engulfment and cell motility 1Genealiases: CED-12 · CED12 · ELMO-1
Q-omics provides the consensus-scored ELMO1 profile across patient tissues and cancer cell-line models. ELMO1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, ELMO1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, ELMO1 protein abundance shows 20,298 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LUAD, KIRC, and GBM as cancer lineages where ELMO1 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 ELMO1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ELMO1 survival associations across molecular data types. ELMO1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (12) 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 ELMO1 RNA expression–survival associations across cancer types. High ELMO1 expression shows unfavorable associations in UVM, but favorable associations in LUAD, SKCM, KIRC, PAAD and LGG. The LUAD 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 LUAD as the clearest survival context for ELMO1 RNA expression.
This table summarizes ELMO1 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 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ELMO1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ELMO1 shows lower tumor expression in THCA, LUAD, KICH and LUSC and higher tumor expression in KIRC and HNSC. The KIRC box plot shows higher ELMO1 RNA expression in tumor versus normal tissue (log2 FC = +1.796, t-test p < 0.001).
This table shows molecular features associated with ELMO1 in patient tissues and cancer cell lines. In patient samples, ELMO1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, ELMO1 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 LIVER and BLOOD_Leukemia.
