the most cancer types (10), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AMYP1 RNA expression–survival associations across cancer types. High AMYP1 expression shows unfavorable associations in THYM, UVM, SKCM, BLCA, LUSC and KIRC. The THYM 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 THYM as the clearest survival context for AMYP1 RNA expression.
This table summarizes AMYP1 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for AMYP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AMYP1 shows lower tumor expression in KICH, KIRP and KIRC. The KICH box plot shows higher AMYP1 RNA expression in normal versus tumor tissue (log2 FC = −0.047, t-test p = .004).
This table shows molecular features associated with AMYP1 in patient tissues and cancer cell lines. In patient samples, AMYP1 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set.
