Q-omics provides the consensus-scored PIK3R1 profile across patient tissues and cancer cell-line models. PIK3R1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PIK3R1 is differentially expressed in 10, with the highest sampling consensus in LUAD. Additionally, PIK3R1 RNA expression shows 20,584 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, LUAD, and UVM as cancer lineages where PIK3R1 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 PIK3R1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIK3R1 survival associations across molecular data types. PIK3R1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIK3R1 RNA expression–survival associations across cancer types. High PIK3R1 expression shows unfavorable associations in KICH, but favorable associations in KIRC, HNSC, ACC, LUAD and LGG. The KIRC 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 KIRC as the clearest survival context for PIK3R1 RNA expression.
This table summarizes PIK3R1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in LUAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PIK3R1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIK3R1 shows lower tumor expression in LUAD, KICH, HNSC, COAD, BRCA and LUSC. The LUAD box plot shows higher PIK3R1 RNA expression in normal versus tumor tissue (log2 FC = −1.191, t-test p < 0.001).
This table shows molecular features associated with PIK3R1 in patient tissues and cancer cell lines. In patient samples, PIK3R1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, PIK3R1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and BLOOD_Leukemia.
