heat shock protein family B (small) member 1Genealiases: CMT2F · HEL-S-102 · HMN2B · HMND3 · HS.76067 · HSP27
Q-omics provides the consensus-scored HSPB1 profile across patient tissues and cancer cell-line models. HSPB1 expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, HSPB1 is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, HSPB1 protein abundance shows 29,241 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight LGG, KIRP, and PDAC as cancer lineages where HSPB1 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 HSPB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSPB1 survival associations across molecular data types. HSPB1 RNA expression shows survival associations in the most cancer types (30), followed by mutation status (1) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSPB1 RNA expression–survival associations across cancer types. High HSPB1 expression shows unfavorable associations in LGG, LIHC, READ, KIRP and MESO, but favorable associations in UCEC. The LGG 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 LGG as the clearest survival context for HSPB1 RNA expression.
This table summarizes HSPB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 9. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HSPB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSPB1 shows higher tumor expression in KIRP, LIHC, KIRC, LUSC, BRCA and LUAD. The KIRP box plot shows higher HSPB1 RNA expression in tumor versus normal tissue (log2 FC = +1.922, t-test p < 0.001).
This table shows molecular features associated with HSPB1 in patient tissues and cancer cell lines. In patient samples, HSPB1 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, HSPB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LUNG_NSCLC_LUAD.
