Q-omics provides the consensus-scored MLF1 profile across patient tissues and cancer cell-line models. MLF1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, MLF1 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, MLF1 RNA expression shows 19,389 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UCEC, THCA, and ACC as cancer lineages where MLF1 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 MLF1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MLF1 survival associations across molecular data types. MLF1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MLF1 RNA expression–survival associations across cancer types. High MLF1 expression shows unfavorable associations in UCEC, ACC, BLCA, KICH, LGG and SCLC. The UCEC 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 UCEC as the clearest survival context for MLF1 RNA expression.
This table summarizes MLF1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for MLF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MLF1 shows lower tumor expression in THCA, KICH, KIRC and LUAD and higher tumor expression in HNSC and CHOL. The THCA box plot shows higher MLF1 RNA expression in normal versus tumor tissue (log2 FC = −1.448, t-test p < 0.001).
This table shows molecular features associated with MLF1 in patient tissues and cancer cell lines. In patient samples, MLF1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, MLF1 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 OESOPHAGUS and BLOOD_Leukemia.
