family with sequence similarity 133 member A pseudogeneGenealiases: []
Q-omics provides the consensus-scored FAM133FP profile across patient tissues and cancer cell-line models. FAM133FP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, FAM133FP is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, FAM133FP RNA expression shows 11,237 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight DLBC, KICH, and GBM as cancer lineages where FAM133FP 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 FAM133FP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAM133FP survival associations across molecular data types. FAM133FP RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAM133FP RNA expression–survival associations across cancer types. High FAM133FP expression shows unfavorable associations in DLBC, LUSC and KICH, but favorable associations in OV, SKCM and PAAD. The DLBC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify DLBC as the clearest survival context for FAM133FP RNA expression.
This table summarizes FAM133FP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for FAM133FP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAM133FP shows lower tumor expression in KICH and THCA and higher tumor expression in HNSC, LUSC and STAD. The KICH box plot shows higher FAM133FP RNA expression in normal versus tumor tissue (log2 FC = −0.150, t-test p = .003).
This table shows molecular features associated with FAM133FP in patient tissues and cancer cell lines. In patient samples, FAM133FP shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
