Q-omics provides the consensus-scored PIANP profile across patient tissues and cancer cell-line models. PIANP expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PIANP is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, PIANP RNA expression shows 17,542 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, COAD, and THYM as cancer lineages where PIANP 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 PIANP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIANP survival associations across molecular data types. PIANP RNA expression shows survival associations in the most cancer types (26), 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 PIANP RNA expression–survival associations across cancer types. High PIANP expression shows unfavorable associations in ACC, KIRC, COAD and BLCA, but favorable associations in UCEC and LGG. 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 PIANP RNA expression.
This table summarizes PIANP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PIANP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIANP shows lower tumor expression in COAD, STAD, READ and KICH and higher tumor expression in THCA and LUSC. The COAD box plot shows higher PIANP RNA expression in normal versus tumor tissue (log2 FC = −1.442, t-test p < 0.001).
This table shows molecular features associated with PIANP in patient tissues and cancer cell lines. In patient samples, PIANP shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, PIANP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
