FA core complex associated protein 100Genealiases: C17orf70 · FANCX
Q-omics provides the consensus-scored FAAP100 profile across patient tissues and cancer cell-line models. FAAP100 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, FAAP100 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, FAAP100 RNA expression shows 18,390 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, and ACC as cancer lineages where FAAP100 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 FAAP100 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAAP100 survival associations across molecular data types. FAAP100 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAAP100 RNA expression–survival associations across cancer types. High FAAP100 expression shows unfavorable associations in KIRC, ACC, KICH, MESO, HNSC and LGG. The KIRC 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 KIRC as the clearest survival context for FAAP100 RNA expression.
This table summarizes FAAP100 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for FAAP100. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAAP100 shows higher tumor expression in KIRC, KIRP, COAD, LIHC, HNSC and LUAD. The KIRC box plot shows higher FAAP100 RNA expression in tumor versus normal tissue (log2 FC = +0.853, t-test p < 0.001).
This table shows molecular features associated with FAAP100 in patient tissues and cancer cell lines. In patient samples, FAAP100 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, FAAP100 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
