growth associated protein 43Genealiases: B-50 · GAP-43 · PP46
Q-omics provides the consensus-scored GAP43 profile across patient tissues and cancer cell-line models. GAP43 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, GAP43 is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, GAP43 protein abundance shows 18,761 significant protein co-abundance associations, with the highest sampling consensus in COAD. Together, these results highlight KIRP, THCA, and COAD as cancer lineages where GAP43 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 GAP43 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GAP43 survival associations across molecular data types. GAP43 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GAP43 RNA expression–survival associations across cancer types. High GAP43 expression shows unfavorable associations in KIRP, BLCA, LUAD, ACC and LGG, but favorable associations in ESCA. The KIRP 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 KIRP as the clearest survival context for GAP43 RNA expression.
This table summarizes GAP43 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 6. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for GAP43. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GAP43 shows lower tumor expression in COAD and KICH and higher tumor expression in THCA, HNSC, LUAD and LUSC. The THCA box plot shows higher GAP43 RNA expression in tumor versus normal tissue (log2 FC = +3.260, t-test p < 0.001).
This table shows molecular features associated with GAP43 in patient tissues and cancer cell lines. In patient samples, GAP43 shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set. In cancer cell lines, GAP43 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
