Q-omics provides the consensus-scored FAR1 profile across patient tissues and cancer cell-line models. FAR1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, FAR1 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, FAR1 RNA expression shows 19,978 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, THCA, and ACC as cancer lineages where FAR1 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 FAR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAR1 survival associations across molecular data types. FAR1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAR1 RNA expression–survival associations across cancer types. High FAR1 expression shows unfavorable associations in KICH, MESO and HNSC, but favorable associations in READ, SKCM and BRCA. The KICH 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 KICH as the clearest survival context for FAR1 RNA expression.
This table summarizes FAR1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for FAR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAR1 shows lower tumor expression in THCA, LUAD and COAD and higher tumor expression in CHOL, LIHC and LUSC. The THCA box plot shows higher FAR1 RNA expression in normal versus tumor tissue (log2 FC = −0.662, t-test p < 0.001).
This table shows molecular features associated with FAR1 in patient tissues and cancer cell lines. In patient samples, FAR1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, FAR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
