heat shock protein family B (small) member 8Genealiases: CMT2L · DHMN2 · E2IG1 · H11 · HMN2 · HMN2A
Q-omics provides the consensus-scored HSPB8 profile across patient tissues and cancer cell-line models. HSPB8 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, HSPB8 is differentially expressed in 17, with the highest sampling consensus in KIRC. Additionally, HSPB8 protein abundance shows 29,153 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, KIRC, and HNSC as cancer lineages where HSPB8 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 HSPB8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSPB8 survival associations across molecular data types. HSPB8 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSPB8 RNA expression–survival associations across cancer types. High HSPB8 expression shows unfavorable associations in UVM, SKCM, LUSC and LIHC, but favorable associations in ACC and UCS. The ACC 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 ACC as the clearest survival context for HSPB8 RNA expression.
This table summarizes HSPB8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HSPB8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSPB8 shows lower tumor expression in COAD, THCA, BLCA and LUAD and higher tumor expression in KIRC and KIRP. The KIRC box plot shows higher HSPB8 RNA expression in tumor versus normal tissue (log2 FC = +2.881, t-test p < 0.001).
This table shows molecular features associated with HSPB8 in patient tissues and cancer cell lines. In patient samples, HSPB8 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, HSPB8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
