heat shock protein 90 beta family member 2, pseudogeneGenealiases: GRP94P1 · GRP94b · HSP · HSPCP2 · TRA1P1 · TRAP1
Q-omics provides the consensus-scored HSP90B2P profile across patient tissues and cancer cell-line models. HSP90B2P expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HSP90B2P is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, HSP90B2P RNA expression shows 19,255 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where HSP90B2P 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 HSP90B2P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSP90B2P survival associations across molecular data types. HSP90B2P RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSP90B2P RNA expression–survival associations across cancer types. High HSP90B2P expression shows unfavorable associations in ACC, KICH, BRCA and LUSC, but favorable associations in SKCM and KIRC. The ACC 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 ACC as the clearest survival context for HSP90B2P RNA expression.
This table summarizes HSP90B2P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for HSP90B2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSP90B2P shows lower tumor expression in THCA, KIRP and KICH and higher tumor expression in HNSC, LUAD and COAD. The THCA box plot shows higher HSP90B2P RNA expression in normal versus tumor tissue (log2 FC = −0.541, t-test p < 0.001).
This table shows molecular features associated with HSP90B2P in patient tissues and cancer cell lines. In patient samples, HSP90B2P shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, HSP90B2P RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS.
