DnaJ heat shock protein family (Hsp40) member C27Genealiases: RBJ · RabJS
Q-omics provides the consensus-scored DNAJC27 profile across patient tissues and cancer cell-line models. DNAJC27 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DNAJC27 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, DNAJC27 RNA expression shows 22,560 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, THCA, and LSCC as cancer lineages where DNAJC27 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 DNAJC27 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DNAJC27 survival associations across molecular data types. DNAJC27 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DNAJC27 RNA expression–survival associations across cancer types. High DNAJC27 expression shows favorable associations in KIRC, SCLC, LUAD, SKCM, UCS and PAAD. The KIRC 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 KIRC as the clearest survival context for DNAJC27 RNA expression.
This table summarizes DNAJC27 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for DNAJC27. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DNAJC27 shows lower tumor expression in THCA, LUAD, UCEC, BLCA, KIRC and KICH. The THCA box plot shows higher DNAJC27 RNA expression in normal versus tumor tissue (log2 FC = −1.181, t-test p < 0.001).
This table shows molecular features associated with DNAJC27 in patient tissues and cancer cell lines. In patient samples, DNAJC27 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, DNAJC27 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 BLOOD_Leukemia.
