Q-omics provides the consensus-scored FAM243B profile across patient tissues and cancer cell-line models. FAM243B expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in MESO. Additionally, FAM243B RNA expression shows 508 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight MESO, and BRCA as cancer lineages where FAM243B 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 FAM243B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAM243B survival associations across molecular data types. FAM243B RNA expression shows survival associations in the most cancer types (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAM243B RNA expression–survival associations across cancer types. High FAM243B expression shows unfavorable associations in MESO, SKCM, LUAD, PCPG, KIRC and KIRP. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify MESO as the clearest survival context for FAM243B RNA expression.
This table shows molecular features associated with FAM243B in patient tissues and cancer cell lines. In patient samples, FAM243B shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, FAM243B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in CNS.
