methyl-CpG binding domain protein 3 like 5Genealiases: []
Q-omics provides the consensus-scored MBD3L5 profile across patient tissues and cancer cell-line models. MBD3L5 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in CESC. Additionally, MBD3L5 RNA expression shows 5,874 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight CESC, and TGCT as cancer lineages where MBD3L5 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 MBD3L5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MBD3L5 survival associations across molecular data types. MBD3L5 RNA expression shows survival associations in the most cancer types (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MBD3L5 RNA expression–survival associations across cancer types. High MBD3L5 expression shows unfavorable associations in CESC, THCA, SARC, UCS, HNSC and SKCM. The CESC 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 CESC as the clearest survival context for MBD3L5 RNA expression.
This table shows molecular features associated with MBD3L5 in patient tissues and cancer cell lines. In patient samples, MBD3L5 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, MBD3L5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and BONE.
