muscleblind like splicing regulator 2Genealiases: MBLL · MBLL39 · PRO2032
Q-omics provides the consensus-scored MBNL2 profile across patient tissues and cancer cell-line models. MBNL2 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MBNL2 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, MBNL2 RNA expression shows 20,317 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KICH, and THYM as cancer lineages where MBNL2 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 MBNL2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MBNL2 survival associations across molecular data types. MBNL2 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MBNL2 RNA expression–survival associations across cancer types. High MBNL2 expression shows unfavorable associations in LUSC, STAD, PAAD and BLCA, but favorable associations in KIRC and UCS. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for MBNL2 RNA expression.
This table summarizes MBNL2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for MBNL2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MBNL2 shows lower tumor expression in KICH, THCA, LUSC, UCEC and BRCA and higher tumor expression in HNSC. The KICH box plot shows higher MBNL2 RNA expression in normal versus tumor tissue (log2 FC = −2.214, t-test p < 0.001).
This table shows molecular features associated with MBNL2 in patient tissues and cancer cell lines. In patient samples, MBNL2 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, MBNL2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BONE.
