Q-omics provides the consensus-scored FCGR1A profile across patient tissues and cancer cell-line models. FCGR1A expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, FCGR1A is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, FCGR1A protein abundance shows 22,298 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SKCM, KIRC, and GBM as cancer lineages where FCGR1A 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 FCGR1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FCGR1A survival associations across molecular data types. FCGR1A RNA expression shows survival associations in the most cancer types (19), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FCGR1A RNA expression–survival associations across cancer types. High FCGR1A expression shows unfavorable associations in KIRC, UVM and LUSC, but favorable associations in SKCM, ACC and CESC. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for FCGR1A RNA expression.
This table summarizes FCGR1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for FCGR1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FCGR1A shows lower tumor expression in LUAD and higher tumor expression in KIRC, KIRP, COAD, HNSC and THCA. The KIRC box plot shows higher FCGR1A RNA expression in tumor versus normal tissue (log2 FC = +2.425, t-test p < 0.001).
This table shows molecular features associated with FCGR1A in patient tissues and cancer cell lines. In patient samples, FCGR1A shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, FCGR1A 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 UPPER_AERODIGESTIVE_TRACT and LUNG_NSCLC_LUAD.
