cyclin and CBS domain divalent metal cation transport mediator 1Genealiases: ACDP1 · CLP-1 · SLC70A1
Q-omics provides the consensus-scored CNNM1 profile across patient tissues and cancer cell-line models. CNNM1 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, CNNM1 is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, CNNM1 RNA expression shows 24,295 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LUAD, KICH, and LSCC as cancer lineages where CNNM1 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 CNNM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CNNM1 survival associations across molecular data types. CNNM1 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CNNM1 RNA expression–survival associations across cancer types. High CNNM1 expression shows unfavorable associations in LUAD, SKCM, LAML and KICH, but favorable associations in KIRP and LGG. The LUAD 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 LUAD as the clearest survival context for CNNM1 RNA expression.
This table summarizes CNNM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for CNNM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CNNM1 shows lower tumor expression in KICH, BLCA and THCA and higher tumor expression in KIRP, LUSC and LIHC. The KICH box plot shows higher CNNM1 RNA expression in normal versus tumor tissue (log2 FC = −2.299, t-test p < 0.001).
This table shows molecular features associated with CNNM1 in patient tissues and cancer cell lines. In patient samples, CNNM1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, CNNM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BONE.
