Q-omics provides the consensus-scored FAM74A1 profile across patient tissues and cancer cell-line models. FAM74A1 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, FAM74A1 is differentially expressed in 1, with the highest sampling consensus in KICH. Additionally, FAM74A1 RNA expression shows 9,216 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight STAD, KICH, and TGCT as cancer lineages where FAM74A1 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 FAM74A1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAM74A1 survival associations across molecular data types. FAM74A1 RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAM74A1 RNA expression–survival associations across cancer types. High FAM74A1 expression shows unfavorable associations in STAD, COAD, LGG, KIRP, LIHC and TGCT. The STAD 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 STAD as the clearest survival context for FAM74A1 RNA expression.
This table summarizes FAM74A1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for FAM74A1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAM74A1 shows higher tumor expression in KICH. The KICH box plot shows higher FAM74A1 RNA expression in tumor versus normal tissue (log2 FC = +0.120, t-test p = .012).
This table shows molecular features associated with FAM74A1 in patient tissues and cancer cell lines. In patient samples, FAM74A1 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, FAM74A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BREAST.
