ATP binding cassette subfamily F member 2 pseudogene 2Genealiases: []
Q-omics provides the consensus-scored ABCF2P2 profile across patient tissues and cancer cell-line models. ABCF2P2 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, ABCF2P2 is differentially expressed in 2, with the highest sampling consensus in PRAD. Additionally, ABCF2P2 RNA expression shows 8,943 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight OV, PRAD, and GBM as cancer lineages where ABCF2P2 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 ABCF2P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCF2P2 survival associations across molecular data types. ABCF2P2 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 ABCF2P2 RNA expression–survival associations across cancer types. High ABCF2P2 expression shows unfavorable associations in OV, KICH, SKCM, PAAD, UCEC and ACC. The OV 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 OV as the clearest survival context for ABCF2P2 RNA expression.
This table summarizes ABCF2P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in PRAD for RNA.
This table ranks reproducible tumor–normal expression differences for ABCF2P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCF2P2 shows higher tumor expression in PRAD and KIRP. The PRAD box plot shows higher ABCF2P2 RNA expression in tumor versus normal tissue (log2 FC = +0.018, t-test p = .042).
This table shows molecular features associated with ABCF2P2 in patient tissues and cancer cell lines. In patient samples, ABCF2P2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
