late cornified envelope 3DGenealiases: LEP16 · SPRL6A · SPRL6B
Q-omics provides the consensus-scored LCE3D profile across patient tissues and cancer cell-line models. LCE3D expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, LCE3D is differentially expressed in 4, with the highest sampling consensus in LUSC. Additionally, LCE3D protein abundance shows 8,372 significant gene co-expression associations, with the highest sampling consensus in HNSC. Together, these results highlight BLCA, LUSC, and HNSC as cancer lineages where LCE3D 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 LCE3D — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LCE3D survival associations across molecular data types. LCE3D RNA expression shows survival associations in the most cancer types (20), followed by mutation status (2) 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 LCE3D RNA expression–survival associations across cancer types. High LCE3D expression shows unfavorable associations in BLCA, KIRP, KICH, THCA and KIRC, but favorable associations in ESCA. 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 LCE3D RNA expression.
This table summarizes LCE3D tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4, while mass-spec protein shows differences in 2. The strongest signals are observed in LUSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for LCE3D. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LCE3D shows higher tumor expression in LUSC, HNSC, PAAD and BRCA. The LUSC box plot shows higher LCE3D RNA expression in tumor versus normal tissue (log2 FC = +2.866, t-test p < 0.001).
This table shows molecular features associated with LCE3D in patient tissues and cancer cell lines. In patient samples, LCE3D shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, LCE3D RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
