family with sequence similarity 153 member D, pseudogeneGenealiases: []
Q-omics provides the consensus-scored FAM153DP profile across patient tissues and cancer cell-line models. FAM153DP expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in LUSC. Additionally, FAM153DP RNA expression shows 5,411 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LUSC, and STAD as cancer lineages where FAM153DP 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 FAM153DP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAM153DP survival associations across molecular data types. FAM153DP RNA expression shows survival associations in the most cancer types (7), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAM153DP RNA expression–survival associations across cancer types. High FAM153DP expression shows unfavorable associations in LUSC, OV, SKCM, MESO, SARC and GBM. The LUSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify LUSC as the clearest survival context for FAM153DP RNA expression.
This table shows molecular features associated with FAM153DP in patient tissues and cancer cell lines. In patient samples, FAM153DP shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
