Q-omics provides the consensus-scored PIK3R2 profile across patient tissues and cancer cell-line models. PIK3R2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, PIK3R2 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, PIK3R2 RNA expression shows 16,832 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LIHC, KIRC, and THYM as cancer lineages where PIK3R2 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 PIK3R2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIK3R2 survival associations across molecular data types. PIK3R2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIK3R2 RNA expression–survival associations across cancer types. High PIK3R2 expression shows unfavorable associations in LIHC, SKCM, KIRC and ACC, but favorable associations in CESC and LUSC. The LIHC 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 LIHC as the clearest survival context for PIK3R2 RNA expression.
This table summarizes PIK3R2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PIK3R2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIK3R2 shows higher tumor expression in KIRC, COAD, LIHC, KIRP, LUSC and THCA. The KIRC box plot shows higher PIK3R2 RNA expression in tumor versus normal tissue (log2 FC = +0.216, t-test p < 0.001).
This table shows molecular features associated with PIK3R2 in patient tissues and cancer cell lines. In patient samples, PIK3R2 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, PIK3R2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
