Q-omics provides the consensus-scored EGFLAM-AS2 profile across patient tissues and cancer cell-line models. EGFLAM-AS2 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, EGFLAM-AS2 is differentially expressed in 1, with the highest sampling consensus in LUSC. Additionally, EGFLAM-AS2 RNA expression shows 8,410 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, LUSC, and GBM as cancer lineages where EGFLAM-AS2 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 EGFLAM-AS2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EGFLAM-AS2 survival associations across molecular data types. EGFLAM-AS2 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EGFLAM-AS2 RNA expression–survival associations across cancer types. High EGFLAM-AS2 expression shows unfavorable associations in ACC, LIHC, OV, READ, UCS and BLCA. 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 EGFLAM-AS2 RNA expression.
This table summarizes EGFLAM-AS2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for EGFLAM-AS2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EGFLAM-AS2 shows higher tumor expression in LUSC. The LUSC box plot shows higher EGFLAM-AS2 RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .005).
This table shows molecular features associated with EGFLAM-AS2 in patient tissues and cancer cell lines. In patient samples, EGFLAM-AS2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
