Q-omics provides the consensus-scored HSPE1-MOB4 profile across patient tissues and cancer cell-line models. HSPE1-MOB4 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, HSPE1-MOB4 is differentially expressed in 12, with the highest sampling consensus in LIHC. Additionally, HSPE1-MOB4 RNA expression shows 13,658 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, LIHC, and ACC as cancer lineages where HSPE1-MOB4 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 HSPE1-MOB4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HSPE1-MOB4 survival associations across molecular data types. HSPE1-MOB4 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HSPE1-MOB4 RNA expression–survival associations across cancer types. High HSPE1-MOB4 expression shows unfavorable associations in UVM, ACC, KIRC, MESO, STAD and BLCA. The UVM 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 UVM as the clearest survival context for HSPE1-MOB4 RNA expression.
This table summarizes HSPE1-MOB4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for HSPE1-MOB4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HSPE1-MOB4 shows higher tumor expression in LIHC, LUAD, LUSC, STAD, BRCA and COAD. The LIHC box plot shows higher HSPE1-MOB4 RNA expression in tumor versus normal tissue (log2 FC = +0.099, t-test p < 0.001).
This table shows molecular features associated with HSPE1-MOB4 in patient tissues and cancer cell lines. In patient samples, HSPE1-MOB4 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, HSPE1-MOB4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN.
