heat shock protein family A (Hsp70) member 4Genealiases: APG-2 · HEL-S-5a · HS24/P52 · HSPH2 · RY · hsp70
Q-omics provides the consensus-scored HSPA4 profile across patient tissues and cancer cell-line models. HSPA4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, HSPA4 is differentially expressed in 13, with the highest sampling consensus in LIHC. Additionally, HSPA4 RNA expression shows 19,359 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, LIHC, and ACC as cancer lineages where HSPA4 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 HSPA4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSPA4 survival associations across molecular data types. HSPA4 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSPA4 RNA expression–survival associations across cancer types. High HSPA4 expression shows unfavorable associations in HNSC, UVM, LIHC, LUAD and KICH, but favorable associations in KIRC. 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 HSPA4 RNA expression.
This table summarizes HSPA4 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 5. The strongest signals are observed in LIHC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for HSPA4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSPA4 shows higher tumor expression in LIHC, LUAD, LUSC, COAD, BLCA and BRCA. The LIHC box plot shows higher HSPA4 RNA expression in tumor versus normal tissue (log2 FC = +1.448, t-test p < 0.001).
This table shows molecular features associated with HSPA4 in patient tissues and cancer cell lines. In patient samples, HSPA4 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, HSPA4 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 BONE and UPPER_AERODIGESTIVE_TRACT.
