proteoglycan 2, pro eosinophil major basic proteinGenealiases: BMPG · MBP · MBP1 · proMBP
Q-omics provides the consensus-scored PRG2 profile across patient tissues and cancer cell-line models. PRG2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PRG2 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, PRG2 protein abundance shows 11,526 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, KIRC, and GBM as cancer lineages where PRG2 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 PRG2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRG2 survival associations across molecular data types. PRG2 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRG2 RNA expression–survival associations across cancer types. High PRG2 expression shows unfavorable associations in KIRC, UVM, ESCA and UCEC, but favorable associations in HNSC and READ. The HNSC 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 HNSC as the clearest survival context for PRG2 RNA expression.
This table summarizes PRG2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for PRG2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRG2 shows lower tumor expression in BRCA, LUSC, LUAD and BLCA and higher tumor expression in KIRC and KIRP. The KIRC box plot shows higher PRG2 RNA expression in tumor versus normal tissue (log2 FC = +0.096, t-test p < 0.001).
This table shows molecular features associated with PRG2 in patient tissues and cancer cell lines. In patient samples, PRG2 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, PRG2 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 BLOOD_Leukemia and CNS.
