CXADR like cell adhesion moleculeGenealiases: ACAM · ASAM · CSBM · CSBS
Q-omics provides the consensus-scored CLMP profile across patient tissues and cancer cell-line models. CLMP expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CLMP is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, CLMP RNA expression shows 20,348 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where CLMP 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 CLMP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CLMP survival associations across molecular data types. CLMP RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CLMP RNA expression–survival associations across cancer types. High CLMP expression shows unfavorable associations in KIRC, MESO, CESC, ACC and LUSC, but favorable associations in BRCA. The KIRC 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 KIRC as the clearest survival context for CLMP RNA expression.
This table summarizes CLMP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 2. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CLMP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CLMP shows lower tumor expression in KIRC, COAD, KIRP, UCEC and KICH and higher tumor expression in HNSC. The KIRC box plot shows higher CLMP RNA expression in normal versus tumor tissue (log2 FC = −1.880, t-test p < 0.001).
This table shows molecular features associated with CLMP in patient tissues and cancer cell lines. In patient samples, CLMP 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, CLMP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and CNS.
