voltage dependent anion channel 1 pseudogene 8Genealiases: []
Q-omics provides the consensus-scored VDAC1P8 profile across patient tissues and cancer cell-line models. VDAC1P8 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, VDAC1P8 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, VDAC1P8 RNA expression shows 20,471 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LIHC, HNSC, and THYM as cancer lineages where VDAC1P8 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 VDAC1P8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VDAC1P8 survival associations across molecular data types. VDAC1P8 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VDAC1P8 RNA expression–survival associations across cancer types. High VDAC1P8 expression shows unfavorable associations in LIHC, MESO, LGG and KIRC, but favorable associations in UCS and READ. The LIHC 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 LIHC as the clearest survival context for VDAC1P8 RNA expression.
This table summarizes VDAC1P8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for VDAC1P8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VDAC1P8 shows lower tumor expression in KICH, BRCA and THCA and higher tumor expression in HNSC, LIHC and BLCA. The HNSC box plot shows higher VDAC1P8 RNA expression in tumor versus normal tissue (log2 FC = +0.272, t-test p < 0.001).
This table shows molecular features associated with VDAC1P8 in patient tissues and cancer cell lines. In patient samples, VDAC1P8 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
