family with sequence similarity 47 member BGenealiases: []
Q-omics provides the consensus-scored FAM47B profile across patient tissues and cancer cell-line models. FAM47B expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in READ. Additionally, FAM47B mutation status shows 6,625 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight READ, and UCEC as cancer lineages where FAM47B 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 FAM47B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAM47B survival associations across molecular data types. FAM47B RNA expression shows survival associations in the most cancer types (8), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAM47B RNA expression–survival associations across cancer types. High FAM47B expression shows unfavorable associations in READ, HNSC, BLCA, THCA and PCPG, but favorable associations in STAD. The READ 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 READ as the clearest survival context for FAM47B RNA expression.
This table shows molecular features associated with FAM47B in patient tissues and cancer cell lines. In patient samples, FAM47B shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, FAM47B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and UPPER_AERODIGESTIVE_TRACT.
