pregnancy specific beta-1-glycoprotein 3Genealiases: []
Q-omics provides the consensus-scored PSG3 profile across patient tissues and cancer cell-line models. PSG3 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PSG3 is differentially expressed in 6, with the highest sampling consensus in KIRP. Additionally, PSG3 RNA expression shows 7,790 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KIRP, and THYM as cancer lineages where PSG3 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 PSG3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSG3 survival associations across molecular data types. PSG3 RNA expression shows survival associations in the most cancer types (15), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSG3 RNA expression–survival associations across cancer types. High PSG3 expression shows unfavorable associations in KIRC, ACC, LUAD, TGCT and LIHC, but favorable associations in CESC. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for PSG3 RNA expression.
This table summarizes PSG3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for PSG3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSG3 shows lower tumor expression in BRCA and higher tumor expression in KIRP, LUAD, THCA, HNSC and KICH. The KIRP box plot shows higher PSG3 RNA expression in tumor versus normal tissue (log2 FC = +0.081, t-test p = .027).
This table shows molecular features associated with PSG3 in patient tissues and cancer cell lines. In patient samples, PSG3 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, PSG3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LARGE_INTESTINE.
