vacuolar protein sorting 36 homologGenealiases: C13orf9 · CGI-145 · EAP45
Q-omics provides the consensus-scored VPS36 profile across patient tissues and cancer cell-line models. VPS36 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, VPS36 is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, VPS36 protein abundance shows 25,831 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KIRC, KICH, and LUAD as cancer lineages where VPS36 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 VPS36 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VPS36 survival associations across molecular data types. VPS36 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VPS36 RNA expression–survival associations across cancer types. High VPS36 expression shows unfavorable associations in ACC, CESC, UVM and HNSC, but favorable associations in KIRC and KIRP. 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 VPS36 RNA expression.
This table summarizes VPS36 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 11. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for VPS36. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VPS36 shows lower tumor expression in KICH, THCA, LUAD, UCEC, LUSC and BRCA. The KICH box plot shows higher VPS36 RNA expression in normal versus tumor tissue (log2 FC = −1.427, t-test p < 0.001).
This table shows molecular features associated with VPS36 in patient tissues and cancer cell lines. In patient samples, VPS36 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, VPS36 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia.
