DnaJ heat shock protein family (Hsp40) member C15Genealiases: DNAJD1 · HSD18 · MCJ
Q-omics provides the consensus-scored DNAJC15 profile across patient tissues and cancer cell-line models. DNAJC15 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, DNAJC15 is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, DNAJC15 RNA expression shows 16,512 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KICH, and UVM as cancer lineages where DNAJC15 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 DNAJC15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DNAJC15 survival associations across molecular data types. DNAJC15 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DNAJC15 RNA expression–survival associations across cancer types. High DNAJC15 expression shows unfavorable associations in HNSC, ESCA, LUAD and LGG, but favorable associations in THCA and KIRP. The HNSC 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 HNSC as the clearest survival context for DNAJC15 RNA expression.
This table summarizes DNAJC15 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 1. The strongest signals are observed in KICH for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for DNAJC15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DNAJC15 shows lower tumor expression in KICH, LUSC, KIRP and PRAD and higher tumor expression in STAD and ESCA. The KICH box plot shows higher DNAJC15 RNA expression in normal versus tumor tissue (log2 FC = −1.852, t-test p < 0.001).
This table shows molecular features associated with DNAJC15 in patient tissues and cancer cell lines. In patient samples, DNAJC15 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, DNAJC15 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
