Q-omics provides the consensus-scored FAUP2 profile across patient tissues and cancer cell-line models. FAUP2 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, FAUP2 is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, FAUP2 RNA expression shows 7,878 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, ESCA, and LSCC as cancer lineages where FAUP2 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 FAUP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAUP2 survival associations across molecular data types. FAUP2 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAUP2 RNA expression–survival associations across cancer types. High FAUP2 expression shows unfavorable associations in LIHC, CESC, KIRC and UVM, but favorable associations in BRCA and PRAD. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .007). Together, the overview and detailed table identify LIHC as the clearest survival context for FAUP2 RNA expression.
This table summarizes FAUP2 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 ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for FAUP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAUP2 shows lower tumor expression in ESCA. The ESCA box plot shows higher FAUP2 RNA expression in normal versus tumor tissue (log2 FC = −0.271, t-test p = .030).
This table shows molecular features associated with FAUP2 in patient tissues and cancer cell lines. In patient samples, FAUP2 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
