upstream binding transcription factor like 1Genealiases: C11orf27 · HMGPI
Q-omics provides the consensus-scored UBTFL1 profile across patient tissues and cancer cell-line models. UBTFL1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in THCA. Additionally, UBTFL1 RNA expression shows 7,043 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight THCA, and THYM as cancer lineages where UBTFL1 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 UBTFL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBTFL1 survival associations across molecular data types. UBTFL1 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBTFL1 RNA expression–survival associations across cancer types. High UBTFL1 expression shows unfavorable associations in THCA, LIHC, CESC, COAD and LGG, but favorable associations in ESCA. The THCA 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 THCA as the clearest survival context for UBTFL1 RNA expression.
This table shows molecular features associated with UBTFL1 in patient tissues and cancer cell lines. In patient samples, UBTFL1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, UBTFL1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
