Q-omics provides the consensus-scored CAMSAP1 profile across patient tissues and cancer cell-line models. CAMSAP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CAMSAP1 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, CAMSAP1 RNA expression shows 20,918 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where CAMSAP1 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 CAMSAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CAMSAP1 survival associations across molecular data types. CAMSAP1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CAMSAP1 RNA expression–survival associations across cancer types. High CAMSAP1 expression shows unfavorable associations in ACC, BLCA, LIHC and BRCA, but favorable associations in KIRC and HNSC. The ACC 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 ACC as the clearest survival context for CAMSAP1 RNA expression.
This table summarizes CAMSAP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CAMSAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CAMSAP1 shows lower tumor expression in KICH and higher tumor expression in COAD, KIRP, LIHC, KIRC and CHOL. The COAD box plot shows higher CAMSAP1 RNA expression in tumor versus normal tissue (log2 FC = +0.918, t-test p < 0.001).
This table shows molecular features associated with CAMSAP1 in patient tissues and cancer cell lines. In patient samples, CAMSAP1 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, CAMSAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
