protein phosphatase 1 regulatory inhibitor subunit 1BGenealiases: DARPP-32 · DARPP32
Q-omics provides the consensus-scored PPP1R1B profile across patient tissues and cancer cell-line models. PPP1R1B expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PPP1R1B is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, PPP1R1B protein abundance shows 16,357 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, KIRC, and GBM as cancer lineages where PPP1R1B 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 PPP1R1B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP1R1B survival associations across molecular data types. PPP1R1B RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) 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 PPP1R1B RNA expression–survival associations across cancer types. High PPP1R1B expression shows unfavorable associations in KIRP, KIRC and ESCA, but favorable associations in SCLC, OV and DLBC. The KIRP 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 KIRP as the clearest survival context for PPP1R1B RNA expression.
This table summarizes PPP1R1B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for PPP1R1B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP1R1B shows lower tumor expression in KIRC, KIRP, LUSC, BLCA and HNSC and higher tumor expression in THCA. The KIRC box plot shows higher PPP1R1B RNA expression in normal versus tumor tissue (log2 FC = −2.828, t-test p < 0.001).
This table shows molecular features associated with PPP1R1B in patient tissues and cancer cell lines. In patient samples, PPP1R1B shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PPP1R1B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and LARGE_INTESTINE.
