heat shock protein family A (Hsp70) member 8Genealiases: HEL-33 · HEL-S-72p · HSC54 · HSC70 · HSC71 · HSP71
Q-omics provides the consensus-scored HSPA8 profile across patient tissues and cancer cell-line models. HSPA8 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, HSPA8 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, HSPA8 protein abundance shows 36,346 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KIRC, COAD, and PDAC as cancer lineages where HSPA8 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 HSPA8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSPA8 survival associations across molecular data types. HSPA8 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSPA8 RNA expression–survival associations across cancer types. High HSPA8 expression shows unfavorable associations in CESC, LIHC and ACC, but favorable associations in KIRC, READ and COAD. 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 HSPA8 RNA expression.
This table summarizes HSPA8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 10. The strongest signals are observed in COAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HSPA8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSPA8 shows lower tumor expression in THCA and KIRC and higher tumor expression in COAD, LIHC, BRCA and CHOL. The COAD box plot shows higher HSPA8 RNA expression in tumor versus normal tissue (log2 FC = +1.064, t-test p < 0.001).
This table shows molecular features associated with HSPA8 in patient tissues and cancer cell lines. In patient samples, HSPA8 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, HSPA8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
