DnaJ heat shock protein family (Hsp40) member B3Genealiases: []
Q-omics provides the consensus-scored DNAJB3 profile across patient tissues and cancer cell-line models. DNAJB3 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, DNAJB3 is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, DNAJB3 RNA expression shows 11,336 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UCEC, KICH, and LSCC as cancer lineages where DNAJB3 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 DNAJB3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DNAJB3 survival associations across molecular data types. DNAJB3 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DNAJB3 RNA expression–survival associations across cancer types. High DNAJB3 expression shows unfavorable associations in UCEC, COAD, KIRP, SCLC and PAAD, but favorable associations in SKCM. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify UCEC as the clearest survival context for DNAJB3 RNA expression.
This table summarizes DNAJB3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for DNAJB3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DNAJB3 shows lower tumor expression in KICH and higher tumor expression in LUSC, KIRC, HNSC, LIHC and STAD. The KICH box plot shows higher DNAJB3 RNA expression in normal versus tumor tissue (log2 FC = −0.100, t-test p < 0.001).
This table shows molecular features associated with DNAJB3 in patient tissues and cancer cell lines. In patient samples, DNAJB3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
