tubulin folding cofactor E likeGenealiases: El · LRRC35
Q-omics provides the consensus-scored TBCEL profile across patient tissues and cancer cell-line models. TBCEL expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, TBCEL is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, TBCEL protein abundance shows 25,529 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, THCA, and HNSC as cancer lineages where TBCEL 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 TBCEL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TBCEL survival associations across molecular data types. TBCEL RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TBCEL RNA expression–survival associations across cancer types. High TBCEL expression shows unfavorable associations in ACC, MESO and STAD, but favorable associations in KIRC, UCS and SKCM. 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 TBCEL RNA expression.
This table summarizes TBCEL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 7. The strongest signals are observed in LUSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for TBCEL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TBCEL shows lower tumor expression in THCA, LUSC, LUAD, KICH and KIRC and higher tumor expression in HNSC. The THCA box plot shows higher TBCEL RNA expression in normal versus tumor tissue (log2 FC = −1.107, t-test p < 0.001).
This table shows molecular features associated with TBCEL in patient tissues and cancer cell lines. In patient samples, TBCEL 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, TBCEL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
