Q-omics provides the consensus-scored MRRFP1 profile across patient tissues and cancer cell-line models. MRRFP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, MRRFP1 is differentially expressed in 9, with the highest sampling consensus in KIRP. Additionally, MRRFP1 RNA expression shows 8,526 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ESCA, KIRP, and ACC as cancer lineages where MRRFP1 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 MRRFP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MRRFP1 survival associations across molecular data types. MRRFP1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MRRFP1 RNA expression–survival associations across cancer types. High MRRFP1 expression shows unfavorable associations in ESCA, KIRP, ACC, MESO and KICH, but favorable associations in CESC. The ESCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify ESCA as the clearest survival context for MRRFP1 RNA expression.
This table summarizes MRRFP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MRRFP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRRFP1 shows higher tumor expression in KIRP, HNSC, CHOL, STAD, LUSC and COAD. The KIRP box plot shows higher MRRFP1 RNA expression in tumor versus normal tissue (log2 FC = +0.100, t-test p = .007).
This table shows molecular features associated with MRRFP1 in patient tissues and cancer cell lines. In patient samples, MRRFP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
