Q-omics provides the consensus-scored LCE3B profile across patient tissues and cancer cell-line models. LCE3B expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in BLCA. Additionally, LCE3B RNA expression shows 4,471 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight BLCA, and UCEC as cancer lineages where LCE3B 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 LCE3B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LCE3B survival associations across molecular data types. LCE3B RNA expression shows survival associations in the most cancer types (6), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LCE3B RNA expression–survival associations across cancer types. High LCE3B expression shows unfavorable associations in BLCA, SKCM, DLBC, ACC, STAD and UCEC. The BLCA 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 BLCA as the clearest survival context for LCE3B RNA expression.
This table shows molecular features associated with LCE3B in patient tissues and cancer cell lines. In patient samples, LCE3B shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, LCE3B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and UPPER_AERODIGESTIVE_TRACT.
